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The Impact of Rising Food Prices on the Households in a Low Income Township in South Africa Sekhampu, Tshediso Joseph; Dubihlela, Dorah
Mediterranean Journal of Social Sciences Vol. 3 No. 3 (2012): September 2012
Publisher : Richtmann Publishing

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Abstract

Food prices in South Africa have increased significantly in recent years. The impact of these price increases on manyresidents remains largely unknown. The study reported here analyzed the perceptions of households in a low income township ofBophelong (South Africa) in order to assess the impact of increases in food prices. The results are based on a household survey usingquestionnaires. The majority of households reported that they do not have enough income to meet their daily needs. The increase inprices in general was much higher for electricity and commuting. A logistic regression model was used to determine the socio-economicfactors affecting the reported impact of increase in food prices. Married and employed household heads reported lower severity levels.Female-headed households reported higher severity levels of price increases. Household income, household size, age, educationalattainment of the household head and the labour- force had no effect on the reported impact of prices. The article provides usefulinformation to policy makers by providing information on the reported impact of rising food prices among low income households in aSouth African context.
Socio-Economic Determinants of Household Food Expenditure in a Low Income Township in South Africa Sekhampu, Tshediso Joseph
Mediterranean Journal of Social Sciences Vol. 3 No. 3 (2012): September 2012
Publisher : Richtmann Publishing

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Abstract

The study, on which this article is based analysed the impact of selected socio-economic characteristics on food expenditurepatterns of a low-income township in South Africa. The results are based on a household survey using questionnaires. A multipleregression model was used to explain responses in monthly household food expenditures to socioeconomic factors. Household income,household size, age, employment status, and the educational attainment of the household head were found to exert a strong positiveimpact on food expenditures. The marital status of the household head was associated with a negative impact on household foodexpenditure, and the coefficient for the variable was significant. Household size, employment and marital status of the household headare the most significant predictors of food expenditure. The gender of the household head had no significant impact on household foodexpenditure. This study contributes to the understanding of low income townships in South Africa by modelling the factors influencinghousehold food expenditure.
Determinants of the Food Security Status of Households Receiving Government Grants in Kwakwatsi, South Africa Sekhampu, Tshediso Joseph
Mediterranean Journal of Social Sciences Vol. 4 No. 1 (2013): January 2013
Publisher : Richtmann Publishing

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Abstract

This study attempts to estimate the food security status and identify the determinants of food security among householdsreceiving government grants in a township of Kwakwatsi, South Africa. The results are based on a household survey usingquestionnaires. A Logistic regression model was estimated based on this data with the household food security status (that isfood secure and insecure) as the dependent variable and a set of demographic variables as explanatory variables. It wasfound that about 38 per cent of the sampled households are food secure. The results of the regression analysis showed totalhouseholdincome, household size, employment and marital status of the household head, employment status of the spouse asimportant determinants of food security in the area. Household size and the marital status of the head of household werenegatively associated with household food security. The age, gender and educational attainment of the household head werenot significant predictors of household food security status. This study makes a contribution to the understanding of thedynamics of households dependent on government grants by modelling the factors which determine food security and may actas reference source for policy planning purposes.