All over the world, the level of poverty is increasing. In South Africa it is mainly concentrated in rural areas and differs significantly from whether considering race, sex, provinces or community areas. This dissertation studies the relationship between poverty and inflation in Sharpeville by determining the impact of rising prices on the poor households in Sharpeville. The study focuses on three areas, namely the theoretical background of poverty and inflation, the impact of rising prices in expenditure patterns and the relationship to poverty. There are different approaches in defining poverty. Poverty can either be absolute or relative. For the purpose of this study, poverty is defined as absolute. Thus the study defines individuals as poor due to their inability to attain a minimum material standard of living. This minimal standard of living is normally referred to as the poverty line. Inflation may be defined in different ways. For the purpose of this dissertation, inflation is defined as the rise in the general price levels over a specific period of time. Changes in expenditure patterns are caused by an increase in inflation. This study uses the regression model to determine the impact of inflation on poverty in Sharpeville. According to the macroeconomic theory’s implication, the same level of inflation on the same basket of commodities has a different level of effect on each household. Accordingly, in this study, all households are assumed to be faced with the same inflation rate. Household size is positively related to poverty gap squared. This means that the more members there were in a household in Sharpeville the poorer they were. Households with the highest number of members were poorer than those with few members. Statistically, the null hypothesis that there is no relationship between household size and poverty gap is rejected, even at the 1% level of significance. EXPINFL is negatively related to poverty gap. The correlation matrix confirms the results in the regression analysis. The correlation coefficient between The relationship between poverty and inflation in Sharpeville Page EXPINFL and PGAP is -0.34467. Although it is relatively weak, the fact that there is a negative correlation confirms that inflation negatively affects poverty. Finally, the study recommends that government provides more job opportunities for the individuals without any source of income in Sharpeville. The government could also provide business funding to the unemployed individuals to enable them to start their own businesses. This would enable those individuals to create additional employment. In addition, measures should be introduced to determine the effect of inflation on those households who are not employed (that is, not receiving any form of income, not even through any form of grant), but do benefit from some form of feeding scheme administered by either government or non-profit organisations. / MCom, Economics, North-West University, Vaal Triangle Campus, 2012

All over the world, the level of poverty is increasing. In South Africa it is mainly concentrated in rural areas and differs significantly from whether considering race, sex, provinces or community areas. This dissertation studies the relationship between poverty and inflation in Sharpeville by determining the impact of rising prices on the poor households in Sharpeville. The study focuses on three areas, namely the theoretical background of poverty and inflation, the impact of rising prices in expenditure patterns and the relationship to poverty. There are different approaches in defining poverty. Poverty can either be absolute or relative. For the purpose of this study, poverty is defined as absolute. Thus the study defines individuals as poor due to their inability to attain a minimum material standard of living. This minimal standard of living is normally referred to as the poverty line. Inflation may be defined in different ways. For the purpose of this dissertation, inflation is defined as the rise in the general price levels over a specific period of time. Changes in expenditure patterns are caused by an increase in inflation. This study uses the regression model to determine the impact of inflation on poverty in Sharpeville. According to the macroeconomic theory’s implication, the same level of inflation on the same basket of commodities has a different level of effect on each household. Accordingly, in this study, all households are assumed to be faced with the same inflation rate. Household size is positively related to poverty gap squared. This means that the more members there were in a household in Sharpeville the poorer they were. Households with the highest number of members were poorer than those with few members. Statistically, the null hypothesis that there is no relationship between household size and poverty gap is rejected, even at the 1% level of significance. EXPINFL is negatively related to poverty gap. The correlation matrix confirms the results in the regression analysis. The correlation coefficient between The relationship between poverty and inflation in Sharpeville Page EXPINFL and PGAP is -0.34467. Although it is relatively weak, the fact that there is a negative correlation confirms that inflation negatively affects poverty. Finally, the study recommends that government provides more job opportunities for the individuals without any source of income in Sharpeville. The government could also provide business funding to the unemployed individuals to enable them to start their own businesses. This would enable those individuals to create additional employment. In addition, measures should be introduced to determine the effect of inflation on those households who are not employed (that is, not receiving any form of income, not even through any form of grant), but do benefit from some form of feeding scheme administered by either government or non-profit organisations. / MCom, Economics, North-West University, Vaal Triangle Campus, 2012