Thesis (M.Com. (Economics))--North-West University, Vaal Triangle Campus, 2006.

Thesis (M.Com. (Economics))--North-West University, Vaal Triangle Campus, 2006.

This dissertation studies the role of clothing manufacturing co-operatives in job creation and poverty alleviation in Sharpeville. Ttie study focuses on three areas, namely, the theories of unemployment, poverty and clothing manufacturing, the state of unemployment and poverty in Sharpeville and clothing manufacturing co-operatives as one of the contributors to the solution to unemployment and poverty. Unemployment is identified, among others, as a major determinant of poverty; therefore, the main component of any policy aimed at eradicating poverty should focus on employment creation. The clothing industry being the most labour-intensive industry in South Africa with low capital entry requirement creates opportunities for entrepreneurially driven employment creation in Sharpeville. The approach in the dissertation was to define and measure unemployment and poverty and determine the profile of the poor in Sharpeville. This is done by employing household-level indicators. For measuring poverty the following tools are used: the Household Subsistence Level (HSL) as poverty line, the, headcount index, the poverty gap and the dependency ratio. Unemployment is also used to determine poverty levels. The dissertation shows that Sharpeville experiences high unemployment rates and low levels of poverty based on the indicators employed. Compared to Bophelong, most indicators (except for unemployment) show that Sharpeville is better off. Comparing the operations of clothing businesses in Sharpeville and Mitchell's Plain, the dissertation shows that clothing manufacturing has the potential to create job opportunities in Sharpeville if assistance could be offered. Assuming that assistance is offered to form clothing manufacturing cooperatives. The dissertation shows that 374 jobs could be created and that the unemployment rate could decrease from 59.2 percent to 52.9 percent. The expenditure of the whole population of Sharpeville on clothing (also considering nearby communities) shows a potential big market for clothing manufacturing co-operatives in the township. At an average income of R600 per month the impact will be that the poverty rate will be reduced from 43.1 percent to 40.8 percent and at an average income of R1 500 the impact will be that the poverty rate decrease from 43.1 percent to 39.1 percent. Finally, the dissertation concludes that clothing manufacturing co-operatives can indeed create job opportunities and alleviate poverty, but assistance from different structures is needed. The dissertation suggests major support systems like involvement by industry and training institutions, the formation of associations working directly with operators, the addressing of the problem of geographic location of service providers and government involvement. / Thesis (M.Com. (Economics))--North-West University, Vaal Triangle Campus, 2005.

This dissertation studies the role of education and training in job creation and poverty alleviation in the Sicelo Township. The study focuses on three areas, namely, unemployment, poverty and education and training. The actual state of unemployment and poverty in Sicelo is determined and the role of education and training in solving the problems of unemployment and poverty is discussed. Unemployment is identified, amongst others, as a major determinant of poverty. The main component of any policy aimed at eradicating poverty should therefore focus on employment creation. Education and training is found to be important in labour force participation, finding employment and, therefore, in alleviating poverty. Across both genders, individuals with a low level of education have less chance of finding employment than those with a higher level. Both unemployment and poverty is measured and a profile of the poor in Sicelo is given in terms of several household-level indicators. To measure poverty, the following tools are used: the household subsistence level (HSL) as poverty line, the headcount index, the poverty gap and the dependency ratio. The dissertation shows that Sicelo, compared to Bophelong, experiences lower unemployment rates as well as lower levels of poverty. Most of the indicators show that households in Sicelo are better off than Bophelong. From the analysis it is clear that a high percentage of the poor population have only a primary or incomplete secondary education, which could therefore imply that the lack of education (especially higher education) is a contributing factor to unemployment and poverty in Sicelo. Hence this study shows that access to education is clearly a key component, not only for human resource development, but also of an individual's ability to cope with modern living and to benefit from available opportunities. The unemployment rate amongst the poor was determined at 61.7 percent for Sicelo and the number of poor unemployed persons estimated at 908. If the poor unemployed with skills could be assisted in acquiring further training in the same field in which they already have skills, job opportunities could possibly be found in catering, retail trade, building construction, sewing and welding. Assuming that jobs for all 908 unemployed poor persons in Sicelo could be created at an average monthly income of R600 per month, the impact on the Sicelo community would be that the headcount index would be reduced from 0.50 to 0.23 and the poverty gap index from 0.37 to 0.22. This implies that the percentage of households below their poverty lines would be reduced from the present 50 percent to only 23 percent, and the average shortfall in income of the poor households would be reduced from 37 percent to 22 percent. More training and/or higher qualifications may lead to an increase in the average income, which will result in the reduction of the headcount index. Finally, the dissertation concludes that investing in education and training indeed can create job opportunities and reduce unemployment. This conclusion was drawn from the contention that uneducated individuals have fewer employment opportunities than their educated counterparts. Educated people have also a higher income earning potential, and are better able to improve the quality of their lives. / Thesis (M.Com. (Economics))--North-West University, Vaal Triangle Campus, 2006.

This dissertation studies the social cost of pollution in Leitrirn, which is a township in the Vaal Triangle area. Policies and technologies that may be implemented to reduce pollution inc poor communities are also discussed. The study focuses on three areas namely pollution unemployment and poverty. Leitrim experiences a high rate of both unemployment and poverty. Residents in this area also experience high levels of pollution. Compared to Rathanda township which is more rural. Leitrim is worse off in terms of unemployment poverty and pollution. Unemployment is a major determinant of povert in Leitrim. The main component of a policy aimed at alleviating poverty in Leitrim should therefore focus on employment creation. Unemployment and poverty are defined and measured in this dissertation and the poor in Leitrim are profiled in terms of their gender qualification employment, unemployment and their spending methods. For measuring poverty the Household Subsistence Level (HSL) is used as poverty line to determine the headcount index and the poverty gap. Pollution is identified as one the factors which affect the wellbeing of the poor negatively. Reducing the k\el pollution will therefore also reduce the depth of poverty in poor communities. This dissertation focuses on the following types of pollution: land-based pollution (littering), dust pollution, noise pollution and air (indoor smoke pollution & air pollution from coal fire) pollution. Alternative technologies such as BM implemented in full scale can reduce the level of air pollution by more that 50 percent. It will also reduce the monthly household expenditure of poor households on coal by at least J.5 percent. / Thesis (M.Com. (Economics))--North-West University, Vaal Triangle Campus, 2006.

This dissertation studies the socio-economic challenges and the survival mechanisms of female-headed households in Bophelong Township. The study focuses on three areas namely, female-headed households, their socio-economic challenges and survival strategies. The study followed a literature survey first, then an empirical study. The literature study was undertaken to provide a theoretical framework for the empirical work. The survey process was undertaken in two phases. In the first phase, a sample survey of the whole area of Bophelong was undertaken. This was the sample from which female-headed households were identified. In the second phase, a household survey on the female-headed households serving the purpose of this study was undertaken. The method used in the measure of poverty is the Household Subsistence Level (HSL). The HSL measures the minimum amount needed by a household to maintain subsistence. It takes account of the sex and ages of household members. According to the study outcome, poverty levels amongst female-headed households in Bophelong are high. About 77% of sampled female-headed households in Bophelong were poor. The poverty gap index in these households was 0.53; meaning that on average poor households needs 53% of their income to reach their poverty line. High unemployment rate has been found to be prevalent amongst female-headed households in Bophelong, where the rate of 65% was recorded. This high unemployment rate was possibly the cause of poverty in these households together with low educational qualifications among households members; only 2% were found to have a post graduate qualification. Female-headed households in Bophelong township are engaged in a daily struggling to survive. These households have devised various means for survival. These include the search for wild fruits in the nearby areas, immigration to another region and the benefit of school feeding schemes. When it comes to the sources of household income, government grants were found to play an important role in the sustenance of these households. The average household income was calculated at R1760 per month. The average dependency ratio, which measures the number of unemployed who depend on one income earner, was 5.5. Finally, the investigation recommends a more detailed and deeper study relating to the socio-economic challenges faced by the female-headed households. There is also a need to explore on their survival means so as to direct policy actions aimed at addressing socio-economic issues relating to female-headed households in general. / Thesis (M.Com. (Economics))--North-West University, Vaal Triangle Campus, 2011

South Africa, like international countries, has been experiencing an increase in the levels of poverty over the years. Poverty affects vulnerable groups of society more intensely and these groups include children, the old, disabled people and women, especially those who are single parents. This dissertation studies the role social grants have on the level of poverty in households of Sharpeville. This study focuses on two areas namely the theoretical background of poverty and social grants; and what the impact is of income from social grants. The South African government provides its citizens with eight different social grants to help those in need and/or vulnerable. From these social grants only six are investigated for the purpose of this study. These grants include the old age grant, child dependency grant, foster care grant, child support grant, disability grant and the war veteran grant. Poverty is defined as the inability to attain a minimal material standard of living by the World Bank. The different indicators used in this study to profile poor households in Sharpeville include the Household Subsistence Level (HSL) as the poverty line, the poverty gap ratio, the headcount index and the dependency ratio. This dissertation shows that poverty within the township has increased over the five years. And to do this the results from the data survey conducted in 2009 are compared to the results from Sekatane‘s 2004 data. The poverty gap ratio and the headcount index for the township in 2009 were estimated at 0.86 and 0.654 respectively. In the year 2004 the headcount index was estimated at 0.431 indicating a 22.3 percent increase in the number of people living in poverty. This means that an estimated 5 477 households in Sharpeville, in 2009, were regarded to be poor When government grants are excluded from the household‘s income within the township both the poverty gap ratio and the headcount index decrease to 0.93 and 0.705 respectively. This means that when government grants are excluded from households‘ income within Sharpeville, the depth of poverty within household‘s increases. The income from government grants might be regarded as minimal, however it assists in moving households further from the poverty line. This study recommends that activities within the informal sector should be encouraged as this will increase employment opportunities for those unemployed in the township. As the vast majority of the unemployed people have skills from trading/retail sector; employment creation should be focused in this sector. Lastly, the income threshold used in the means test equation to check affordability of social grant applicant should be decreased as people meeting the current criteria are already living in dire poverty. / Thesis (M.Com. (Economics))--North-West University, Vaal Triangle Campus, 2011

Thesis (M.Com. (Economics))--North-West University, Vaal Triangle Campus, 2005.

This dissertation studies the role of clothing manufacturing co-operatives in job creation and poverty alleviation in Sharpeville. Ttie study focuses on three areas, namely, the theories of unemployment, poverty and clothing manufacturing, the state of unemployment and poverty in Sharpeville and clothing manufacturing co-operatives as one of the contributors to the solution to unemployment and poverty. Unemployment is identified, among others, as a major determinant of poverty; therefore, the main component of any policy aimed at eradicating poverty should focus on employment creation. The clothing industry being the most labour-intensive industry in South Africa with low capital entry requirement creates opportunities for entrepreneurially driven employment creation in Sharpeville. The approach in the dissertation was to define and measure unemployment and poverty and determine the profile of the poor in Sharpeville. This is done by employing household-level indicators. For measuring poverty the following tools are used: the Household Subsistence Level (HSL) as poverty line, the, headcount index, the poverty gap and the dependency ratio. Unemployment is also used to determine poverty levels. The dissertation shows that Sharpeville experiences high unemployment rates and low levels of poverty based on the indicators employed. Compared to Bophelong, most indicators (except for unemployment) show that Sharpeville is better off. Comparing the operations of clothing businesses in Sharpeville and Mitchell's Plain, the dissertation shows that clothing manufacturing has the potential to create job opportunities in Sharpeville if assistance could be offered. Assuming that assistance is offered to form clothing manufacturing cooperatives. The dissertation shows that 374 jobs could be created and that the unemployment rate could decrease from 59.2 percent to 52.9 percent. The expenditure of the whole population of Sharpeville on clothing (also considering nearby communities) shows a potential big market for clothing manufacturing co-operatives in the township. At an average income of R600 per month the impact will be that the poverty rate will be reduced from 43.1 percent to 40.8 percent and at an average income of R1 500 the impact will be that the poverty rate decrease from 43.1 percent to 39.1 percent. Finally, the dissertation concludes that clothing manufacturing co-operatives can indeed create job opportunities and alleviate poverty, but assistance from different structures is needed. The dissertation suggests major support systems like involvement by industry and training institutions, the formation of associations working directly with operators, the addressing of the problem of geographic location of service providers and government involvement. / Thesis (M.Com. (Economics))--North-West University, Vaal Triangle Campus, 2005.

This dissertation studies the role of education and training in job creation and poverty alleviation in the Sicelo Township. The study focuses on three areas, namely, unemployment, poverty and education and training. The actual state of unemployment and poverty in Sicelo is determined and the role of education and training in solving the problems of unemployment and poverty is discussed. Unemployment is identified, amongst others, as a major determinant of poverty. The main component of any policy aimed at eradicating poverty should therefore focus on employment creation. Education and training is found to be important in labour force participation, finding employment and, therefore, in alleviating poverty. Across both genders, individuals with a low level of education have less chance of finding employment than those with a higher level. Both unemployment and poverty is measured and a profile of the poor in Sicelo is given in terms of several household-level indicators. To measure poverty, the following tools are used: the household subsistence level (HSL) as poverty line, the headcount index, the poverty gap and the dependency ratio. The dissertation shows that Sicelo, compared to Bophelong, experiences lower unemployment rates as well as lower levels of poverty. Most of the indicators show that households in Sicelo are better off than Bophelong. From the analysis it is clear that a high percentage of the poor population have only a primary or incomplete secondary education, which could therefore imply that the lack of education (especially higher education) is a contributing factor to unemployment and poverty in Sicelo. Hence this study shows that access to education is clearly a key component, not only for human resource development, but also of an individual's ability to cope with modern living and to benefit from available opportunities. The unemployment rate amongst the poor was determined at 61.7 percent for Sicelo and the number of poor unemployed persons estimated at 908. If the poor unemployed with skills could be assisted in acquiring further training in the same field in which they already have skills, job opportunities could possibly be found in catering, retail trade, building construction, sewing and welding. Assuming that jobs for all 908 unemployed poor persons in Sicelo could be created at an average monthly income of R600 per month, the impact on the Sicelo community would be that the headcount index would be reduced from 0.50 to 0.23 and the poverty gap index from 0.37 to 0.22. This implies that the percentage of households below their poverty lines would be reduced from the present 50 percent to only 23 percent, and the average shortfall in income of the poor households would be reduced from 37 percent to 22 percent. More training and/or higher qualifications may lead to an increase in the average income, which will result in the reduction of the headcount index. Finally, the dissertation concludes that investing in education and training indeed can create job opportunities and reduce unemployment. This conclusion was drawn from the contention that uneducated individuals have fewer employment opportunities than their educated counterparts. Educated people have also a higher income earning potential, and are better able to improve the quality of their lives. / Thesis (M.Com. (Economics))--North-West University, Vaal Triangle Campus, 2006.