Poverty dynamics and vulnerability to poverty: An empirical analysis using general household surveys

Priviledge Chetenia, Yohane Khamfula, Gisele Mah


Background: This study analysed determinants of vulnerability to poverty in South Africa utilising the General Household Surveys from 2012 to 2015.

Data source and methods: The Foster Greere Thorbecke poverty index by groups and income components using the Shapley Value was used to identify household vulnerability status. A multinomial logit model was used to investigate factors that contribute to vulnerability to poverty.

Results: The study findings pointed out that high-income variability contributes to vulnerability and poverty among urban and rural areas.

Additionally, the findings of the study demonstrated that only a few households fall in the middle (lower bound) poverty lines.

Conclusions: Race and location are strong predictors of poverty in South Africa.


Income distribution, Inequality, Multinomial logit model, Principal Component, sub-Sahara

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DOI: https://doi.org/10.11564/33-1-1370


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ISSN 2308-7854 (online); ISSN 0850-5780 (print)

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