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European Journal of Development Research
Article . 2021 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
ResearchGate Data
Preprint . 2020
Data sources: Datacite
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how covid 19 pandemic worsens the economic situation of women in south africa

Authors: Chitiga, Margaret; Henseler, Martin; Mabugu, Ramos Emmanuel; Maisonnave, Hélène;

how covid 19 pandemic worsens the economic situation of women in south africa

Abstract

Little is known about the general equilibrium impact COVID-19 induces on different gender groups. This paper addresses the problem of relatively few general equilibrium studies focusing on gender impacts of COVID-19. The analysis uses a gendered Computable General Equilibrium model linked to a microsimulation model that analyses a mild and severe scenario of the pandemic on economic and distributional outcomes for females. Irrespective of scenario, findings show that because women employment tend to have unskilled labour which is more concentrated in sectors that are hurt the most by COVID-19 response measures, they suffer disproportionately more from higher unemployment than their male counterparts. The poverty outcomes show worsened vulnerability for female-headed households given that, even prior to the pandemic, poverty was already higher amongst women. These simulated results are consistent with recently observed impacts and address research gaps important for well-designed public policies to reverse these trends.On connait peu les impacts d’équilibre général induits par la Covid-19 sur les groupes de genre différents. Cette étude adresse le problème de la pénurie d’études en équilibre général s’intéressant aux impacts de la COVID-19 sur le genre. L’analyse te combine un modèle d’équilibre général calculable sexo-spécifique avec un modèle de micro-simulation et évalue deux scenarios de la pandémie, l’un modéré et l’autre sévère, et leurs effets sur les résultats économiques et distributionnels des femmes. Quel que soit le scenario, les résultats démontrent que les femmes souffrent du chômage d’une manière disproportionée comparé aux hommes, puisque le travail des femmes tend à être du travail non qualifié, concentré dans les secteurs qui sont les plus frappés par les mesures de réponse à la COVID-19. En termes de pauvreté, les foyers dirigés par des femmes sont plus vulnérables, étant donné que même avant la pandémie, la pauvreté était déjà plus élevée chez les femmes. Les résultats simulés par cette étude concordent avec les impacts récemment observés, et abordent les lacunes de recherche nécessaires pour modéliser des politiques publiques bien conçues afin de renverser ces tendances.

Country
France
Keywords

JEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C68 - Computable General Equilibrium Models, J16, O55, COVID-19, Gender, South Africa JEL: C68, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, [SHS]Humanities and Social Sciences, South Africa, E60, Computable general equilibrium model, JEL: O - Economic Development, Innovation, Technological Change, and Growth/O.O5 - Economywide Country Studies/O.O5.O55 - Africa, C68, JEL: E - Macroeconomics and Monetary Economics/E.E6 - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook/E.E6.E60 - General, JEL: J - Labor and Demographic Economics/J.J1 - Demographic Economics/J.J1.J16 - Economics of Gender • Non-labor Discrimination, Original Article, Poverty

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    22
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
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