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Estimation of Food Demand Patterns in South Africa Based on a Survey of Households

Published online by Cambridge University Press:  28 April 2015

Frank W. Agbola*
Affiliation:
School of Policy, theUniversity of Newcastle, Callaghan, Australia

Abstract

South Africa is emerging as a major player in the world agricultural products market. This study investigates aggregate food demand patterns in South Africa using a linear approximate almost ideal demand system (LA/AIDS) modeling framework. Data from a 1993 integrated national household survey are employed in the analysis. Empirical results show that demand for meat and fish, grains, dairy products, fruits, vegetables, and other foods are generally price elastic. The expenditure elasticities imply that meat and fish and grains are luxury products, whereas dairy products, fruits, vegetables, and other foods are necessities in the household diet. The results also indicate that if income of households increases food expenditure on meat and fish and grains would increase, whereas that on dairy products, fruits, vegetables, and other foods would decrease. Race, age, and gender of household head, urbanization, and family size affect food demand in South Africa.

Type
Articles
Copyright
Copyright © Southern Agricultural Economics Association 2003

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References

Alston, J.M., Foster, K.A., and Green, R.D.. “Estimating Elasticities with the Linear Approximate Almost Ideal Demand System: Some Monte Carlo Results.Review of Economics and Statistics 76(1994):351356.CrossRefGoogle Scholar
Barten, A.P.Maximum Likelihood Estimation of a Complete System of Demand Equations.European Economic Review (Fall 1969):773.Google Scholar
Bowmaker, P.A., and Nieuwoudt, W.L.. “Demand Equations for Selected South Africa Agricultural Commodities.Agrekon 29(1990):4650.CrossRefGoogle Scholar
Buse, A.Evaluating the Linearized Almost Ideal Demand System.American Journal of Agricultural Economics 76(1994):781793.CrossRefGoogle Scholar
Byrne, P.J., Capps, O., and Saha, A.. “Analysis of Food-Away-from-Home Expenditure Patterns for US Households, 1982–89.American Journal of Agricultural Economics 78(1996):614627.CrossRefGoogle Scholar
Chalfant, J.A Globally Flexible, Almost Ideal Demand System.Journal of Business and Economic Statistics 5(1987):233242.Google Scholar
Cox, T.L., and Wohlgenant, M.K.. “Prices and Quality Effects in Cross-Sectional Demand Analysis.American Journal of Agricultural Economics 68(1986):908919.CrossRefGoogle Scholar
Deaton, A., and Muellbauer, J.. Econometrics and Consumer Behaviour. Cambridge, U.K.: Cambridge University Press, 1980.CrossRefGoogle Scholar
Hancock, P.J.An Econometric Demand and Policy Analysis of the South African Meat Industry.” M.Sc. thesis. University of Natal, Pietermaritzburg, 1987.Google Scholar
Hancock, P.J., Nieuwoudt, W.L., and Lyne, M.C.. “Demand Analysis of Meat in South Africa.Agrekon 23(1984):2629.CrossRefGoogle Scholar
Hayes, D., Wahl, T., and Williams, G.. “Testing Restrictions on a Model of Japanese Meat Demand.American Journal of Agricultural Economics 72(1990):556566.CrossRefGoogle Scholar
May, J.Introduction.Poverty and Inequality in South Africa: Meeting the Challenge. May, J., ed. New York: Zed Books, 2000.Google Scholar
Poonyth, D., Hassan, R., and Kirsten, J.F.. “Random Coefficients Analysis of Changes in Meat Consumption Preferences in South Africa.Agrekon 40(2001):426437.CrossRefGoogle Scholar
Powell, A.A.Empirical Analyticals of Demand Systems. Lexington MA: Heath, 1974.Google Scholar
Ray, R.Demographic Variables and Equivalence Scales in a Flexible Demand System: The Case of AIDS.Applied Economics 18(1986):265277.CrossRefGoogle Scholar
Southern Africa Labour and Development Research Unit (SALDRU). “South Africa Integrated Household Survey.” Southern African Labour Development Research Unit, University of South Africa, Cape Town, South Africa, 1994.Google Scholar
Statistics South Africa—Population Statistics by Ethnic Origin. Bulletin of Statistics 37(2). Internet site: http://www.statssa.gov.za/products/reports/bulletin/bulletin.pdf (Accessed March 30, 2003).Google Scholar
Stone, J.R.. The Measurement of Consumers' Expenditure and Behaviour in the United Kingdom, 1920–1938, Vol. 1. Cambridge: Cambridge University Press, 1953.Google Scholar
Theil, H.Principles of Econometrics. New York: Wiley, 1971.Google Scholar
van Zyl, J., and Kirsten, J.. “Food Security in South Africa.Agrekon 31(1992):170183.CrossRefGoogle Scholar