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
- Full Text:
- Date Issued: 2023-03-31
- 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
- Full Text:
- Date Issued: 2023-03-31
Energy use patterns and trends: the impact of energy policy in South African low-income households
- Israel-Akinbo, Sylvia Olawumi
- Authors: Israel-Akinbo, Sylvia Olawumi
- Date: 2018
- Subjects: Energy policy -- Social aspects -- South Africa , Energy security -- South Africa , Households -- Economic aspects -- South Africa , Poor -- Energy assistance -- South Africa , Poor -- South Africa , University of Cape Town. National Income Dynamics Study , Free Basic Electricity Policy (South Africa) , Income and Expenditure Survey (South Africa)
- Language: English
- Type: text , Thesis , Doctoral , PhD
- Identifier: http://hdl.handle.net/10962/62264 , vital:28148
- Description: Energy poverty is a growing concern especially amongst low-income populations in developing countries. The transition to modern energy carriers is associated with welfare improvement and it is considered as an important developmental goal to achieve, in order to eradicate energy poverty. As such, the South African government has made energy poverty an issue of policy focus. Literature abounds with different measures of energy poverty; energy programmes and policies are also aimed at improving the welfare of the low-income households in terms of basic services such as electricity. As a point of entry into this study, this thesis explored energy use patterns and trends in low-income South African households. The research objectives addressed in the study included investigating the extent of energy poverty through a multidimensional energy poverty index, examining the extent to which the 'energy ladder' and 'energy stacking' models explains energy transition patterns and to examining whether the Free Basic Electricity Policy has impacted on energy choices and energy poverty. In order to contribute to energy poverty and energy policy discussion in South Africa, this study has investigated the dimensions of energy poverty amongst low-income South African households from these three different perspectives (objectives). A positivist approach, by using a quantitative method was used to underpin the study. The study utilised secondary data, which were from the National Income Dynamics Survey and Income and Expenditure Survey. The former was used for the analysis of the multidimensional energy poverty index and energy transition patterns whilst the latter was used for the analysis of the impact of the Free Basic Electricity Policy. The four waves of the National Income Dynamics Survey, with 2008 as the base year and the 2010/2011 version of the Income and Expenditure Survey were used whilst the data were processed through the quantitative software package, STATA version 12. The data were then analysed using the multidimensional energy poverty framework by Nussbaumer et al. (2011) and econometric models, which best fit the objectives. The result of the panel analysis, which assesses the multidimensional energy poverty for low-income households in South Africa showed that low-income households in both urban and rural areas are in a moderate state of energy poverty but different levels. However, the cross-sectional analysis revealed that the percentage of low-income households that are energy poor is reducing for the rural households but increasing for their urban counterparts from 2008 to 2014. The panel and cross-sectional results of the contribution of the energy dimensions in multidimensional energy poverty shows that the low-income households are especially energy poor in terms of heating fuel. The findings from the econometric estimates partly confirmed an energy ladder behaviour for the energy choice for cooking. An energy stacking behaviour was confirmed for the low- income households for these energy services - heating and lighting. Moreover, it was found that with respect to cooking and heating, low-income households living in a modern dwelling, having a small household size and residing in an urban area are less likely to use transitional or traditional energy carriers but most likely to use modern energy carriers. In addition, low-income households are more likely to use modern energy carriers for their cooking and heating in 2010, 2012 and 2014 than in 2008. For lighting energy service, low- income households living in a modern dwelling in an urban settlement are most likely to use modern energy carriers for lighting and less likely to use transitional energy carriers or candles. Only in 2014 were low-income households more likely to use modern energy carriers for lighting than in 2008. The results further showed that modern energy carriers have the highest probability of being preferred for lighting followed by cooking and lastly heating. Also emerging from the findings are that more urban low-income households are receiving the Free Basic Electricity (FBE) grant than their counterparts in the rural areas. The probability of low-income households owning entertainment/education appliance and food preserving appliance is positively influenced by access to Free Basic Electricity. The low- income households living in an urban settlement and in a modern type of dwelling supported this result. However, household size does not seems to support this result should it grow larger.
- Full Text:
- Date Issued: 2018
- Authors: Israel-Akinbo, Sylvia Olawumi
- Date: 2018
- Subjects: Energy policy -- Social aspects -- South Africa , Energy security -- South Africa , Households -- Economic aspects -- South Africa , Poor -- Energy assistance -- South Africa , Poor -- South Africa , University of Cape Town. National Income Dynamics Study , Free Basic Electricity Policy (South Africa) , Income and Expenditure Survey (South Africa)
- Language: English
- Type: text , Thesis , Doctoral , PhD
- Identifier: http://hdl.handle.net/10962/62264 , vital:28148
- Description: Energy poverty is a growing concern especially amongst low-income populations in developing countries. The transition to modern energy carriers is associated with welfare improvement and it is considered as an important developmental goal to achieve, in order to eradicate energy poverty. As such, the South African government has made energy poverty an issue of policy focus. Literature abounds with different measures of energy poverty; energy programmes and policies are also aimed at improving the welfare of the low-income households in terms of basic services such as electricity. As a point of entry into this study, this thesis explored energy use patterns and trends in low-income South African households. The research objectives addressed in the study included investigating the extent of energy poverty through a multidimensional energy poverty index, examining the extent to which the 'energy ladder' and 'energy stacking' models explains energy transition patterns and to examining whether the Free Basic Electricity Policy has impacted on energy choices and energy poverty. In order to contribute to energy poverty and energy policy discussion in South Africa, this study has investigated the dimensions of energy poverty amongst low-income South African households from these three different perspectives (objectives). A positivist approach, by using a quantitative method was used to underpin the study. The study utilised secondary data, which were from the National Income Dynamics Survey and Income and Expenditure Survey. The former was used for the analysis of the multidimensional energy poverty index and energy transition patterns whilst the latter was used for the analysis of the impact of the Free Basic Electricity Policy. The four waves of the National Income Dynamics Survey, with 2008 as the base year and the 2010/2011 version of the Income and Expenditure Survey were used whilst the data were processed through the quantitative software package, STATA version 12. The data were then analysed using the multidimensional energy poverty framework by Nussbaumer et al. (2011) and econometric models, which best fit the objectives. The result of the panel analysis, which assesses the multidimensional energy poverty for low-income households in South Africa showed that low-income households in both urban and rural areas are in a moderate state of energy poverty but different levels. However, the cross-sectional analysis revealed that the percentage of low-income households that are energy poor is reducing for the rural households but increasing for their urban counterparts from 2008 to 2014. The panel and cross-sectional results of the contribution of the energy dimensions in multidimensional energy poverty shows that the low-income households are especially energy poor in terms of heating fuel. The findings from the econometric estimates partly confirmed an energy ladder behaviour for the energy choice for cooking. An energy stacking behaviour was confirmed for the low- income households for these energy services - heating and lighting. Moreover, it was found that with respect to cooking and heating, low-income households living in a modern dwelling, having a small household size and residing in an urban area are less likely to use transitional or traditional energy carriers but most likely to use modern energy carriers. In addition, low-income households are more likely to use modern energy carriers for their cooking and heating in 2010, 2012 and 2014 than in 2008. For lighting energy service, low- income households living in a modern dwelling in an urban settlement are most likely to use modern energy carriers for lighting and less likely to use transitional energy carriers or candles. Only in 2014 were low-income households more likely to use modern energy carriers for lighting than in 2008. The results further showed that modern energy carriers have the highest probability of being preferred for lighting followed by cooking and lastly heating. Also emerging from the findings are that more urban low-income households are receiving the Free Basic Electricity (FBE) grant than their counterparts in the rural areas. The probability of low-income households owning entertainment/education appliance and food preserving appliance is positively influenced by access to Free Basic Electricity. The low- income households living in an urban settlement and in a modern type of dwelling supported this result. However, household size does not seems to support this result should it grow larger.
- Full Text:
- Date Issued: 2018
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