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Distance as a barrier to health care access in South Africa
Access to health care is a particular concern given the centrality of poor access in perpetuating poverty and inequality. South Africa’s apartheid history leaves large racial disparities in access despite post-apartheid health policy to increase the number of health facilities, even in remote rural areas. However, even when health services are provided free of charge, monetary and time costs of travel to a local clinic may pose a significant barrier for vulnerable segments of the population, leading to overall poorer health. Using new data from the first nationally representative panel survey in South Africa together with administrative geographic data from the Department of Health, we investigate the role of distance to the nearest facility on patterns of health care utilization. We find that many apartheid legacies remain in place. Ninety percent of South Africans live within 7km of the nearest public clinic, and two-thirds live less than 2km away. However, 15% of Black African adults live more than 5km from the nearest facility, in contrast to only 7% of coloureds and 4% of whites. There is a clear income gradient in proximity to public clinics. Also, we find distance decay in the uptake of important health services such as having a skilled birth attendant, an immunization record and a growth chart for children. The poorest tend to reside furthest from the nearest clinic and an inability to bear travel costs constrains them to lower quality health care facilities. Within this general picture, men and women have different patterns of health care utilization, with the reduction in utilization of health care associated with distance being larger for men than it is for women. Much has been done to redress disparities in South Africa since the end of apartheid but progress is still needed to achieve equity in health care access
An evaluation of the determinants and implications of panel attrition in the National Income Dynamics Survey (2008 – 2010)
Panel surveys offer a valuable tool for researchers to explore the dynamics underlying individual and household behaviours. The Achilles heel of panel data is attrition. This paper examines the determinants and implications of attrition in the first two waves of South Africa’s National Income Dynamics Survey (NIDS). Multivariate tests in labour market and health specifications show that there is some moderate evidence of attrition bias in estimated coefficients based on the non-attriting sample. This bias can be seen in labour market specifications, in particular for men, and for Africans, and to a much lesser degree in health specifications, in particular for small samples of Whites. Researchers should take care when using the panel data set to generalise to the overall population.The authors would like to thank the National Income Dynamics Survey for funding, Ingrid Woolard for her
support and referral in the final stages, Natasha Curry for her invaluable editing and Salma Kagee, Rowan
Clarke and Sam Day for helpful comments and input
Earnings volatility in South Africa
How much volatility is there in earnings in South Africa? The South African labour market has been shown to be a key determinant of welfare, both in terms of poverty and inequality. These are a function of both the high levels of unemployment as well as the wage distribution, conditional on being employed. One aspect of welfare that derives from the labour market, which has been relatively understudied to date, is the amount of volatility in earnings that various groups of South Africans experience over time. This has implications directly for welfare, as well as for inequality. We make use of the first three waves of data from the National Income Dynamics Study to describe the amount of earnings volatility experienced by different demographic groups. We then make use of a regression model to estimate the partial correlation between the various characteristics that we use and earnings volatility. Our main findings are that earnings volatility is high over a four year interval. The mean within‐person standard deviation in earnings across the three waves lies between 50% and 66% of the mean earnings depending on the time period, and the mean within‐person coefficient of variation in earnings is 0.641.Vimal Ranchhod - Chief Research Officer, SALDRU, Dept. of Economics, University of Cape Town. Email:
[email protected]
Immigrant earnings growth: Selection bias or real progress?
We use longitudinal tax data linked to immigrant landing records to study the effect of selective attrition on the estimated earnings assimilation of immigrants to Canada. Contrary to findings in the existing international literature, we show that the immigrant-native earnings gap closes at the same pace in longitudinal and cross-sectional data. Low-earning immigrants are likely to leave the cross-sectional samples over time, but the same is true for the native born. Our study suggests that immigrants to Canada have labour market participation dynamics similar to those of the native born
What happened to multidimensional poverty in South Africa between 1993 and 2010?
Gauging levels of welfare using data on income and expenditure is informative yet limited and can be enhanced by including non-money-metric measures. Nationally representative data sets from 1993 and 2010-2011 which cover a broad set of domains are used to calculate a multidimensional poverty index (MPI) for each year. This paper calculates these indices and uses them to assess trends in multidimensional poverty in South Africa over the post-apartheid period. From 1993 to 2010 MPI poverty fell by 29 percentage points from 37% to 8%. During this time period, the level of severe MPI poverty also dropped substantially from 17% of the population in 1993 to just over 1% in 2010. Not only did the incidence and intensity of multidimensional poverty fall significantly, but the average distance from the multidimensional poverty line across all dimensions also decreased over the period. These declines in multidimensional poverty are notably stronger than the estimated declines in money-metric poverty, which are also estimated and compared for the post-apartheid period
Progress through school and the determinants of school dropout in South Africa
The release of the National Income Dynamics Study Wave 2 provides the first nationally representative longitudinal data collected in South Africa. This makes it possible to study transitions in and out of school, across grades and into work in ways not previously possible. We illustrate the high levels of grade repetition evident in South African schools and show how school completion presents a significant hurdle with very few youth successfully completing matric. Exit from school does not offer any advantages as most youth find themselves idle once they have left school. Our regression analysis investigates correlates of school dropout and shows that not keeping pace is a key determinant of school dropout, even after controlling for school quality and socioeconomic status. Those behind but attending higher quality schools are partially protected from dropping out. Some evidence that credit constraints may be related to dropout is found, especially among males
Inequality, Social Sanctions and Cooperation within South African Fishing
We explore the effect of income inequality and social attitudes on the cooperation and sanctioning in nine South African fishing communities where allocation of fishing rights have been unequal and controversial. In the Punishment treatment aggregate contributions towards the public good are significantly higher amongst unequal groups, with low endowment players contributing the greatest endowment share. Sanctioning is significantly lower in unequal groups but demand for punishment is similar, irrespective of differences in relative costs. Free-riding drives punishment, but retaliation is another important motivator (specifically in unequal groups). In equal groups "antisocial" punishment of co-operators is more common. The effect of real wealth and inequality on contributions and punishment is less salient possibly due to real wealth not being discernible in the experimental context. Interestingly, social attitudes are important in explaining sanctioning behaviour, indicating that distrust in formal institutions and specifically in the top-down quota allocation process may have a significant impact on behavioural outcomes and the effectiveness of community sanctioning mechanisms.JEL Classification: C9,D63,H41,Q2Martine Visser is Associate Professor within School of Economics at the University of Cape Town. She is on the Executive Committees of the Environmental–Economics Policy Research Unit (EPRU) and the Research Unit for Behavioral Economics and Neuroeconomics (RUBEN) and a research associate of the South African Labour and Development Research Unit (SALDRU). She is also on the Steering Committee for the African Climate Development Initiative (ACDI).
Justine is an Associate Professor in the School of Economics, and a research associate of the Southern African Labour and Development Research Unit
A taxometric analysis of problem gambling data from a South African national urban sample
We investigate the question whether problem gambling (PG) in a recent South African sample, as measured by the Problem Gambling Severity Index (PGSI), is dimensional or categorical. We use two taxometric procedures, Mean Above Minus Below A Cut (MAMBAC) and Maxim Covariance (MAXCOV), to investigate the taxonic structure of PG as constructed by the PGSI. Data are from the 2010 South African National Urban Prevalence Study of Gambling Behavior. A representative sample of the urban adult population in South Africa (N = 3,000). Responses are to the 9 item PGSI. MAMBAC provided positive but modest evidence that PG as measured by the PGSI was taxonic. MAXCOV pointed more strongly to the same conclusion. These analyses also provide evidence that a PGSI cutoff score of 10 rather than the standard 8 may be called for. PG as constructed by the PGSI may best be thought of as categorical, but further studies with more theory based measurements are needed to determine whether this holds in a wider range of samples and for other screens. A higher cutoff score may be called for on the PGSI when it is used for research purposes to avoid false positives
Social and cultural contexts of concurrency in a township in Cape Town, South Africa
Understanding the social and cultural context in which concurrent sexual partnerships exist is important, given recent interventions to reduce their prevalence. This qualitative study seeks to improve the understanding of concurrent partnerships and perceptions of the link between concurrency and HIV risk in a South African township in Cape Town. Small-group discussion and focus-group participants reported that concurrency was a common phenomenon in their township. The most commonly cited reasons for participating in concurrent partnerships were material and financial exchange or gain and sexual dissatisfaction with partners. Although participants believed that being in a concurrent relationship increases the risk of acquiring HIV, they did not believe this discourages many people from engaging in these behaviours. This study highlights that concurrency in this context may be a social norm that is resistant to change. The efficacy of current programmes aimed at reducing concurrency needs to be examined in this context. Our findings suggest that improving economic independence at the individual level and improving sexual satisfaction within partnerships may have some leverage for concurrency reduction. An alternative approach to strengthen combination HIV-prevention strategies could be to increase condom use with the additional/side partners, whose predominant role is often perceived in terms of sex, with messages centred on the notion that sex with additional partner(s) should not endanger the main partner
The economic impacts of tourism in Botswana, Namibia and South Africa: Is poverty subsiding?
Tourism in southern Africa is based on the region's wildlife and nature assets and is generally environmentally sustainable, but the extent to which it contributes to other aspects of sustainable development — overall income generation or poverty eradication — is less well explored. In this paper, we use social accounting matrices to compare the economic impacts of foreign tourism in Botswana, Namibia and South Africa. Overall impacts on GDP range from 6% (South Africa) to 9% (Namibia). However, South Africa's economy is more diversified than its neighbours' and more of the goods and services used by tourists and by the tourism industry are supplied domestically. Consequently, the impact per Rand spent is considerably larger for South Africa than for Botswana or Namibia. The poorer segments of the population appear to receive shares of tourism income that are smaller than their share of overall income in all three countries