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.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nwu/oai:dspace.nwu.ac.za:10394/2456 |
| Date | January 2005 |
| Creators | Rampaku, David Madibo |
| Publisher | North-West University |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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