COVID-19 pandemic, lockdown regulations and relief measures: impact on food security among slum dwellers of Soshanguve, South Africa

Purpose This study estimated possible impact of COVID-19 lockdown and relief measures, on severe food insecurity in Soshanguve. Design/methodology/approach Binomial logit models, combine statistical and maximum likelihood features to estimate the odds of severe household food insecurity in the township. Findings Predictably, the risk of severe food insecurity is significantly higher among low income households, with large families, the unemployed and those with lower education. As not all social grants received were spent on food consumption, social support weakly contributed to reduce household severe food insecurity impact of COVID-19. Hence, households receiving grants were not necessarily lifted out of food insecurity because not all of the grant was devoted to food consumption. Originality/value This study contributes to the growing body of knowledge on how COVID-19 lockdown and relief measures impact on food security in poor neighbourhoods. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-07-2024-0541

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Publication Details

Journal
International Journal of Social Economics
Published
2025-03-27
DOI
https://doi.org/10.1108/ijse-07-2024-0541
Primary Topic
COVID-19 Pandemic Impacts
Type
article
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article

COVID-19 pandemic, lockdown regulations and relief measures: impact on food security among slum dwellers of Soshanguve, South Africa

Mokgadi Julia Ngoepe-Ntsoane, Trevor Taft, Oludele Akinloye Akinboade
International Journal of Social Economics
COVID-19 Pandemic Impacts
article

COVID-19 pandemic, lockdown regulations and relief measures: impact on food security among slum dwellers of Soshanguve, South Africa

Mokgadi Julia Ngoepe-Ntsoane, Trevor Taft, Oludele Akinloye Akinboade
article en

Abstract

Purpose This study estimated possible impact of COVID-19 lockdown and relief measures, on severe food insecurity in Soshanguve. Design/methodology/approach Binomial logit models, combine statistical and maximum likelihood features to estimate the odds of severe household food insecurity in the township. Findings Predictably, the risk of severe food insecurity is significantly higher among low income households, with large families, the unemployed and those with lower education. As not all social grants received were spent on food consumption, social support weakly contributed to reduce household severe food insecurity impact of COVID-19. Hence, households receiving grants were not necessarily lifted out of food insecurity because not all of the grant was devoted to food consumption. Originality/value This study contributes to the growing body of knowledge on how COVID-19 lockdown and relief measures impact on food security in poor neighbourhoods. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-07-2024-0541

International Journal of Social EconomicsVol. 53(1)
Human Sciences Research Council (ZA), Tshwane University of Technology (ZA), Institute of Socio-Political Research (RU)
Openalex Percentile: Top 91%
COVID-19 Pandemic Impacts
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COVID-19 pandemic, lockdown regulations and relief measures: impact on food security among slum dwellers of Soshanguve, South Africa — Mokgadi Julia Ngoepe-Ntsoane, Trevor Taft, et al. · International Journal of Social Economics (2025) | TGRS Research Map | TGRS