AN ANALYSIS OF AGRICULTURAL DEVELOPMENT PROJECTS AS
A TOOL TO INCREASE COMMUNITY RESILIENCE: A CASE OF
MONZE DISTRICT IN ZAMBIA
By
BOWEN BANDA
2008134484
Submitted in partial fulfilment of the requirements for the degree of
Master in Disaster Management
in the
Disaster Management Training and Education Centre for Africa
UNIVERSITY OF THE FREE STATE
Bloemfontein
Study Leader:  DR. ANDRIES J. JORDAAN
February 2013
Executive Summary
The aim of this study was to analyse why social vulnerability was on the increase in
Monze District, Southern Province of Zambia despite the many agricultural
development projects that were implemented. To understand this phenomenon, the
study evaluated the design and implementation of current agricultural development
projects in Monze District from two perspectives. The first perspective focused on the
user and the second focused on the planners.
This evaluation was done to understand how these developmental projects were
designed and implemented, and how the projects contributed to enhancing community
resilience to reduce social vulnerability among people at risk in two sampled
communities in Monze. The two communities had the same weighted magnitude of
risk and social vulnerability but different number of agricultural development projects
being implemented.
From a user perspective, one of the two communities assessed with less project
interventions was treated as a control whilst the second with more project
interventions was treated as the intervention study area. Thus, the study utilised a
mixed design method to undertake field community resilience analysis. It further
utilised the sample survey and focused group discussions.
The study randomly sampled 74 households to solicit views on their inherent
community resilience and how they perceived it to have been increased by
agricultural development projects. Views from the community members were
collected and analysed using a modified sustainable livelihoods framework.
From a planner’s perspective, the projects were analysed using content analysis and
personal contacts with some planners, monitoring and evaluation officers including
projects officers.
Results show three main outcomes. The first outcome is that Keemba Community
with seven developmental projects out of twelve being implemented in Monze
exhibited less resilience when analysed using the modified sustainable livelihoods
model. Nalutanda with three developmental projects exhibited more resilience. The
i
third outcome was that the communities did not attribute their current resilience
capacity levels to the effects of the current developmental projects except for hazard
early warning awareness.
The study expectations were that Keemba should have had more resilience since it
had more developmental projects being implemented. In this way the increased and
enhanced resilience in Keemba would have been attributed to appropriateness,
effectiveness, efficiency, relevancy and sustainability of the many agricultural
developmental projects that were being implemented. Since the findings were
contrary, the study concluded that the agricultural development projects being
implemented were not effective at increasing community resilience in terms of their
design, planning and implementation. As such, the projects did not contribute
effectively to the reduction of social vulnerability and needed to be redesigned to
mainstream disaster risk reduction. The study further discovered that poverty levels
were still high in both communities studied despite the interventions. The high
poverty levels contributed to the prevailing low resilience and thus to increased social
vulnerability in Monze, as well.
Keywords: community resilience, non-emergency agricultural development projects,
social vulnerability to food insecurity, disaster risk reduction, poverty alleviation,
project planning and design, project implementation, monitoring and evaluation.
ii
Dedication
To my lovely and supportive wife Mary Kalungwe-Banda, my daughter, Kasiwa
Banda and Mr. Nuwa Senkebe-Serejogi my former boss at Lutheran World
Federation, Meheba Refugee Camp, north-western Zambia.
iii
Acknowledgements
Many people made this study possible.
 First, I would like to acknowledge the role of my supervisor, Dr. Andries
Jordaan, an Agricultural Economist and Director for DiMTEC that guided me
throughout the course of this study without whom, completion would have
not been possible.
 Secondly, I would like to acknowledge the DiMTEC Team comprising Ms.
Alice Nc’ube; Ms. Olivia Kunguma; Mr Johannes Belle; Ms. Kahende
Balugon and Mrs. Annelene Schroder for encouragement and other technical
support during the course of undertaking this study.
 The other person acknowledged is Mr. Richard Bwalya an Agricultural
Economist with the University of Zambia, Institute of Economic and Social
Research (INESOR) for some technical guidance on possible data analytical
tools that were used in this study.
 My other heartfelt gratitude goes to the Ministry of Agriculture and Livestock
Team in Monze and my research assistants at field level. They worked tireless
and helped mobilise the communities for the focused group discussions. The
officers are Mr. Paul Nyambe, the Senior Agricultural Officer; Mr. Brian
Chavwanga, the Agricultural Technical Officer; Mr. Mulikita and Mr.
Mazuba, the Agricultural Camp Extension Officers for Keemba and
Nalutanda Agricultural Camps respectively. Mr. Biggie Chilobe and Mr.
Obvious Chaaba for assisting with actual field data collection under my direct
supervision.
 I also feel indebted to my immediate supervisor at my work place, Mr. Arthur
Mazimba and the management team at Zambia Centre for Applied Health,
Research and Development (ZCAHRD) for having allowed me three months
study leave to complete this dissertation.
 Finally but not the least, my family is not forgotten in these
acknowledgements. They made great sacrifices that made it possible for me to
complete this study. Thank you all and God bless.
iv
Declaration of originality
I, Bowen Banda, hereby present for consideration by the Disaster Management
Training and Education Centre for Africa (DiMTEC), within the Department of
Agricultural Economics, Faculty of Natural Sciences at the University of the Free
State (UFS), my dissertation in partial fulfilment of the requirements for the degree of
Master in Disaster Management.
I declare that this dissertation is the product of my own efforts. No other person has
published a similar study from which I might have copied. No part of this work may
be published without my consent as well as that of Disaster Management Training and
Education Centre for Africa (DiMTEC).
The views, opinions and suggestions expressed in this study should be attributed to
the author only.
Name and Surname: ---------------------------------------------
Signature: -----------------------------------------------
v
Approval Form
The undersigned certify that they have read and recommended to the University of
The Free State for acceptance; a research entitled ‘an analysis of agricultural
development projects as a tool to increase community resilience: A case of Monze
District in Zambia’, submitted by Bowen Banda in partial fulfilment of the
requirements for the degree of Master in Disaster Management.
…………………………………………………
SUPERVISOR (S)
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PROGRAMME/SUBJECT COORDINATOR
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EXTERNAL SUPERVISOR
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Table of Contents
CHAPTER 1 ..................................................................................................................1
ORIENTATION OF THE STUDY ...............................................................................1
1.1 Introduction..............................................................................................................1
1.2 Increased social vulnerability to food insecurity in Zambia ....................................1
1.3 Description of study area .........................................................................................2
1.3.1 Location, spatial size and population ................................................................2
1.3.2 Agro-ecological zones & farming systems .......................................................2
1.3.3 Major hazards....................................................................................................2
1.3.4 Economic activities ...........................................................................................3
1.3.5 Traditional leadership........................................................................................4
1.3.6 Social and cultural setting .................................................................................4
1.3.7 District agricultural management administration..............................................4
1.3.8 District disaster management administration & DRR co-ordination ................5
1.4 Background to study problem in Monze..................................................................6
1.4.1 Current social vulnerability to food insecurity in Monze District ....................6
1.4.2 Chronic social vulnerability to food insecurity in Monze District....................6
1.4.3 Current projects being implemented in Monze to alleviate poverty and food
insecurity ....................................................................................................................7
1.5 Statement of the problem.........................................................................................8
1.6 Research objectives..................................................................................................9
1.6.1 Sub-objectives ...................................................................................................9
1.6.2 Research questions ............................................................................................9
1.7 Hypothesis..............................................................................................................10
1.8 Justification of the study ........................................................................................10
1.9 Significance of the study........................................................................................12
1.10 Research methods ................................................................................................12
1.10.1 Population and sample ..................................................................................13
1.10.2 Data collection tools......................................................................................13
1.10.3 Data collection procedures ............................................................................14
1.10.4 Data analysis and interpretation ....................................................................14
1.11 Ethical considerations ..........................................................................................14
1.12 Delimitation .........................................................................................................15
1.13 Outline of research dissertation ...........................................................................15
1.14 Conclusion ...........................................................................................................16
CHAPTER 2 ................................................................................................................17
vii
UNDERSTANDING THE CONCEPT OF COMMUNITY RESILIENCE ...............17
2.1 Introduction............................................................................................................17
2.2 Resilience concept .................................................................................................17
2.3 Current debate on community resilience ...............................................................19
2.3.1 Community resilience as a metaphor ..............................................................20
2.3.2 Social vulnerability and community resilience capacity.................................22
2.3.3 Community resilience as more than coping capacity......................................22
2.3.4 Disaster risk, outcome and community resilience...........................................23
2.3.5 Community resilience in disaster management continuum.............................25
2.3.6 Community resilience as more than food security ..........................................25
2.3.7 Community resilience as more than poverty alleviation .................................26
2.3.8 Community resilience in urban and rural areas...............................................27
2.4 Achieving community resilience through sustainable development & livelihoods -
access to resources .......................................................................................................27
2.5 Enhancing community resilience through developmental projects’ intervention..29
2.6 Other concepts used in this study...........................................................................29
2.6.1 Disaster mitigation ..........................................................................................29
2.6.2 Disaster risk reduction strategies.....................................................................29
2.6.3 Disaster risk management ...............................................................................30
2.6.4 Disaster preparedness planning.......................................................................30
2.6.5 Non-emergency agricultural development projects ........................................30
2.6.6 Project design or formulation..........................................................................31
2.6.7 Project implementation ...................................................................................31
2.6.8 Project impact..................................................................................................31
2.6.9 Disaster prone area ..........................................................................................31
2.6.10 Village ...........................................................................................................31
2.6.11 Vulnerability to food insecurity ....................................................................31
2.7 Conclusion .............................................................................................................32
CHAPTER 3 ................................................................................................................33
THEORETICAL BASIS FOR ENHANCING COMMUNITY RESILIENCE USING
DEVELOPMENTAL PROJECTS ..............................................................................33
3.1 Introduction............................................................................................................33
3.2 Framework for planning conventional developmental projects.............................33
3.2.1 Strength of the project planning and management cycle ................................34
3.2.2 Weakness for the project planning cycle & way forward ...............................34
3.3 Mainstreaming disaster risk reduction in the project management cycle ..............35
3.3.1 Analysis of risk as part of the mainstreaming process ....................................36
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3.3.1.1 Desk analysis of risk .................................................................................36
3.3.1.2 Field assessment of risk ............................................................................38
3.3.2 Frameworks used for detailed analysis of risk at pre-project design stage.....38
3.3.3 Sustainable livelihoods model.........................................................................39
3.3.3.1 Human assets ............................................................................................40
3.3.3.2 Natural assets ...........................................................................................40
3.3.3.3 Physical assets ..........................................................................................41
3.3.3.4 Financial assets ........................................................................................41
3.3.3.5 Social assets..............................................................................................41
3.3.3.6 Political assets ..........................................................................................42
3.3.3.7 Challenges of using the sustainable livelihoods model ............................42
3.3.3.8 Blending analysis of livelihood assets with risk governance assessment.42
3.3.3.9 Community risk awareness capacity in the sustainable livelihood model43
3.3.3.10 Community based disaster preparedness planning & plans ..................44
3.3.3.11 Hazard analysis in the sustainable livelihood model .............................45
3.3.3.12 Vulnerability assessments in the sustainable livelihood model ..............47
3.3.3.13 The modified sustainable livelihoods model used in this study ..............48
3.3.4 Mainstreaming DRR at project design stage...................................................48
3.3.5 Mainstreaming DRR at project appraisal stage...............................................48
3.3.6 Mainstreaming DRR at project implementation stage ....................................49
3.3.7 Mainstreaming DRR in monitoring and evaluating process ...........................49
3.3.8 Mainstreamed DRR in the overall project planning and management cycle ..50
3.4 Evaluating project impact for enhanced community resilience .............................51
3.4.1 Theory of comparing group of beneficiaries to itself over time .....................51
3.4.2 Theory of comparing a group affected by the project to a group not affected
by the project over time............................................................................................51
3.4.2.1 Strict control evaluation design method ...................................................52
3.4.2.2 Comparison-group monitoring.................................................................52
3.5 Applying the project impact assessment theory.....................................................52
3.6 Conclusion .............................................................................................................54
CHAPTER 4 ................................................................................................................55
AGRICULTURAL DEVELOPMENT PROJECTS AS A TOOL TO INCREASE
COMMUNITY RESILIENCE.....................................................................................55
4.1 Introduction............................................................................................................55
4.2 Global importance of agriculture in poverty alleviation and resilience building ..55
4.3 Strategic use of agricultural development projects ................................................56
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4.4 Challenges for using agricultural development projects to enhance community
resilience globally ........................................................................................................57
4.4.1 Operational Challenges ...................................................................................57
4.4.1.1 Poor project planning...............................................................................57
4.4.2 Conceptual Challenges....................................................................................58
4.4.2.1 Overemphasis on technological advancement .........................................58
4.4.3 Strategic Challenges........................................................................................59
4.4.3.1 False solutions to reduce disaster risk .....................................................59
4.5 Global examples of successfully designed and implemented agricultural
development projects to enhance community resilience .............................................60
4.5.1 Asia..................................................................................................................60
4.5.1.1  Bangladesh ..............................................................................................60
4.5.1.2 Philippines ................................................................................................62
4.5.2 South America.................................................................................................63
4.5.2.1  Honduras .................................................................................................63
4.5.3 Europe .............................................................................................................65
4.5.4 Sub Saharan Africa..........................................................................................66
4.5.4.1 Malawi and Namibia ................................................................................66
4.5.4.2 Ethiopia ....................................................................................................66
4.5.4.3 Kenya ........................................................................................................66
4.5.4.4 Zimbabwe..................................................................................................66
4.6 Examples of successful developmental projects implemented in Zambia to
enhance community resilience .....................................................................................67
4.7 Policy guidelines for designing and implementing agricultural development
projects in Zambia........................................................................................................68
4.8 Specific challenges of using agricultural development projects in Zambia ..........69
4.8.1 Very high poverty levels and government overemphasis on maize production
..................................................................................................................................69
4.8.2 Low crop and livestock outputs ......................................................................69
4.8.3 Low irrigation utilisation.................................................................................70
4.8.4 Agricultural credit ...........................................................................................70
4.8.5 Conservation agriculture adoption against real diversification promotion .....71
4.9 Summary of research gaps .....................................................................................71
4.10 Conclusion ...........................................................................................................72
CHAPTER 5 ................................................................................................................73
PRESENTATION OF FINDINGS, ANALYSIS AND DISCUSSION ......................73
5.1 Introduction............................................................................................................73
5.2 Sampling results.....................................................................................................74
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5.2.1 First stage cluster sampling .............................................................................74
5.2.2 Second stage stratified sampling .....................................................................76
5.3 Results of how projects are designed: planner’s perspective.................................77
5.4 Co-ordination of DRR activities at district level ...................................................79
5.5 Impact of project design and implementation on enhanced community resilience:
end user perspective .....................................................................................................79
5.5.1 Enhanced human assets...................................................................................79
5.5.1.1 Demographic distribution by gender........................................................80
5.5.1.2 Demographic distribution by marriage ....................................................80
5.5.1.3 Education..................................................................................................81
5.5.1.4 Household family size ...............................................................................81
5.5.1.5 Age distribution of household heads ........................................................82
5.5.2 Livelihood sources & farming system ............................................................82
5.5.3 Physical & natural assets.................................................................................84
5.5.3.1 Access to land for crop farming ...............................................................84
5.5.3.2 Size of cropping farm plots .......................................................................85
5.5.3.3 Livestock numbers in Keemba and Nalutanda .........................................86
5.5.3.4 How respondents acquired livestock ........................................................87
5.5.3.5 Livestock trends ........................................................................................89
5.5.3.6 Attribution of the current livestock trend .................................................90
5.5.3.7 Access to other sources of physical assets................................................91
5.5.3.8 Access to veterinary services during times of adversity ...........................92
5.5.4 Financial assets................................................................................................95
5.5.4.1 Revenue from milk sales ...........................................................................95
5.5.4.2 Attribution of increases in milk sales .......................................................96
5.5.4.3 Other revenue from crops and livestock sales ..........................................97
5.5.4.4 Micro financing & access to credit ..........................................................99
5.5.5 Risk awareness as part of community resilience capacity ............................100
5.5.5.1 Enhanced hazard awareness capacity....................................................100
5.5.5.2 Perceived hazards of highest magnitude ................................................102
5.5.5.3 Enhanced vulnerability awareness capacity ..........................................102
5.5.5.4 Enhanced early warning capacity ..........................................................104
5.5.5.5 Attribution for increased risk awareness capacity .................................105
5.5.6 Political assets as part of community cohesion.............................................106
5.5.6.1 Community disaster preparedness plan & co-ordinating committees ...106
5.5.7 Coping response mechanisms .......................................................................108
5.5.8 Social assets as part of community cohesion ................................................109
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5.5.8.1 Community willingness to assist other vulnerable members ..................109
5.5.9 Other findings from user perspective ............................................................110
5.5.9.1 Irrigation facilitation ..............................................................................110
5.5.9.2 Communal cereal and seed banks ..........................................................111
5.5.9.3 WVZ community disaster preparedness planning facilitation................111
5.6 Overall community perception of projects’ impact .............................................111
5.7 Conclusion ...........................................................................................................113
5.7.1 Six sustainable livelihoods assets analysed and discussed from end user
perceptive ...............................................................................................................113
5.7.2 Effectiveness of project planning & implementation from planners’
perspective..............................................................................................................114
CHAPTER 6 ..............................................................................................................116
CONCLUSION AND RECOMMENDATIONS ......................................................116
6.1 Introduction..........................................................................................................116
6.2 Conclusion ...........................................................................................................116
6.3 Summary of contributions toward DRR policy debate in Zambia ......................118
6.4 Recommendations................................................................................................118
6.5 Suggestions for further research ..........................................................................119
7. REFERENCES ......................................................................................................120
8. APPENDIX............................................................................................................134
xii
List of Figures
Figure 1.1: Map of Monze showing study area .............................................................3
Figure 3.1: Project planning and management cycle for mainstreaming DRR ...........34
Figure 3.2: DFID Sustainable livelihoods model ........................................................39
Figure 3.3: Expanded livelihood assets to measure enhanced resilience.....................43
Figure 3.4: Community disaster preparedness plan outline.........................................45
Figure 3.5: Modified SL model used in this study.......................................................48
Figure 3.6: Adapted project management framework incorporating modified SL
model............................................................................................................................50
Figure 4.1: Blend of agriculture technology with risk governance capacity to enhance
community resilience ...................................................................................................59
Figure 5.1: Household size in Keemba and Nalutanda................................................82
Figures 5.2: Age distribution of household heads in Keemba and Nalutanda.............82
Figure 5.3: Major livelihoods in Keemba and Nalutanda............................................83
Figure 5.4: Ownership of land in Keemba and Nalutanda...........................................85
Figure 5.5: Size of farm plot size for respondents in Keemba and Nalutanda ............86
Figure 5.6: How respondents acquired livestock in Keemba and Nalutanda ..............87
Figure 5.7: Livestock trends in Keemba and Nalutanda..............................................89
Figure 5.8: Reasons for livestock increases and decreases in Keemba and Nalutanda90
Figure 5.9: Access to other physical and natural assets in Keemba and Nalutanda ....92
Figure 5.10: Income generated by households through sale of milk ...........................95
Figure 5.11: Reasons for increases and decreased milk sales......................................97
Figure 5.12: Hazard awareness capacity and most prominent hazard .......................101
Figure 5.13: Perceived hazard of highest magnitude in Keemba and Nalutanda ......102
Figure 5.14: Type of people perceived more vulnerable by the respondents ............104
Figure 5.15: Future risk communication strategies....................................................105
Figure 5.16: Community attribute for increased risk awareness capacity .................106
Figure 5.17: Awareness of presence of community disaster management and
mitigation committees................................................................................................107
Figure 5.18: Coping response mechanisms ...............................................................108
Figure 5.19: How community assist the vulnerable to manage disaster outcomes ...109
Figure 5.20: Actual projects that respondents benefited from in Keemba and
Nalutanda ...................................................................................................................112
xiii
List of Tables
Table 1.1: Current agricultural development projects being implemented in Monze-- 8
Table 3.1: Summary of indicators for desk analysis of risk using the CVA framework
----------------------------------------------------------------------------------------------------- 37
Table 3.2: Hazards classification and description------------------------------------------ 47
Table 4.1: Continental population dependant on agriculture for survival in 2012 ---- 55
Table 5.1: Weighted hazards and vulnerability status for Keemba and Nalutanda
camps in 2012 ----------------------------------------------------------------------------------- 75
Table 5.2: Camp sampling based on number of agricultural projects being
implemented ------------------------------------------------------------------------------------- 76
Table 5.3: Summary of agricultural camps sampled for the study----------------------- 76
Table 5.4: Second stage sampling plan ------------------------------------------------------ 77
Table 5.5: Results on human assets ---------------------------------------------------------- 80
xiv
Acronyms
ADP Area Development Project
ADPC Asian Disaster Preparedness Centre
ADSP-SC Agricultural Development Support Programme -Small Holder
Commercialisation
AusAID Australian Aid
AU African Union
CEO Camp extension officer
CFU Conservation Farming Unit
CAPES Community Agro-meteorological Participatory Extension Services
CASIP Conservation Agriculture Scaling up for Increased Productivity
CRSA Climate Resilient Sustainable Agriculture
CVA Capacity Vulnerability Analysis
DFID Department of International Developmental
DiMTEC Disaster Management Training and Education Centre for Africa
DMMU Disaster Management and Mitigation Unit
DRM Disaster Risk Management
DRR Disaster Risk Reduction
EDRP Emergency Drought Recovery Project
EU European Union
FEWSNet Famine Early Warning Systems Network
FISP Farmer Input Support Programme
FISRI Farmer Input Support Response Initiative Project
HFA Hyogo Framework of Action
FAO Food and Agricultural Organisation
GEF Global Environmental Fund
GAM Global Acute Malnutrition
GART Golden Valley Research Institute
GRZ Government of the Republic of Zambia
IFAD International Fund for Agricultural Development
IFRC International Federation of the Red Cross and the Red Crescent
IRDP Integrated Rural Developmental Project
xv
MAL Ministry of Agriculture and Livestock
MCDMCH Ministry of Community Development , Mother and Child Health
NAP National Agricultural Policy
NEPAD New Partnership for African Development
PAM Programme Against Malnutrition
PAR Pressure and Release Model
TSP Transformative Social Protection
SAO Senior Agricultural Officer
SAPP Small Agribusiness Promotion Programme
SLF Sustainable Livelihoods Framework
SLIP Small Livestock Investment Project
SNDP Six National Developmental Plans
SRM Social Risk Management
UNISDR United Nations International Strategy for Disaster Risk
UNDP United Nations Developmental Programme
USAID United States Aid Agency for International Development
UNU-EHS United Nations University - Institute for Environment and Human
Security
WFP World Food Programme
WVZ World Vision Zambia
ZMD Zambia Meteorological Department
ZVAC Zambia Vulnerability Assessment Committee
ZRCS Zambia Red Cross Society
xvi
CHAPTER 1
ORIENTATION OF THE STUDY
1.1 Introduction
Since the launch of the Hyogo framework of action (HFA) in 2005, there has been
increased awareness at practitioner, government and non-governmental organisations
(NGO) level for the need to mainstream disaster risk reduction in non-emergency
developmental projects (UNISDR 2005:18). This increased awareness has been in
view of using developmental projects to alleviate poverty and enhance community
resilience. Ironically, disaster losses and social vulnerability have also been on the
increase globally. Ideally, social vulnerability should have been decreasing with
increased conceptual knowledge in disaster risk reduction (DRR). This increase in
social vulnerability is a paradox that needs to be addressed by both practitioners and
academicians.
This chapter outlines the background to the research problem for the study, the aim,
objectives, research hypothesis, purpose, and study delimitations. The chapter also
highlights the methodology used to undertake the study.
1.2 Increased social vulnerability to food insecurity in Zambia
According to the FAO, WFP and IFAD (2012:47), Zambia is one of the hot spots for
chronic social vulnerability to food insecurity in Africa. Social vulnerability to food
insecurity is analysed by the World Hunger Report using indicators such as
malnutrition and access to food. Based on these indicators, the world hunger report
concludes that social vulnerability in Zambia is still high due to high levels of
malnutrition. Social vulnerability is incremental using the global acute malnutrition
(GAM) indicator despite increases in maize production at household as well as the
national level (ZVAC, 2008:30; Jayne, Mason, Burke, Shipekesa, Chaopoto &
Kabaghe, 2011:36).
This vulnerability to food insecurity in Zambia is more pronounced in disaster prone
rural parts of the country despite increased maize outputs. As an example, Zambia just
recorded bumper harvests in maize production at all levels in the last two growing
1
seasons 2010/11 and 2011/12, but social vulnerability to food insecurity is still high at
household and community level. Maize crop production in Zambia is considered an
indicator of good economic performance for the rural communities in terms of food
security and poverty alleviation. As such, it is well monitored and any indication that
it is dwindling is a sign of hunger starting to manifest at community level.
High social vulnerability to food insecurity implies that community resilience among
the poor and vulnerable rural communities, in disaster prone areas, is still low for
them to overcome potential disaster impact. A localised example of increasing
vulnerability in Zambia is found in Monze District, Southern Province of Zambia.
1.3 Description of study area
1.3.1 Location, spatial size and population
Monze District is located 180 km south of Lusaka the capital of Zambia on latitudes
160 16.493’ south of the equator and longitude is 270 28.566’ east of the Greenwich
meridian.  The size of the district is 6,687 square kilometres. Monze has a population
of 195,921 of which 49% are male and 51% are female (GRZ 2010a:25).
1.3.2 Agro-ecological zones & farming systems
Monze falls in region II of the Zambian agro-ecological zones and receives an
average annual rainfall of 801 mm. The rain season in Monze starts from around 13
November and ends around 24 March. The length of the growing season is 90-150
days. Major farming systems are that of livestock and maize crop (Kalinda, Tembo,
Kuntashula, Langyintuo, Mwangi & La Rovere, 2010:4; Nanja, 2010:77-85).
1.3.3 Major hazards
The district experienced drought in 1992/93, 1995/96, 2003/04 (Nanja, 2010:77-85).
Floods were experienced in the 2007/08 season (ZVAC, 2009:123). HIV prevalence
is at 14%. Corridor livestock disease prevalence is also high (Haller, 2007:141).
Corridor disease was first experienced in 1981-82. The second wave of the outbreak
was in 1990 and 1997 (Kadohira & Samui 2001:73).
These four hazards of drought, floods, HIV/AIDS and livestock diseases have been
cited as the major threats to livelihoods in Monze (Kalinda et al, 2010:27).
2
Figure 1.1: Map of Monze showing study area
(Source: Adapted from Kadohira & Samui 2001:70)
1.3.4 Economic activities
The major economic activity is rain-fed agriculture. Monze has 19,034 farmers of
which 99% or 18,932 are small-scale. Major crops grown are maize and cotton. Cattle
is the major livestock kept by the rural communities (GRZ, 2006a:4).
Monze District had 200,000 heads of cattle in 1978, 129,111 in 2008 & 144,320 in
2010 (Saha, 1994:20; GRZ, 2011a:1). The livestock numbers decreased from 1978 to
2008 due to negative impact of livestock diseases but are on the upward trend since
2008 (Kadohira & Samui 2001:73).
The importance of livestock in the Monze farming systems cannot be
overemphasised. It has been an important source of livelihood for more than 100
years (Saha 1994:6; FAO 2005:18). Its support for enhanced community resilience is
thus very important.
3
1.3.5 Traditional leadership
Six chiefs govern the area at sub district level. The chiefs are Monze, Ufwenuka,
Choona, Mwanza, Choongo and Hamusonde. The chiefs have a say on how natural
resources are allocated and thus have an important role to play in as far as community
resilience is concerned. The chiefs representatives, the village heads, commonly
referred to as village headmen sit on committees at village cluster level that co-
ordinate developmental activities and disaster management. As such the chiefs
through their village heads tend to have a lot of influence on these committees and
can influence decision making that would also affect resilience enhancement (GRZ
2010b:94).
1.3.6 Social and cultural setting
The predominant tribe in the rural part of the district are the Tonga speaking people.
Tonga means ‘Independent’ in Shona language. The ‘independence’ was implied
because the Tonga lacked formal political leadership structures, as described by the
Shonas in 1561 (Saha, 2004:11-12).
The Tonga speaking people live in homesteads commonly referred to as villages.
They practice polygamous lifestyles and the extra wives provide the much-needed
labour for farming activities.
Cattle ownership is a traditional form of wealth for the Tongas. Men’s prestige and
respect is therefore, related to the number of cattle they own (GRZ, 2006a:4).
1.3.7 District agricultural management administration
Monze is sub-divided into five agricultural administrative blocks: (i) Monze south;
(ii) State land; (iii) Monze central, (iv) Monze east and (v). Monze north. The
agricultural blocks are further sub divided into agricultural camps that consist of many
villages and other sub zones. There are thirty-four agricultural camps in total in
Monze and these are used as study clusters in this discourse. Individual households
are the other study units used in this discourse.
Agricultural Camp Extension Officers (CEO) that report to the sector head of
extension and field services at district level, manage the agricultural camps. The head
of extension services at district level reports to the District Agricultural Co-ordinator
4
(DACO). The DACO in turn oversees all activities in different departments within the
Ministry of Agriculture and Livestock at district level.
1.3.8 District disaster management administration & DRR co-ordination
Disaster management and disaster risk reduction activities at district level are co-
ordinated under the district disaster management committee (DDMC). The DDMC is
a sub-committee of the District Development Co-ordinating Committee (DDCC). The
District Commissioner chairs both the DDCC and the DDMC subcommittee. The
District Commissioner is the representative of the central government at district level
and is appointed directly by the Republican President. Whilst it is good that the
District Commissioner chairs these committees, there is very little representation of
the local community on these committees. As such, there is no guarantee that the
interests of the locals at village level are taken care of when it comes to articulating
DRR issues.
The district disaster management committee is further expected to organise satellite
committees at village cluster level to help them co-ordinate disaster related activities
at lower level (GRZ, 2010b:94.)
There are too many developmental and governance administrative units that overlap
and contradict each other at sub district level in Zambia. These many units create
operational challenges in developmental administration at grass root level (Chikulo,
2009:104). For example the political administrative system through the Local
Councils use the constituencies, wards, branch and section administrative units at sub
district level to manage developmental initiatives. The Ministry of Finance and
National Planning through the Central Statistical Office utilises the census
supervisory areas and the standard enumeration area for their survey management.
The Ministry of Agriculture and Livestock extension department utilises the
Agricultural Blocks and the Agricultural Camps at sub district level to deliver,
manage and co-ordinate agricultural developmental services. The Ministry of Chiefs
Affairs utilises chiefdoms and village heads for their service delivery co-ordination.
All these administrative units do not share the same boundaries nor administrative
structures hence the challenges of how to manage developmental administration.
5
1.4 Background to study problem in Monze
1.4.1 Current social vulnerability to food insecurity in Monze District
In February 2012, communities in the northern part of Monze District were reported
to have experienced hunger due to own-grown food shortages. According to Chibulu
(Zambian Post Newspaper, 5 March 2012) these food shortages came about due to
partial crop failure caused by prolonged dry spells that affected the communities from
December 2011 to February 2012. The hunger that was experienced was in part
seasonal due to normal hunger periods that occur around this time of the year, but
emerged just nine (9) months after the communities recorded ‘bumper maize crop
harvest in the past two growing season’. This was ironic.
Early calls for emergency relief food provision by the people at risk in the northern
parts of Monze clearly showed that these communities were still susceptible to
disaster risk of hunger and had low disaster resilience capacity for them to have run
out of food so soon. Ideally, a small magnitude of drought hazard or prolonged dry
spell, should not translate into acute hunger among disaster resilient people that have
sufficient reserves in cash and other forms of materials.
The hunger experienced in this part of Monze in 2012 was noticeable despite these
communities having been supported extensively with many agricultural rural
developmental projects in the last forty years or so. All these projects have been
implemented by government, NGOs and other stakeholders to enhance crop and
livestock production and reduce hunger.
1.4.2 Chronic social vulnerability to food insecurity in Monze District
Village-communities and individual households in Monze District are reported to
have been very prosperous in farming and cattle rearing before the 1990s but that
poverty and food insecurity started to increase from there onwards due to loss of
livestock (Cliggett, 2000:126). This loss of livestock has been attributed to high
prevalence of livestock diseases, drought and anarchy (Bond, Ndubani & Nyblade,
2000:13).
Farrington & Saasa (2002:29) recognised Southern Province of Zambia to be
particularly vulnerable to drought and called for investment into drought tolerant crop
6
interventions through direct investment and technical agricultural research. However,
according to Guha-Sapir, Vos, Below & Ponserre (2012:18) drought is a normal and
predictable phenomenon. Being slow onset in nature, drought should not be a real
food insecurity problem in Zambia with proper planning and right investment in
irrigation and agriculture.
Kajoba’s additional views (2008:78 & 2009:8) are that land tenure, government
ideology and agricultural policies have contributed to increasing poverty and social
vulnerability in Zambia. He has argued that rural developmental projects such as
agricultural development projects have contributed to increasing social vulnerability
in Zambia at community level by creating and entrenching a culture of: (i)
dependency on one cereal crop which is maize; and (ii) dependency on massive state
intervention through provision of subsidies on fertilisers, transport, marketing and
credit. In his views this dependency has become difficult to change hence contributing
to increased social vulnerability to food insecurity. Kajoba (2008:80) has therefore
called for empirical research to be done to find out whether farmers who have been
affected by natural hazards are making long-term adaptations in order to reduce their
social vulnerability and improve on their resilience of their food systems.
1.4.3 Current projects being implemented in Monze to alleviate poverty and food
insecurity
Currently there are twelve public and donor funded agricultural development projects
being implemented in Monze to attempt to alleviate poverty and improve food
security. The projects are outlined in Table 1.1.
7
Table 1.1: Current agricultural development projects being implemented in Monze
Sn Project Title Duration ofImplementation Financier
1 Targeted Food Security Pack Project (FSP) 2000- ongoing Central Government
2 Farmer Input Support Project (FISP) 2003- todate Central Government
3 Agricultural Development Support Programme -Small Holder Commercialisation  (ADSP-SC) 2006 – 2012 World Bank
4 Small Livestock Investment Project (SLIP) 2006 – 2013 IFAD US$10 millionproject
5 Conservation Agriculture Scaling up for IncreasedProductivity and Production (CASPP) 2008 – 2012 FAO
6 Small Agribusiness Promotion Programme (SAPP) 2010 – 2016 IFAD, GRZ
7 Adapting to the Effects of Climate Variability and 2012 – 2015 GEF, FAO, GRZ,Change in Agro-ecological I & II UNDP, CFU, ZMD
Farmer Input Support Response Initiative Project
8 (FISRI) to rising cost of agricultural commodities 2009 – 2012 EU through FAO
in Zambia
Member contribution,
Small Holder Dairy Farming Improvement Project Revolving funds,
9 (Monze Dairy Farmers Co-operative Organisation 2000- ongoing GART, MAL, Land
Project) O’ Lakes, Coop
AFRICA,, DFID
10 World Vision Zambia (WVZ): Chief ChoongoArea Integrated Development Project 2007- 2022 WVZ Korea
11 Dunavant cotton 2001 - ongoing Dunavant
12 Alliance Ginnery 2007- ongoing Alliance
(Source: FAO Lusaka, Ministry of Agriculture & Livestock Monze & Lusaka)
Government departments, NGOs like WVZ and the private sector are implementing
these projects. The projects’ durations range from two to fifteen years.
1.5 Statement of the problem
Social vulnerability was still on the increase in Monze District despite the many
agricultural interventions that had been implemented to help communities increase
their agricultural outputs, alleviate poverty and food insecurity. Why was this social
vulnerability still on the increase in Monze despite this kind of developmental
support?
From literature, the perceived causes of increasing social vulnerability were two fold.
One perspective was that of increasing social vulnerability due to natural hazards. The
other perspective was that of increasing social vulnerability despite continued rural
8
developmental project support to reduce poverty, food insecurity and general disaster
risk. According to UNDP (2004:9) disaster risk is as a result of failed development.
This study attempted to analyse one of the problem facet as to why social
vulnerability was still on the increase despite increased agricultural rural
developmental projects’ support towards socially vulnerable people at risk of hunger.
1.6 Research objectives
The aim of the study was to investigate why there was still increased social
vulnerability in Monze District despite the many agricultural development projects
that had been implemented to alleviate poverty, increase food security and ultimately
reduce social vulnerability.
1.6.1 Sub-objectives
The sub objectives for the study were:
i. To analyse how agricultural development projects were designed and
implemented to alleviate poverty and contribute towards enhanced community
resilience for people at risk.
ii. To investigate community participation during the design and implementation
of agricultural development projects.
iii. To establish which agricultural developmental were considered beneficial by
the community to enhance community resilience.
iv. To assess and analyse actual community resilience capacity of the people at
risk.
1.6.2 Research questions
This study was guided by the following questions:
i. How were the agricultural development projects designed, that were
implemented in Monze?
ii. Was there a link between designing and implementation of agricultural
development projects with increased or reduced community resilience for
people at risk?
9
iii. Did planners undertake comprehensive disaster risk assessment at pre project
design stage?
iv. What was the role of the community in the designing and implementation of
these agricultural development projects in Monze?
v. How did the community perceive these projects towards enhanced community
resilience?
vi. How did the community define community resilience? Was it compatible with
how the technocrats defined resilience?
1.7 Hypothesis
This study assumed that project contribution towards resilience building was low due
to another assumption that these developmental projects were not well designed nor
implemented, to increase community resilience and reducing poverty at the same time
using the same project resources. A null hypothesis was that projects were well
designed and implemented but the targeted beneficiaries did not adopt the technology
given to address poverty subsequently community resilience (Maddock & Wilson
1994:10).
Low adoption of technology by the targeted community was however possible in
agriculture owing to the nature of the targeted group. Farmers were diverse,
conservative and risk averse in nature. As such, they made very cautious decisions
regarding investment decision. Such decision making mechanisms could influence
farmer adoption rate thus productivity and community resilience enhancement.
The second null hypothesis was that the farmers adopted the technology to help them
increase their community resilience but abandoned that technology sooner when they
did not obtain the benefits imagined due to delayed hazards impacts, lower yields,
high production cost, and lower prices than expected in normal season (Maddock &
Wilson 1994:10).
1.8 Justification of the study
Reviewed literature further indicated that there were no easy answers as to how social
vulnerability could be reduced through external developmental projects and
programmes.  Manyena (2009:270) however suggested that practitioners could still
10
adapt non-emergency developmental projects to enhance resilience building. He
suggested that such projects were to focus on creating more positive project outcomes
to help communities recover and ‘bounce forward’ or adapt to new realities after
disaster. He argued that by creating capacity for communities to ‘bounce back’ into
original level of productivity before disaster, projects created the same conditions that
created vulnerability in the first place. Thus his recommendation were to design and
implement developmental projects whose outcomes were to make communities
‘bounce forward’ from their original state of affairs after disaster impact. This project
implementation approach called for proper designing of developmental projects to
mainstream resilience building activities.
Benson & Twigg (2007:59) were also of the view that non-emergency developmental
projects and programmes were to be adapted to enhance community resilience against
disasters, in disaster prone areas. This call to use developmental projects was
reinforced with the HFA’s call ‘to build safe and resilient communities’. The HFA is
the current global operational framework for disaster risk reduction. The HFA was
agreed upon by governments in Kobe Japan in 2005 to guide the management of
disaster risk reduction (DRR) interventions globally and at community level
(UNISDR 2005).
In response to the HFA, a good number of applied research studies were
commissioned globally by various stakeholders to try to adapt non-emergency
programmes and projects to create disaster resilient communities (DFID). Apparently,
researchers based in the global northern hemisphere were conducting most of these
studies. Their studies were based on hazards mitigation using technological
advancement given their countries advanced levels of economic development that
were technologically dependant.
Hence calls by prevention consortium at global level, for adaptive and participatory
action research to be done in the southern hemisphere as well, to address social
vulnerability and not only hazards. The United Nations Development Programme
(UNDP, 2004:95) also recommended additional research to be done to link disaster
risk reduction to social economic development planning at localised level to
complement their global disaster risk index research. Diriba (2007:12) recommended
11
factoring analysis of farming systems in which the particular community lived when
undertaking research on the rate of disaster recovery.
All the practitioners cited above including the HFA and new Disaster Management
Act number 13 of 2010 for Zambia point in part to the need to undertake further
academic and applied research at local community level in the southern hemisphere.
This will result in adaptation of developmental projects to mitigate future disaster risk
of food insecurity in disaster prone rural parts of the developing countries. This is to
be done among rural communities that are dependent on rain fed agriculture for
survival hence the justification of this study academically.
1.9 Significance of the study
At conceptualisation stage, the researcher assumed that this study would contribute to
the practice of DRR in two ways. Firstly, the study was envisaged to contribute to the
body of knowledge to better understand how agricultural development projects were
designed and implemented to enhance community resilience in Monze. Secondly, it
was envisaged that the findings would be generalised to contribute towards national
debate on how to use agricultural development projects to reduce disaster risk in
Zambia. The envisaged study contributions were in line with Disaster Management
Act number 13 of 2010 of the laws of Zambia and the African strategy for disaster
risk reduction (GRZ, 2010b:82; UNISDR, 2004:11).
1.10 Research methods
Technically the study was a practical action research because the study objectives
were more inclined to addressing a real problem, in the absence of a baseline (Leedy
& Ormrod, 2005:108; Singh & Bajpai, 2010:161). The study was also an ex post facto
or ongoing evaluation (Leedy & Ormrod, 2005:108, 135, 232).
This study used both qualitative and quantitative study design methods being an
evaluative and practical action research. It also used these methods because all the
four philosophical research backgrounds influenced it: post positivism; social
constructivism; advocacy/participatory and; pragmatic (Creswell, 2009:6-10).
The study used content analysis approach to analyse the project design and
monitoring documents. This was done to gain an understanding of how agricultural
12
development projects were designed and implemented by various organisations. The
study also used sample survey method to collect data sets from the community to
understand and analyse community perception towards agricultural development
projects and community resilience enhancement. The study further used focused
group discussions for key informants to validate the sample survey findings
(Mahalaya, 2010:52).
1.10.1 Population and sample
A sample to represent the population in Monze was drawn from two agricultural
camps. One camp had many developmental projects whilst the other had only a few
projects. The camp with many projects was treated as an intervention whilst the other
with fewer projects was treated as a control (Margoluis & Salafsky, 1998:117).
Seventy-four households from these two camps were therefore selected using two-
stage cluster random sampling method.
Sampling was therefore, done in two stages to select the agricultural camps and then
the individual households.
1.10.2 Data collection tools
The study used three types of data collection tools: the semi structured questionnaires;
checklist to guide group discussions and informal interactions; and formal written
request to institutions to access projects documents that were being implemented in
Monze. Unfortunately, no single organisation provided the researcher access to any
project design or monitoring documents to review for the purposes of this study. This
was despite the researcher providing formal introductory letters from the university
and the Disaster Management and Mitigation Unit (DMMU).
The researcher did verbal follow-ups to inquire on how institutions designed and
implemented projects but this strategy did not yield any favourable responses either.
The researcher anticipated to receive this type of unfavourable response from the
planners and projects implementers during data collection and hence contingency
measures were put in place to complete the study based on views of project end users.
Semi-structured questionnaires were used to collect views of the end users regarding
how they perceived project impact on their community resilience. In this way, the
13
study deduced the projects effectiveness and how they were designed and
implemented.
Three research assistants were engaged. Of the three, one was engaged at district level
to help the researcher: follow up with respective agencies to access project
documents; and follow up with agricultural camp extension officers to provide
feedback on prevailing hazards impacts and vulnerability in the district for cluster
sampling purposes. The other two research assistants were engaged to collect data sets
at household level. Prior to commencing field work, the researcher oriented all the
three research assistants that were engaged, in the study objectives, data collection
techniques including ethics and how to avoid bias. All the three spoke the local
language and were able to translate structured question into Tonga for easy
communication.
1.10.3 Data collection procedures
Data collection was done by first consulting with the district agricultural co-
ordinator’s office, field extension officers, the community agricultural developmental
co-ordinating committees and with community village heads. This was done for the
authorities to know what was happening in their communities and why the study was
being conducted. The second stage involved actual administration of the data
collection tools.
1.10.4 Data analysis and interpretation
Data sets were first entered in an electronic database created in access and then
queries generated from there before being transferred into excel for presentation. The
open-ended questions in the sample survey were coded and analysed using the same
process. Data sets collected through the focused group discussions were analysed
manually since the notes taken were not many.
1.11 Ethical considerations
The researcher explained to the participants why the study was being conducted for
academic purposes. This was done before the researcher proceeded to solicit views
from the participants on agricultural development projects implemented in their area
and how these projects enhanced community resilience. Participants were also
informed that this study was neither a baseline study for any new developmental
14
project. Community members were also made aware of their liberty not to answer any
questions if they did not want to. No names of participants were to be revealed and
none were revealed. Confidentiality for all the responses given by the participants was
therefore maintained. Issues of respect, beneficence and justice were also upheld.
1.12 Delimitation
The study was not a social vulnerability or disaster needs assessment for emergency
relief. Neither was it a baseline for any new developmental projects. It was an
academic but applied community resilience study even though it used the sustainable
livelihoods model that mainly focused on social vulnerability assessment.
It is therefore important to note that the study did not compare effectiveness of
agricultural development projects with similar rural or urban social economic
developmental projects because this was not the intention. Again, the study was not
about evaluating agricultural development projects that were deliberately designed to
enhance community resilience and poverty reduction. Rather the study evaluated the
existing and current conventional, non-emergency agricultural development projects
that were designed for poverty and food insecurity alleviation.
Conceptually, and within disaster management studies, the major focus of the study
was the proactive disaster risk management practice before actual disaster outcome.
On the overall, the context of this study was how to use non-emergency project
interventions to alleviate poverty, food insecurity as well as reduce disaster risk at the
same time, with the same project resources.
1.13 Outline of research dissertation
The study comprises six chapters. Each chapter is introduced thematically, discussed,
and concluded based on the theme. Chapter two, three and four is the extended
literature review which is split into three to be more organised. Chapter two is on the
concept of resilience as it relates to sustainable development and disaster
management. Chapter three is on theoretical basis of enhancing community resilience.
Chapter four is on the role of agricultural development projects to enhance
community resilience. Chapter five is on results, findings and discussions. Chapter six
is the overall conclusion of the study and recommendations for future studies.
15
1.14 Conclusion
This chapter provided an overview of the research problem that was studied in Monze
District of Zambia regarding increased social vulnerability. The chapter also provided
an overview of the research methods that were used to address the study problem.
The next chapter explains the concept of community resilience in context of
sustainable development and how community resilience can be enhanced using
developmental interventions.
16
CHAPTER 2
UNDERSTANDING THE CONCEPT OF COMMUNITY RESILIENCE
2.1 Introduction
This chapter discusses the concept of community resilience as it applies to disaster
risk and social vulnerability reduction in context of sustainable development. The
chapter also discusses how community resilience can be enhanced, measured and
assessed in non-emergency developmental projects. The chapter starts by discussing
resilience and vulnerability in general before discussing community resilience.
Community resilience has been defined from three major angles: generic resilience
concept; indicators of a resilient community; and from the social vulnerability
concept.
2.2 Resilience concept
Thywissen (2004:468-469), through her compilation of core terminology of disaster
risk reduction suggests that some scholars, developmental as well as disaster
management practitioners have used the term ‘resilience’ loosely in its generic form
to refer to ‘community resilience’. Whilst this may be correct to some extent
depending on the context, the two terms of resilience and community resilience are
not the same in disaster management. Resilience is a generic term used in many
disciplines such as psychology, engineering, environmental, social sciences including
disaster management to refer to different states of materials and conditions. On the
other hand community resilience is a specific concept used in disaster management to
refer to a process and outcome of a ‘disaster resilient community’
Resilience is a Latin word ‘resilire’ that means “to leap back”, or ability to “resile
from” or “spring back from” a shock (Umetsu, Shinjo, Sakwai, Shimada &
Yoshimura. n.d:8). In engineering and built environment, resilience has been debated
in the quest to understand capability of the built and natural environment to return to
their original stature before hazard impact. In this context, resilience is perceived to
be some form of elastic or shock absorber that prevents systems from breaking down
beyond repair.
17
In economics, the concept of resilience has been used to refer to recovery capacity of
production and service delivery systems against external shocks (Naude, Santos-
Paulino, McGillivray, 2012:51). In sustainable ecological systems (SES), resilience is
often used to refer to ecological systems capacity or adaptive capacity (Folke,
2006:259).
Thematically resilience has four elements. These are social, physical, economic and
environmental elements (Benson, Twigg and Rossetto, 2007:104). Resilience should
therefore, be understood and analysed in the context of these elements or themes by
developmental practitioners. As summarised by Davis, Haghebaert and Peppiatt
(2004:19), an analysis of resilience in terms of these four themes shows that each
theme corresponds to similar type of vulnerability as depicted in (Table 2.1).
By pairing each element of resilience with vulnerability in (Table 2.1) shows, that
resilience is the other side of the corresponding elements of vulnerability. For
example, social resilience can be described as the flip side of social vulnerability.
Table 2.1: Thematic elements of vulnerability versus elements of resilience
Thematic area Element of Vulnerability (examples) Element of Resilience (examples)
Social ■ Occupation of unsafe areas ■ Social assets
■ High-density occupation of sites and ■ Coping mechanisms
buildings ■ Adaptive strategies
■ Lack of mobility ■ Memory of past disasters
■ Low perceptions of risk ■ Good governance
■ Vulnerable occupations ■ Ethical standards
■ Vulnerable groups and individuals ■ Local leadership
■ Corruption ■ Local non-governmental
■ Lack of education organisations
■ Poverty ■ Accountability
■ Lack of vulnerability and capacity ■ Well-developed disaster plans and
analysis preparedness
■ Poor management and leadership
■ Lack of disaster planning and
preparedness
Physical ■ Buildings at risk ■ Physical assets
■ Unsafe infrastructure ■ Resilient buildings and
■ Unsafe critical facilities infrastructure that cope
■ Rapid urbanization with and resist extreme hazard forces
Economic ■ Mono-crop agriculture ■ Economic assets
■ Non-diversified economy ■ Secure livelihoods
■ Subsistence economies ■ Financial reserves
■ Indebtedness ■ Diversified agriculture and
■ Relief/welfare dependency economy
Environmental ■ Deforestation ■ Natural environmental assets
■ Pollution of ground, water and air ■ Creation of natural barriers to
18
■ Destruction of natural storm barriers storm action (e.g. coral reefs)
(e.g. mangroves) ■ Natural environmental recovery
■ Global climate change processes (e.g., forests recovering
from fires)
■ Biodiversity
■ Responsible natural resource
management
(Source: Davis, Haghebaert and Peppiatt (2004:19)
2.3 Current debate on community resilience
According to UNISDR (2005) and the social labelling theory, practitioners and
scholars have portrayed people at risk as being passive, and not having capacity to
undertake any intentional action to minimise their own risk. This has been due to over
emphasising on the analysis of vulnerability as way to understand causal effects of
disaster risk in the last three decades. Yet all people have inherent capacity to respond
to hazard impacts in their small way. Only that this capacity has been ignored during
times of emergency response and less emphasised during analysis of disaster risk
(Wisner, Gaillard & Kelman, 2012:4). The process of trying to have a fresh look at
vulnerability has now lead scholars to consider a new concept called community
resilience as a possible way to address social vulnerability and reduce disaster risk
(UNISDR, 2005:7; Chen & Wang, 2010:1; Cutter, Burton & Emrich, 2010:1; Oliver-
Smith, Cutter, Warner, Corendea & Yuzva, 2012:23). However community resilience
has many elements in its definition and these are clarified in this paragraph up to
paragraph 2.5.
Community resilience is a compound word derived from two terms: community and
resilience. The term community refers to groups of people that are socially and
geographically bound together. Such people live in the same vicinity and have
common interests. These people also share common features (Hattingh, 2000:105). A
disaster outcome is therefore said to manifest when such a group of people is affected
by hazards and in turn fail to cope with it using their own resources and require
external help to survive beyond its impact (Delica-Wilson & Gaillard, 2012:712).
Hence the concern to study the community and disaster outcomes.
According to Wisner et al (2012:4) a further debate on the concept of community
resilience among practitioners has evoked practitioner’s perceptions of local
dimensions of development and disaster risk reduction. The concept of community
19
resilience therefore reminds the practitioners that local people or ordinary people are
capable of finding collective solutions to their own problems. It is therefore
imperative for practitioners to recognise this capacity in any developmental
interventions be it relief or non-emergency.
A further implication for debating the concept of community resilience has further led
practitioners to recognise that increasing community participation in development and
DRR would ultimately lead to people’s empowerment (Delica-Wilson & Gaillard,
2012:713). One can therefore assume that local people should understand their own
needs better and would be the first responders when hazards affect them, hence,
further justification as to why practitioners should focus on the community as a unit
for any DRR intervention.
Recognising that communities are the first responders has further lead to the
development of another concept of community based disaster risk reduction
(CBDRR). This concept emerged in the 1970s among developmental practitioners but
was later popularised in Philippines in the 1980s through a national wide network of
NGOs called Citizens Disaster Response Network (ibid). CBDRR relies on three
crucial principles: people’s participation and empowerment, development-oriented
activities and a multi-stakeholder approach (ibid).
Both concepts of community resilience and community based disaster risk reduction
are still new in disaster management but the practice of building resilient communities
is old (Tobin 2005 as cited by Manyena 2009:142). This is evident from past disaster
management and developmental literature were community resilience has been
referred to as “secure livelihoods” by Blaikie, Cannon, Davis & Wisner
(1994:9),“sustainable livelihoods” by Chambers & Conway (1992:7), as “capacity”
by Anderson and Woodrow (1998:10), as inherent capacity by the Centre for
Community Enterprise (2000:9); “manageability or coping ability or strategies” by
Kiunsi, Meshack, Uhinga, Mayunga, Mulenge, Kabali, Sigalla, & Bilia (2006:229)
and “community strength” by Davis (2004:133).
2.3.1 Community resilience as a metaphor
Community resilience is also used as a metaphor in disaster risk management to refer
to communities that are perceived to be resilient. In this way community resilience is
20
both a process and an outcome. However, in reality, no particular community is
hundred percent resilient against disaster risk (Norris, Stevens, Pfefferbaum, Wyche
& Pfefferbaum, 2008:127; Benson, Twigg & Rossetto, 2007:4).
Even communities that are perceived to be resilient to disaster risk tend to have some
elements of resilience capacity that is not fully developed. These communities also
have members that are still susceptible to various forms of insecurity including food
and hunger in the case of people in rural parts of developing countries, just as an
example. The degree of resilience among these same people in perceived resilient
communities also differs from one person to another depending on level of capital,
education, savings, risk awareness, risk perception, reaction time, social networks,
power influence and accessibility to external resources (Hilhost & Bankoff, 2004:1;
Siembieda, 2010:180).
Ultimately and in this discourse community resilience is defined as resilient
communities that have inherent capacity to anticipate, prepare, respond, recover and
bounce forward from disaster outcome when hazard affects their livelihoods just like
in resilient households (Birkmann 2006:468). These resilient communities should also
have good preparedness and response plans (Poland, 2010:194). Further more, these
resilient communities should also have leaders that take deliberate action to enhance
the personal and collective capacity of their members and local institutions to respond
to and influence the course of social and economic change (Centre for Community
Enterprise, 2000:9). All this inherent capacity further involves indigenous and other
acquired knowledge on early warning indicators to predict potential impending
hazard.
The capacity to respond is in the form of coping ability and is very much dependent
on how the community is able to interpret the early warning indicators and their level
of preparedness. This capacity should however also be coupled with community
assets such as cereal banks, road network and access to developed markets. These
assets can be categorised further as being in form of: human capital, natural capital,
physical capital, financial capital and social capital (Sanderson, 2012:708). Sanderson
(2009:57) has included political capital to these five assets to address issues of
governance. Political capital is therefore crucial for day-to-day survival as well as
21
recovery and is dependent on how it is managed by people at risk (Sanderson
2012:708).
2.3.2 Social vulnerability and community resilience capacity
Social vulnerability which is the flip side of social resilience or community resilience
capacity is defined as ‘lack of human capacity to anticipate, cope with, resist and
recover from impact of natural hazard’ (Blaikie, Cannon, Davis & Wisner, 1994:9;
Wisner et al, 2004:11; Adger, 2000:348; Naude, Santos-Paulimo & McGillivray,
2012:48; Wisner et al 2012:29).
Social vulnerability lacks a common definition as well and the term is used differently
by different scholars (Birkmann, 2006:13). According to Cannon, Twigg & Rowell
(2003:5) social vulnerability is also linked to the level of wellbeing of individuals,
communities and society. It includes aspects related to levels of literacy and
education, the existence of peace and security, access to basic human rights, systems
of good governance, social equity, positive traditional values, customs, ideological
beliefs and overall collective organizational systems. An understanding of community
resilience from this angle clearly shows that community resilience is more
encompassing as well, just like social vulnerability even though social vulnerability is
the negative side of community resilience.
2.3.3 Community resilience as more than coping capacity
Some scholars such as Buckle (1998) have referred to community resilience as human
capacity to cope and recover from disaster outcomes. This capacity is in the form of
social, physical, economic, physiological, political and natural. However, Manyena
(2006:438) has argued that community resilience is more than coping capacity. He
argues that community resilience should be seen as the ‘shield’, ‘shock absorber’, or
buffer that moderates the outcome of disaster, to ensure benign or small-scale
negative consequences. His view is that community resilience should also be
perceived as a process that modifies human survival behaviour thus adaptation or
adaptive capacity. In this context, community resilience is perceived as long-term
social, economic, political and environmental systems that sustain human life beyond
impact of hazard. Based on this argument, Manyena (2009:261) introduces a concept
22
of ‘bouncing forward’. He uses this concept of bouncing forward to explain how
community resilience should be more than coping capacity.
Twigg (2007:6) has a similar view to Manyena’s. He also argues that community
resilience is different from coping capacity. Twigg’s (2007) view is that community
resilience encompasses more than coping capacity behaviour, or strategies, or
measures for risk reduction and management that are normally understood as
‘capacities’. Despite his argument to the contrary, Twigg (2007) recognises that it is
difficult to differentiate between the concepts of capacity, coping capacity and
community resilience in an applied practical sense. He thus concludes that the three
concepts of capacity, coping capacity and community resilience are the same in
every-day language and practical use. They are used as such in this study.
2.3.4 Disaster risk, outcome and community resilience
In the past, disaster risk and disaster outcomes commonly referred to as ‘disasters’ or
‘natural disasters’ were understood to be natural acts of God (Mileti, 1999: 211).
With time, scholars have come to understand that disaster risk and disaster outcomes
are not just hazards or acts of God (van Ginkel, 2005:6). Disasters occur when
hazards affect the vulnerable elements of human security which are physical,
economical, social and political (Wisner et al, 2004:50).
Disaster outcomes are now known to affect people differently due to people’s varying
degrees of social vulnerability, risk governance capacity knowhow and access to
resources. Those with more access to resources, political influence, living in less
environmentally hazardous places and more organised suffer less from the same
consequences of hazards. To the contrary, those with less resources and access to
productive resources, compounded with inadequate access to political influence or
political power and living in more environmentally, degraded areas are more
vulnerable to hazard impacts. As such, disasters have come to be well understood to
be impacts of hazards on vulnerable elements of people's welfare (Wisner et al,
2004:50).
On the other hand, disaster risks are potential disaster outcomes (UNISDR 2009:09).
Disaster risks (R) can be expressed mathematically as a function of hazard (H) and
vulnerability (V), as R = H x V (Davis, 2004:131). However, this was also the earlier
23
conceptual understanding of disaster manifestation as being a mere interaction of
hazard with vulnerability. There is further understanding now that disaster risk is not
just mere interaction of hazard with vulnerability but is influenced by community
resilience capacity (CR) as well, since community resilience is the flip side of social
vulnerability. Thus disaster risk is further understood to be = H x V/CR.
With this realisation, it implies that communities that have high community resilience
will inversely tend to have low vulnerability and vice versa. Logically this argument
suggests that efforts aimed at increasing resilience will result into efforts to reduce
vulnerability on a more practical side. Disaster risk and outcomes are therefore linked
to high vulnerability and low community resilience through a causal-effect
relationship.
Jordaan (2006) and Wisner, Gaillard & Kelman (2012:24) have argued further that
disaster risks and outcomes are further influenced by external management capacity
(M) of the community to manage hazards. This external hazard management capacity
in form of external support is usually derived from the government or other
institutions that help communities mitigate hazards. This support can be technological
advancement, policy instruments and other forms of governmental interventions.
Combining all these factors, disaster risk is now clearly understood as a function of
hazard, social vulnerability, community resilience and hazard community managerial
capabilities. Thus mathematically this relationship can ultimately be represented as
R = (V/C) x (H/M). Wisner (2012:24) presents this relationship as being
R = H x [(V/C) – M].
What is important in all these relationships between hazards, social vulnerability,
community resilience and external capacity to manage hazards and ultimately disaster
risk is the recognition that, disaster risk can be influenced by varying degrees of
community resilience holding other factors constant.
Conceptually, understanding these linkages helps practitioners appreciate that, when
community resilience is increased, social vulnerability is likely to be reduced.
Therefore, to reduce social vulnerability one has to increase community resilience
capacity and not the other way round. Increasing community resilience is a practical
24
way of reducing social vulnerability. Non-emergency developmental interventions
being implemented in a given area targeting people at risk should therefore focus on
activities that will enhance community capacity to anticipate, prepare and recover
well before the hazard affects vulnerable communities.
The idea behind this pre-disaster risk management is to build on inherent community
capacity to minimise potential hazard impact on people’s vulnerable livelihoods. As
such, interventions should also address livelihoods.
2.3.5 Community resilience in disaster management continuum
The disaster management continuum involves two major phases: the pre-disaster risk
reduction or disaster risk management phase; and the post disaster or actual response
phase.
The pre-disaster risk reduction phase, further involves three major activities:
prevention; mitigation and preparedness stages. The South African Department of
Provincial and Local Government (2008:95) refer to these three activities as ‘disaster
risk reduction measures’. In their view, these measures are the most crucial activities
to be undertaken to manage risk or to enhance community resilience.
The post disaster phase, also involves three major activities: the response or relief
stage; recovery; and rehabilitation stages. Community resilience building is more
inclined to the pre-disaster risk reduction phase of prevention, mitigation and
preparedness. However, since community resilience is about building or enhancing
community capacity to anticipate, prepare and manage risk before and after, it
therefore means that community resilience as a process, is also involved in response,
recovery and rehabilitation phases of the disaster management continuum. Thus,
community resilience is part of the proactive, holistic approach to managing disaster
risk and disaster outcomes. This is important for practitioners to note and is a
reminder that resilience is not just an outcome but also a process of achieving disaster
resilient communities.
2.3.6 Community resilience as more than food security
Food insecurity is related to community resilience through the social vulnerability
concept and coping capacity. Andrews & Flores (2009:192) refer to social
25
vulnerability that cause food insecurity disaster outcome, as the full range of factors
that place people at risk of becoming food insecure, including those factors that affect
their ability to cope. Coping mechanisms are explicitly recognised as ‘resilience’ in
describing the relationship between coping mechanisms and food security in this
context by Naude, Santos-Paulino & McGillivray (2009:2). Resilience as used in this
context by Naude et al (2009:2) is not the same as community resilience used in this
study. Resilience in Naude’s context is a sub set of the community resilience used in
this study. Naude’s implication is that practitioners have to enhance coping capacity
or ‘resilience’ to address food insecurity, but this discourse has already shown that
coping capacity is not the same as community resilience even though in practice these
terms are used interchangeably. As such a mere enhancement of coping capacity does
not translate into enhancing community resilience. It is just part of the process.
Based on the argument in this discourse and adopted from Twigg (2007:6), food
security can be viewed as a subset of community resilience. Thus enhancing food
security is part of enhancing community resilience. As a subset, practitioners have to
address food insecurity first to enhance community resilience and not the other way.
Food security is therefore considered to be different from community resilience in this
discourse because the two are not the same, technically.
2.3.7 Community resilience as more than poverty alleviation
Poverty is now recognised as more than a lack of income or consumption; it includes
deprivation in health, education, security, empowerment and a lack of dignity (FAO,
2012:82). The poor often lack access, or are excluded from income generating
opportunities, such as gainful employment and productive resources, including land,
forests, the seas, water, seeds, technology and credit, while poor governance often
entrenches poverty.
Poverty is recognised to be a major contributing and predisposing factor to social
vulnerability and thus to disaster risk (Lewis, 1999:24). Thus poor people are unable
to afford DRR measures due to their poverty levels (Wisner et al, 2012:174).
Being an inverse of social vulnerability, community resilience can be considered to be
affected directly by the high levels of poverty. Developmental practitioners should
therefore address poverty in areas where poverty and social vulnerability are high in
26
order to enhance community resilience (Cannon et al, 2003: 4; Naude, Santos-Paulino
and McGillivray, 2012:1).
2.3.8 Community resilience in urban and rural areas
Principles for increasing community resilience in urban and rural areas in both
developing and developed countries are similar. What is different are the specific
interventions that are employed. In urban settings, communities tend to depend quite
heavily on cash income for their sustenance and as such, employment opportunities
play a very important role in their livelihoods, enhancing community resilience and
reducing social vulnerability (Sanderson, 2009:17). In rural areas, agricultural
production plays a very crucial role in sustaining livelihoods. The reason for
analysing agricultural rural development projects in this study is the rural based nature
of the problem being studied.
2.4 Achieving community resilience through sustainable development &
livelihoods - access to resources
According to Wilson (2012:1218), DRR is slowly becoming a ‘buzz’ word in the
disaster, environmental and developmental studies and might replace sustainable
developmental concept when the DRR concept is fully linked to environmental and
ecological resilience. DRR is however a new concept as well just like community
resilience.
In broad terms, disaster risk reduction (DRR) refers to the practice of reducing
disaster risks: through systematic efforts to analyse and manage the causal factors of
disasters; including reduced exposure to hazards, lessened vulnerability of people
and property, wise management of land and the environment and improved
preparedness for adverse events (UNISDR 2009:11).
Twigg (2007:6) simply refers to DRR as being the broad development and application
of policies, strategies and practices to minimise vulnerabilities and disaster risks
throughout society. In both definitions of DRR by UNISDR (2009:11) and Twigg
(2007:6), the focus is on pro-activeness, and the need for practitioners and
communities to undertake developmental interventions that will deliberately build on
inherent community resilience capacity for people living in disaster prone areas. This
27
capacity should be for communities to anticipate risk and manage disaster risk in a
timely manner with minimum external support.
In line with the definition of community resilience used in this discourse, achieving
enhanced levels of community resilience using developmental interventions is
dependent on the following seven pre-conditions:
i. Peoples access to resources (Jabeen, Johnson & Allen 2010: 415-31).
Developmental projects should address discrimination in marginalised
people’s access to accessing resources. Peacock & Prater (2012:692) have
further argued that the problem is not just lack of access to assets and
resources but they are deliberately excluded through political, cultural and
other structures and it is these that should be addressed by developmental
interventions to enhance community resilience.
ii. Past exposure to the hazards were they stay thus physical exposure (Mishra &
Suar, 2007: 143-159).
iii. Community preparedness capacity (Cutter, Barnes, Berry, Burton, Evans &
Tate 2008:598-606).
iv. How the community is integrated socially (Kadushin, 2004:75-90).
v. Stable and productive livelihood systems that is a vital precondition for DRR
(Wisner et al, 2012:597; Sanderson, 2012:697).
vi. Social protection measures that move beyond traditional approaches of
addressing poverty risk to social protection measures that address disaster risk
as well. These measures should be designed in such a way that they recognise
the difference between poverty and vulnerability. Peacock & Prater
(2012:692) has suggested incorporating two recent movements in social
protection. These are what are referred to as Social Risk Management (SRM)
and Transformative Social Protection (TSP) frameworks (Peacock & Prater,
2012:692).
The SRM framework for enhancing social protection proposes the use of non-
formal, market based strategies to complement public sector, social protection
strategies for addressing risk reduction and mitigation and then addressing the
post-disaster events thus addressing the bouncing forward concept. Non-
28
formal interventions strategies are proposed to increase the voice of the poor
and the vulnerable through the development of standards and entitlements
that directly address human rights.
Transformative measures address more directly structural features associated
with marginalisation and include promoting of minority rights, collective
worker actions, anti-discriminating campaigns and various social funds to
promote change (Peacock & Prater, 2012:693).
vii. Projects that recognise and enhance participatory governance (Peacock &
Prater, 2012: 693).
2.5 Enhancing community resilience through developmental projects’
intervention
According to UNISDR (2005:1), enhancing community resilience can be done by
deliberately mainstreaming DRR activities in social economic developmental
projects. This process further involves taking proactive measures to ensure that DRR
activities are assessed, analysed and incorporated in developmental projects’ plans
alongside other developmental needs.
2.6 Other concepts used in this study
2.6.1 Disaster mitigation
This concept refers to the lessening or limitation of the adverse impacts of hazards
and related disasters. The adverse impacts of hazards cannot be prevented fully, but
their scale or severity can be substantially lessened by various strategies and actions.
Mitigation measures encompass engineering techniques and hazard-resistant
construction as well as improved environmental policies and public awareness. It
should be noted that in climate change policy, “mitigation” is defined differently by
environmental management practitioners, being the term used for the reduction of
greenhouse gas emissions that are the source of climate change (UNISDR, 2009:8).
2.6.2 Disaster risk reduction strategies
These are deliberate activities designed to build peoples physical, economic, social,
environmental, political and psychological capacity & preparedness to manage these
pre-disastrous events and actual disastrous events using their own resources.
29
2.6.3 Disaster risk management
Disaster risk management (DRM) is an extension of the more general term “risk
management” to address the specific issue of disaster risks. Disaster risk management
as a concept aims to avoid, lessen or transfer the adverse effects of hazards through
activities and measures for prevention, mitigation and preparedness (UNISDR, 2009:
4).
Abarquez & Murshed (2003:29) have properly contextualised DRM as a concept
focusing on reducing threats and potential losses and not on managing disasters and
their consequences. According to them DRM contributes to UNISDR’s aim of
developing a “culture of safety” and creating “disaster resilient communities”. Thus,
DRM is a systematic process of using administrative directives, organizations, and
operational skills and capacities to implement strategies, policies and improved
coping capacities in order to lessen the adverse impacts of hazards and the possibility
of disaster.
2.6.4 Disaster preparedness planning
Disaster preparedness refers to measures taken to prepare for and reduce the effects of
disasters, prior to and during their occurrence. That is, to predict and—where
possible—prevent them, mitigate their impact on vulnerable populations, and respond
to and effectively cope with their consequences. Disaster preparedness is best viewed
from a broad perspective and is more appropriately conceived of as a goal, rather than
as a specialised programme or stage that immediately precedes disaster response
(IFRC, 2000:6).
2.6.5 Non-emergency agricultural development projects
In this study, agricultural development projects are social economic plans and
activities designed and implemented by practitioners to improve livelihoods, nutrition,
income and food security of the communities using agricultural related activities such
as crop farming, livestock rearing and aquaculture activities. It should be noted that
the emphasis in the definition is not on improving agricultural activities but rather
livelihoods through agricultural activities. Agricultural development projects being
discussed in this study are more of public social safety nets projects that focus on
improving welfare of the vulnerable communities and not single big agricultural
30
investments projects such as coffee plantations that focus on growing coffee for profit
for a few individuals who own initial financial assets invested in such projects. Whilst
such big investment projects provide employment to many people in form of
labourers, these projects can easily take care of their employees if these employees are
accommodated on the farm during times of adversity.
2.6.6 Project design or formulation
Project design refers to the whole process of identifying social economic problems
and actual identification of sustainable activities to be financed and implemented
internally or externally to address these identified social economic problems in the
community over specific period. Project design process can be participatory in nature
or can be done exclusively by a team of experts without involving community.
However, projects in disaster prone areas should involve the community at designing
and implementation level and should be participatory in nature (Twigg, 2007:61).
2.6.7 Project implementation
Project implementation is the operational string of the activities identified for
implementation to address social economic problems to achieve the agreed outcomes.
2.6.8 Project impact
Project impacts are both the short and long-term changes brought about by the
implementation of the project activities over a specified period using specific
resources.
2.6.9 Disaster prone area
These are geographically bound physical areas that are exposed and prone to tangible
hazards that have potential to cause serious harm to the inhabitants of that community.
2.6.10 Village
Village is interchangeably referred to as a community. However, a village is a rural
based homestead that comprises one or more households of usually the same
relationship, kin or extended family or clan.
2.6.11 Vulnerability to food insecurity
Is both potential and actual conditions of chronic and acute hunger situations
prevailing at community level due to reduced long-term coping capacity and reduced
31
community resilience capacity to manage negative future impacts of hazard, in case
these hazards occur.
2.7 Conclusion
This chapter has explained the disaster risk management concepts used in this study
and how they are interconnected with community resilience, sustainable development
and sustainable livelihoods. It is clear from the discussion in the chapter that
community resilience as a concept is interlinked with almost all the other concepts in
disaster management and sustainable development. Community resilience is also an
important concept for developmental and disaster management practitioners to focus
on to proactively mitigate disaster risk using non-emergency developmental
interventions.
32
CHAPTER 3
THEORETICAL BASIS FOR ENHANCING COMMUNITY RESILIENCE
USING DEVELOPMENTAL PROJECTS
3.1 Introduction
The previous chapter included a discussion of the concept of community resilience in
context of DRR and sustainable development. This chapter focuses on the theoretical
basis of how community resilience activities are analysed, planned and mainstreamed
in rural based community developmental projects.
As already alluded to in chapter two, community resilience can be enhanced directly
by enhancing sustainable livelihoods assets and community risk governance capacity.
Enhancing these capacities can be done by developmental projects that focus
exclusively on DRR or through projects that focus on poverty and food insecurity
alleviation but mainstream DRR.
Enhancing community resilience using non-emergency projects is tricky because it
involves planning two themes. The first theme is planning of conventional social
economic developmental project activities. The second is planning DRR activities that
should be mainstreamed in the non-emergency project activities. Since the orientation
of this study is on how to use normal rural developmental projects to enhance
community resilience, implies that developmental practitioners should plan non-
emergency developmental projects in a conventional way and then incorporate DRR
in them. This process involves mainstreaming DRR in conventionally designed social
economic developmental projects. Mainstreaming concept is fully discussed in
paragraph 3.3.
3.2 Framework for planning conventional developmental projects
According to Benson et al (2007:58), the project planning and management cycle is
the most popular framework used by practitioners to plan non-emergency
developmental projects. Practitioners therefore use this same management framework
to incorporate activities to enhance community resilience, into non-emergency
projects.
33
The project planning and management framework has five to nine generic stages.
They are summed up into seven stages for the purpose of this discourse. Thus: (i) the
pre-design stage; (ii) desk analysis of risk; (iii) pre-design field assessment of both
risk and other parameters; (iv) actual project design; (v) project appraisal; (vi)
implementation; (vii) monitoring and evaluation (adapted from Baum & Tolbert 1985;
NEMA, 2008:159; ADPC, 2010:168; Benson et al 2007:58).
1. pre-design
desk analysis
of risk
2. pre-design
7. Monitoring field
& evaluation assessment of
risk
6. project 3. project
implementation design
5. project 4. project
financing appraisal
Figure 3.1: Project planning and management cycle for mainstreaming DRR
(Source: Adapted from Baum & Tolbert 1985; NEMA, 2008:159; ADPC, 2010:168; Benson et al
2007:58).
3.2.1 Strength of the project planning and management cycle
It is a flexible model and can be adapted for many planning and management
scenarios. However, it is not a panacea to good project planning (Hoare 1988:3).
3.2.2 Weakness for the project planning cycle & way forward
Hoare (1988:3) considers the traditional project planning and management cycle to be
a top-down approach. He further considers the cycle to be used to plan projects based
on planner’s assumptions and not actual field data nor views of the people affected.
Implicitly he suggests that the project management cycle in its traditional form should
be adapted to incorporate views of the targeted population.
34
According to Abarquez & Murshed (2004:12) top-down planning approaches fail to
address specific local needs of vulnerable communities, ignore the potential of local
resources and capacities, and may in some cases even increase peoples’ vulnerability.
Hence, broad consensus reached by disaster management practitioners is for adopting
of participatory planning approaches to plan developmental projects to enhance
community resilience. Participatory planning should therefore be used in
developmental projects being implemented in Monze for these projects to be
considered well planned.
3.3 Mainstreaming disaster risk reduction in the project management
cycle
On the other hand, mainstreaming DRR in non-emergency projects is considered the
most common strategy for enhancing community resilience using developmental
projects (Twigg, 2004:26 UNISDR 2005:12; Benson et al, 2007:5)
Mainstreaming is a process to fully incorporate disaster risk reduction (DRR) into
relief, development policy and practice (LaTrobe & Davis, 2004:16). As such
mainstreaming should be done at all stages of developmental planning and
implementation thus throughout the project planning and management cycle (Benson
et al, 2007:11). Mainstreaming DRR should also lead to the adoption of measures
required to reduce vulnerability, treating risk as an integral part of the developmental
process rather than an end in itself (Benson, 2012:664).
Mainstreaming DRR activities in developmental projects therefore involve both
analysis of how potential hazard-events can affect performance of policies,
programmes and projects on one hand. Mainstreaming further involves analysis of the
impact of those policies, programmes and projects on community resilience to a given
hazard (Benson 2012:664).
Benson (2012:664) however, cautions that mainstreaming DRR in developmental
projects should be properly done to avoid worsening social vulnerability. Practitioners
should therefore ensure that they develop a balanced solution to achieve both
enhanced community resilience and other developmental goals when they mainstream
community resilience activities into conventional developmental projects. Thus,
practitioners should also ensure they address the underlying root causes of the
35
problems to build resilience through DRR mainstreaming. In short, they should not
ignore to address the root causes that might seem not to be directly related to the
disaster risk.
With increased conceptual knowledge in DRR there should be no reason why a win-
win solution should not be found seven years after the HFA enactment in 2005. As a
strategy to reduce disaster risk and losses, the HFA formalised the need for
practitioners, governments, NGOs, and other stakeholders to mainstream DRR into
ongoing emergency and non-emergency developmental projects (UNISDR, 2005:10).
3.3.1 Analysis of risk as part of the mainstreaming process
Disaster risk assessment is the first step undertaken by practitioners prior to designing
non-emergency projects. It is also considered the first step in planning an effective
disaster risk reduction programme (Republic of South Africa, Department of
Provincial and Local Government, 2008:53; Twigg, 2004:25; Ramamasy & Baas,
2007:26). It involves analysis of hazards and vulnerabilities. Analysis of risk is done
in two phases: desk analysis; and actual field analysis (Ramamasy & Baas, 2007:26).
3.3.1.1 Desk analysis of risk
Practitioners to acquaint themselves with the area they intend to operate do a desk
analysis of risk (Abarquez & Murshed, 2004:54).
There are many sources of information for desk study. These sources include but not
limited to national and district level disaster risk and preparedness plans,
consolidated district developmental plans, situational analysis reports compiled by
local authorities, specific community developmental plans compiled by civil society
groups (CSW). Where risk is not documented, the problem could be due to lack of
capacity at local government level to appreciate the need for incorporating such type
of information in their situational or developmental plans, and as an enabler such
capacity should be built. The same developmental practitioners / specialist in a given
organisation attempting to intervene in a given area might not necessarily do this
(Ibid).
At this stage, the capacity vulnerability analysis (CVA) model can be used to organise
secondary data into useable format to understand vulnerabilities and capacities. NGOs
36
and other stakeholders to plan and evaluate developmental projects also use the CVA
model (Twigg 2004:34). The CVA is a practical and diagnostic tool of vulnerability
and capacity but does not show how these capacities are impacted upon by hazards to
translate into disaster risk (Twigg, 2001:2).
Table 3.1: Summary of indicators for desk analysis of risk using the CVA framework
Existi How Why
ng capacity capacity was Poss
Component CVA Elements to assess inher can be used not used ible
of resilience Themes & analyse ent during during last inter
capac times of hazard vent
ity adversity impact ion
Capacity to social / Knowledge levels of
anticipate organization hazards
risk al Early warningsystems in place
Community
cohesion
Existence of
Physical / preparedness action
Material plan
Preparedness Economic / Human assets
assets Financial Natural assets
Environmen
tal / Natural Physical assets
Financial assets
Social assets
Political Assets
Volunteerism
Access to markets
Access to
information
Knowledge of
coping mechanisms
social / Social networksResponse organisation Social safety netscapacity al Use of reserves
Sale of assets
Existence of search
and rescue team
Existence of a
response
coordinating
committee
Reserves in kind or
cash
Recovery Insurance in kind
capacity & Access to external
capacity to All CVA assistance
bounce Themes Access to micro
forward financingAccess to markets
to sale liquidate
other assets
(Source: Author; Anderson & Woodrow 1998:12)
37
3.3.1.2 Field assessment of risk
Field assessment of risk is similar to desk analysis but involves a combination of both.
The assessment of risk at this stage is based on community perception and actual data
sets collected from people at risk. According to Benson & Twigg (2007:131) disaster
risk assessment must lead to a corresponding risk management strategy in the project
plan.
3.3.2 Frameworks used for detailed analysis of risk at pre-project design stage
Many models exist that can be used to assess and analyse disaster risk before or
during the project design process. Some of the most prominent models used are
Pressure and Release (PAR) model and its accompanied Access model, the DFID
Sustainable Livelihoods model (SL), Bogardi / Birkmann & Cardona (BBC)
conceptual framework and Turner’s vulnerability framework (Birkmann, 2006: 20-
35). However, all of these frameworks are designed to measure and analyse
vulnerability and not resilience directly. Being an inverse of social vulnerability,
community resilience can also be analysed by these same models even though there is
need to modify or adapt the models to analyse community resilience.
For instance, the SL model is reported to have been modified and adapted about
fifteen times (Hussen, 2002:13). Sanderson (2009:47-52) for example has blended
three similar models of sustainable livelihoods by CARE, Oxfam GB and UNDP to
come up with what he refers to as a ‘reconceptualised livelihood approach for
assessing resilience in urban areas’. As already indicated, livelihood assets have been
recognised to be crucial in enhancing community resilience for both urban and rural
based communities (Sanderson, 2009:55; Sanderson, 2012:697).
For rural based communities, that are dependent on agriculture for their livelihoods,
these assets are the basis for own food production and other income generation for
day-to-day survival, response, recovery as well as bouncing forward during times of
adversity (Ramamasy & Baas, 2007:35). Therefore, enhanced access to these
livelihood assets is very critical for these people to survive in normal and hazard
prone growing seasons.
Given this background, the sustainable livelihoods (SL) model provides a good
framework for undertaking comprehensive disaster risk assessment.
38
3.3.3 Sustainable livelihoods model
SL model derives its name from the definition used by Chambers & Conway (1992:7)
to describe livelihoods that were considered sustainable. To them livelihoods were
considered sustainable when they could cope with, recover from stresses and shocks.
They further described livelihoods as comprising the capabilities, assets including
both material and social resources and activities required for a means of living. Key
elements of this framework are livelihoods assets already described in section 2.3.1.
These are: (i) human, (ii) natural (iii) physical, (iv) financial, as well as (v) social
assets, and now (vi) political assets (Sanderson, 2012:708).
The SL model was developed to widen practitioners’ analytical perspective from food
security to livelihoods. This was in view to the existing food surpluses at national
level that did not translate into food security at household level like the current case of
Monze (FAO, n.d. 151).
The original SL model as developed by DFID in 1999 is depicted below.
Figure 3.2: DFID Sustainable livelihoods model
(Source: DFID, 1999:1)
39
The SL provides an improved understanding of how poor people at risk access
productive resources, and how they utilise them to enhance their survival capacities
during normal seasons and in times of adversity. The model analyses how all
livelihood process are affected by hazards and how these assets act as buffer systems
against risk. In this way, scholars have suggested that livelihoods assets have two
roles: to assist household produce wealth for day to day survival and; also provide a
safety net for the household during times of adversity (FAO, n.d. 151).
The SL model is therefore handy when undertaking risk assessment when
vulnerability is influenced by poverty (Sanderson 2012:697). It is also a model that
seeks to combine disaster and developmental assessment methodologies in one, to
understand livelihoods, their impact upon mitigation and their susceptibility against
hazard impact (Sanderson 2009:19). It is a model that developmental practitioners
have also used to plan new development activities (Haidar, 2009:5).
Analysis of resilience in the SL model starts with the analysis of people and their risk
regarding access to assets. It further describes how access is influenced with external
factors to result into desirable outcomes. Twigg (2001:9) has however cautioned not
to down play the importance of natural hazard analysis by concentrating on the
analysis of assets that are people centred.
3.3.3.1 Human assets
Human assets are crucial for resilience enhancement. They also influence how other
assets are built. Human assets are skills, technical and interpersonal, knowledge and
ability, employability and earning power, good health and leadership (DFID, 1999: 9).
3.3.3.2 Natural assets
Natural assets have wide variations and include tangible natural assets that are used
directly for production such as trees, communal grazing lands, wetlands, arable land
for cultivation, and habitation. Natural assets also include natural water bodies such as
rivers for human and livestock survival. Intangible goods are the atmosphere and
biodiversity. Natural assets provide the natural basis for production. Their
unsustainable use results in degraded environment that has a further direct link to
creating conditions of vulnerability. These assets should therefore be assessed at pre-
40
design stage to be nurtured during project implementation. Livelihoods are derived
from this natural resource (DFID, 1999:11).
3.3.3.3 Physical assets
Physical assets are similar to natural assets. They include basic communal
infrastructure like Dip tanks in the case of Monze District, storage sheds, roads,
community schools, bridges, communal boreholes, communal wells, public
communication infrastructure (DFID, 1999:13).  These assets have been recognised in
the model as being crucial to enhance productivity that is further crucial to enhance
community resilience.
3.3.3.4 Financial assets
Financial assets refer to the availability of cash or its equivalent that enables people to
adopt different livelihoods strategies (DFID, 1999:15). The two major sources of
financial assets are available stock and regular inflows of money in form of income
through sales of seasonal crop produce, livestock off takes, remittances. This is
equally an important asset because it can easily be converted into other forms of
assets. Financial assets help the community to meet other cash obligations and can be
a good source of reserves for bouncing forward, given its liquid nature.
3.3.3.5 Social assets
Social assets are social resources upon which people draw in pursuit of their
livelihood objectives (DFID, 1999:9). These resources include developed social
networks, and connectedness, access to wider institutions, community membership in
more formalised social groups, which often entails adherence to mutually agreed or
commonly accepted rules, norms, and sanctions, and relationships of trust, reciprocity
and exchange. Social assets further include social support networks such as family
support, community cohesion, mobilisation, political participation (Wisner et al,
2004:117). Social assets are therefore crucial at enhancing community resilience.
Social assets in form of social networks further help harness and galvanise the
community to anticipate, prepare, respond and recover from hazard impacts. Social
assets can be enhanced in many ways including cattle ownership in Monze for
example (Kalinda et al, 2010:20). They can also be enhanced through community
meetings, traditional ceremonies that bring people together, church gatherings and
41
formation of social clubs, remittances from migrated relatives, to name but a few
examples (Cliggett, 2000:126).
Social assets can also be enhanced through social safety nets and social protection
project activities that include social risk management activities (SRM), and
transformative social protection activities (TSP) (Peacock & Prater, 2012: 691). When
planning agricultural development projects, developmental practitioners should
identify limitations of social assets in terms of provision of voluntary labour, beliefs,
taboo, perceptions, traditions, norms identified so that these can be addressed in good
time at start of implementation.
3.3.3.6 Political assets
Political assets are part of the social assets in the original DFID Sustainable
Livelihoods model. Implicitly, UNDP (2004:21) suggests analysing political assets as
separate form of capital due to their importance. Political assets are political
representation, of organised groups for change such as area developmental
committees in case of Zambia. Political assets are important because they help the
community to fight discrimination based on gender and caste. This asset also helps the
community to lobby government for support during times of need.
3.3.3.7 Challenges of using the sustainable livelihoods model
Sanderson (2009:64) reports that some practitioners have found it difficult to use the
SL model because it is too holistic in nature, when organisations that should
implement the activities are sectoral based and not integrated. Additional research
findings are that the SL model has also not been used much in the disaster
management professional field because of its weakness of being unable to link hazard
impacts on livelihoods (Wamsler, 2006:155). The SL framework has further not been
used widely by the mainstream developmental practitioners due to their lack of
orientation in disaster risk management theory.
3.3.3.8 Blending analysis of livelihood assets with risk governance assessment
In view of the weakness highlighted above for the SL model, the six livelihood assets
are strengthened with ‘additional assets of community resilience’ for this study. These
are in form of community social risk governance capacity already discussed in
chapter two. These ‘additional assets of community resilience’ are: (i) disaster risk
42
awareness capacity, (ii) community disaster prepared planning capacity, (iii) recovery
capacity to bounce forward assessment, and (iv) community cohesion capacity as
depicted in (Figure 3.3).
Livelihood Assets &
Social Risk Governance
Capacity
H
N Cohe
Key
P Rec
H Human assets Polt Political assets
F CDPP N Natural assets Aws Awareness capacity
S Aws P Physical assets CDPP Community disaster preparedness plan
Polt F Financial assets Rec Recovery capacity to bounce forward
S Social assets Cohe Community cohesion
Figure 3.3: Expanded livelihood assets to measure enhanced resilience
Furthermore, the SL model is strengthened with in-depth hazards and vulnerability
analyses, to link the six livelihoods assets and the incorporated risk governance
capacity assets to disaster risk manifestation.
3.3.3.9 Community risk awareness capacity in the sustainable livelihood model
Disaster risk awareness, preparedness, response and capacity to bounce forward are
part of community resilience concept. As such, they should be assessed as well,
before project designing. Assessing risk awareness helps planners understand the
knowledge levels of the community and how the community perceives risk.
Community perception influences the importance placed by the community to plan,
prepare and implement specific risks reduction activities (IFRC, 2000: 122; Buckle,
2012:493). Specifically community perception of risk further influences how
evacuation routes and procedures for rapid or slow onset disaster are outlined. In this
way, risk awareness plays an important part in response planning, evacuation and
recovery (Buckle, 2012:501). Furthermore, assessment of community risk awareness
affords planners an opportunity to learn more about prevailing community early
warning systems and how these are communicated. Lack of awareness in turn affects
community psychological preparedness capacity (de Leon, 2012:484).
Early warning systems are important in timely response planning and hazard impact
minimisation. Early warning systems constitute a process whereby information
43
concerning a potential disaster is provided to people at risk and to institutions so that
tasks may be executed prior to its manifestation to minimise its detrimental impacts,
such as fatalities, injuries, damage and interruptions of normal activities (de Leon
2012:481).
3.3.3.10 Community based disaster preparedness planning & plans
The community disaster preparedness and response action plan commonly referred to
as community based disaster preparedness plan (CDPP) is the product of the
community participatory planning process (IFRC, 2000:10; Buckle 2012:500). This
process results in a plan that is locally owned for preparedness and risk reduction. It is
not the plan on paper that is very crucial in resilience building but ownership of the
plan (IFRC, 2000:15). The participatory planning process enhances this local
ownership of the plan.
The planning process is initiated by the community themselves or agency. However
based on local experience, it is quite rare that the community will organise themselves
proactively to develop and prepare a plan to manage disaster risk that is not eminent.
Either the local chief or other members of the community that are very enlightened
can only undertake such pro-active planning under very special arrangements.
Figure 3.4 summaries what the community disaster preparedness plan should contain.
44
Rescue
plans &
Relocation
Custodian Community
of plan voluntarism
Custodian of
early Assets set
warning aside for
messages & use in
how Community
disseminated Disaster
adversity
Preparedness
Plan
Agreed plan
on who to Knowledge
do what in on what to
case of do in
adversity adversity
Linkages Security
with local provision
authority duringdrought
Figure 3.4: Community disaster preparedness plan outline
(Source: Adapted from IFRC, 2000:21)
3.3.3.11 Hazard analysis in the sustainable livelihood model
Hazards are dangerous phenomenon, substance, human activity, or condition that may
cause loss of life, injury or other health impacts, property damage, loss of livelihoods
and services, social and economic disruption, or environmental damage (UNISDR
2009:17).
Hazard analysis therefore helps the practitioners to know how to categorise hazards
and understand what hazards are and how they affect the community. Participatory
hazard analysis further helps the planner to know community’s limitation to
understand the hazards that affect them and how they plan for their reduction. The
preliminary hazard analysis should be done at desk study level and then at field
assessment level before actual project design (ADPC, 2004).
At analysis, hazards should be categorised into one of the six major categories: hydro-
meteorological / climatologically hazards; biological / ecological hazard; geological /
45
geophysical hazard; natural hazard; socio-natural hazard and; technological hazard
(UNISDR, 2009:18).
According to Reeds (1997:10), hazards should further be analysed in terms of causal
phenomena, general characteristics of hazard type, predictability of the hazard, factors
contributing to vulnerability, typical effects, possible risk reduction measures, specific
preparedness measures for particular hazards, typical post-disaster needs and past
hazard impacts. This should be done in order to have a full scientific understanding of
their impacts on livelihoods and how the mitigation can be planned for.
46
Table 3.2: Hazards classification and description
Hazard
classification Detailed hazard description
These include tropical cyclones also known as typhoons and hurricanes,
thunderstorms, hailstorms, tornados, blizzards, heavy snowfall, avalanches,
coastal storm surges, floods including flash floods, drought, heat waves and cold
Hydro- spells. Hydro-meteorological conditions can also be a factor in other hazards such
meteorological / as landslides, wild land fires, locust plagues, epidemics, and in the transport and
climatologically dispersal of toxic substances and volcanic eruption material (UNISDR, 2009:18;
hazards Wisner et al, 2012: 205-295). These hazards have to affect vulnerable people and
their livelihoods to translate into disaster outcomes. This applies to all other
hazards.
These are process or phenomenon of organic origin or conveyed by biological
vectors, including exposure to pathogenic micro-organisms, toxins and bioactive
substances that may cause loss of life, injury, illness or other health impacts,
property damage, loss of livelihoods and services, social and economic
Biological / disruption, or environmental damage. Examples of biological / ecological hazards
ecological hazards include human epidemics, livestock epidemics, plant diseases, pests and erosion
of bio-diversity (UNISDR 2009:1; Wisner et al, 2012: 359-384). Some of the
biological / ecological hazards are now being referred to as socio-natural hazards
(UNISDR, 2009:27). Other refer to them as environmental hazards (Reeds,
1997:107)
These are geological process or phenomenon that may cause loss of life, injury or
Geological or other health impacts, property damage, loss of livelihoods and services, social and
geophysical economic disruption, or environmental damage. These hazards include landslide
hazards and other mass movements, earth quakes, tsunamis, volcanic eruption, social
erosion and contamination (UNISDR, 2009:16; Wisner et al, 2012: 295-347).
These are conditions originating from accidents, dangerous procedures,
infrastructure failures or specific human activities, that may cause loss of life,
injury, illness or other health impacts, property damage, loss of livelihoods and
Technological or services, social and economic disruption, or environmental damage. Examples of
industrial hazards technological hazards include industrial pollution, nuclear radiation, toxic wastes,
dam failures, transport accidents, factory explosions, fires and chemical spills.
Technological hazards also may arise directly as a result of the impacts of a
natural hazard event (UNISDR, 2009:29)
According to McGuire (2012:399) astronomical hazards are associated with
periodic collisions with asteroids and comets, powerful magnetic storms triggered
Astronomical by solar turbulence and exceptional bursts of high emergency cosmic ray arising
Hazards from exploding stars in the neighbourhood of our solar system. While having thepotential to disrupt global energy and global communication systems or obliterate
a city these associated day to day risk sourced beyond the atmosphere is small
compared to terrestrial hazards such as earth quakes, floods and windstorm.
Potential Conflict Conflict is a social vice that has potential to worsen relationships  and access to
& War resources resulting into serious disruption of livelihoods (Lewis, 1999:39)
(Main source: UNISDR 2009)
3.3.3.12 Vulnerability assessments in the sustainable livelihood model
Vulnerabilities are analysed in context of SL assets. Actual vulnerability assessment is
done using participatory rural appraisal techniques during field assessment (Abarquez
& Murshed, 2004:37).
47
3.3.3.13 The modified sustainable livelihoods model used in this study
Based on additional assets added to the original SL model, the model used in the
analysis of resilience in this discourse is depicted in (Figure 3.5).
Resulting in disaster resilient Enhanced resilience / Reduced social vulnerabilityMulti-Hazards community / Resilience tested
Enhanced resilience
Disaster risk
Transforming policies,
Livelihood Assets & Institutions & process Livelihood Outcomes
Social Social Risk
Vulnerability Governance Capacity Government  . more income
(physical, Influences Private Insitutions  . Increased well being
economic, H & access sector Livelihood  . Reduced vulnerability
enviromenal, N Cohe Strategies
political
P Rec  . Improved food security
Laws
F CDPP policies Processes  . More sustainable use of
S Aws culture
Polt natural resource baseInstitutions
Increased social vulnerability
Key
H Human assets Polt Political assets
N Natural assets Aws Awareness capacity
P Physical assets CDPP Community disaster preparedness plan
F Financial assets Rec Recovery capacity to bounce forward
S Social assets Cohe Community cohesion
Figure 3.5: Modified SL model used in this study
3.3.4 Mainstreaming DRR at project design stage
This stage involves further analysis of the data collected during field assessment to
undertake cost benefit analysis (Benson et al, 2007:91). This is in addition to
formulating strategies to alleviate either poverty or food insecurity through non-
emergency activities. At this stage, it is also assumed that practitioners will implement
activities that will enhance community resilience in addition to poverty and food
insecurity alleviation (Twigg, 2004: 55).
3.3.5 Mainstreaming DRR at project appraisal stage
Benson et al (2007:58) refers to this stage as the project preparation, which is similar
to the project design stage. This stage involves going back to the community to
48
in order to achieve
worsen vulnerability
discuss proposed interventions for possible adoption. This process is very important in
community resilience to adapt project interventions and for the community to buy into
the activities, process and the project.
3.3.6 Mainstreaming DRR at project implementation stage
This stage involves scheduling of tasks and executing the planned activities to
alleviate poverty, food insecurity as well as activities to enhance community
resilience (Abarquez & Murshed, 2004:73).
3.3.7 Mainstreaming DRR in monitoring and evaluating process
Mainstreaming DRR activities at this stage is important to ensure that appropriate
indicators are indentified and planned for, to evaluate impact of the project at
enhancing community resilience (IFRC, 2002:16). The projects are evaluated for their
relevancy, effectiveness, efficiency, impacts and sustainability.
Since the developmental projects being monitored and evaluated have dual goals: to
alleviate poverty and; to increase community resilience, this implies that monitoring
and evaluation for such a projects should be two fold within the overall context of the
project management cycle. The first fold should be monitoring and evaluation of
poverty alleviation activities against the planned and baseline. The second fold would
be to monitor DRR activities against planned and baseline as well. The reason for
separating these two strategies is that poverty alleviation or other activities to do with
poverty alleviating are not exactly the same as those meant to enhance community
resilience even though the two concepts are similar as already alluded to in chapter
two.
Using the SL model as the framework for assessing community resilience at pre and
design stage implies that the same elements assessed for resilience at the start of
implementation should also be evaluated after project implementation. It should be
noted however, that this evaluation would be done either with a disaster or without
disaster impact depending on whether disaster outcome was experienced during the
course of the actual implementation. Real community resilience enhancement is tested
properly when actual disaster manifest.
49
Evaluating the developmental project intervention to enhance community resilience in
overall project management cycle entails evaluating the pre-planning process way
through the designing of monitoring and evaluation indicators themselves.
3.3.8 Mainstreamed DRR in the overall project planning and management cycle
The whole process of mainstreaming DRR at planning stage to the monitoring and
evaluation stage is graphically presented in (Figure 3.6).
PROJECT CONCEPTUALISATION
STAGE PROJECT IMPACT REVIEW
Assessment of poverty & multi- Pre disaster occurance
hazard disaster risk assessment Post disaster occurance
PROJECT DESIGN & APPRAISAL
STAGE
·      Feasibility Studies
·      Identifying Interventions ADVOCACY & REVERSING OTHER UNDERLYING
incorporating DRR activities ROOT CAUSES OF POVERTY AND
VULNERABILITY
(Equivalent to the transforming structures in the
BUDGETING AND FINANCIAL SL model)
PROGRAMMING
(Incorporating DRR Activities)
PROJECT MONITORING AND
PROJECT IMPLEMENTATION (incorporating DRR) EVALUATION AFTER DISASTER
MONITORING AND EVALUATION WITHOUT DISASTER IMPACT IMPACT
Livelihood Assets & Increased Livelihood
Social Risk Governance Assets & Social Risk
Livelihood Assets & Social
Governance Capacity Risk Governance CapacityCapacity Ultilised
H
H N Cohe H
N Cohe N Cohe
P Rec
P Rec P Rec
F CDPP
F CDPP F CDPP
S Aws
S Aws S AwsPolt
Polt Polt
Community resilience analysis Community resilience analysis Community resilience analysis
before project implementation after implementation but before during or after implementation
disaster impact with disaster impact
Key
H Human assets Polt Political assets
N Natural assets Aws Awareness capacity
P Physical assets CDPP Community disaster preparedness plan
F Financial assets Rec Recovery capacity to bounce forward
S Social assets Cohe Community cohesion
Figure 3.6: Adapted project management framework incorporating modified SL model
50
3.4 Evaluating project impact for enhanced community resilience
All social economic developmental projects, be it agricultural or otherwise are
evaluated based on their planned objectives (UNDP, 2009:8). This implies that, a
project should not be expected to enhance community resilience systematically at the
end of implementation if it was not designed for such. However, such a project might
still enhance community resilience unwittingly as observed by Manyena (2009:142).
Given the increased conceptual and academic knowledge regarding DRR, any
evaluators of developmental projects would still expect to find DRR mainstreamed in
these projects in one way or the other especially in disaster prone areas.
Impact evaluations for non-emergency projects towards designed goals are done in
two major ways. That is comparing the group of beneficiaries to itself over time or
comparing a group affected by the project to a group not affected by the project over
time (Margoluis & Salafsky 1998:115).
3.4.1 Theory of comparing group of beneficiaries to itself over time
When comparing the group of beneficiaries to itself over time, evaluators can assess
the impact of the project to a pre-established yardstick, baseline or time series data
sets. Undertaking impact assessment using time series data collection is an expensive
undertaking because it involves collecting data sets multiple times before and after
project interventions (Margoluis & Salafsky 1998:116). This strategy is however,
practiced by institutions with a fully paid monitoring and evaluation officer.
3.4.2 Theory of comparing a group affected by the project to a group not affected
by the project over time
Evaluating project impact by comparing a group affected by the project to a group not
affected by the project over time is relatively cheaper compared to the other method
of time series impact assessment. Comparing a group affected by the project to a
group not affected by the project over time also affords an opportunity to establish
cause and affect according to (Margoluis & Salafsky 1998:117). Cause and effect
refers to the extent to which one factor influences another. These groups are compared
based on one that is influenced by the project and another not affected by the project.
Based on this influence, the evaluator would then determine extent of project impact
on an affected group or not.
51
This method further involves two other methods: Strict control evaluation design
model, which is also referred to as experimental design and; the comparison-group
monitoring design.
3.4.2.1 Strict control evaluation design method
The strict control evaluation design involves splitting a population into a control and
treatment group, which is quite difficult to do with people at community level that, are
very mobile socially. These people could also be multiple beneficiaries of many
developmental projects in one given area. Separating the control from treatment is
also difficult unless one also has a very comprehensive list of beneficiaries from an
intervening developmental project that is different from another (Ibid).
3.4.2.2 Comparison-group monitoring
Comparison-group monitoring design involves selecting a group of people that is
matched to another in a different area that could not have  benefited from a particular
project. This sub-method of comparing groups to a similar one in another area
minimises what is referred to as cohort contamination. This method is also effective at
coming up with a proper picture of project impact on one group compared to another
but with similar characteristics (Ibid).
3.5 Applying the project impact assessment theory
Using the evaluation theory and processes just described above, Thomas (2004:159)
has compared impact of three rural, integrated developmental projects in India. He has
compared the impact of these projects on the welfare of the rural poor and the
vulnerable population groups in Wayanad District, Kerala State. His assessment
focused on comparing impact of developmental activities in two out of three
developmental blocks that cover the whole district. One of the two blocks selected is
what he refers to as ‘high performing’ block whilst the other is ‘low performing’.
A further two villages from each of these two developmental blocks were selected.
Fifty beneficiaries were randomly selected from each of the four villages sampled.
Thus, 200 people that beneficiated from the three projects were sampled randomly to
canvass. Another 25 non-beneficiaries were purposely selected from each of the four
villages thus 100 non-beneficiaries were selected. Opinion leaders sampled were 50
and developmental functionaries or other stakeholders were 60. In summary the study
52
participants sampled were n=200 beneficiaries, n=100 non-beneficiaries, n=50
opinions leaders, and n=60 other developmental functionaries.
Information collected from the beneficiaries and other stakeholders included
beneficiary perception of the programmes’ impact. Sixty-eight questions in the
schedule were asked to illicit information on the impact of the programmes. Questions
were presented in the local language. Data collection instruments included interview
schedules and observation sheets. Data collection methods further included sample
survey, secondary data collection using content analysis and through observation
whilst attending community based developmental meetings.
Using this methodology Thomas (2004) has been able to collect all the necessary data
to analyse to answer his research questions. This analogue just shows how possible it
is to use the project impact evaluation methods described above to evaluate a rural
based integrated social economic developmental project like the ones being
implemented in Monze.
Joerin, Shaw, Takeuchi, & Krishnamurthy (2012:44-54) have also used the
comparison assessment methodology to evaluate the impact of hazards on community
resilience in Chennai in India. They have followed similar procedure as described in
Thomas (2004) to analyse the impact of coastal storms and river floods on the welfare
of ethnic grouping in this district. The selected two wards 79 and 131 out of 200
wards in the whole district and sampled 8.4 and 8.7% of the populations in the 2
respective localities. They further used t-test statistical analytical methods to analyse
their datasets to compare the results from the two communities.
Using this method, Joerin et al (2012:53) have been able to make conclusions as
regards which communities are more resilient to disaster risk and why they are more
resilient. Through this method, these researchers have also identify the specific
demographic population that is more affected by hazards and how these people
manage these impacts based on their resilience. This study in Chennai was done in a
poor urban setting that is prone to hazards impact.
53
Considering that India is also a developing country, these two examples highlighted
can also be applied to Zambia and localised to Monze in a disaster prone area
characterised by high incidents of poverty as well as social vulnerability.
3.6 Conclusion
This chapter demonstrated how social economic developmental projects should be
designed and implemented to increase community resilience whilst attempting to
alleviate poverty and alleviate food insecurity at the same time. Institutions intending
to operate in a given area should incorporate risk reduction activities at agency level
and then incorporate DRR activities at every stage of the traditional project
management cycle, to enhance community resilience.
This chapter has also demonstrated the need not to create parallel structures at
institutional up to community level to plan and implement social economic
developmental activities that should increase community resilience whilst projects
attempt to alleviate poverty as well. Instead practitioners should identify already
existing models that would help them assess resilience capacity of the community at
pre-design stage way through, to ex post evaluation stage.
The chapter has also demonstrated that undertaking comprehensive community
disaster risk assessment before project design stage is critical in properly designed
non-emergency, social economic, developmental projects that aim at increasing
community resilience whilst attempting to alleviate poverty as well.
The chapter has further demonstrated how developmental projects meant to enhance
community resilience in addition to poverty and food insecurity alleviation can be
evaluated using the comparison group evaluation theory in the absence of a baseline.
54
CHAPTER 4
AGRICULTURAL DEVELOPMENT PROJECTS AS A TOOL TO INCREASE
COMMUNITY RESILIENCE
4.1 Introduction
This chapter is a review of literature on how agricultural development projects are
designed and implemented to enhance community resilience and alleviate poverty at
the same time. As a way of consolidating the review, consideration is also focused on
some good projects that have been implemented globally and in Zambia to reduce
poverty and enhance community resilience at the same time.
4.2 Global importance of agriculture in poverty alleviation and resilience
building
FAO (2012:5) estimates that forty-two percent of the world’s total population, that is
3.1 billion people live in rural areas in developing countries as illustrated in (Table
4.1). Of these, eighty-two percent that is 2.5 billion derive their livelihoods from
agriculture. These statistics suggest that agriculture is the largest social-economic
sector that supports livelihoods in the rural areas in developing countries. Agriculture
further accounts for 50-90% of the income generated by these people in rural areas
(Action Aid, 2012:16). Unfortunately, most of these people that are dependant on
agriculture are also poor and live on less than US$2-a-day (IFAD, n.d:1)
Table 4.1: Continental population dependant on agriculture for survival in 2012
Total Population Agricultural Agric
Agric
Continent population asin Millions Population population as %of regional total % of globaltotal
Global population 6894.8 2619.1 - 38.0
Developing Region 5651.5 2565.8 45.4 37.2
Asia 4029.2 1953.1 48.5 28.3
Africa 1022.2 513.4 50.2 7.4
Latin America 590.1 93.2 15.8 1.4
Oceania 10.0 6.1 61.0 0.1
Developed Region 1243.3 53.3 4.3 0.8
North America 344.5 5.8 1.7 0.1
Europe 738.2 43.5 5.9 0.6
Asia & Ocean Asia 160.6 4 2.5 0.1
Source: FAO (2012:36-37)
Asia and sub-Saharan Africa contributes 35.7% of the global total population that are
dependent on agriculture for survival. Apparently, most of these people are
55
subsistence farmers and further depend on rain-fed agriculture to support their
production patterns. Thus rain-fed agriculture accounts for 60% of the production
base in these developing countries (FAO, 2003:18). Unfortunately, rain-fed
agriculture is very susceptible to hydro-meteorological hazards such as drought,
floods and pre-disposes millions of people to social vulnerability (Action Aid,
2012:15).
Despite its many challenges, there is broad consensus among practitioners to
recognise the potential of rain-fed agriculture as a means to feed the many people in
the world that go hungry, especially in the developing counties (Twomlow, Mugabe,
Mwale, Delve, Nanja, Carberry & Howden, 2008:781). This recognition has come
after a decade of international neglect of the agricultural sector. The rekindled global
debate on how to use agriculture to alleviate poverty is now focused on how to
strengthen small-scale rain-fed agriculture systems as a means to increase food
security and community resilience. There is therefore a lot of good will at global level
by respective governments and stakeholders to continue using agriculture as means to
enhance community resilience.
4.3 Strategic use of agricultural development projects
Globally, governments and practitioners in developing countries are still using
agricultural development projects as social economic tools to alleviate poverty and
improve food security for the rural poor masses (Dethier & Effenberger, 2012:175). In
this way governments use agricultural development projects as social safety nets,
social protection, antipoverty as well as drivers for economic growth at household,
community and national level (Jayne et al 2011:1; FAO, WFP & IFAD, 2012:5).
It is important to note that governments use agricultural development projects as a
rural developmental strategy (ibid). In this way, governments and practitioners are
using agriculture as a vehicle through which they redistribute income from the central
government to the rural masses. This is done through agricultural input and
production subsidies (Harvey 2004:266). Agricultural development projects are used
in this way despite having been considered to have failed considerably, during their
implementation due poor designing process in the 1970s (Hulme, 1995:211).
56
4.4 Challenges for using agricultural development projects to enhance
community resilience globally
When analysed closely, the challenges to use agricultural development projects to
enhance community resilience can be categorised into three major themes:
conceptual, strategic and operational. Some of the problems articulated by scholars
are implied.
4.4.1 Operational Challenges
4.4.1.1 Poor project planning
Poor project planning and project design at sectoral level has been cited as one of the
major challenges for agricultural development projects to achieve sustainable
livelihoods especially in sub Saharan Africa since 1945 (d Silva & Bysouth, 1992:37;
Kakonge, 1995:275).
Wiggins (1994:9) has however argued that what has been perceived to be poor project
planning and implementation has been due to three major reasons: (i) biasness of the
evaluators; (ii) the lack of recognition of successful projects that have been
transformed into programmes; (iii) and project failure due to factors beyond the
project management team. Wiggins (ibid) has further argued that projects that fail due
to external factors include: projects that fail early during main implementation; and
those that survive implementation but whose activities and benefits are not sustained
over time and latter collapse as well.
Nonetheless, despite Wiggins (1994:9) counter arguments on poor project planning,
much of the literature available depicts the agricultural development projects not to
have performed very well especially in sub-Saharan Africa. Hence the constant debate
on how to improve the projects, from the abandoned integrated rural developmental
project (IRDP) planning and implementation approach to the adoption of the sector
investment developmental project planning and implementation approach (Eicher &
Baker, 1982:61).
57
4.4.2 Conceptual Challenges
4.4.2.1 Overemphasis on technological advancement
According to Low (1994:39) over emphasis of technological innovation as a means to
improve productivity has been another challenge associated with failure by
agricultural development projects to enhance community resilience.
Whilst small-scale farmers are severely constrained by the non-availability of
appropriate technology, agricultural technological advancement is still regarded not to
be the panacea to community resilience enhancement (D’silva & Bysouth, 1992:16;
Wisner et al, 2004:24). Technological advancement projects need to be blended with
social aspects of resilience building or social vulnerability reduction. By over
emphasising the use of technological advancement in general, agricultural
development projects tend to be inclined to promoting more of hazard mitigation
strategies as opposed to enhancing community resilience. This practice has also led to
the inclination of agricultural technological research to climate-change and hazard
mitigation. Thus, resulting in so many publications on this subject as opposed to
agricultural social vulnerability research (Lobell, Burke, Tebaldi, Mastrandrea, Falcon
& Naylor, 2008:607; Fischer, 2011: 95).
Agricultural innovations are mainly generated through technical research initiatives
such as plant and animal breeding programmes (Low 1994:41). However, even this
appropriately generated scientific knowledge in one area can still overshadow
community indigenous knowledge on survival mechanism when introduced in another
area (Mercer 2012:105).
Since the typical nature of advancing technology cannot be changed in agricultural
developmental programming, practitioners can still use technology to advance
community resilience. This practice is already partially done unwittingly by
addressing poverty and food insecurity but should go a step further to incorporate
community risk governance capacity to enhance community resilience as shown in
(Figure 4.1).
58
Projects are already addressing
agricultural risk through
technological advancement by
promoting crop diversif ication. Eg
planting tubers crops and rearing
goats to mitigate drought
Projects already addressing
improved land management
and conservation farming to Food
mitigate drought and improve Security
yields w hilst conserving Incorporate
natural resources
Improved production and increased Community Build
productivity from household land Risk Community
and resources Governance Resilience
Capacity
Building
High value crops and
livestock enterprises to Increased
raise income income
Adding value to Marketing
produced crops and surplus
livestock off takes production
(Local processing)
Finding employment outside ow n
farm
Figure 4.1: Blend of agriculture technology with risk governance capacity to enhance community
resilience
Source: Adapted from Agricultural Support Programme Hand Book for Facilitators (2003:5)
4.4.3 Strategic Challenges
4.4.3.1 False solutions to reduce disaster risk
Action Aid (2012:9-11) have argued that major institutions are using wrong
agricultural developmental strategic project activities to address climate variability.
Examples of such projects are promotion of biofuel, social carbon markets and
promotion of climate smart agriculture.
Instead, Action Aid (2012:14-17) is advocating promotion of what they are referring
to as ‘climate resilient sustainable agriculture’ (CRSA). This recommendation
includes seven specific activities to enhance agronomic as well as community
resilience. These are: (i) gender equity and women’s rights, (ii) appropriate social
conservation techniques, (iii) sustainable water management techniques, (iv) agro bio-
diversity preservation, (v) livelihoods diversification, (vi) improved processing and
59
marketing, and (vii) improved support towards farmer organisations and collective
action. The CRSA concept is more inclined to disaster risk reduction concept when
analysed closely. Properly designed agricultural development projects should
therefore mainstream CRSA to enhance community resilience.
4.5 Global examples of successfully designed and implemented agricultural
development projects to enhance community resilience
There are many examples that can be cited globally to have achieved dual objectives:
to alleviate poverty; and enhance community resilience at the same time (World Bank
& UNISDR, 2007: 84-94). Apparently, most of these examples are not exclusively
agricultural. The projects are integrated and lean towards being DRR exclusively or
climate change adaptation. These examples are highlighted however, because they are
rural based and incorporate activities that relate to agricultural development. Specific
examples are cited from Asia, South America, Europe and then Africa.
4.5.1 Asia
4.5.1.1  Bangladesh
Practical Acton NGO in Bangladesh attempted to enhance community resilience by
addressing people’s social and physical vulnerability due to flood hazards between
2004 and 2011. Flood hazards in Bangladeshi resulted into riverbank erosion,
destroying crops and livelihoods assets. This project focused on building community
capacity to strengthening livelihoods and increasing preparedness capacity. It
attempted to build community capacity on how to identify hazard impacts; and how
communities could initiate solutions on their own to address these hazard impacts and
underlying root causes of vulnerability (Practical Action, 2011). In this way, the
project attempted to enhance community resilience using the participatory and
livelihoods intervention approach as recommended by the Hyogo framework of action
(HFA).
According to Practical Action (2011), their Bangladesh project was successful at
building resilience because it was holistic and participatory in nature. The detailed
reasons attributed to this perceived success of this project were:
60
i. That the project had built community capacity to collaborate to anticipate
flood occurrence. Through this facilitation, the community improved on their
own early warning communication system.
ii. The project helped facilitate and enhanced community mobilisation ability.
Using this knowledge the community was able to plan and built its own
communal infrastructure such as the raised walking paths to avoid highly
flooding waters.
iii. The project improved capacity for community to improve their own cohesion
and ability to improve their own team-working spirit whenever a flood hazard
affected their community. This capacity enhanced rescue operations and
saved the community as well as individual household assets. Through this
capacity, the community was able to build flood resilient houses that they
now owned legally. Previously the community never owned these houses
legally. The project facilitated the community with legal aid support to obtain
legal documents to own the houses they just built.
The process of facilitating the community to obtain legal documents was a
developmental strategy as well as means for the project to help the
community address underlying root causes of social vulnerability. Lack of
access to legal ownership of assets in the first place worsened vulnerability.
iv. The project was able to build community capacity to enhance alternative
income generating strategies such as needlework and sheep rearing. In this
way, the project helped the community with skills to raise income and build
assets to help them during and after hazard impact. This is an example of
financial assets that can be built using the sustainable livelihoods approach
that can be replicated in Monze.
v. The projects further promoted flood resilient cropping patterns using
improved rice seed that performed well under heavy flooding. This strategy
was an example of technical cropping adaptation. The strategy helped the
community to take advantage of the floods and enhance their resilience by
building physical assets that they later used to respond and recover from the
future hazards.
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vi. The project improved technical capacity on how to construct water points and
latrines above the flood level line. This was an example of retrofitting and an
example of building physical assets from sustainable livelihood model
approach.
vii. The project also improved human capacity and professional skills for people
at risk in masonry, cardboard packaging material making; micro enterprise
banking facilitation through improved grain and cereal banking activities.
viii. The project also improved on managing income sustaining activities through
sheep rearing for men and duck rearing for women, floating gardening and
overall community participation in solution identification for vulnerability
reduction. This was an example of the projects being gender sensitive and
deliberately involving women in project activities.
ix. The project further promoted agricultural production to be done throughout
the year. This was important to overcome seasonality of agricultural
production.
Even though Practical Action is not explicit in its documentation on how these
projects were designed and implemented, step by step, it is clear from the narrative
that the projects were participatory in nature. It is also clear that the projects
attempted to build on inherent community capacity through capacity building
facilitation and not direct handouts.
The documentation, however, does not quantify how much outputs were generated
and this is the challenge of measuring resilience (Birkmann, 2006:10).
4.5.1.2 Philippines
The successful examples that have been implemented to enhance resilience are
documented by IFAD in the Philippines. Philippines is also a serious flood hazard
prone area due to the typhoons just like Bangladeshi (IFAD, 2009:2).
IFAD (2009:2) reviewed performance of its two agricultural development projects in
Philippines to understand how these projects enhanced sustainability. The projects
were the Northern Mindanao Community Initiative and Resources Management
Project (NMCIREMP), and the Cordillera Highland Agricultural Resource
62
Management Project (CHARM). These projects were supported by IFAD after
inception of Hyogo frame work of action of 2005. Both developmental projects did
not mainstream DRR. According to IFAD, the NMCIREMP was successful at
incorporating sustainability issues due to four factors:
i. It addressed the expressed needs of the community,
ii. It targeted and worked very closely with the community leadership and
general community to plan interventions, thus participatory in real sense.
iii. It facilitated joint project activity reviews, and,
iv. Recruited locals to implement it (IFAD, 2009:24).
The second IFAD facilitated project, CHARM was not sustainable because it was
overspread geographically and thus had low impact. This project is also reported not
to have been successful because it did not incorporate indigenous knowledge during
its design and implementation stages. Implying that it was not participatory.
The second reason for the perceived failure for CHARM was that IFADs’
implementing partner NGOs had no strong leadership to spearhead sustainability of
the project activities. The role of NGOs in agricultural developmental work is
however important due to their flexible working culture which is less bureaucratic
(Low, 1994:52). Project planners in government and the UN systems should therefore
be mindful of this strength with NGOs and endeavour to involve them in
developmental service delivery.
4.5.2 South America
4.5.2.1  Honduras
‘Reducing Risk by Acting Together’ is an example of a well designed and
implemented developmental project to have built community resilience that can be
cited in Hondurus, South America (Cordaid, 2001:01). The project is reported to have
been successful because it was well designed and implemented.
The project was designed to address causes of poverty and build community resilience
after the HFA of 2005. The project was implemented in Cementera community in
Hondurus west. Honduras is a multi hazard prone area as well and its communities are
63
highly vulnerable to these hazards due to environmental degradation, rapid population
growth and high income disparities (Telford, Arnold, Harth & ASONOG, 2004:8 &
34). Carter, Little, Mogues & Negatu (2007: 836) allude the causes of social
vulnerability in Honduras to what they term as ‘poverty trap’. Specific reasons for its
perceived success are that:
i. The project increased capacity of the community in legal awareness of the
environment the community is leaved in. Through this achievement, it can be
deduced that the project implementers undertook participatory community risk
analysis to identify risk before indentifying solutions.
ii. The implementing agency also built capacities of the community in risk
awareness by facilitating risk awareness workshops.
iii. They also facilitated actual building of tangible community assets to mitigate
disaster such as construction of a small bridge across the river for safe
passage, rehabilitation of water distribution tank to provide good quality water
before and during times of adversity.
iv. The project further helped to formulate a contingency plan which is similar to
preparedness plan.
v. The project facilitated and built confidence in community leadership to lobby
local authorities to address problems that really affected the community and
advocate DRR inclined developmental interventions.
At the end of the day, the project can be said to have increased community resilience
through increased awareness, women participation, general community participation,
community organisation, facilitation to build community assets such as a bridge,
improved community cohesion and voluntarism to help the most needy during times
of adversity. All these are signs of a resilient community.
Even though qualitative and not agricultural, nor exclusively for poverty alleviation
but DRR, the success of the design and implementation of this project which was
holistic in nature was attributed to the good planning approach adopted by the
implementing agency, Santa Rosa de Copán, the Cordaid implementing partner.
Nonetheless, the available literature did not document the step-by-step process of how
this project was designed apart from discussing the final evaluation results. Neither
64
does the literature explain the methodology used to arrive at the conclusion that the
project was properly designed. The literature just summarises the achievements. It can
be deduced from this summary however, that the implementing agency: (i) involved
the community at all stages of project designing and implementation and; (ii) was
very focused on capacity building for the community in many areas of DRR, for the
community to initiate and continue managing sustainable activities on their own.
In conclusion community resilience in Cementera can be said to have been increased
the project because the project focused on building community assets and an enabling
environment for the community to thrive as opposed to the project building assets for
each household directly. Only a well-designed developmental project can achieve
such objectives.
4.5.3 Europe
Being highly industrialised and urbanised, Europe has less people in the rural areas
that depend on agricultural for their livelihoods, let alone those that are dependant on
rain-fed agriculture compared to Africa. As such Europe’s rural developmental
strategy is different from the one implemented in rural Africa. However, in their
policy research findings, (Schotern, vander-Heide, Heijman & Opdam, 2012) have
indicated that rural developmental projects are also used in Europe to contribute
towards enhanced community resilience. European governments have realised that
support to enhance community resilience in rural towns leads to sustainable and
viable rural areas. This is done though heavy investment in business continuity
disaster recovery management programmes.
The rural developmental projects in Europe are not agricultural nor necessarily to
alleviate poverty. The projects focus on a business policy framework to improve
trade, service delivery including insurance and improve infrastructure. According to
Schotern et al (2012), and Mason (2006:8), building community resilience in Europe
also helps communities or localised business enterprises to continue thriving even
after negative hazard impacts on infrastructure.
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4.5.4 Sub Saharan Africa
4.5.4.1 Malawi and Namibia
Specific examples in Africa of projects that are exclusively DRR are the small,
medium-scale initiatives to control river flow in Malawi in Southern Africa (UNISDR
2007:36); the Support to Local Decision Making with Inter-community Platform and
Local Level Monitoring in Namibia.
4.5.4.2 Ethiopia
Other specific examples of agricultural development projects designed to alleviate
poverty and build DRR in Africa are the African Community Resilience Project in
Ethiopia East Africa 2007-2010 (UNISDR, 2007).
4.5.4.3 Kenya
The Drought Cycle Management (DCM) and Community Managed Disaster Risk in
Kenya in East Africa (UNISDR & UNDP, 2007:29) is another example of exclusive
DRR designed projects. The DCM has other subprojects namely Community
Organisation for Developmental Support (CODES), The Pastoralist Integrated
Support Programme (PISP) and the Community Initiative Facilitation and Assistance
(PISP).
4.5.4.4 Zimbabwe
The Local Knowledge and Community Based DRR project in Chivi District, southern
Zimbabwe is one good example of an exclusive agricultural developmental project
that has mainstreamed DRR (Wisner et al, 2012:106). This project is implemented in
a rural area that is prone to drought. It targets food insecure households. Practical
Action NGO implements this project in Chivi.
This project was initially designed for food security and poverty alleviation in 1990
and is still ongoing (Masendeke, 2002:1; Wisner et al, 2012:106). The project
emphasises on activities to build local indigenous knowledge for resilience building.
It is a participatory, bottom-up approached developmental project.
Even though the literature reviewed does not show how the project was designed step
by step, it can be deduced from its documented achievements that the project has been
a success at reversing causes of poverty when poverty is defined from food insecurity
66
point of view. The challenge of the project is sustainability beyond external project
support thus threatening continued sustenance of resilience from sustainable
livelihoods point of view. Thus, it can be deduced further that the project has not done
enough to institutionalise capacity on how to sustain livelihoods assets’ building
beyond external project support. This element should be seen to be addressed by
projects in Monze in view of increased conceptual knowledge on DRR.
4.6 Examples of successful developmental projects implemented in Zambia
to enhance community resilience
There is scantly literature on successfully designed and implemented agricultural
development projects in Zambia that have deliberately mainstreamed DRR to enhance
community resilience. Projects that have been close to achieving this have been the
post-emergency recovery projects like the 2003-2006 world bank supported
Emergency Drought Recovery Project (EDRP) (World Bank 2004:7). This recovery
project was designed to scale up of the current Targeted Food Security Pack Project
(FSP) that was implemented by the Programme Against Malnutrition (PAM) by then
(FASAZ, 2003:vi).
The Food Security Pack is now implemented by the Ministry of Community
Development, Mother and Child Health (MCDMCH). This project was originally
designed to reduce poverty of the vulnerable through improved household food
security and has continued with this theme (FASAZ, 2003:2). Specific activities under
this project were to achieve two goals: reduced poverty and vulnerability through
increased household food security and; improve coping ability against risk by
increasing economic resilience. The project did not include all the elements of
community resilience building as defined in this discourse. The project only promoted
the element of recovery capacity by promoting the cereal banking concept and real
crop diversification, through distribution of diverse agricultural production packs that
were agro ecologically zone specific.
WVZ Choongo ADP in Monze is another localised example that can be cited to have
attempted to incorporate DRR in their programming. The project only facilitates the
formulation of the community disaster preparedness plan as the major DRR activity
(WVZ, 2012).
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4.7 Policy guidelines for designing and implementing agricultural
development projects in Zambia
Researchers can view respective websites for government line ministries, international
aid agencies such as DFID and multilateral organisations such as FAO and IFAD and
international NGOs such as ActionAid to review agricultural developmental projects
being implemented in Zambia. These websites however do not publish how each of
their developmental projects are planned apart from policy pronouncement of how
each agency or organisation implements their developmental projects in the country.
Researchers have to obtain details of how each project is designed from the respective
organisations or agencies. The latter is part of the objectives of this study. The twelve
agricultural development projects being implemented in Monze by respective
agencies are outlined in Table one in the first chapter of this document.
Pertaining to disaster risk reduction, the current Zambian National Agricultural Policy
(NAP) infers that it will reduce this by assuring food security through: (i) improved
productivity, crop and income diversification, (ii) strengthen the emergency
preparedness framework through early warning improvements, timely and efficient
crop forecasting; (iii) and maintenance of strategic food reserves (GRZ, 2004:1).
At institutional level the policy assures that it will improve knowledge transfer to
farmers through participatory extension methodologies and harnessing external
linkages for the farmers to achieve maximum benefits from agriculture. The policy
also assures to promote irrigation in view of the abundance natural water resources in
Zambia (GRZ, 2004:1).
In livestock sub sector the policy aims to facilitate: (i) sustainable community
participation in disease and vector control programmes; (ii) enhance the participation
of the private sector in the provision of livestock services such as the Monze small
holder dairy project; (iii) promoting the use of plant and herb based veterinary
medicine. (iii) The policy also aims at promoting the production of small livestock
such as chickens, sheep, goats, and pigs (GRZ, 2004:29).
In addition to the NAP, planners in Zambia are expected to be guided by the Six
National Developmental Plan (SNDP). The SNDP is the medium term strategic
planning framework for 2011-2015 used by government to plan developmental
68
activities (GRZb 2011:1). The long-term national developmental planning framework
in Zambia is the Vision 2030 (GRZ 2006b:1).
According to Mr. Mulemwa, the Principal Economics, Trade & Entrepreneurship
Officer, the Ministry of Agriculture and Livestock (MAL) is currently formulating
guidelines on how stakeholders will operationalise the National Agricultural Policy
(NAP) of 2004 to 2015 (Personal Interview, 4th October, 2012). Notwithstanding,
Wiggins (1994:15) has stated that agricultural development projects cannot be blue
printed, and no project design document can be produced to ensure that projects do
not fail.  According to him, there are too many factors that planners need to consider
to ensure that the projects do not fail. To the contrary this is the reason why guidelines
should be produced on how to mainstream DRR in non-emergency developmental
projects in view of the many concepts that are being developed in DRR, climate
change and poverty alleviation.
4.8 Specific challenges of using agricultural development projects in
Zambia
4.8.1 Very high poverty levels and government overemphasis on maize
production
According to Mason et al (2011:2) and Jayne et al (2011:1) the Zambian government
spends 2% of the national GDP and about 90% of poverty reduction programmes’
budget on subsidizing maize production and marketing at expense of other crops and
other agricultural sub-sectors.  Despite this kind of support, poverty levels among
small-scale farmers are still very high. Government and other stakeholders need to
promote crop diversification to enhance community disaster resilience. With high
poverty levels, agricultural development projects have to address poverty first and
food insecurity before they can enhance community resilience from an economic
perspective.
4.8.2 Low crop and livestock outputs
Crop and livestock outputs for small-scale farmers in Zambia, Monze District
inclusive, are still very low compared to global averages (Mason, Burke, Shipekesa &
Jayne, 2011:2; Kuteya, 2012:7). For example, the current average yields for maize per
hectare are 2.125 metric tonnes in Zambia compared to 4.47 metric tonnes per hectare
69
globally.  Average yields for groundnuts are 0.7 metric tonnes per hectare compared
to 1.35 metric tonnes per ha globally. Such low yields imply that agricultural
development projects being implemented in Zambia and Monze District in particular
have to focus on increasing crop productivity before they can enhance resilience.
The current national farmer input support project (FISP) only provides support to
farmers to grow less than one hectare of Maize, thus technically supporting low
productivity at household level in real sense. Against this practice, the Zambia Indaba
Agricultural Policy Research Institute (IAPRI) has recommended to government to
instead support a minimum of one hectare of Maize crop for both food and cash to
alleviate poverty and help enhance community disaster resilience among small-scale
farmers. From the IAPRI recommended outputs, a family is thus able to meet its
minimum food needs of about 20 x 50 kg bags of maize per annum and meet other
social obligations through sales of the extra 22 x 50 kg bags that would have been
produced from a hectare. The family can then raise about K1,430,000 non-rebased
Zambian kwacha or US$286 from sale of the surplus grain produced in that particular
year. This would be the income raised in the whole year from sale of surplus maize
grain produced. This income is however still below the minimum of US$2 per day
World Bank poverty threshold.
4.8.3 Low irrigation utilisation
Zambian irrigation potential is conservatively estimated at 423,000 hectares. Only
12% of this potential at 50,000 hectares is utilised (GRZ, 2004:1). Agricultural
projects should practically address this issue to enhance community resilience. The
NAP attempts to double this utilisation to 90,000 by 2015, but there is little evidence
on the ground that government is anywhere near this target (Bonaglia, 2008:16).
4.8.4 Agricultural credit
Up until 1997, government through the three major institutions provided agricultural
financing to small-scale farmers. These were the: (i) Zambia Cooperative Federation
Finance Services, (ii) Lima Bank and the (iii) Credit and Savings Union of Zambia.
This credit was highly subsidised and small scale farmers were not required to
provide any collateral to obtain it. As such, the small-scale farmers considered this
credit as grants and lead to low rates of repayments, recovery and the collapse of the
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lending regime. Currently there are no major institutions that are proving credit to
small-scale farmers in Zambia, Monze inclusive apart from those proving small grants
(Wichern, Hausner & Chiwele, 1999:9).
4.8.5 Conservation agriculture adoption against real diversification promotion
There is evidence of better crop yields that could lead to better outputs and economic
resilience in Zambia among small-scale farmers that implement a wide range of
conservation farming techniques. However, the adoption rate for this technology is
not widespread (Haggblade & Plerhoples, 2010:29). Equally, crop diversification is
still low in Monze despite many conservation and crop diversification projects
(Bonaglia, 2008:14). Hence the need for practitioners to promote real crop
diversification than interventions that promise to deliver so much and yet delivers so
little.
4.9 Summary of research gaps
Based on literature reviewed there are very few exclusive agricultural rural or urban
based poverty alleviation projects globally or locally in Zambia that have deliberately
attempted to mainstream DRR. This is with respect to the inception of the Hyogo
framework of action of 2005. The bulk of agricultural development projects are still
traditional agricultural sector improvement and social safety nets that do not
mainstream DRR deliberately in their design and implementation process or at any
stage of the project planning and management cycle.
The few documented projects that are agricultural in nature and perceived to be
successful at building community resilience have either built resilience accidentally.
There is also no documentation available on how these perceived successful
developmental projects that focused at alleviating poverty were designed and
implemented step by step with respect to either use of the modified project planning
cycle or the CBDRR planning framework. As such, documentation available does not
conclusively indicate the design and implementing models used by planners for these
projects. It can be assumed that planners either use the modified project planning
cycle or CBDRR to mainstream DRR. There is need therefore to have many case
studies of poverty alleviation projects that have attempted to mainstream DRR
deliberately and how they have fared at building community resilience. This study
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attempts to contribute to the analysis and documentation of case studies to link
designing and implementation of poverty alleviation projects with increased
community’s resilience. This is to further help stakeholders to replicate successfully
designed and implemented projects in terms of DRR mainstreaming and to avoid
shortcomings that lead projects to fail to enhance community resilience.
4.10 Conclusion
This chapter has outlined the importance of agricultural development projects to
alleviate rural poverty in general and how these projects are designed, implemented,
monitored and evaluated based on their planned objectives. The chapter has also
demonstrated that properly designed and implemented agricultural development
projects to alleviate poverty and enhance community resilience at the same time are
those that mainstream DRR. Mainstreaming is done using the modified project
planning cycle or the community based disaster risk reduction planning and
implementation tool.
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CHAPTER 5
PRESENTATION OF FINDINGS, ANALYSIS AND DISCUSSION
5.1 Introduction
The three previous chapters were on literature review on the concept of community
resilience. They also included theoretical models used to explain the process of
building community resilience and literature focusing on agricultural development
projects designed for poverty alleviation.
This chapter presents findings of the study on how agricultural development projects
are designed and implemented at community level in Monze. The findings are also on
how these projects have enhanced community resilience as viewed by the community,
planners and other stakeholders. The results presented are based on data collected
using questionnaires’, focussed group discussions, preliminary interviews with some
project planners, monitoring and evaluation officers.
Access to project documents from all the twelve implementing agencies was difficult.
Custodians of these documents were not willing to share them for undisclosed
reasons. Apart from WVZ Choongo Area developmental project and the Monze
smallholder dairy farming improvement project, all other project documents were
kept in Lusaka at respective head offices for the projects’ implementing organisations.
This development implied that all the other ten developmental projects implemented
in Monze were centrally designed and co-ordinated from Lusaka.
Given this background, the results being presented in this chapter are mostly based on
end user perspective and little is from the planning and implementing agencies. The
little that is presented from the agencies is based on preliminary interviews made by
the researcher with district based NGO and ministry of agricultural staff and the
personnel from the private, cotton producing and promotion companies. All these
district based officers referred any further inquiries to their head officers in Lusaka for
any detailed discussions on projects’ they implemented in Monze.
Findings from the user perspective are presented in the context of the livelihoods
assets and community risk governance capacity that guided data collection. The
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findings from the user perspective further compares enhanced resilience levels in
Keemba and Nalutanda communities. Keemba had seven developmental projects
compared to Nalutanda that had three.
5.2 Sampling results
Since the study was carried out at district level sampling was done in two stages to
select the agricultural camps and then the individual households.
5.2.1 First stage cluster sampling
Two theoretical frameworks guided the first stage sampling process. The statistical
theoretical framework and; the definition for disaster risk. The first stage sampling
was further guided by the number of projects that were implemented in a given
agricultural camp within Monze. Hence the most disaster prone camps with high risk
of multi hazards’ impacts coupled with high vulnerability were sampled. These camps
were further sampled based on the number of agricultural development projects that
various stakeholders supported and implemented in these camps.
Multi hazard disaster risk was weighted based on actual hazards experienced in the
last ten years coupled with current vulnerability of the respective two communities as
depicted in (Table 5.1). Camps of similar disaster risk magnitude were therefore
selected to avoid differences in risk magnitude from influencing the outcome of the
study. Information to enable this sampling at cluster level was provided by both field
and district based agricultural staff in Monze. This source of information was used in
the absence of detailed, past incident reports, on the occurrence and impact of the
hazards at any level of administration in Monze.
Two camps were therefore sampled out of thirty-four in the district. The two were
Keemba and Nalutanda.
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Table 5.1: Weighted hazards and vulnerability status for Keemba and Nalutanda camps in 2012
Agric Camps and
Sn Hazards and Vulnerability Analysis of Camps in Monze based on respective weighted
agricultural field officers experience and expert knowledge scores
Keemba Nalutanda
Worst  affected camp by dry spells in 2011/12 growing season
1 (Ranking values were: 3 = worst affected; 2 = moderately affected; 1 2 2
=  lowly affected; 0 = not affected)
Worst affected areas by last floods hazards experienced (Ranking
2 values were: 3 = worst affected; 2 = moderately affected; 1= lowlyaffected; 0 = not affected) (last flood season was in 2007/08 growing 0 1
season)
Most bovine  disease affected camp (Ranking values: 3= worst
affected; 2 = moderately affected; 1 = lowly affected; 0 = not
3 affected) (Current) 2 1
Camp with Highest HIV/AIDS prevalence cases  (Ranking values
4 were: 3 = worst affected; 2 = moderately affected; 1 = lowly 2 2
affected; 0 = not affected) (Current 2012 prevalent rates)
Agricultural camp with most poor households hh (Ranking values
5 were: 3  with most poor hh; 2 with moderate levels of poverty formost hh in the camp; 1 was for low numbers of poor households in 2 2
the camp)
Most Food insecure area this agricultural marketing season 2012/13
6 by (Ranking values: 3 = worst food insecure ; 2 = moderately food 2 2
insecure ; 1 = less food insecure)
Disaster risk potential based on weighted scores 10 10
(Source: Agricultural Camp Officers, Ministry of Agriculture & Livestock, Monze)
Coupled to the same weighted magnitude of risk, Keemba was sampled on the basis
of having the highest number of agricultural development projects that were
implemented in the area. Nalutanda was selected based on having less projects that
were implemented as shown in (Table 5.2).
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Table 5.2: Camp sampling based on number of agricultural projects being implemented
Agricultural camps and
agricultural development
projects being implemented
Keemba Nalutanda
Number of Villages in 2010 23 12
Camp Demographics Actual Number of HH in 2010 1,161 723
Actual Population in 2010 8,126 4,438
Average hh size 7 6
FISP 1 1
FISRI 1
SLIP 1
Current agricultural Monze small holder dairy farming
development projects improvement project 1
operating in the two selected
camps WVZ Choongo ADP 1
Dunavant cotton 1 1
Alliance ginnery 1 1
Total projects 7 3
The outcome of the sampled camps and based on the criteria described above is
presented in (Table 5.3).
Table 5.3: Summary of agricultural camps sampled for the study
Name of Number of 2010 Actual 2010 Total Weight of all hazards
Agricultural Villages Number of Actual Number of that impacted the
Camp 2010 HH Population Projects camps in last 10 years(2002-12)
Keemba 23 1,161 8,126 7 10
Nalutanda 12 723 4,438 3 10
(Source: Agricultural Camp Officers, Ministry of Agriculture & Livestock, Monze)
5.2.2 Second stage stratified sampling
Second stage sampling involved random sampling of households from stratified
population within the camp. The households were grouped into three stratum:
wealthy, poor and leaders. Then these three strata were further categorised into five
sub-strata: wealthy adults; wealth youths; poor adults; poor youths and then leaders.
Thereafter each sub strata was again sub-categorised by gender to come up with ten
sub-strata. Finally, four households were then systematically and randomly selected
from each of the ten sub-strata per camp. Thus a sample of forty households were
planned and selected from each camp as depicted in the (Table 5.4).
76
Table 5.4: Second stage sampling plan
Keemba Nalutanda
Gender sub Gender sub
Strata strata strata Totals
Sub
Strata Male Female Male Female
Affluent Members of community
that had lived in the area for at Adults 4 4 4 4 16
least 10 years Youth 4 4 4 4 16
Poor headed households that had Adults 4 4 4 4 16
lived in the area for at least 10
years youth 4 4 4 4 16
Village headmen Adults 4 4 4 4 16
Totals 20 20 20 20 80
Actual sampling was done by first listing all the names of the households considered
wealthy, then those that were considered poor. There after these lists of names of the
wealthy and the poor were sub categorised by adults and youths and then by gender.
Names of heads of the villages were also listed separately and were not part of the
other categories of the wealthy, the poor, adults or the youth. Thereafter, a systematic
random sample was taken from these sub-strata or list of names but ensuring that
people coming from the same village and youth coming from the wealthy or poor
parents already picked were not sampled to avoid bias (Muyunga, Jayne & Burke,
2011:2). The village heads verified the status of each household that was sampled
during actual data collection. Any youths confirmed to have come from a wealthy or
poor parent that were already sampled in the study, were replaced with the next one
on the list of names already prepared.
The wealthy adults were first sampled and then poor adults before selecting the youth
and the leaders. The whole process of sampling clusters and households took about
six months to complete from March to August 2012. Forty households in each camp
were therefore sampled and canvassed but only data sets from 38 households from
Keemba and 36 households from Nalutanda were analysed and included in this study.
The other 2 from Keemba and the 4 households from Nalutanda were outliers and
excluded from the analysis of this study.
5.3 Results of how projects are designed: planner’s perspective
As already mentioned, apart from WVZ and the Monze small dairy farmers co-
operative, the head offices based in Lusaka planned all the other ten developmental
77
projects that were implemented in Monze. Implementation co-ordination was also
done from their head offices. Mr. Paul Nyambe, the Senior Agricultural Officer & Dr.
Phanuel Nyimba, District Veterinary Officer could not commit themselves to explain
how these projects were planned, by who and the models used. They however knew
about the technical aspects of the projects that were implemented in Monze based on
orientation meetings that they had attended and based on their day-to-day facilitation
of implementation processes (Personal Interviews, 7th November 2012).
Ms. Elina Kaonga Mubanga, the Monitoring and Evaluation Officer for the World
Vision Zambia Choongo Area Development Project (Choongo ADP) stated that
Choongo ADP was planned and designed by the local staff based in Monze with
technical assistance from their head office in Lusaka (Personal Interview, 6th
November 2012).
Choongo ADP commenced as an emergency drought rehabilitation project in 2003.
The rehabilitation project was later transformed into a fully fledged non-emergency
developmental project in 2007 after undertaking a series of preliminary assessments.
The current ADP project is therefore running for fifteen years but is reviewed every
five years to re chart the way forward. Choongo ADP focuses on five components: (i)
agricultural development, food security, marketing and community based disaster
preparedness planning facilitation, (ii) HIV//AIDS and Health, (iii) child sponsorship,
(iv) water and sanitation, and (v) educational support in general. The Choongo ADP is
thus holistic, integrated but not exclusively agricultural. However, DRR is treated as a
cross cutting issue but co-ordinated under the agricultural and food security project
component. Implying further that the focus of DRR is more associated with agro-
meteorological hazards of drought and floods that affect agricultural production.
Choongo ADP staff consulted and involved the targeted community members and
other district stakeholders when designing, implementing and monitoring their
developmental project. Choongo ADP staff also facilitated the formulation of the
community disaster preparedness plan in Keemba Agricultural Camp. Funding for the
overall Choongo ADP project was sourced from the World Vision Korea through the
WVZ national office. Annually Choongo ADP contributed one percent of its
administrative budget towards the WVZ National Emergency Relief Fund (NERF).
78
This fund was later used to support category one emergency response at community
level where ever WVZ operated in the whole country. Choongo ADP had good
initiatives to mainstream DRR to build resilience but the impact of these initiatives is
discussed from user perspective in (section 5.5.9.3).
5.4 Co-ordination of DRR activities at district level
Mr. Ngosa, the District Agricultural Co-ordinator (DACO) for Monze indicated that
the members of the District Disaster Management Committee (DDMC) were not sure
about whether all the existing public agricultural development projects in Monze had
mainstreamed DRR to enhance community resilience (Personal Interview, 10
September 2012). This was due to lack of access to respective project documents to
refer to. The committee did not have the authority to summon or compel any
implementing agency to mainstream DRR in their developmental projects.
Based on the finding in this study, it appeared to be very difficult for the DDMC to
supervise DRR activities without national policy guidelines on how to mainstream
DRR in developmental projects. The role of the local authority is very critical in
supervising DRR thus enhancing community resilience at a local municipality level
(Obrien, Bhatt, Saunders, Gaillard & Wisner, 2012:62).
5.5 Impact of project design and implementation on enhanced community
resilience: end user perspective
5.5.1 Enhanced human assets
The demographic characteristics for the sampled population are presented under
human assets of the sustainable livelihood model. The figures discussed are based on
(Table 5.5).
79
Table 5.5: Results on human assets
Average for
Variable Keemba Nalutanda the for  thetwo
communities
Female-headed HH (%) 37 31 34
Male-Headed HH (%) 63 69 66
Education level of HH head (%)
No formal education 13 0 7
Primary education 63 50 57
Secondary 24 50 36
Marital Status of HH head (%)
Single 13 0 7
Married 53 72 62
Divorced 8 8 8
Separated 0 0 0
Widowed 26 17 22
5.5.1.1 Demographic distribution by gender
The households interviewed comprised more male-headed households at 66%
compared to the female-headed households at 34%. This was not by design but due to
non-availability of female heads of villages found during actual data collection
against the original design to have equal representation by gender. The distribution by
gender in one community to the other was however close at 63% in Keemba and 69%
in Nalutanda respectively for male headed households. Female headed households
were 37% in Keemba and 31% Nalutanda. As such the two data sets were still
comparable for the purpose of assessing impact of projects on community resilience.
FAO (2005:18) and ZVAC (2002:14-23) has shown that women headed households
in Zambia only attain  two-thirds of male headed household production levels due to
lack of means to hire labour during critical times of weeding making them more
vulnerable. Female-headed households also have on average half the size of stock for
animals, eat less nutritious food and tend to have more orphans to take care of.
Hence, projects should ensure they balance the targeting of interventions to include
more women than male-headed households to enhance community resilience.
5.5.1.2 Demographic distribution by marriage
There were more married households interviewed in Nalutanda compared to Keemba
at 74% to 53% as can be seen in (Table 5.5). Keemba had 21 percentage points more
80
widows compared to Nalutanda among those interviewed. This finding may suggest
that there were many divorcees in Keemba, thus an indicator of social instability of
the community. Alternatively, this figure could also suggest many deaths of spouses
or even migration of the male folk to go and work in the sugar plantations in the
neighbouring Mazabuka district. Detailed reasons for the many widows in Keemba
were not established since this was not the scope for the study.
5.5.1.3 Education
All the households interviewed in Nalutanda had a minimum of primary education.
Thirteen percent of all the households’ interviewed in Keemba had no formal
education. Thus, this could have affected the quality of responses given in the two
camps but care was taken to simplify the questions as much as possible in the local
language.
5.5.1.4 Household family size
Household size of the respondents was parametrically distributed in both camps as
shown in (Figure 5.1). Both distribution patterns were also positively skewed and thus
compared very well (Leedy & Ormrod, 2005:256). Average household size was 8
members in Keemba and 10 members in Nalutanda.
Size of  households in Keemba and Nalutanda
30%
25%
20%
15%
10%
5%
0%
1 to 3 4 to 6 7 to 9 10 to 12 13 to 15 16 to 18 19 to 21 22 to 24 24 to 26 >26
Household size
Keemba Nalutanda
81
Respeondents in %
Figure 5.1: Household size in Keemba and Nalutanda
5.5.1.5 Age distribution of household heads
Average age for all respondents sampled was 49 years. This result showed that the
households had enough institutional memory based on their age to know what type of
capacity their communities had. No household was headed by a person aged below
twenty years as shown in (Figures 5.2a and b). The data sets collected in the two
camps were also comparable for the purpose of this study, based on this age
distribution pattern.
Respondents age distribution in Keemba Respondents age distribution in
Nalutanda
>20 years <20-29 <20-29
0% years >20 years years16% >70 years14% 0% 11%
>70 years 60 - 69
26% years6%
30-39 30-39
years years
60 - 21% 50-59
22%
69 40-49 years 40-49
years years 22%24% years5% 25%
50-59
years
8%
Figures 5.2: Age distribution of household heads in Keemba and Nalutanda
Based on the findings, one would say both populations in the sample were still in their
productive ages in general.
Age has an impact on the productive capacity of smallholder farmers (Kalinda et al,
2010:8). Age and productivity however are not the only parameters that define
community resilience and have to be analysed with other parameters to ascertain the
resilience of given community.
5.5.2 Livelihood sources & farming system
Major livelihood source for both communities was farming as illustrated in (Figure
5.3). Eighty-two percent of the respondents in Keemba practiced crop farming only
compared to 81% in Nalutanda that practiced mixed farming. In mixed farming,
respondents practiced both crop farming and rearing of animals. Charcoal burning
82
was more prominent in Keemba at 21% among the respondents compared to
Nalutanda at 3% as a livelihood source. Having a quarter of the respondents in
Keemba engaged in charcoal burning could be an indicator that the community
members did not raise enough income from crop farming, hence resorting to charcoal
burning.
This finding about the major sources of livelihoods in the two camps just confirms
what is already known, that 99 % of rural based households in Monze are farmers and
depend on agriculture and the natural environment for survival (GRZ, 2006a:4). The
findings also show that respondents engage in other activities such as piecework and
charcoal burning for survival in additional to agriculture. However whilst charcoal
burning is a livelihood source and helps the community diversify their income
sources, it is illegal and is a negative livelihood source environmentally. Charcoal
burning degrades the environment quickly and worsens vulnerability to
environmentally hazards.
Major and other sources of livelihoods in Keemba and Nalutanda
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
Crops Crops & Crops and Formal Piece work Beer Charcoal Other
farming dairy other contract brewing burning Specify
only farming livestock work only
farming
Keemba 82% 5% 26% 3% 8% 0% 21% 18%
Nalutanda 19% 0% 81% 0% 6% 0% 3% 3%
Keemba Nalutanda
Figure 5.3: Major livelihoods in Keemba and Nalutanda
83
Respeondents
5.5.3 Physical & natural assets
5.5.3.1 Access to land for crop farming
All respondents in both Keemba and Nalutanda had access to farmland to cultivate
food and cash crops as illustrated in (Figure 5.4). Sixty-six percent of the respondents
in Keemba owned the land they cultivated and stayed on, compared to 58% in
Nalutanda. Subsequently more respondents in Nalutanda at 42% did not own the land
they cultivated and stayed on compared to 34% in Keemba. According to the
respondents, agricultural productivity was not hampered by not owning the land they
cultivated and stayed on. Rather they reported during focussed group discussions
(FGD) that productivity was hampered due to inadequate access to fertiliser and
hybrid seeds.
Two types of statutes govern land tenure in Zambia: the customary land and; the
leasehold land tenure system. All the land under customary land tenure system is
owned by the local chiefs. All the land under the leasehold is owned by the
Republican President in perpetuity and only lend it to the user for a maximum of 99
years (GRZ 2010c:1). Land under customary land tenure system has no title and is not
recognised by the lending financial institutions. Thus small scale farmers that own
land under customary land tenure system rarely have access to formal credit due to
inadequate collateral in form of title deeds.
Contrary to Kajoba’s view (2009:8), the respondents did not regard the customary
land tenure system to be a problem to their subsistence farming. They considered
customary land as their inheritance and did not see why they should obtain title deeds
for it. The respondents’ other view was that they had enough access to land for crop
farming and to graze their animals communally under the customary land tenure. As
far as the communities were concerned the hindrance to increased productivity was
due to limited access to farming input and not access to land.
Indirectly, limited access to farm inputs is also an indicator that the communities are
heavily dependent on external supply of inputs to increase crop productivity. These
findings are in line with the fears alluded to by Kajoba (2008:78) that: small scale
farmers are heavily dependency on government subsidies for survival and; the
84
projects have created this dependency and the false impression that they can solve the
many developmental problems that respondents are faced with.
Ownership of  land for crop farming in Keemba and Nalutanda
70%
60%
50%
40%
30%
20%
10%
0%
Yes No
Keemba 66% 34%
Nalutanda 58% 42%
Figure 5.4: Ownership of land in Keemba and Nalutanda
5.5.3.2 Size of cropping farm plots
The size of farm plots for crop farming ranged from 0.1 hectares to more than 10
hectares among the people interviewed in both Keemba and Nalutanda. The utilised
parts of these plots were between 0.25 hectares to 3.5 hectares. The majority
cultivated only 0.5 hectares for maize or cotton.
This production level is very low and purely for basic survival. Such productivity
levels can not enhance resilience but help the households and community to meet
their basic day-to-day needs in a normal, non-emergency season.
85
Respeondents in %
Size of croping  plots accessed in Keemba & Nalutanda in 2012
45%
40%
35%
30%
No reponse
25% 0.1 - 2.5 ha
20% 2.6 - 5.0 ha
15% 5.1 - 10.0 ha
> 10.0 ha
10%
5%
0%
Keemba Nalutanda
Croping land in hectares
Figure 5.5: Size of farm plot size for respondents in Keemba and Nalutanda
5.5.3.3 Livestock numbers in Keemba and Nalutanda
As illustrated in (Table 5.6), respondents in Nalutanda had more heads of cattle, sheep
pigs and donkeys compared to Keemba.
These values for cattle were analysed for statistical significant and were found to be
significant at 96.6% confidence level of analysis. The null hypothesis for the analysis
was that the livestock numbers were close to one another in the two camps given the
same farming and livelihoods systems. The null hypothesis was rejected at p value =
0.034. Numbers of sheep and goats were also analysed for statistical significance and
the null hypothesis was rejected at p value =0.10.
Table 5.6: Livestock statistics in Keemba and Nalutanda
Total Beef
number of cattle Goats
household Dairy and &
Camp interviewed cattle oxen sheep Pigs Donkey Chickens Doves Other
Keemba 38 2 365 116 5 0 554 5 6
Nalutanda 36 0 1203 180 19 55 507 80 13
Total 74 2 1568 296 24 55 1061 85 19
86
Access in %
High numbers of cattle, sheep and goats in Nalutanda suggest that Nalutanda had
better potential for reserves in livestock form compared to Keemba despite Keemba
having more developmental projects that did not translate into wealth conversion or
stock.
5.5.3.4 How respondents acquired livestock
According to the findings using structured questionnaires, respondents in both
communities, acquired their livestock through own savings as illustrated in (Figure
5.6).
How acquired livestock in Keemba and Nalutanda
70%
60%
50%
40%
30%
20%
10%
0%
No response Given by Bought f rom Pass on f rom Inherited f rom Barter using
project as sof t own servings other project parents crops output
loan benef iciaries or other
means
Keemba 8% 0% 66% 3% 5% 18%
Nalutanda 14% 3% 53% 0% 31% 0%
Figure 5.6: How respondents acquired livestock in Keemba and Nalutanda
Respondents did not attribute these savings to have been made through current or past
agricultural development projects. They attributed this wealth creation, thus resilience
enhancement to their own traditional ways of life, trade of the same livestock and
other surpluses.
The focused group discussion (FGD) reviewed that both communities acquired
livestock especially cattle, which was of more economic importance in two major
87
Respondents in %
ways: purchases through income raised from crop sales and; payments in livestock-
kind. Payment in kind further involved five additional ways for acquiring livestock:
a) The first form of payment in kind involved a situation where someone was
engaged to herd cattle for another person for no cash payment but paid in kind
for every year or two worked. Such people would be paid one heifer after
completing the task agreed for every year or two worked.
b) The second form was when a relative or just other members of the community
felt pity for a poor relative and gave such a person heads of oxen or milking
cows to use for free and raise their own income through sale of milk or
cultivating other crops using the lent oxen.
Money raised by such a poor person would be used to buy their own (poor
person) livestock. The poor or vulnerable persons that were assisted in this
way were not expected to sell the original stock lent to them. Instead they
(poor) were expected to return the original livestock lent to them after use and
acquiring their own over a period of time. Hence, vulnerable people were
assisted indirectly with capital to buy their own cattle based on their being:
honest despite being poor; and having potential to be viable.
c) The third type for payment in kind was in form of dowry. This was paid to a
family that was marrying off their daughter. Such parents looked forward to
marrying off their daughters to receive the payment that ranged from 1 to even
20 heads of cattle per marry off. The number of cattle demanded was
dependent on many factors including education level of the daughter being
married off. Cliggett (2000:127) also documents this practice.
d) The other form of payment in kind was were a relative or rich person just
decided to give someone a head of cattle free of charge as start up capital
though this practice was very rare.
e) The fifth form of payment in cattle kind was a situation where livestock was
paid to settle disputes such as customary court charges for marriage
interference, in case were abusive language was used on someone and to pay
off for some skirmishes to cite a few examples.
88
The fact that Nalutanda had more livestock than Keemba, suggests that the social
form of passing on livestock to help one another was still in existence and was a good
sign of inherent community resilience.
5.5.3.5 Livestock trends
Views of the respondents in Keemba were that they had seen a marked increase in
their livestock numbers in the last ten years. Even though Nalutanda had more
livestock in relative terms compared to Keemba, the respondents in Nalutanda had
seen a decrease in their livestock numbers as illustrated in (Figure 5.7).
Livestock trend in Keemba and Nalutanda
45%
40%
35%
30%
25% No response
Increased
20%
Decreased
15% Static
10%
5%
0%
Keemba Nalutanda
Trend
Figure 5.7: Livestock trends in Keemba and Nalutanda
Respondents in Nalutanda, considered their livestock numbers to be decreasing due to
livestock diseases’ impact. This finding collaborates with Cliggett (2000:127) and
FAO (2005:18) that have viewed these communities in Monze to have prosperous
prior to the 1990’s. Poverty and vulnerability is considered to have started to increase
in part due to long-term effects of drought and livestock diseases.
More findings from the FGD are that the major outbreak of the corridor disease in
Monze was recorded in 1990 and that the major drought of 1992 worsened the death
toll of these animals reducing the population by half. This finding shows how
89
Respondents in %
communities can be vulnerable to hazards and how hazards can worsen their
vulnerability.
A long-term solution to this problem of livestock diseases would be to educate the
farmers to treat the livestock sub sector as a business to generate primary assets and
investing that money in other assets such as property in town that is not susceptible to
drought, flood or livestock disease impacts.
5.5.3.6 Attribution of the current livestock trend
Forty-two percent of the respondents in Nalutanda attributed the current decrease in
their livestock numbers to past and current devastating impacts of livestock diseases.
Livestock theft was another challenge in Nalutanda. On the other hand 50% of the
respondents in Keemba attributed the little increase recorded in their livestock
numbers due to exponential growth as illustrated in (Figure 5.8).
Attribute for livestock increase and decrease in Keemba and Nalutanda
50%
45%
40%
35%
30%
25%
20%
15%
10%
5%
0%
No response Own ef fort Normal High High Other
(hard work) livestock prevalence - incidences
multlication livestock stck thef t
disease
outbreaks
Keemba 8% 8% 50% 32% 0% 3%
Nalutanda 14% 6% 28% 42% 6% 6%
Figure 5.8: Reasons for livestock increases and decreases in Keemba and Nalutanda
90
Respondents in %
5.5.3.7 Access to other sources of physical assets
The respondents’ had access to other sources of physical assets apart from livestock
capital, access to grazing land for livestock and land for crop farming. Additional
access was to: (i) irrigation during normal dry season and during drought years, (ii)
income generation through market gardening; (iii) communal grazing land; (iv)
livestock dipping facilities in normal year and; (v) access to veterinary services during
times of adversity.
Nalutanda had superior access to all these other physical and natural resources
compared to Keemba, apart from adequacy of labour and access to veterinary services
during times of adversity. Analysing adequacy of labour against family size,
Nalutanda had larger family size but the households could comprise more children
than adults. The question to solicit this information was not properly framed as it did
not breakdown the inquiry on family size in different age groups. The researcher
overlooked a detailed analysis of labour adequacy against family size as an indirect
enhancer of community resilience.
91
Access to other physical assets in Keemba and Nalutanda
80%
70%
60%
50%
40%
30%
20%
10%
0%
adequate enough access to access to market enough enough access access
farm land labour irriga'n in irriga'n in gardenin grazing graz'g livestock vert
for crops normal drought g land land in deeping serv's
season season hazard normal drought /
year year f lood yr
Keemba 68% 29% 3% 0% 3% 24% 53% 53% 55%
Nalutanda 47% 31% 42% 28% 61% 56% 72% 75% 42%
Figure 5.9: Access to other physical and natural assets in Keemba and Nalutanda
5.5.3.8 Access to veterinary services during times of adversity
As illustrated in (Figure 5.9), respondents’ views in both agricultural camps were that
they had less access to veterinary services during times of adversity at 55 and 42% in
Keemba and Nalutanda respectively. This view was collaborated through focused
group discussions (FGD) and confirmed by Dr. Nyimba, the District Veterinary
Officer (Personal Interview, 29th October, 2012). This finding implied that, much as
the community could have had higher levels of physical assets in form of cattle, sheep
and goats for long term recovery, the quality of these assets could be compromised
during times of adversity, due to inadequate veterinary services.
Inadequate veterinary support during times of crisis is a clear indication that there is
little concern placed by authorities to support the most promising and inherent form of
physical asset for the marginalised people of Nalutanda. This brings the design,
92
Respondents in %
effectiveness and relevance of the livestock development projects being implemented
in Nalutanda into question. This finding is validated by the fact that the current
livestock disease prevention project, the Small Livestock Investment Project (SLIP)
just vaccinates against two major diseases: the contagious bovine pleura pneumonia
(CBPP) and theileriosis. Theileriosis is endemic in Monze and its two strains are
commonly known as East Coast Fever (ECF) and Corridor disease or ‘denkete’ in the
local language (Nambota, Samui, Sugimoto, Kakuta & Onuma 1994:1).
Other tick borne diseases that can affect animals like babesiosi, heart water and
anaplasmosis are not vaccinated against by the project because the current project
resources are considered not to be enough by the planners and the sponsors to be
extended to other diseases of less economic importance. Vaccinating the animals
against all these other diseases is the ideal strategy to enhance community resilience
but communities are expected to meet part of the other costs for vaccinating their
animals.
Further findings are that vaccination against ECF and Corridor disease is done by the
veterinary department twice in the year in April to May and September to October.
This is the period when most of the calves are dropped. The project targets calves that
are aged between 2 and 18 months. This vaccination strategy is aimed at boosting
immunity of these animals when young with the hope that these animals would retain
their immunity as they grow up.
From a vulnerability point of view, targeting only one disease by the project still
exposes the animals to other potential lethal tick and non-tick borne diseases such as
anthrax. Anthrax epidemics in Zambia are frequent in the dry season and are generally
associated with the onset of the first rains in October/November in the Western
Province of Zambia (Siamudaala, Bwalya, Munang’andu, Sinyangwe, Banda,
Mweene, Takada & Kida, 2006: 17). This is when grazing pasture is limited to the
Zambezi plains. Conditions in the dry season in the flood plains in Western Province
are similar to a drought season in the Kafue flats in Monze. Respondent take most of
their animals to graze in the Kafue flats during drought season. Without vaccinating
these animals against anthrax can prove fatal to the livestock population for Nalutanda
93
and Keemba in Monze during drought season thus affecting community resilience
negatively.
Properly designed projects should come up with a good sensitisation and education
programme to equip beneficiaries on how to market and manage their livestock during
times of crisis to avoid losing out when their animals lose condition. However, there
was no evidence that this type of orientation was being conducted by the livestock
developmental projects in both Nalutanda and Keemba neither was there evidence of
any restocking taking place. Neither were the study respondents aware of anyone in
their respective camps to have received livestock from SLIP under the restocking
component of the project. Ironically, none of the respondents in both camps even
knew about the existence of SLIP project let along its disease prevention efforts or
restocking.
Not knowing about SLIP was however possible because this project operated through
the veterinary department of agriculture. Whether this was a good strategy or not to
let the beneficiaries know about such a project directly was subject for further
discussion and not the scope of this study.
The Small Livestock Investment Project (SLIP) was just one project that was being
implemented. Project designers could argue that, projects’ failure to raise community
resilience in general should not be attributed to SLIP project alone, but an array of all
the other projects. SLIP is however discussed in much more detail because
respondents expected better veterinary support from government, implicitly SLIP
project. SLIP was also the larger of the two projects that were being implemented in
Monze that focused on livestock development. The other project was the Monze
Smallholder Dairy Promotion Project.
According to Dr. Nyimba, experts at national level designed the SLIP project. It was
therefore a top down designed and implemented livestock developmental project that
aimed at restocking in addition to preventing the two major livestock diseases in
Zambia (Personal Interview, 7th November 2012).
A preliminary follow up interview with the Mr. Mweemba, the Livestock
Developmental Officer for SLIP in Lusaka, confirmed that the component of
94
restocking was not implemented due to ‘poor’ project design. The component was
supposed to be implemented after prevalent diseases were eradicated. This component
had just been redesigned to be implemented even before the major diseases were now
completely eradicated (Personal Interview, 5th October, 2012).
5.5.4 Financial assets
5.5.4.1 Revenue from milk sales
Only 5.26% of the respondents in Keemba and 19.45% of the respondents in
Nalutanda generated income from sale of milk as illustrated in (Figure 5.10).
Households that milked, sold & generated income from sales in
2012 in Keemba and Nalutanda
100.00%
90.00%
80.00%
70.00%
60.00%
50.00%
40.00%
30.00%
20.00%
10.00%
0.00%
No Response Below K100,001 to
K100,000 500,000
Keemba 94.74% 2.63% 2.63%
Nalutanda 80.56% 5.56% 13.89%
Figure 5.10: Income generated by households through sale of milk
Close to 95% of the people canvassed in Keemba and 80.56% in Nalutanda did not
respond to this question suggesting that they did not have milking cows, or did not
milk their cattle at all, or they only had oxen for ploughing.
It is possible however that their beef cattle could have produced milk, but were not
milked for local consumption or for local sales. Again, this could be because some
livestock were kept far away from homesteads in the Kafue flats in communal grazing
lands. As such, this particular milk output resource was not captured in this study in
case it was available to herd’s men in the Kafue flats and not to the homesteads.
95
Respondents in %
The twenty percent respondents in Nalutanda and the other five percent in Keemba
generated between K100,001 and K500,000 unrebased Zambian kwacha per year
from sale of milk. This is approximately between US$20 and US$100 per year or
US$8 per month. This is not good money at any level, but can be helpful for sundry
expenses such as sugar, salt, matches, batteries for their lamps, soap and toothpaste.
This money can make a difference for day-to-day sundry expenses to the overall 81%
that owned cattle in Nalutanda and the 31% that owned cattle in Keemba respectively
(Figure 5.3), if at least one of their heads of beef cattle was a milking cow. This
should have been the focus of developmental projects to encourage people to milk
their heads of beef cattle as well. Projects should have also promoted good
supplementary feeding strategies and general management of local breads.
Unfortunately, there was no evidence that the current projects were promoting this
type of enterprise.
5.5.4.2 Attribution of increases in milk sales
The few respondents that generated income from milk sales attributed the very little
increase in milk outputs and sales to the prevailing demand for milk at community
level as illustrated in (Figure 5.11). Implying that the demand for milk was available,
that could be exploited. On the other hand, the decrease in milk sales was associated
with livestock diseases and stock theft. Again, this validated the reasons attributed to
the general decrease in general livestock levels in Nalutanda.
96
Community attribution to the Increase or Decrease in milk sales 2012 in
Keemba and Nalutanda
40
35
30
25
20
15
10
5
0
No Response High demand High High poor pasture
for milk and prevalence of incidences of due to
price livestock stock theft recurrent
incentives disease droughts
outbreaks
Keemba 36 1 1 0 0
Nalutanda 27 3 5 1 0
Figure 5.11: Reasons for increases and decreased milk sales
5.5.4.3 Other revenue from crops and livestock sales
Analysis of income generated from sales of livestock and crops in both camps per
capita gave a good picture of prevailing household income levels as illustrated in
(Table 5.7).
Crop revenue was computed from current crop outputs less quantities retained for
own food consumption, seed reserves, needs to meet other social obligations like
contributions to weeding ceremonies, church functions, traditional ceremonies and to
offset production cost. Thus, crop revenue was computed from sales of surpluses
from: maize, cotton, sweet potatoes and groundnuts. Livestock revenue was computed
from sales that the respondents reported to have sold in the last one year. These sales
for both crops and livestock were then aggregated within each of the two camps
canvassed.
The per capita income levels generated from aggregated sales of crops and livestock
per camp in 2012 were K358,187 unrebased Zambian kwacha for Keemba and
K385,331 for Nalutanda respectively. In US$ terms this was equivalent to $71.64 and
97
Respondents by headcount
$77.07 per capita per annum for Keemba and Nalutanda respectively. These figures
further translated into 20 and 21 cents of income per person per day in Keemba and
Nalutanda respectively. This income generated was net after taking care of the cost
for buying food cereal needs and cost for meeting other social obligations. The
income generated was supposed to meet costs for buying new stock of fertilisers,
meeting educational cost for their school-going children and to purchase other
essential commodities for day-to-day consumption. This same cash generated was
supposed to be used to meet needs for other essential goods that could not be
produced locally such as sugar, salt, soap, clothing and materials for lighting their
homes. The revenue generated per capital was very low by average Zambian and
international standards to alleviate poverty and later on meet other resilience
enhancement capacity.
All this income generated per capita was less than US$ 2 per person per day
confirming the fears by IFAD that people in rural areas in developing countries were
very poor (IFAD n.d:1). These findings also collaborated with Jayne et al (2011:1)
that the 2009/10 and 2010/11 bumper harvests did not translate into reduced poverty
for the small scale farmers that produced below one hectare of maize despite the
national bumper harvest. Neither did the bumper harvest translate into reduced
hunger. The national bumper harvest came from those that produced above one
hectare.
These figures clearly show that the poverty levels are still very high among the
respondents in Keemba and Nalutanda when measured by cash income, material
deprivation and other poverty measuring parameters. As such, economic resilience
ultimately community resilience is difficult to attain with such high poverty levels.
Through statistically insignificant, Nalutanda revenue figures were higher than
Keemba. Nalutanda figures were also higher despite the area having less agricultural
developmental support currently and in the immediate past. These findings suggested
that the many developmental projects had less influence in enhancing economic
resilience let alone reducing poverty in Keemba and enhancing community resilience.
98
Table 5.7: Per capita income generated from crops and livestock sales
Camps
Keemba Nalutanda
Attribute Revenue Revenue
generated Per capita generated Per capita
Per capita Per Per capita Per
from crop & income per from crop & income per
income capita income capita
livestock year livestock year
per year dollar per year dollar
sales (unrebased sales (unrebased
(US$) per day (US$) per day
(unrebased ZMK) (unrebased ZMK)
ZMK) ZMK)
Total number of
households interviewed 38 36
Total individuals from all
HH interviwed 294 367
Maize 11,157,120 37,949 7.59 0.02 12,086,880 32,934 6.59 0.02
Cotton 8,306,796 28,254 5.65 0.02 14,144,004 38,540 7.71 0.02
Ground Nuts 510,156 1,735 0.35 0.00 868,644 2,367 0.47 0.00
Sweet Potatoes 3,185,700 10,836 2.17 0.01 5,424,300 14,780 2.96 0.01
Crop Revenue 23,159,772 78,775 15.75 0.04 32,523,828 88,621 17.72 0.05
Cattle 75,658,500 257,342 51.47 0.14 100,291,500 273,274 54.65 0.15
Chickens 2,934,750 9,982 2.00 0.01 3,890,250 10,600 2.12 0.01
Goats/Sheep 2,663,850 9,061 1.81 0.00 3,531,150 9,622 1.92 0.01
Pigs 890,100 3,028 0.61 0.00 1,179,900 3,215 0.64 0.00
Livestock Revenue 82,147,200 279,412 55.88 0.15 108,892,800 296,711 59.34 0.16
Grandtotal income 105,306,972 358,187 71.64 0.20 141,416,628 385,331 77.07 0.21
5.5.4.4 Micro financing & access to credit
The question to inquire about community access to credit and micro financing was not
properly framed in the structured questionnaire.
The researcher tried to link micro financing and access to credit to increased coping
capacity to bounce forward after disaster. The researcher also tried to establish
whether the community would attribute their increased access to micro financing to
agricultural development projects’ support or not.
Secondly, the researcher tried to avoid a question that would give a yes or no answer.
This was done to avoid introducing bias. In Zambia, poor people respond in the
negative to questions that attempt to solicit their views on projects’ financial impacts
on their livelihoods. They answer in the negative to attract continued sympathy with
99
their poverty status. In the same vein, small scale farmers in Zambia have equally
associated loans to be grants (Wichern, Hausner & Chiwele, 1999:9). Hence, the
question on micro financing was indirectly framed to ask the community members as
to whether their access to credit had increased or not on a scale of: don’t know, not
changed, decreased, increased or not applicable to them.
The range of answers given could therefore not give a clear answer as to whether the
respondents had access to credit or not, let alone whether that access had increased or
not and whether the increase could be associated to developmental projects or not.
Ninety-five percent of the respondents in Keemba felt the question was not applicable
to them whilst 85% of the respondents in Nalutanda did not know the micro financing
concept at all. These answers could imply that the question was not clear or they did
not truly know the concept.
During the FGD, the respondents indicated that they did not have access to cash credit
or to micro financing to invest in farming. Pre-financed cotton growing and
subsidised inputs for maize growing were the only form of credit that the community
members knew about and had access to at community level. The other forms of credit
they knew about were animal restocking and livestock pass on from the Monze Small-
Scale Dairy Association but they did not have access to any of these.
5.5.5 Risk awareness as part of community resilience capacity
The analysis of risk was done to assess contribution of the existing developmental
projects at enhancing this capacity. Analysis of risk was incorporated in this study to
demonstrate that the communities are aware about prevailing risk in their
communities based on indigenous knowledge and that they can contribute to properly
design developmental projects if and when consulted.
5.5.5.1 Enhanced hazard awareness capacity
As illustrated in (Figure 5.12), both respondents in Keemba and Nalutanda were very
much aware of the prevalent hazards that affected their areas and livelihoods. The
most prominent hazard was drought as perceived by the communities at 97% and
100% in Keemba and Nalutanda respectively. The second prevalent hazard was the
floods at 95% and 94% in both Keemba and Nalutanda respectively.
100
Hazard awareness in Keemba and Nalutanda
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
Drought Floods Forest or Corridor Epidemics
Veld f ires disease HIV/AIDS &
Cholera
Keemba 97% 95% 0% 74% 45%
Nalutanda 100% 94% 6% 81% 72%
Figure 5.12: Hazard awareness capacity and most prominent hazard
Based on FGD findings in (Table 5.8), drought occurrence in 2003/04 corresponded
with community views documented in the east of Monze during the same period by
Mugabe et al, (2010:16). This finding demonstrated the consistency in the indigenous
knowledge the community had with hazard awareness. However there was no
evidence that this capacity was enhanced by existing developmental projects. It was
experiential.
Table 5.8: Disaster occurrence year based on focused group discussion
Camps
Hazard type Keemba Nalutanda
2001/02;
Drought 2003/04 2000 & 2002
Floods 2007/08 2007/08
Corridor disease 2010 & 11 Annually
Hazards and years of occurrence Cut / Army worm - 2011/12
New castle disease 2011 -
Locusts 2004/05 -
Large grain Borer 2007 -
101
Awareness in %
5.5.5.2 Perceived hazards of highest magnitude
The community were even aware of hazards considered the most dangerous in both
camps. Drought was considered the most dangerous followed by livestock diseases as
illustrated in (Figure 5.13). Despite being very widespread, floods were not
considered second most dangerous.
This finding clearly demonstrates that being widespread does not necessary translate
the hazard(s) into bigger disaster outcomes. Bigger disaster outcomes are dependent
on extent of damage, caused by the hazard(s) on vulnerable livelihoods (Wisner et al,
2004:50). This finding is also a confirmation of the theoretical suggestion for
practitioners to analyse hazard from perceptive of frequency, magnitude and
vulnerability impact and not just mere occurrence (Reed, 1997:10).
Perceived hazard of highest magnitude in Kemba and Nalutanda
80%
71%
70%
60%
50%
40% 33%
31% 28%
30% Keemba
18% Nalutanda
20%
11%
10% 6%
0% 0% 0%
0%
Drought Floods Forest or Corridor Epidemics
Veld fires disease such as
HIV/AIDS or
Cholera
Hazard Type
Figure 5.13: Perceived hazard of highest magnitude in Keemba and Nalutanda
5.5.5.3 Enhanced vulnerability awareness capacity
As illustrated in (figure 5.14), 95% of households interviewed in Keemba and 56%
percent in Nalutanda regarded the poor in their communities to be more at risk of
hazard impacts. The respondents perceived the poor to be more at risk due to their
102
Respeondents in %
inadequate means to cope with hazard impacts. Poverty was believed to compound
the social vulnerability of those already vulnerable. Again this finding confirmed what
others scholars have already found out that the poor tend to be more at risk than those
with unlimited access to resources (Wisner et al, 2004:50).
This view of the poor being more at risk was more reinforced in Keemba than in
Nalutanda even when Keemba was better serviced by developmental projects. This
view could suggest that there were more poor people in Keemba despite being
serviced by more projects. This finding would further suggest that the volume of the
support provided by the seven developmental projects in Keemba was also on the
lower side and that targeting was probably not well done as well. The other
implication was that the projects had low impact on alleviating poverty let alone
enhancing community resilience.
This finding also demonstrated that the community were aware of who was
vulnerable, how they were vulnerable and how they were affected by hazards. Based
on this indigenous knowledge, the community had inherent capacity to advise project
planners on how what project activities to embark on. The community also had
capacity to advise planners on how to target their support to the most needy to
optimise projects’ impact to enhance community resilience.
103
People perceived to be most affected by hazards in Keemba & Nalutanda
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
Poor people Aged Inf irm That live near I don't know
f loods plains
Keemba 95% 3% 0% 0% 3%
Nalutanda 56% 19% 6% 19% 0%
Figure 5.14: Type of people perceived more vulnerable by the respondents
5.5.5.4 Enhanced early warning capacity
As illustrated in (Figure 5.15), both communities had well developed early warning
mechanism. The most prominent mechanism was indigenous knowledge in form of
experience on hazard manifestation. As already reported during the demographic
characteristic, the average age was 49 years and all these respondents were sampled
on the basis of having stayed in the area for at least not less than ten years for the
study to have quality responses. As such the respondents had enough institutional
memory to know the type of hazards that manifested in their areas and how they
manage such hazards. Secondly, the respondents recognised weather programmes on
radio as another source of early warning information.
Based on the findings there was evidence that this aspect of community resilience was
well supported by the developmental projects through radio programming that
complemented indigenous knowledge. This initiative was in line with what de Leon
(2012:484) had recommended, that developmental practitioners should complement
104
Category perceived in %
local indigenous knowledge with external scientific early warning messages for the
former to be effective.
Future risk communication strategies in both Keemba and Nalutanda
Will be informed by agricultural  development
committee
Will be informed by the village developmental
committees
Will be informed by village heads
Will be infomed by agricultural extension of f icers
Monitor agricultural and weather programmes on
radio
Will use experience & monitor early warning signs
0% 20% 40% 60%
Respondents in %
Nalutanda Keemba
Figure 5.15: Future risk communication strategies
5.5.5.5 Attribution for increased risk awareness capacity
As illustrated in (Figure 5.16), respondents in both communities attributed their
increased knowledge in risk awareness levels to:
(i) a combination of personal experience or indigenous knowledge, and;
(ii) improved radio reception and programmes in risk information dissemination,
on all aspects of hazards. These radio programmes were not agricultural
developmental specific but general in developmental issues that included
agriculture. These radio programmes focused on hazards as part of day-to-
day, sector specific activities including agro meteorological information as
part of the national early warning system. Thus, these programmes
mainstreamed DRR in their programming unwittingly. Aspects of hazard
warnings intensified during the rainy season on issues of epidemics especially
cholera prevention. These programmes also discussed the need to plant early
to medium maturing crop varieties of maize. They also gave updates on
105
progression of the seasonal rainfall and other notices like the latest incidence
of army worms.
Allowing community radio station to broadcast appropriate information for the local
community is good as it provides a parallel dissemination and communication change
that ensures that people understand the message, which is crucial for response
preparation. Eventually this adds to the enhancing resilience in the long run (de Leon,
2012:484).
Community attribute for increased risk awareness in Keemba and Nalutanda
60%
50%
40%
30%
20%
10%
0%
Personal Improved Improved radio Current & past Effective
experience national & reception developmental project
community projects implmentation
radio
programmes
Keemba 55% 42% 3% 0% 0%
Nalutanda 47% 47% 6% 0% 0%
Figure 5.16: Community attribute for increased risk awareness capacity
5.5.6 Political assets as part of community cohesion
5.5.6.1 Community disaster preparedness plan & co-ordinating committees
As illustrated in (Figure 5.17), 97% percent of respondents in Keemba and 86% of the
respondents in Nalutanda were not aware of the existence of any disaster management
and mitigation committees in their communities.
106
Respondents in %
Awareness of community based disaster prevention, preparedness & responce
co-ordianting committee in Keemba & Nalutanda
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
Yes No
Keemba 3% 97%
Nalutanda 14% 86%
Figure 5.17: Awareness of presence of community disaster management and mitigation committees
Even the 14% of the respondents in Nalutanda that acknowledged knowing the
existence of such committees, were referring to other committees that were not
necessarily for disaster risk preparedness and response co-ordination. They referred to
sector specific developmental co-ordinating committees in health, agriculture and
local government to name a few.
This finding shows that the satellite committees as proposed in the Disaster
Management Act number 53 of 2010 of the law of Zambia are not formed yet at
community level to help co-ordinate risk reduction in Keemba and Nalutanda.
Given these findings, one would have the understanding that communities in Keemba
and Nalutanda do not yet have the capacity to demand for disaster risk reduction
focused type of developmental interventions from developmental service institutions.
The community does not even have a co-ordinated front for lobbying government or
other stakeholder for DRR focused developmental projects like in Bangladeshi
(Practical Action, 2011). There is no evidence that developmental projects have
attempted to build this DRR co-ordination capacity at community level either in
Keemba and Nalutanda.
107
Respondents in %
5.5.7 Coping response mechanisms
Respondents in both communities had similar coping mechanisms as illustrated in
(Figure 5.18). The coping mechanisms were physical, physiological, social and
economical. Of interest was the sale of livestock at relatively lower prices in Keemba
during times of adversity as a major coping mechanism compared to Nalutanda. Since
Keemba had many developmental projects, one would expect Keemba to have more
income and other assets and accumulation of capital compared to Nalutanda. As such,
one would further expect people in Keemba to have a wider base of assets and to fall
back on those assets to cope with adversity. The fact that they sale off their cattle at
very relatively lower prince is an indication in itself that they have less alternatives
hence easily panic to use the reserves in adversity. This is an indicator of being less
resilient compared to Nalutanda with fewer developmental projects.
Coping mechanisms in both Keemba and Nalutanda
1) Fall back on food reserves in cereal and seed backs
2) Request for NGO interventions
3) Request  government interventions with relief  provisions
4) Depend on  remittances f rom relatives in town
5) Look for piece work in town
6) Intensify batter system of  livestock for starch food stuffs
7) Reduce on number of  meals taken per day
8) Liquidate some house hold goods
9) Sale of  livestock at cheap price
10) Supplementary feeds for dairy animals
11) Provide pasture for diary animals (Sustaining milk…
12) Deeping animals against ticks (Livestock disease…
13) Relocate animals to Kafue f lats for better pasture
14) Relocate household goods to drier land (Floods…
0% 5% 10% 15% 20% 25% 30% 35% 40% 45%
Respondents in %
Nalutanda Keemba
Figure 5.18: Coping response mechanisms
108
5.5.8 Social assets as part of community cohesion
5.5.8.1 Community willingness to assist other vulnerable members
Eighty two percent of respondents in Keemba did not have an idea of how their
community assisted the most vulnerable during times of need. This is compared to
only 6% of the respondents in Nalutanda that did not know how their community
assisted the most vulnerable during times of adversity as illustrated in (Figure 5.19).
How community assist most vulnerable in Keemba and Nalutanda during
disaster impact
No Idea
Village head takes care of  the vulnerable
during drought years
External support given to them f irst
Assist them to reconstruct houses if
damaged by f loods
Help them evacuate f rom f loods
Donate food to them
0% 50% 100%
Respondents in Numbers
Nalutanda Keemba
Figure 5.19: How community assist the vulnerable to manage disaster outcomes
The large number of respondents in Keemba that did not know how their community
assisted one another during times of need is an indicator of less cohesion among
community members. Ideally, community members have an obligation to support
others vulnerable members in a more cohesive community. This is in addition to
having individual coping mechanism thus self-protection. Community cohesion is a
good indicator of community resilience (Centre for Community Enterprise, 2000:18).
Based on the findings, community members in Nalutanda were more supportive of
one another’s cause. They donated food to the most needy during times of adversity.
109
They also gave the most vulnerable people first priority to access externally donated
food aid. Nalutanda Community further assisted their most vulnerable to evacuate
from flood hazards, and assisted the vulnerable to reconstruct houses after flood
impact. The village heads assisted by taking care of the most needy during times of
drought in various ways as well.
Coupled with fewer widows, one would conclude that Nalutanda Community was
more cohesive as far as assisting the needy were concerned and was a more stable
community. This is despite it having fewer agricultural development projects. There
was no evidence however that agricultural development projects had contributed to
this cohesion.
Low voluntarism and coherence in Keemba could be explained by the lack of civic
commitment and the rise of individualism that is being exhibited in the world
currently especially in urban areas (Wilson, 1997:745). This is possible for Keemba
being closer to town than Nalutanda. However, this element was not researched fully
to be conclusive. It required a different methodology including cost surface analysis
to be conclusive.
5.5.9 Other findings from user perspective
5.5.9.1 Irrigation facilitation
Community members that participated in the focused group discussion did not know
of any irrigation developmental activities that were being facilitated by any project in
their respective areas, apart from the new initiated government irrigation scheme
project at Munyenze, north of Keemba area. This particular project was still under
development by the time of finalising this dissertation. Work on this particular
projects commenced in January 2012. The project was meant to benefit 100
households that lived near the dam and irrigation facility to irrigate their crops and
water their livestock.
The impact of the project on improved food security and later on livelihoods and
enhancing community resilience was yet to be seen among the would be beneficiaries
in the near future.
110
5.5.9.2 Communal cereal and seed banks
Through focused group discussions (FGD), the community members in both camps
did not know this concept. Ironically, the FGD meeting in Nalutanda was held at a
marketing / meeting centre that also housed a communal storage facility. This storage
facility was constructed by the Programme Against Malnutrition (PAM) NGO in 1994
as part of the communal cereal banking concept. It had capacity to store 2,000 x 50 kg
bags or 100 metric tonnes of maize grain.
There was no evidence that any of the current or immediate past agricultural
development projects in Nalutanda had oriented the community on the concept of
community cereal or seeds bank.
5.5.9.3 WVZ community disaster preparedness planning facilitation
World Vision Zambia (WVZ) Choongo Area Development Project (Choongo ADP)
facilitated this practice in Keemba only. Apparently, none of the respondents in
Keemba were aware about this concept that was facilitated by WVZ. This view was
confirmed and validated during focussed group discussion.  WVZ had facilitated this
exercise for five years so far since the inception of the Choongo ADP project in 2007
(Mr. Munkombwe, Developmental Facilitator, Agriculture & Food Security, 6th
November, 2012). As such, the study expected the respondents to be aware about this
plan, considering that it was revised every year. Furthermore, WVZ practiced the
bottom-up planning approach to plan their projects. Again none of the 38 participants
in the sample survey in Keemba nor those that attended the FGD in Keemba indicated
to have been involved or consulted by WVZ Choongo ADP planners when planning
the current project.
The FGD was not necessary convened to inquire about WVZ Choongo ADP in
particular; it was to discuss all the agricultural development projects that were being
implemented in Keemba in general. The question on WVZ facilitation arose due to
their annual facilitation for community disaster preparedness planning (CDPP).
5.6 Overall community perception of projects’ impact
Based on focused group discussions, most respondents appreciated the government
Farmer Input Support Project (FISP) as a poverty alleviation and food security project
because it provided them with an opportunity to participate and receive the subsidised
111
fertilisers. This finding was supported by the sample survey results as can be seen in
(Figure 5.20). Since the communities defined resilience from the perspective of
inadequacy means by individual households to meet daily food needs, coupled with
inadequacy means to meet other cash needs, the communities were of the view that
the FISP helped them to grow the maize crop for own food requirements and to sell
surplus to raise cash. Communities’ further views were that, this project also
guaranteed them a market and a good market price for their maize outputs, thus highly
regarded from this perspective. The problem with this project in their view however,
was that it provided limited support to individual households in terms of pack size.
The project only supported households to grow a quarter of a hectare of maize to be
used for both food and cash. Thus this project support, only guaranteed production of
close to one metric tonne of maize grain in a season that was only enough for
household food needs.
Agricultural developmental projects respondents benefited from in Keemba and
Nalutanda
1) Targeted FoodSecurityPack
2) Farmer Input Support Project
3) Agricultural Development Support Project
4) Small Livestock Investment Project
5) Small Agri Business Promotion Programme
6) Conservatiion Agriculture Scalling Project
7) Farmer Input Support Response Initiative Project
8) Adapting to Climate Variability & Change in…
9) Small Holder Dairy Farming Project
10) World Vision Chongo Area Development…
11) Dunavant Cotton
12) Alliance Ginnery
0% 10% 20% 30% 40% 50% 60%
Respondents in %
Nalutanda Keemba
Figure 5.20: Actual projects that respondents benefited from in Keemba and Nalutanda
112
5.7 Conclusion
This chapter presented the study findings and discussions. The findings were from
two perspectives: the planner and the user.
Since Keemba Community had more agricultural development projects, the study
assumed that this community had more resilient capacity compared to Nalutanda with
fewer developmental projects. This was with respect to all elements of community
resilience analysed in the study. In summary the findings and discussions are
tabulated below:
5.7.1 Six sustainable livelihoods assets analysed and discussed from end user
perceptive
 The quality of sustainable livelihoods assets and community risk governance
capacity in Keemba was not superior to that of Nalutanda contrary to the
expectation. Community members in Nalutanda had more livestock reserves than
in Keemba that had more developmental projects. Thus Nalutanda Community
members with less developmental projects had more reserves that could be used
for long term coping and recovery than in Keemba.
 Respondents in both communities had very low per capita income and reserves
implying that poverty levels were very high in both camps. This interesting
finding confirms what scholars have argued that poverty and vulnerability are not
the same concepts. Nalutanda community members are relatively, more resilient
compared to Keemba based on measures of community resilience, but are still
poor by analysis of poverty just like in Keemba.
 Respondents in both communities were not aware about the existence of
community disaster preparedness committees in their respective areas. Therefore,
these communities could be described as lacking capacity to demand for DRR
inclined developmental projects from the authorities.
 Respondents in both areas had good access to good radio reception and thus good
access to national early warning information systems on agro-meteorological, pest
infestation incidences and information on epidemic disease preventions.
 Despite having similar characteristics in many aspects of livelihood assets,
Nalutanda was better organised as far as response and community volunteerism
was concerned.
113
 Respondents in both communities did not associate their levels of resilience
capacity to the effect of the current or past projects but indigenous knowledge.
 Respondents in both camps were affected by similar hazards in the same years,
and both communities were very much aware of how vulnerability manifested and
how it could be addressed if consulted. The communities’ members were therefore
a good resource on their own to better guide project planning and targeting, but
were less involved in the whole planning process, implementation, monitoring and
evaluation.
 Respondents in both communities defined resilience as inadequate access to
adequate food and other basic needs for survival and ‘proper living’. They defined
resilience and vulnerability descriptively as they had no single word in the local
language to describe each of the two terms.
5.7.2 Effectiveness of project planning & implementation from planners’
perspective
 Ten out of twelve agricultural development projects were centrally planned in
Lusaka, apart from the WVZ Choongo Area Developmental Project (WVZ
Choongo ADP); and the Monze Smallholder Dairy Improvement Project.
 Subsequently all the other ten projects were planned using the top-down planning
approach.
 Implementation co-ordination of the other ten developmental projects was also
done at Lusaka, national level.
 The researcher did not access any of the twelve developmental projects’
documents for over a period of seven months. This was due to extended
bureaucratic procedures to obtain authority from respective implementing
organisations’ Directors.
 The District Disaster Management Committee (DDMC) was not very effective at
championing DRR mainstreaming issues into all developmental projects, as they
had no control or say on how these projects were designed and implemented at
national and local level. Since the projects were designed at national level, it
implied that superiors to line ministry’s district staff designed these projects.
Based on protocol, the district officers could not challenge their superiors from
head office on project planning and implementation.
114
 Even though the community did not attribute their inherent and enhanced
resilience to the current agricultural development projects, these projects could
have had an impact on enhancing basic survival, but basic survival was not
enough to afford the communities to bounce forward after disaster impact. The
communities needed more support even in terms of policy and ideological
pronouncement because the problems with the design process for these projects
were not just technical but ideological as well as policy oriented. Thus, the
problem was based on transforming structures in the sustainable livelihood model
(SL) model used to analyse resilience in this study.
 Based on the results of the study using the sample survey, it is further clear that
both communities had inherent resilience but that this resilience was ignored to
some extent by planners of centrally planned, designed and co-ordinated
developmental projects. These projects did not address community inherent
capacity to enhance community resilience in terms of communities’ major sources
of income.
 Technically, the projects did not promote critical activities such as irrigation
activities; real crop diversification; restocking nor micro financing; or cereal/seed
bank promotion that could help the communities enhance their livelihoods.
Neither did the projects help reorganise community based disaster risk reduction
co-ordinating committees. There was also no evidence that disaster risk
assessments were undertaken prior to projects’ design.
 The projects partly addressed the major sources of livelihoods, which was crop
farming and livestock rearing but still over emphasised and promoted crop maize
production for food as well as cash at expense of other critical livelihood sources.
 At macro level, the national budgetary allocation to subsidise maize production
and marketing was so high, but this support translated into very little packs for the
individual households to have impact to enhance community resilience.
115
CHAPTER 6
CONCLUSION AND RECOMMENDATIONS
6.1 Introduction
The previous chapter presented and discussed the research findings. This chapter
concludes the study, highlights the summary of contributions and makes suggestions
for further research.
6.2 Conclusion
The aim of this study was to analyse why social vulnerability among people at risk in
Monze was still high despite the prevailing many agricultural development projects
being implemented. Thus, the study analysed how agricultural development projects
were designed and implemented to enhance community resilience. The study also
assessed actual resilience of two communities and compared resilience of one of the
two communities that had many developmental projects implemented with another
that had less.
The overall study assumption was that the developmental projects did not effectively
contribute to increasing community resilience because the projects were poorly
designed and implemented. Poorly designed projects were those that did not
mainstream DRR into them to increase resilience over and above what already
prevailed in the two communities. To measure this hypothesis, the second assumption
was that community resilience levels in Keemba were more than in Nalutanda that
had fewer developmental projects.
In this way, the study attempted to discount poor project design and implementation
as not the cause of increased social vulnerability if Keemba Community, with more
developmental projects had more enhanced resilience compared to Nalutanda with
fewer developmental projects. However, if the resilience levels in Keemba that had
more developmental projects were lower or similar to that of Nalutanda, then the
projects had less impact at enhancing community resilience. If the later were the
findings, then the study would conclude that poor design and implementation could
have been the contribution factor for the projects not to have enhanced community
resilience.
116
Community resilience could not be measured directly but indirectly: by assessing
actual resilience capacity in a community; coupled with other project impact
assessment reports. Hence the adoption of the mixed methods approach to undertake
this study. The study therefore analysed proper project design, implementation and
subsequent project contribution to enhance community resilience from two
perspectives: the planner and the user. A sample survey research methodology was
therefore used to undertake the study from a user perspective to: (i) analyse proper
designing of projects and (ii) analyse contribution of the developmental projects
towards increased community resilience capacity in the two sampled communities in
Monze. Content analysis was also used to complement sample survey methodology to
analyse project documents from a planner’s perspective.
The summary of findings were that the community in Nalutanda camp with less
agricultural development projects being implemented in the area, had better resilience
capacity than Keemba that had more developmental projects. This finding implied
that the many agricultural development projects in Keemba had no much impact at
enhancing community resilience in the area. Low project impact to enhance
community resilience in Keemba could be associated with poor project planning and
implementation that did not address community resilience in full despite the increased
conceptual knowledge among developmental practitioners on how to mainstream
DRR.
In the final analysis, the developmental projects being implemented in Monze can be
described as not effective at enhancing community resilience among people at risk,
due to their poor design and implementation. These projects are therefore not very
relevant to enhancing community resilience in their current state. These projects need
to be relooked at if they are to be more relevant. Developmental practitioners need to
redesign these developmental projects by mainstreaming DRR in them if the projects
are to be more relevant to enhance community resilience.
The major weakness with the current projects from user perspective is that the
projects “promises too much but delivers so little”. The projects give very high
expectations to the people at risk to help address their low productivity problems
through increased productivity and thus increase their resilience. The people at risk
117
are actually on their own in terms of finding means of survival and to increase their
resilience but need to be informed through policy pronouncement to fend for
themselves and not depend on the projects for increased productivity and resilience.
Though controversial as it may sound, it would be better not to implement these
agricultural development projects in their current social welfare form, but to
commercialise them and make them demand driven.
6.3 Summary of contributions toward DRR policy debate in Zambia
From a user perspective, the study has shown that DRR is not yet fully incorporated
into non-emergency agricultural development projects in Monze. This can be
generalised for all other agricultural development projects being implemented in other
parts of Zambia except for projects that exclusively focus on DRR.
Based on the major limitation faced by this study, access to design, implementation,
monitoring and evaluation documents/reports for public agricultural development
projects’ is a challenge in Zambia. It is likely that this hindrance has made other
independent scholarly evaluation of existing developmental projects for DRR to be
very difficult.
6.4 Recommendations
 Agriculture still plays an important role in sustaining people’s livelihoods in
Monze and can still play a leading role in enhancing community resilience, but
developmental project planning and implementation process needs to be
streamlined in real sense to involve the community in a more practical way.
 Government should come up with guidelines on how agricultural development
projects should be designed to mainstream disaster risk reduction to benefit the
poor and socially vulnerable communities. The guidelines need not be very
detailed, but should provide outlines of the alternative frameworks preferred for
project planning in Zambia. If such guidelines exist, then they have not been
disseminated or publicised.
 The District Disaster Management Committees (DDMC) should be proactive at
constituting community satellite disaster management committees whose capacity
in DRR monitoring and lobbying should be enhanced as well.
118
 Government should develop policy guidelines on how the public can access
national or locally planned, and implemented agricultural development projects’
documents to review. The public should have the liberty to access these public
project documents without any restraint from the officers or planners or
implementers. This is so considering that these are public projects financed with
public funds. The public should have the liberty to study these developmental
project documents and make informed contribution on how to improve DRR
programming. Not all officers in public offices are experts in DRR. The officers
can therefore benefit from the expertise of private citizens and other stakeholders
that are not in government.
6.5 Suggestions for further research
A baseline study on community resilience has been done for Monze in these two
agricultural camps but in a non-disaster year. A longitudinal study of the sampled
households and communities can therefore be done in future to assess how these
households and communities would have responded to the actual disaster impacts vis-
a-vis their current resilience levels. This should be done to test their future resilience
against actual disaster impact and how their resilience could have improved by then.
Considering that farmers considered drought and livestock diseases as major hazards
that affected their livelihoods, a case study to document detailed impact of these
hazards on poverty and resilience can be done. Results from such a study could help
contribute to finding better ways of enhancing disaster resilience at community level
in Zambia.
119
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8. APPENDIX
Annex 1: Community Resilience Assessment Questionnaire
Questionnaire No: ___________
Thank you for your help and time for me to learn about how agricultural development
projects are designed and implemented by developmental practitioners, and how these
projects contribute towards disaster resilience building in your community.
This assessment is part of a study by the University of the Free State in Bloemfontein
South Africa pursuing academic research in Zambia to gain a better understanding
about agricultural development projects and disaster risk reduction in Monze District.
Anything that you say during this interview will remain confidential, and will be used
for research purposes only. This assessment may take a couple of hours to complete
and I would be so grateful to learn from you.
Date of Interview_____/____/2012               Name of Interviewer__________________________
PARTICIPANT BACKGROUND INFORMATION
Chiefdom Name of Agricultural Camp
Name of Village/Farm/Plot/Resident Year Established
Name of Respondent:                                                                 Relationship to Head of Household:
(Choose number from List)
1.Wife/Husband  2. Brother/Sister/ Cousin
Age of Respondent: Gender: 3.Son/Daughter   4.Nephew/Niece 5.Parent / Parent-in-
law / Uncle / Aunt   6.Grandchild   7. Household Head
Name of Household Head                                                                 Age of Household Head:
Gender:                       Marital Status: 1. Married 2.Divorced   3.Single 4.Widowed/widower
(Choose answer)
Family Size
Highest level of education 1. Primary         2.  Secondary            3. Tertiary
attended by head of
household? 4. No formal education attended
134
INCREASING COMMUNITY CAPACITY TO INCREASE SUSTAINABLE LIVELIHOODS
ASSETS
1. What type of Tick
livelihood sources
are members of Livelihood sources Yes No
the household
involved in? (Tick 1) Mixed farming Yes No
Yes or No)
2) Diary & Livestock Farming Yes No
3) Crop farming only Yes No
4) Formal contract work Yes No
5) Piece work Yes No
6) Beer brewing Yes No
7) Charcoal Burning Yes No
8) Other Specify Yes No
2. How many Livestock Number
livestock does
your household 1) Dairy cattle
have ?
2) Beef cattle and oxen
3) Goats & sheep
4) Pigs
5) Donkey
6) Chicken/Ducks/ Guinea Fowls
7) Doves
8) Other Specify:
3. What method 1) Given by project as soft loan
best describes
how you acquired 2) Bought from own servings
the livestock you
have? 3) Received as pass on from other project beneficiaries
4) Inherited from parents
5) Barter system using crops outputs or other means
135
4. How would you
rate your livestock
numbers in 1) Increased
general the last 10
years? 2) Decreased
3) Static
5. What do you 1) Own effort (hard work)
attribute your
answer in Q4 2) Good external support from Vet Dept & other agric projects
above to?
3) Normal livestock multiplication
4) High prevalence of livestock disease outbreaks
5) High incidences of stock theft
6) Other Specify
6. Does your 1) Yes
cattle produce any
milk for sale? 2) No
3) Not applicable - Don’t have any
7. How much 1 Below K100,000
revenue do you
make per year 2 K100,001 to 500,000
from sale of milk? 3 K500,001 to 1000,000
3 K1000,000 to 1,500,000
4 K1,500,001 to 2,000,0000
5 Above K2,000,000
8. How would you 1) Increasing
rate your income
from milk in the 2) Decreasing
last 10 years?
3) Static
9. If increased or 1) Good marketing arrangements through parmalat
decreased, what
would do you 2) High demand for milk and price incentives
attribute your
answer in 8 to? 3) High prevalence of livestock disease outbreaks
4) High incidences of stock theft
5) Lack of pasture and supplementary feeds during dry season
6) Poor pasture due to recurrent droughts
7 Lack of good demand for milk locally
8 Lack of refrigeration facilities
136
9 Declining quality of grazing lands
10 Other
10. Apart from 1) Field Crops sales
sale of milk, what
is the other major 2) Vegetable crop sales
source of cash
income for your 3) Livestock sales
household in a
year? 4) Petty trading
5) Contract work/Formal employment
6) Remittances
7) Pension
8) Social grants
9) Pension
10) Other Specify:
11) No source of cash income
11. Can you 1) Below K100,000
estimate how
much total income 2) 100,001 to 500,000
your household
makes per year 3) 500,001 to 1000,000
from the major
source mentioned 4) 1000,000 to 1,500,000
above?
5) 1,500,001 to 2,000,0000
6) Above 2,000,000
12. Do you own
the farm you are 1) Yes
staying on?
2) No
13. How big is
your land were 1) 0 – 2.5 ha
you can cultivate
crops? 2) 2.6 -5 ha
3) 5.1 – 10 ha
4 Above 10 ha
14. Is land on
your farm 1) Yes
adequate for your
field crop farming 2) No
activities?
15. Do you have
enough labour to 1) Yes
137
cultivate crops on 2) No
your farm?
16. Do you have
access to 1) Yes
irrigation facilities
during a normal 2) No
year?
17. Do you have
access to 1) Yes
irrigation during
drought year 2) No
18. Do you
practice market 1) Yes
gardening? 2) No
19. Do you have
enough grazing 1) Yes
land for your
animals in a non- 2) No
drought or flood
year?
20. Do you have
good access to 1) Yes
grazing land
during drought or 2) No
flood years?
21. Do you have
access to livestock 1) Yes
dipping facilities
drought and flood 2) No
years?
22. Do you have
access to 1) Yes
veterinary
services during 2) No
drought and
flooding seasons?
RISK AWARENESS CAPACITY
23. What type of
disasters have
affected your Types Disasters Yes No
household in the
last 20 years whilst 1) Drought Yes No
staying in this
area? (Tick all that 2) Floods Yes No
apply)
3) Forest or Veld fires Yes No
138
4) Shack fires Yes No
5) Corridor Disease Yes No
6) Road and other accidents Yes No
7) Epidemics such as HIV/AIDS or Cholera or Dysentery Yes No
8) Other: Specify Yes No
24. What caused .Tick
these disasters in
your view? 1) Corresponding hazards (poor rainfall, too much rainfall)
2) In adequate veterinary support services (inadequate dipping,inadequate vaccination)
3) Lack of livestock vaccination
4) Poverty
5) Low coping capacity / Low resilience
6) High exposure to hazards impacts
7. Other
1) Drought
25. Which one do
2) Floods
you consider most
the most 3) Forest fires
dangerous disaster 4) Shack fires
in your area?
5) Denkete (Corridor Disease )
6) Road and other accidents
7) Epidemics such as HIV/AIDS or Cholera or Dysentery
8) Other: Specify
26. Why do you 1) Affects many people
consider the
disaster above as 2) Impact last longer
the most
dangerous to your 3) Affects our most important source of food (livelihoods)
community?
4) Difficult to manage with own resources
5) Other Specify:
Tick
27. What 1) Food crop outputs / production
livelihoods are
mostly affected by 2) Cash crop outputs
these disasters in
your community? 3) Water for drinking
139
4) Pasture for animals
5) Milk production
6) Houses
7) Other Specify:
SOCIAL VULNERABILITY AWARENESS
28. Whom do you consider
the most exposed people to
these disasters in your 1 Poor people
community (Most
Vulnerable)? 2 Aged
3 Infirm
4 Those that live near flood plains
5 Those that live near mountainous places
9 I don’t know
29. How does the Tick
community assist the most
vulnerable during times of 1 Donations of food
adversity?
2 Help them evacuate from floods
3 Assist them to reconstruct houses if damaged by floods
4 Community gives them preference to be assisted first be
externally generated support
5 Village head men takes care of them during drought years
9 I don’t know
30. How do you rank
community willingness to
assistance the most 1) Increased
vulnerable now, compared
to five and ten years ago? 2) Decreased
3) Not increased (Static  or Same)
RESPONSE PREPAREDNESS CAPACITY (COMMUNITY EARLY WARNING & RISK
GOVERNANCE)
31. How will you be made aware
as a household and community
of any impending disasters next Yes No
year in case you have a drought,
flood or an outbreak of livestock 1 Will know about it through observations & Yes No
diseases for cattle? experience (indigenous knowledge)
2 Will monitor agricultural and weather Yes No
programmes on radio
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3 Informed by agricultural extension officers Yes No
4 Informed by the village headmen Yes No
5 Informed by the village/area  developmental Yes No
committees
6 Will be informed by the agricultural Yes No
developmental committee
1 Yes
32. Do you know of any
committee that co-ordinate 2 No
disaster preparedness, response
and recovery in your 9 I don’t know
community?
33. If yes to 32 what is it the
name of the committee called?
Tick
34. How does the committee 1 Through village head men
disseminate information about
impending disaster? 2 Through lead farmers
3 Through public meetings/gatherings
4 Through churches, schools and clinics
5 By publishing leaf lets
6 Through community radio
7 Other: Specify
Tick
35. How does the committee 1 Encouraging communities members to attend
help your community to prepare, public meetings to discuss developmental issues
prevent and respond to disasters? in general
2 Encourage crop diversification
3 Encourage food and seed savings
4 I don’t know
Tick
36. How does the committee 1 Though churches
mobilise the community to
respond to hazard? 2 Through schools
3 Through health centres
4 Other public gatherings specify:
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37. How do you rate your level 1 Increased
of knowledge about potential
occurrence of disasters of 2 Decreased
drought /flood /livestock
diseases and HIV now compared 3 Not increased (Static  or Same)
to five years ago?
38. What do you attribute your 1 Personal experience Yes No
answer in 37 to? 2 Improved national & community radio Yes No
programmes
3 Improved radio reception Yes No
4 Improved telecommunication Yes No
5 Current and past developmental projects Yes No
5 Effective developmental programmes and Yes No
projects implementation (Give examples if it is
5)
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COPING  CAPACITY – (USE OF INDIGENOUS KNOWLEDGE & ASSETS TO COPE)
39. In future how Physically
will you respond
to drought, flood 1 Relocate household goods to drier land (In case of flood) Yes No
and disease
outbreak using 2 Relocate animals to Kafue flats where there is better pasture Yes No
own resources in (in case of drought)
case any of these
occurs next year? 3 Dipping animals against ticks (Livestock disease prevention) Yes No
4 Provide pasture for diary animals (Sustaining milkproduction) Yes No
5 Provide supplementary feeds for dairy animals (this is alsodone in normal years however) Yes No
Economically
6 Sale of livestock at cheap price to meet urgent cash needs Yes No
7 Liquidate some house hold goods such as: Specify .... Yes No
8 Reduce on number of meals taken per day Yes No
9 Intensify barter system of livestock for starch food stuffs Yes No
Socially
10 Send other family members to go and look for piece work intown Yes No
11 Depend on cash and food remittances from relatives in town Yes No
Politically
12 Request for government interventions with relief provisions Yes No
13 Request for NGO interventions Yes No
Environmentally/Ecologically/Health
14 Fall back on food reserves in cereal and seed backs Yes No
(Tick)
40. How do you Increased Decreased Static Don’t N/A
rate your recovery Know
and response Concept
capacity now in
terms of assets 1 Cereal Banks
and knowledge
compared to the 2 Seed banks
past?
3 Micro financing
4 Community
mobilisation to
lobby for external
143
support
5 Social safety net
projects
ADDITIONAL LIVELIHOOD CAPACITY ASSESSMENT QUESTIONS
41. Estimate field crop production & reserves from this past season?
Year and Crop Area Quantity Quantity Estimated Quantity Quantity
cultivated harvested sold selling stored in stored  seed
2011/12 (immediate in Limas (in Kg) price cereal bank
past growing season) bank (in
Kg)
Maize
Groundnuts
Cotton
Soyabeans
Sweet potatoes
Cassava
Cowpeas/Beans
Sunflower
Paprica
Luyuni
Sugarcane
Soil Fertility
Improvement crops:
Specify
42. How do you
plan to use the 1 Sell them during times of stress
reserves?
2 Use the reserves for food
3 Use the reserves to pay for other social family obligations
4 Use the reserves for barter systems of payment
5 Use the reserves to pay for labour during the rainy season
6 Other
43. Estimate field crop production & reserves from the other year/ season?
144
Year and Crop Area Quantity Quantity Estimated Quantity Quantity
cultivated in harvested sold selling price stored in stored
2010/11 (Other Limas (in Kg) cereal bank seed bank
past season) (in Kg)
Maize
Groundnuts
Cotton
Soyabeans
Sweet potatoes
Cassava
Cowpeas/Beans
Sunflower
Paprica
Luyuni
Sugarcane
Soil Fertility
Improvement
crops: Specify
(Tick)
44. How did you 1 Sold them during this season after harvesting this years crop
use the reserves
from the other 2 Used the reserves for food
season
3 Used the reserves for barter systems of payment
4 Used the serves to pay for labour during the rainy season
5 Did not use the/were destroyed by fire, post harvest pests, /stolen
6 Used the reserves to pay for other social family obligations
7 Other
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45. How many Number Estimated Total Revenue (to
livestock have you Livestock type sold last selling be computed by
sod in the last 12 one year price Interviewer later)
months?
1 Cattle
2 Goats
3 Pigs
4 Chickens/Ducks
5 Other specify
AGRIC PROJECTS OPERATING IN STUDY AREA
46. List the agricultural development projects that are operating in your area that you know?
Sn Project Title Tick
1 Targeted Food Security Pack Project (FSP)
2 Farmer Input Support Project (FISP)
3 Agricultural Development Support Programme -Small Holder Commercialisation(ADSP-SC)
4 Small Livestock Investment Project (SLIP)
5 Small Agribusiness Promotion programme (SAPP)
6 Conservation Agriculture Scaling up for Increased Productivity and Production (CASPP)
7 Farmer Input support Response Imitative Project (FISRI)
8 Adapting to the Effects of Climate Variability and Change in Agro-ecological  I&II
9 Small Holder Dairy Farming Improvement Project (Monze Dairy Farmers Co-operativeOrganization Project)
10 World Vision Chongo Area Developmental Projects
11 Dunavant cotton
12 Alliance Ginnery
13 Other
47. Which project are you benefiting from ?
Sn Project Title Tick
1 Targeted Food Security Pack Project (FSP)
2 Farmer Input Support Project (FISP)
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3 Agricultural Development Support Programme -Small Holder Commercialisation(ADSP-SC)
4 Small Livestock Investment Project (SLIP)
5 Small Agribusiness Promotion programme (SAPP)
6 Conservation Agriculture Scaling up for Increased Productivity and Production (CASPP)
7 Farmer Input support Response Imitative Project (FISRI)
8 Adapting to the Effects of Climate Variability and Change in Agro-ecological  I&II
9 Small Holder Dairy Farming Improvement Project (Monze Dairy Farmers Co-operativeOrganization Project)
10 World Vision Chongo Area Developmental Projects
11 Dunavant cotton
12 Alliance Ginnery
13 Other
48. What type of support are you receiving as household from these projects?
Sn Project Title NYes o
1 Seed provision (subsidy/soft loan)
2 Fertiliser (subsidy/soft loan)
3 Agricultural chemicals subsidy
4 Market facilitation
5 Conservation farming technology including crop diversification (climate changeadaptation)
6 Diary animals loans
7 Communal bovine dipping support
8 Hazards awareness training skill
Vulnerability and own capacity analysis skills
9 Rainwater harvesting skills training
10 Training on how manage actual crop outputs and income generated from sales ofboth livestock and crops beyond one year
11 Community mobilisation during times of crisis
12 How to manage human livestock conflict
13 Other (specify)
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49. Are you happy with the
support you have been
receiving from the 1) Yes
agricultural developmental 2) No
support project(s) alluded to
in question 47?
50. If the answer is NO to ___________________________________________________
question 49, give reasons
___________________________________________________
51. How would you like ___________________________________________________
these projects to be
improved? ___________________________________________________
52. Do you remember being
consulted when developing
any of these projects? 1) Yes
2) No
53. If YES to Q52, which
projects were you consulted
when being designed?
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Annex 2 Focused Group Discussion Questions
Group A
1. How do you define resilience in your area/community?
2. How can you tell that a given household is resilient against disaster in your
area?
3. How do you describe your community’s resilience? Is it resilient against
disaster? If it is resilient, why do you say so? If not resilient, why do you say
so?
4. How did you manage disasters as households and the community in the past?
5. How do you manage the disasters as households and the community currently?
6. Would you describe the current ways of managing disasters to have improved
or not, compared to how you used to manage the disasters in the past?
7. What do you attribute the current ways of managing disasters to?
8. At what stage would you require the government to provide external support
when you are befallen by a disaster?
Group B
1. How many agricultural developmental projects are currently operating your
area?
2. Who designed these projects?
3. Which one is the best project in your view and why?
4. As a community, which project(s) helps you to build your resilience?
5. How would you like the other projects to be improved?
149
Annex 3 Computation for Multi Hazard Weighting Index
Worst affected areas by
Worst  affected camp by last floods hazards Most bovine  disease Camp with Highest Agricultural camp with
dry spells in 2011/12 experienced (Ranking affected camp (Ranking HIV/AIDS prevalence most poor households  hh
Most food insecure area
this agricultural marketing
Sn for Sn for growing season values were: 3 for worst values: 3 for worst cases  (Ranking values
(Ranking values were: 3 season 2012/13 by
Agric Name of Agric Name of Agric (Ranking values were: 3 affected; 2 for Moderately affected; 2 Moderately were: 3 for worst affected;
with most poor hh; 2 with (Ranking values: 3 was for Weighted
Block Block Camp Camp for worst affected; 2 for affected; 1 for lowly affected; 1  lowly affected; 2 for Moderately affected;
moderate levels of poverty the worst food insecure; 2 Risk
Moderately affected; 1 for affected; 0 for not 0 for not affected) 1 for lowly affected; 0 for for most hh in the camp; 1was for low numbers of was for moderately foodlowly affected; 0 for not affected) (last flood season (Current) not affected) (Current
affected) was in 2007/08 growing 2012 prevalent rates) poor households in the
insecure; 1 was for less
camp) food insecure)season)
1 Katimba 1 3 2 0 2 2 10
2 Bbombo 2 2 2 2 2 10
1 MonzeSouth 3 Siatontola 3 2 3 0 3 2 13
4 Sikalinda 3 3 2 3 2 13
5 Kazungula 0
6 Kayuni 2 2 1 2 2 2 11
Monze
2 State 7 Kaumuzya 3 1 2 2 2 2 12
land 8 Malende 1 2 2 2 7
9 Sililwi 2 1 1 1 2 2 9
10 Hamapande 2 1 2 2 2 1 10
11 Hufwa 2 2 2 2 2 10
12 Siakansenke 1 0 1 2 2 6
3 MonzeCentral 13 Manungu A 2 1 1 2 2 8
14 Manungu B 2 1 1 2 1 7
15 Simwendengwe 2 0 1 2 2 7
16 Monze Urban 1 1 1 2 1 6
17 Kaumba 0 0 0 1 1 1 3
18 Lweeta 2 0 2 2 2 8
19 Mujika 2 3 1 1 2 2 11
20 Namateba 2 2 3 1 2 2 12
4 Monze 21 Njola 0 1 1East 22 Namakube 0 1 1
23 Chiyobola 1 3 1 2 2 2 11
24 Chisuwo 1 1 1 1 2 2 8
25 Ntambo 0 0 0
26 Moomba 0 0 0
5 Monze 27 Hamusakwa 2 1 1 2 2 2 10North 28 Nteme 3 1 1 2 3 3 13
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29 Keembe 2 0 2 2 2 2 10
30 Banakaila 3 1 1 2 3 10
31 Bweengwa 3 2 1 2 2 10
32 Chuungu 3 2 1 2 2 2 12
33 Malundu 3 2 1 1 2 2 11
34 Naluntanda 2 1 1 2 2 2 10
Total 5 Bocks 34 Camps 0
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Annex 4. All agricultural camps in Monze and respective current agricultural developmental projects operational 2000 to 2012
Adaptin
Number Food g to SmallSn for Name Sn for Name of Agric of Security effects Agribusiness
Small Holder
Agric of Agric Camp Villages FISP Pack
ADSP-
SC SLIP of CASPP Promotion FISRI
Dairy WVI Chongo Dunavant Alliance
Block Block Camp (MCDM climate programme Farming ADP Cotton Ginnery
Weight
2010 CH) change (SAPP) Improvement
FAO
1 Katimba 26 1 0 1 0 2
2 Bbombo 20 1 1 1 3
1 MonzeSouth 3 Siatontola 33 1 1 1 1 4
4 Sikalinda 13 1 1 2
5 Kazungula 3 1 1 2
6 Kayuni 18 1 1 2
Monze
2 State 7 Kaumuzya 21 1 1 2
land 8 Malende 3 1 1 1 3
9 Sililwi 21 1 1 2
10 Hamapande 26 1 1 2
11 Hufwa 17 1 1 2
12 Siakansenke 19 1 1 1 3
3 MonzeCentral 13 Manungu A 16 1 1 1 3
14 Manungu B 11 1 1 2
15 Simwendengwe 14 1 1 1 3
16 Monze Urban 0 1 1 0 2
17 Kaumba 16 1 1 2
18 Lweeta 13 1 1 2
19 Mujika 17 1 1 1 3
20 Namateba 40 1 0 1
4 Monze 21 Njola 52 1 1 1 3East 22 Namakube 19 1 1 1 1 4
23 Chiyobola 34 1 1 1 3
24 Chisuwo 23 1 1 2
25 Ntambo 20 1 1 2
26 Moomba 0 0 0 0
5 Monze 27 Hamusakwa 14 1 1 0 2North 28 Nteme 18 1 1 1 1 1 5
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29 Keemba 23 1 1 1 1 1 1 1 7
30 Banakaila 22 1 1 0 1 3
31 Bweengwa 16 1 1 1 3
32 Chuungu 21 1 1 1 3
33 Malundu 32 1 1 0 2
34 Naluntanda 12 1 0 1 1 3
Total 34 Camps 665 0
153
Annex 5 Introductory letter from University of the Free State
154
Annex 6 Introductory letter from disaster management and mitigation unit,
Zambia
155
156