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Covid-19 lockdowns, income distribution, and food security: An analysis for South Africa

Open access
Arndt, Channing, Davies, Rob, Gabriel, Sherwin, Harris, Laurence, Makrelov, Konstantin, Robinson, Sherman, Levy, Stephanie, Simbanegavi, Witness, van Seventer, Dirk, Anderson, Lillian·2020·Global Food Security

Abstract

Absent vaccines and pharmaceutical interventions, the only tool available to mitigate its demographic effects is some measure of physical distancing, to reduce contagion by breaking social and economic contacts. Policy makers must balance the positive health effects of strong distancing measures, such as lockdowns, against their economic costs, especially the burdens imposed on low income and food insecure households. The distancing measures deployed by South Africa impose large economic costs and have negative implications for the factor distribution of income. Labor with low education levels are much more strongly affected than labor with secondary or tertiary education. As a result, households with low levels of educational attainment and high dependence on labor income would experience an enormous real income shock that would clearly jeopardize the food security of these households. However, in South Africa, total incomes for low income households are significantly insulated by government transfer payments. From public health, income distribution and food security perspectives, the remarkably rapid and severe shocks imposed because of Covid-19 illustrate the value of having in place transfer policies that support vulnerable households in the event of 'black swan' type shocks.

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Research works printed but not linked: 9

  1. Asfaw, 2017, Cash transfer programmes, weather shocks and household welfare: evidence from a randomised experiment in Zambia, J. Dev. Effect., 9, 419, 10.1080/19439342.2017.1377751 · DOI
  2. Brück, 2019, Social protection in contexts of fragility and forced displacement: introduction to a special issue, J. Dev. Stud., 55, 1, 10.1080/00220388.2019.1687882 · doi:10.1080/00220388.2019.1687882
  3. Galasso, 2004, Social protection in a crisis: Argentina's Plan Jefes y Jefas, World Bank Econ. Rev., 18, 367, 10.1093/wber/lhh044 · DOI · Paper page
  4. Gilligan, 2007, Is there persistence in the impact of emergency food aid? Evidence on consumption, food security, and assets in rural Ethiopia, Am. J. Agric. Econ., 89, 225, 10.1111/j.1467-8276.2007.00992.x · DOI · Paper page
  5. Hidrobo, 2018, vol. 101, 88
  6. Pyatt, 1979, Accounting and fixed price multipliers in a social accounting matrix framework, Econ. J., 89, 850, 10.2307/2231503 · doi:10.2307/2231503
  7. Sen, 1986, vol. 1
  8. Skoufias, 2003, Economic crises and natural disasters: coping strategies and policy implications, World Dev., 31, 1087, 10.1016/S0305-750X(03)00069-X · DOI · Paper page
  9. Valli, 2019, Economic transfers and social cohesion in a refugee-hosting setting, J. Dev. Stud., 55, 128, 10.1080/00220388.2019.1687879 · DOI

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Metadata

Authors
Arndt, C., Davies, R., Gabriel, S., Harris, L., Makrelov, K., Robinson, S., Levy, S., Simbanegavi, W., van Seventer, D., & Anderson, L.
Venue
Global Food Security
Publisher
Elsevier BV
Published
2020-09
Volume
26
Pages
100410
ISSN
2211-9124 (ISSN-L)
OpenAlex
W3042987516
Cited by
439
References
1
FWCI
111.38
Type
journal article
Language
en
Open access
hybrid
Licence
Funders
  • National Treasury
  • European Commission
  • Consortium of International Agricultural Research Centers
  • United Nations University World Institute for Development Economics Research

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CoChat. (2026). Citation check: Covid-19 lockdowns, income distribution, and food security: An analysis for South Africa. https://app.cochat.ai/papers/10.1016/j.gfs.2020.100410
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Arndt, C., Davies, R., Gabriel, S., Harris, L., Makrelov, K., Robinson, S., Levy, S., Simbanegavi, W., van Seventer, D., & Anderson, L. (2020). Covid-19 lockdowns, income distribution, and food security: An analysis for South Africa. Global Food Security. https://doi.org/10.1016/j.gfs.2020.100410

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