It is said that Women’s Month is a celebration of women’s achievements and the important (and often under-recognised) role that they play in South African…
RESEP researcher recent Oped in News24: Opportunities for girls to excel few and far between RESEP researcher, Linda Zuze, recently wrote an article for News…
In an effort to provide expert opinions, as well as assist in guiding public discussions around socio-economic policy, such as education, and issues related to the COVID-19 pandemic, the press contributions of RESEP researchers have increased markedly over the past several months.
In April this year, 24-year-old Lunga Swelindawo received his Master’s degree in Economics. This Swartlander knew from a young age that he was different: He wanted to build bridges, lift other people and change people’s lives. Leo Cordom talked to Lunga Swelindawo about big dreams, to feel like a token black and his next big hurdle.
A report by RESEP’s Servaas van der Berg, Martin Gustafsson, and Kholekile Malindi titled Education and Skills for the Economy and Links to Labour Markets in South Africa, has been released for public comment by the National Planning Commission.
I use the latest (16 May) version of the OxCGRT dataset to answer three fairly common questions about COVID-19 in the South African context. The three questions are: (1) Is South Africa’s curve a relatively flat one? (2.) Does South Africa have ‘one of the toughest lockdowns on earth’? (3.) How do restrictions and ‘flattening the curve’ relate to each other, and where does South Africa fit in?
Good policymaking requires reliable, comparable statistics over time. Despite there being an annual survey of agricultural firms in South Africa, confusion exists about the number of commercial farms in South Africa and the structure of the agricultural sector. According to the agricultural census in 2007, there were 39 966 commercial farms, while the agricultural survey mentions a figure of 64 192 and 57 126 in 2008 and 2017, respectively. With such diverging numbers across time, which figures should we trust and how does one analyse trends in the sector and make evidence-based decisions?