Impact of sectoral determinations in previously unregulated sectors: a case study of domestic work in Grahamstown
- Authors: Nxokweni, Saphokazi
- Date: 2016
- Language: English
- Type: Thesis , Masters , MSocSc
- Identifier: http://hdl.handle.net/10962/3761 , vital:20542
- Description: Domestic labour is widely recognized as one of the most vulnerable labour sectors, both nationally and internationally. In South Africa, sectoral determination 7 was specifically developed to protect domestic workers’ rights and provide them with the means to negotiate with and hold employers to account. However, research over the past years has demonstrated that, while some areas of domestic labour have improved, many workers are still locked in exploitative labour relationships. This research shows that it may seem as if there are significant changes in this sector since the introduction of the sectoral determination, but paternalistic orientations, one-of-the-family myths, and food distribution suggest otherwise. The research concluded that continuities of exploitative and discriminatory practices are still prominent in the employment relationship when viewed through the lens of paternalistic care, food distribution, and the ‘one-of-the-family’ myth.
- Full Text:
- Authors: Nxokweni, Saphokazi
- Date: 2016
- Language: English
- Type: Thesis , Masters , MSocSc
- Identifier: http://hdl.handle.net/10962/3761 , vital:20542
- Description: Domestic labour is widely recognized as one of the most vulnerable labour sectors, both nationally and internationally. In South Africa, sectoral determination 7 was specifically developed to protect domestic workers’ rights and provide them with the means to negotiate with and hold employers to account. However, research over the past years has demonstrated that, while some areas of domestic labour have improved, many workers are still locked in exploitative labour relationships. This research shows that it may seem as if there are significant changes in this sector since the introduction of the sectoral determination, but paternalistic orientations, one-of-the-family myths, and food distribution suggest otherwise. The research concluded that continuities of exploitative and discriminatory practices are still prominent in the employment relationship when viewed through the lens of paternalistic care, food distribution, and the ‘one-of-the-family’ myth.
- Full Text:
Inequality in South Africa: a possible solution within the labour market
- Authors: Ferreira, John-Edward
- Date: 2016
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10962/4047 , vital:20594
- Description: This study sets out to identify the most effective way in which persistently and unacceptably high levels of inequality can be reduced in South Africa. Three alternative approaches were identified from the literature and their impact explored statistically. They are: the introduction of a ‘Social Solidarity Grant’; a decrease in unemployment by 5%; and a narrowing of the skill premium through an expansion of tertiary education. It is important to note that the study makes no attempt at explaining how these outcomes might be implemented or achieved. Rather, it sets out to determine only the effect that such policies may have on measured inequality. It was found that while the introduction of a new grant had a significant effect on inequality, this effect however, was once-off. The grant would be financed by individuals in the top decile through tax increases, which would be a complicated endeavour. Both job creation and a narrowing of the skills premium were significantly effective in decreasing inequality. The narrowing of the skills premium showed more promise due to its accelerating effectiveness in decreasing inequality over time and the fact that it directly addresses the problem of wage differentials. It was noted that the extreme levels of poverty and unemployment in South Africa may dampen enthusiasm for policies that narrow the skills premium to reduce inequality. These characteristics make job creation a more popular policy option because of the positive impact on poverty and unemployment as well as on inequality.
- Full Text:
- Authors: Ferreira, John-Edward
- Date: 2016
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10962/4047 , vital:20594
- Description: This study sets out to identify the most effective way in which persistently and unacceptably high levels of inequality can be reduced in South Africa. Three alternative approaches were identified from the literature and their impact explored statistically. They are: the introduction of a ‘Social Solidarity Grant’; a decrease in unemployment by 5%; and a narrowing of the skill premium through an expansion of tertiary education. It is important to note that the study makes no attempt at explaining how these outcomes might be implemented or achieved. Rather, it sets out to determine only the effect that such policies may have on measured inequality. It was found that while the introduction of a new grant had a significant effect on inequality, this effect however, was once-off. The grant would be financed by individuals in the top decile through tax increases, which would be a complicated endeavour. Both job creation and a narrowing of the skills premium were significantly effective in decreasing inequality. The narrowing of the skills premium showed more promise due to its accelerating effectiveness in decreasing inequality over time and the fact that it directly addresses the problem of wage differentials. It was noted that the extreme levels of poverty and unemployment in South Africa may dampen enthusiasm for policies that narrow the skills premium to reduce inequality. These characteristics make job creation a more popular policy option because of the positive impact on poverty and unemployment as well as on inequality.
- Full Text:
Single station TEC modelling during storm conditions
- Authors: Uwamahoro, Jean Claude
- Date: 2016
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10962/3812 , vital:20545
- Description: It has been shown in ionospheric research that modelling total electron content (TEC) during storm conditions is a big challenge. In this study, mathematical equations were developed to estimate TEC over Sutherland (32.38oS, 20.81oE), during storm conditions, using the Empirical Orthogonal Function (EOF) analysis, combined with regression analysis. TEC was derived from GPS observations and a geomagnetic storm was defined for Dst ≤ -50 nT. The inputs for the model were chosen based on the factors that influence TEC variation, such as diurnal, seasonal, solar and geomagnetic activity variation, and these were represented by hour of the day, day number of the year, F10.7 and A index respectively. The EOF model was developed using GPS TEC data from 1999 to 2013 and tested on different storms. For the model validation (interpolation), three storms were chosen in 2000 (solar maximum period) and three others in 2006 (solar minimum period), while for extrapolation six storms including three in 2014 and three in 2015 were chosen. Before building the model, TEC values for the selected 2000 and 2006 storms were removed from the dataset used to construct the model in order to make the model validation independent on data. A comparison of the observed and modelled TEC showed that the EOF model works well for storms with non-significant ionospheric TEC response and storms that occurred during periods of low solar activity. High correlation coefficients between the observed and modelled TEC were obtained showing that the model covers most of the information contained in the observed TEC. Furthermore, it has been shown that the EOF model developed for a specific station may be used to estimate TEC over other locations within a latitudinal and longitudinal coverage of 8.7o and 10.6o respectively. This is an important result as it reduces the data dimensionality problem for computational purposes. It may therefore not be necessary for regional storm-time TEC modelling to compute TEC data for all the closest GPS receiver stations since most of the needed information can be extracted from measurements at one location.
- Full Text:
- Authors: Uwamahoro, Jean Claude
- Date: 2016
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: http://hdl.handle.net/10962/3812 , vital:20545
- Description: It has been shown in ionospheric research that modelling total electron content (TEC) during storm conditions is a big challenge. In this study, mathematical equations were developed to estimate TEC over Sutherland (32.38oS, 20.81oE), during storm conditions, using the Empirical Orthogonal Function (EOF) analysis, combined with regression analysis. TEC was derived from GPS observations and a geomagnetic storm was defined for Dst ≤ -50 nT. The inputs for the model were chosen based on the factors that influence TEC variation, such as diurnal, seasonal, solar and geomagnetic activity variation, and these were represented by hour of the day, day number of the year, F10.7 and A index respectively. The EOF model was developed using GPS TEC data from 1999 to 2013 and tested on different storms. For the model validation (interpolation), three storms were chosen in 2000 (solar maximum period) and three others in 2006 (solar minimum period), while for extrapolation six storms including three in 2014 and three in 2015 were chosen. Before building the model, TEC values for the selected 2000 and 2006 storms were removed from the dataset used to construct the model in order to make the model validation independent on data. A comparison of the observed and modelled TEC showed that the EOF model works well for storms with non-significant ionospheric TEC response and storms that occurred during periods of low solar activity. High correlation coefficients between the observed and modelled TEC were obtained showing that the model covers most of the information contained in the observed TEC. Furthermore, it has been shown that the EOF model developed for a specific station may be used to estimate TEC over other locations within a latitudinal and longitudinal coverage of 8.7o and 10.6o respectively. This is an important result as it reduces the data dimensionality problem for computational purposes. It may therefore not be necessary for regional storm-time TEC modelling to compute TEC data for all the closest GPS receiver stations since most of the needed information can be extracted from measurements at one location.
- Full Text:
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