To illustrate the performance of South Africa’s public school system, RESEP developed the below interactive map with the assistance of the Centre for Geographic Analysis at Stellenbosch University.
A PART OF THE ECD WORKING PAPER SERIES BETWEEN ILIFA LABANTWANA & RESEP. NO. ECD WP 003/2021
The Ilifa-Resep ECD Working Paper Series is a collaboration between Ilifa Labantwana and Research on Socio-Economic Policy (RESEP) at Stellenbosch University. The working paper series aims to promote research that addresses the major systemic issues facing the ECD sector in South Africa.
The Ilifa-Resep ECD Working Paper Series is a collaboration between Ilifa Labantwana and Research on Socio-Economic Policy (Resep) at Stellenbosch University. The working paper series aims to promote research that addresses the major systemic issues facing the ECD sector in South Africa.
Prospects of low voter turnout and ongoing protest about the quality of service delivery should be no surprise, according to a new study. Tina Fransman, a PhD student in Economics at Stellenbosch University, working with Dr Marisa von Fintel, one of her supervisors, explored the relationship between public service delivery, voting in elections and protest behaviour in South Africa.
Citizens ought to hold the state accountable for service delivery. This is usually done through the power of the vote. Literature on democratic governance suggests that theoretically, when good quality public services are provided, citizens would continue to vote for the political party in power. Therefore, it is expected that the inverse would occur should poor quality public services be provided.
Using three different studies on early grade reading from no-fee schools across in South Africa, this paper establishes short-term learning losses in reading for grade 2 and 4 students from under-resourced school contexts. We find that in 2020 grade 2 students lost between 57 % and 70 % of a year of learning relative to their pre-pandemic peers.
In this paper, we investigate the existence of geographical correlations in OOP health expenditures by employing a spatial Durbin model on data from 778 clusters obtained from the 2016 Malawi’s Integrated Household Survey.