This study uses the Census 2001 and 2011 as well as Community Survey 2007 and 2016 data to derive a multidimensional poverty index in South Africa for each year, before assessing the changes in non-money-metric, multidimensional poverty over time. Both the incidence and intensity of multidimensional poverty decreased continuously, and these declines were more rapid than that of money-metric poverty. The decrease in multidimensional poverty between 2001 and 2016 was most rapid for female Africans residing in rural areas in Eastern Cape and KwaZulu-Natal provinces. Multidimensional poverty was most serious in numerous district councils in these two provinces, despite the fact that poverty decline was also most rapid in these district councils. The results of the multidimensional poverty index decomposition indicated that Africans contributed more than 95% to multidimensional poverty, while unemployment, years of schooling and disability were the three indicators contributing most to poverty.
This paper examines South African wage earnings trends using all the available post-1994 household survey datasets. This allows us to identify and address the sources of data inconsistencies across surveys in order to construct a more comparable earnings time series. Taking account of the inconsistencies in questionnaire design and the presence of outliers, we fi nd that it is possible to construct a fairly stable earnings series for formal sector employees.We fi nd that claims that workers have on average experienced a substantial decrease in their real wage earnings in the post-apartheid era is based on choosing datasets on either side of Statistics South Africa's changeover from October Household Surveys (OHS) to the more consistent Labour Force Surveys (LFS), which caused a discontinuous and inexplicably large drop in average earnings. The data actually show an increase in real wage earnings in the post-transition period for formal sector employees, and does not provide strong evidence of decreasing wages in the informal economy. The paper also investigates changes in the distribution of earnings, as well as mean earnings trends by population group, gender and skill category.
Student engagement is one avenue to explore how the experiences within and beyond the classroom impact student persistence behaviours. This article contributes to the sparse research in South Africa on the correlates of student engagement with academic performance at a Historically Disadvantaged University. The results suggest that engagement practices at this university differ across race and gender and that given the South African history we are able to generalise onto the South African higher education system. Influences on persistence and academic success are complex and require a comprehensive approach which embraces the entire context into which student persistence behaviours are embedded. Student engagement patterns are reliable predictors of academic performance and the trends across race and gender suggest that engagement and academic performance remain differentiated along race and gender.
To a large degree, the notoriously high levels of income inequality in South Africa have their roots in differential access to wage-earning opportunities in the labour market, which in turn are influenced by family background. This paper therefore investigates the role that parents' education plays in children's human capital accumulation. The study analyses patterns of educational attainment in South Africa during the period 1970-2001, asking whether intergenerational social mobility has improved. It tackles the issue in two ways, combining extensive descriptive analysis of progress in educational attainment with a more formal evaluation of intergenerational social mobility using indices constructed by Dahan and Gaviria, and Behrman "et al". Both types of analysis indicate that intergenerational social mobility within race groups improved over the period, with the indices suggesting that South African children are currently better able to take advantage of educational opportunities than the bulk of their peers in comparable countries, at least up to lower secondary school level. However, the greater distance to go in achieving educational convergence between race groups at higher education levels reflect a major deficit: Educational "quality" differentials are still large and reflected in big differences in matriculation rates and tertiary qualifications by race. Copyright (c) 2007 The Authors; Journal compilation (c) 2007 Economic Society of South Africa.
This paper analyses a previously unused source of data - the All Media and Product Survey (AMPS) - to arrive at alternative estimates of the post-transition poverty path. The motivations for using this non-official data source are twofold: concern over the comparability of the existing official post-transition datasets - the Income and Expenditure Survey (IES) and Population Census - and a desire to extend analysis of poverty trends beyond 2001. While official data sources are generally preferred for purposes of poverty analysis, the IES and Census collect data at long (5 or 10 year) intervals, and additional years pass before these datasets become available to the public. In some cases there is also concern about data comparability between surveys. The expenditure data contained in the General Household Survey are available annually, although data are captured in a small number of categories that are not very conducive to analysis at the lower end of the income distribution. Analysis on AMPS data confirms the large decline in poverty implied by an increase of R18 billion (in 2000 Rand) in social grant payments between 2000 and 2004. The direction of this trend is consistent with recent research findings based on more frequently analysed data sources, including the work done by Agüero, Carter and May (2005), Seekings (2006 ) and Meth (2006 ). Copyright (c) 2008 The Authors. Journal compilation (c) Economic Society of South Africa 2008.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.