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

Priviledge Chetenia, Yohane Khamfula, Gisele Mah

Abstract


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.


Keywords


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

Full Text:

PDF


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

Refbacks

  • There are currently no refbacks.





This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

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

Powered by OJS and hosted by Stellenbosch University Library and Information Service since 2013.


Disclaimer:

This journal is hosted by the SU LIS on request of the journal owner/editor. The SU LIS takes no responsibility for the content published within this journal, and disclaim all liability arising out of the use of or inability to use the information contained herein. We assume no responsibility, and shall not be liable for any breaches of agreement with other publishers/hosts.

SUNJournals Help