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

  • Priviledge Chetenia North-West University, Mafikeng
  • Yohane Khamfula North-West University, Mafikeng
  • Gisele Mah North-West University, Mafikeng
Keywords: Income distribution, Inequality, Multinomial logit model, Principal Component, sub-Sahara


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.

Author Biographies

Priviledge Chetenia, North-West University, Mafikeng
School of Economics and Decision Sciences
Yohane Khamfula, North-West University, Mafikeng
School of economics and Decision Sciences
Gisele Mah, North-West University, Mafikeng
SChool of economics and Decision Sciences