• Login
    View Item 
    •   KovsieScholar Home
    • Natural and Agricultural Sciences
    • Centre for Environmental Management
    • Research Articles (Centre for Environmental Management)
    • View Item
    •   KovsieScholar Home
    • Natural and Agricultural Sciences
    • Centre for Environmental Management
    • Research Articles (Centre for Environmental Management)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    With the continuing increase in Sub-Saharan African countries, will Sustainable Development Goal 1 ever be achieved by 2030?

    Thumbnail
    View/Open
    Atangana_Continuing_2022.pdf (1.066Mb)
    Date
    2022
    Author
    Atangana, Ernestine
    Metadata
    Show full item record
    Abstract
    The poor in Sub-Saharan Africa (SSA) are in a worse predicament than their counterparts in other regions. The goal of this study was to establish the key drivers of poverty in SSA by looking at how economic variables affect growth and poverty. Data from ten SSA nations—upper-middle-income countries (UMIC), lower-middle-income countries (LMIC), and low-income countries (LIC)—were analyzed based on historical values from 2015 to 2019. From the six economic variables studied, the best model reveals that 78% of the differences in poverty can be accounted for using a methodical, statistical approach. Poverty and unemployment rates have a substantial positive relationship (p = 0.001662). The gross domestic product (GDP) growth rate and poverty have a slight link, which is significant at the 10% level (p = 0.067) but is not a significant contributor to poverty alleviation. The secondary school enrolment rate has no bearing on poverty variation (p = 0.33). Increased GDP does not necessarily correspond to poverty reduction. Unemployment, on the other hand, is a major contributor to poverty in the region. Moreover, education (secondary school ennoblement) plays a less important role in reducing poverty, whereas per capita personal consumer spending and GDP growth rate have a bigger impact on poverty reduction. The proposed theoretical and numerical model works on general indicators and trends; it does not guarantee that people in the UMIC, LMIC, and LIC countries may not fall below the international poverty line ($1.90 per day). The poverty rates are predicted to climb by more than 2% by 2030, postponing poverty elimination in the SSA region by almost five years. This signifies that more than half of the SSA population will remain poor.
    URI
    http://hdl.handle.net/11660/12091
    Collections
    • Research Articles (Centre for Environmental Management)

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
     

     

    Browse

    All of KovsieScholarCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback