Exploring income variations across traditional authorities in KwaZulu-Natal, South Africa

Robert Klitgaard and Amanda Fitschen

Development Southern Africa, 1997, vol. 14, issue 3, 363-376

Abstract: To understand income inequality and poverty, one must go beyond the important and much-studied differences rural and urban living and investigate inequalities within rural areas. Using new South African data aggregated by 'traditional authorities', this article examines variations in per capita income across poor, rural, mostly black areas of KwaZulu-Natal (KZN) province. The inequalities are significant. In explaining them, the article examines the importance of such variables as education, proportion of females in the resident population, population density, soil quality and rainfall. A geographical information system is used to map both the raw data and the residuals from a regression analysis, and this combination of statistical and geographical analyses yields new insights. Finally, the article suggests how these techniques might be supplemented by qualitative and quantitative studies of 'overachieving' and 'underachieving' traditional authorities - those whose incomes per capita are well above or below what regression equations would predict.

Date: 1997
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/03768359708439971 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:deveza:v:14:y:1997:i:3:p:363-376

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CDSA20

DOI: 10.1080/03768359708439971

Access Statistics for this article

Development Southern Africa is currently edited by Marie Kirsten

More articles in Development Southern Africa from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().