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Development

This is a broad focus area of RESEP research dealing with large scale issues of poverty and inequality, gender and youth, as well as social security and spending.

Development 2020

The gendered effects of the ongoing lockdown and school closures in South Africa: Evidence from NIDS-CRAM Waves 1 and 2

The data from Wave 1 of NIDS-CRAM showed that women were disproportionately affected by the Covid- 19 crisis and the first month of the lockdown period in South Africa. Not only were they much more likely than men to lose their jobs between February and April or to work fewer hours compared to the pre-crisis period, they also took on a greater share of the additional childcare as a result of school closures and the suspension of all childcare services. In this policy paper, we use Wave 2 of NIDS-CRAM to explore how women and men have fared as the economy started to reopen and lockdown restrictions were relaxed.

December 7, 2020 By: Debra Shepherd, Daniela Casale PDF

Common Questions about South Africa’s Covid-19 Response Answered using the International OxCGRT Dataset

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?

May 20, 2020 By: Martin Gustafsson PDF

How Many Commercial Farms are there Really in South Africa and are Most of them ‘Large’?

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?

May 19, 2020 By: Marlies Piek, Johann Kirsten PDF

Development Working Papers