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An Empirical Analysis Of The Determinants Of Poverty And Household Welfare In South Africa

Author

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  • Mduduzi Biyase
  • Talent Zwane

    (University of Johannesburg, South Africa)

Abstract

Although South Africa is regarded as Africa’s second largest economy, (also ranked as an upper-middle-income economy), the incidence of poverty remains stubbornly high by the standard of other similar countries. Using a baseline poverty line of R450 per capita per month, Tregenna (2012) found a poverty incidence of 52.45% (using expenditure) and 49.56% (using income) in 2006. Employing the National Income Dynamics Study (NIDS) dataset and an appropriate poverty line, Biyase (2014) obtained estimates of 46% for 2008 consistent with those of Finn (2013). This paper contributes to the literature by using data drawn from the first four waves of the National Income Dynamic Study to determine the factors that influence poverty and household welfare in South Africa. Contrary to most existing studies in this field, which have applied ordinary least squares and probit/logit models on cross-sectional data, this analysis attempts to capture unobserved individual heterogeneity and endogeneity, both via fixed effect, and via a robust alternative based on random effect probit estimation. The results from fixed effect and random effect probit indicate that levels of education of the household head, some province dummies, race of the household head, dependency ratio, gender of the household head, employment status of the household head and marital status of the household head are statistically significant determinants of household welfare. Specifically, we found that compared to traditional rural areas (used as reference category), households living in urban and farms are less likely to be poverty stricken and that the probability of being poor for households in the Eastern Cape, KwaZulu-Natal, Northern Cape provinces/regions, is significantly higher than Western Cape province/region. Moreover, we found that, educational levels (primary, secondary, matric and tertiary) of the household head reduce the probability of being poor. These results suggest that investing in education and improving the economic conditions of the rural dwellers (traditional rural areas) should continue to be a major focus of poverty alleviation efforts in South Africa.

Suggested Citation

  • Mduduzi Biyase & Talent Zwane, 2018. "An Empirical Analysis Of The Determinants Of Poverty And Household Welfare In South Africa," Journal of Developing Areas, Tennessee State University, College of Business, vol. 52(1), pages 115-130, January-M.
  • Handle: RePEc:jda:journl:vol.52:year:2018:issue1:pp:115-130
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    2. Mojo, D. & Oduor, A.M.O. & Fu, C. & Bai, Y. & Long, H. & Wang, G. & Zhang, L., 2018. "The effects of protected areas on the welfare of local communities: the case of Maasai Mara National Reserve in Kenya," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276956, International Association of Agricultural Economists.
    3. Popoola, G. O. & Popoola, O. A., 2023. "Food security transition among agricultural households in Nigeria," 2023 Seventh AAAE/60th AEASA Conference, September 18-21, 2023, Durban, South Africa 364839, African Association of Agricultural Economists (AAAE).
    4. Ehsan, S.M. Asif & Bhuiyan, Mazharul Hoque & Rahman, Mashnur & Rahman Sayeef, Md Saifur & Ferdausi, Marufa & Alam, Md Sajadul & Chowdhury, Abdul Hannan & Jakariya, Md., 2025. "The determinants of multidimensional poverty in the urban slums of Dhaka city," World Development Perspectives, Elsevier, vol. 39(C).
    5. Calvin Mudzingiri & Gibson Mudiriza & Getrude Jana & Regret Sunge, 2024. "The effect of local climatic conditions on household consumption: a case study of South Africa," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.
    6. Susana HERRERO-OLARTE & Mateo LOAIZA, 2021. "Structural Or Conjunctural Changes To Reduce Poverty In Ecuador?," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 21(2), pages 19-36.
    7. Abdul Latif Alhassan & Noluyolo Magazi, 2021. "Microinsurance and household asset welfare in South Africa," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(3), pages 358-382, July.
    8. Biyase, Mduduzi, 2018. "Assessing the impact of social grants on household welfare using morning after simulation and PSM approach," MPRA Paper 84477, University Library of Munich, Germany.
    9. Megbowon Ebenezer Toyin, 2018. "Multidimensional Poverty Analysis of Urban and Rural Households in South Africa," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, vol. 63(1), pages 3-19, April.
    10. Chang, Qing & Ma, Wanglin & Vatsa, Puneet & Li, Jian, 2022. "Has the Targeted Poverty Alleviation program improved household welfare in rural China?," Journal of Policy Modeling, Elsevier, vol. 44(5), pages 1041-1056.
    11. Mbulaheni Albert Dagume, 2021. "Factors Influencing Poverty in South Africa: Time Series Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 11(5), pages 86-95.
    12. L'Roe, Jessica & Detoeuf, Diane & Wieland, Michelle & Ikati, Bernard & Enduyi Kimuha, Moïse & Sandrin, François & Angauko Sukari, Odette & Nzale Nkumu, Junior & Kretser, Heidi E. & Wilkie, David, 2023. "Large-scale monitoring in the DRC’s Ituri forest with a locally informed multidimensional well-being index," World Development, Elsevier, vol. 169(C).
    13. Mst. Asma Khatun & Farjana Misu & Mohammad Amirul Islam & Sheikh Mohammad Sayem, 2022. "Relationship between Poverty and Food Security: Empirical Evidence from the Enclave Area of Rural Bangladesh," Indian Journal of Human Development, , vol. 16(3), pages 448-467, December.
    14. Santos Bila & Mduduzi Biyase, 2022. "Determinants of Subjective Poverty in Rural and Urban Areas of South Africa," Economics Working Papers edwrg-02-2022, College of Business and Economics, University of Johannesburg, South Africa, revised 2022.
    15. repec:aif:report:v:11:y:2026:i:1:p:143-162 is not listed on IDEAS
    16. Lilik Sugiharti & Miguel Angel Esquivias & Mohd Shahidan Shaari & Ari Dwi Jayanti & Abdul Rahim Ridzuan, 2023. "Indonesia’s poverty puzzle: Chronic vs. transient poverty dynamics," Cogent Economics & Finance, Taylor & Francis Journals, vol. 11(2), pages 2267927-226, October.
    17. Jorge Garza-Rodriguez & Gustavo A. Ayala-Diaz & Gerardo G. Coronado-Saucedo & Eugenio G. Garza-Garza & Oscar Ovando-Martinez, 2021. "Determinants of Poverty in Mexico: A Quantile Regression Analysis," Economies, MDPI, vol. 9(2), pages 1-24, April.
    18. Pécastaing, Nicolas & Dávalos, Jorge & Inga, Andy, 2018. "The effect of Peru's CDM investments on households’ welfare: An econometric approach," Energy Policy, Elsevier, vol. 123(C), pages 198-207.

    More about this item

    Keywords

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    JEL classification:

    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy

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