The impact of COVID-19 on inequality in South Africa
- Authors: Nyumbaiza, Peace Falina
- Date: 2023-03-31
- Subjects: COVID-19 Pandemic, 2020- Influence , Inequality , Labor market South Africa , Economic development South Africa , University of Cape Town. National Income Dynamics Study , Income distribution South Africa , Educational equalization South Africa
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/419514 , vital:71650
- Description: The COVID-19 pandemic has raised concerns regarding its possible adverse income distributive consequences, and its different impact according to socioeconomic subgroups (Furceri et al. 2020). This research measures the impact of COVID-19 on inequality in South Africa. To do this the study uses the National Income Dynamic Study (NIDS) wave 5 (2018) and the National Income Dynamic Study Coronavirus Rapid Mobile (NIDS-CRAM) survey waves 1 – 5 (2020 - 2021) datasets to study income inequality in South Africa prior to and during the COVID-19 pandemic until mid-2021. The factor method developed by Lerman and Yitzhaki’s (1985) is used to identify the overall contribution of the different factor sources to income inequality. Labour income is identified as the largest contributing factor and so labour income inequality is decomposed by income determinants using the regression-based decomposition method proposed by Fields (2003). The analysis reveals that labour income worsened during the periods of strictest COVID lockdown, before returning to pre-pandemic levels of inequality as lockdown was eased. Education is the most important determinant of labour income inequality across all time periods, particularly for White, urban and female participants. Although education remains a driving factor of labour income inequality during the national disaster, its contribution lessens as the economy starts recovering by March 2021. Consequently, the contributions of gender, race, age and region increase during the same period. Identifying whom the inequal impact of pandemic has affected worse offers insight that emphasizes the importance social grant systems to aid bridge the inequality gap associated with COVID-19. , Thesis (MEcon) -- Faculty of Commerce, Economics and Economics History, 2023
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- Authors: Nyumbaiza, Peace Falina
- Date: 2023-03-31
- Subjects: COVID-19 Pandemic, 2020- Influence , Inequality , Labor market South Africa , Economic development South Africa , University of Cape Town. National Income Dynamics Study , Income distribution South Africa , Educational equalization South Africa
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/419514 , vital:71650
- Description: The COVID-19 pandemic has raised concerns regarding its possible adverse income distributive consequences, and its different impact according to socioeconomic subgroups (Furceri et al. 2020). This research measures the impact of COVID-19 on inequality in South Africa. To do this the study uses the National Income Dynamic Study (NIDS) wave 5 (2018) and the National Income Dynamic Study Coronavirus Rapid Mobile (NIDS-CRAM) survey waves 1 – 5 (2020 - 2021) datasets to study income inequality in South Africa prior to and during the COVID-19 pandemic until mid-2021. The factor method developed by Lerman and Yitzhaki’s (1985) is used to identify the overall contribution of the different factor sources to income inequality. Labour income is identified as the largest contributing factor and so labour income inequality is decomposed by income determinants using the regression-based decomposition method proposed by Fields (2003). The analysis reveals that labour income worsened during the periods of strictest COVID lockdown, before returning to pre-pandemic levels of inequality as lockdown was eased. Education is the most important determinant of labour income inequality across all time periods, particularly for White, urban and female participants. Although education remains a driving factor of labour income inequality during the national disaster, its contribution lessens as the economy starts recovering by March 2021. Consequently, the contributions of gender, race, age and region increase during the same period. Identifying whom the inequal impact of pandemic has affected worse offers insight that emphasizes the importance social grant systems to aid bridge the inequality gap associated with COVID-19. , Thesis (MEcon) -- Faculty of Commerce, Economics and Economics History, 2023
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Human capital in the context of high levels of inequality in South Africa
- Authors: Friderichs, Tamaryn Jean
- Date: 2021-10-29
- Subjects: Human capital South Africa , Income distribution South Africa , Labor market South Africa , Latent variables , Confirmatory factor analysis , Education Economic aspects South Africa
- Language: English
- Type: Doctoral theses , text
- Identifier: http://hdl.handle.net/10962/192672 , vital:45248 , 10.21504/10962/192672
- Description: Piketty’s (2014) book titled “Capital in the Twenty-First Century” sparked widespread interest in global inequality, the distinction between wealth and income inequality and the economic, social and political processes accounting for changes in economic inequality over time. Piketty’s (2014) study controversially stated that widening economic inequality is the normal state of affairs in capitalist societies. The return from capital/wealth (terms used interchangeably) will almost always outpace the returns from labour. In contrast with Piketty’s (2014) thesis that the returns on non-human capital drive growing income inequality, economists such as Leibbrandt et al. (2012), Van der Berg (2014) and Hundenborn et al. (2016) have found that the labour market and human capital (HC) are the primary sources of income inequality. The research problem for this study stems from these contrasting views. , Thesis (PhD) -- Faculty of Commerce, Economics and Economic History, 2021
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- Authors: Friderichs, Tamaryn Jean
- Date: 2021-10-29
- Subjects: Human capital South Africa , Income distribution South Africa , Labor market South Africa , Latent variables , Confirmatory factor analysis , Education Economic aspects South Africa
- Language: English
- Type: Doctoral theses , text
- Identifier: http://hdl.handle.net/10962/192672 , vital:45248 , 10.21504/10962/192672
- Description: Piketty’s (2014) book titled “Capital in the Twenty-First Century” sparked widespread interest in global inequality, the distinction between wealth and income inequality and the economic, social and political processes accounting for changes in economic inequality over time. Piketty’s (2014) study controversially stated that widening economic inequality is the normal state of affairs in capitalist societies. The return from capital/wealth (terms used interchangeably) will almost always outpace the returns from labour. In contrast with Piketty’s (2014) thesis that the returns on non-human capital drive growing income inequality, economists such as Leibbrandt et al. (2012), Van der Berg (2014) and Hundenborn et al. (2016) have found that the labour market and human capital (HC) are the primary sources of income inequality. The research problem for this study stems from these contrasting views. , Thesis (PhD) -- Faculty of Commerce, Economics and Economic History, 2021
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