Skip to main content Accessibility help
×
Home

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

  • Frank W. Agbola (a1)

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.

Copyright

References

Hide All
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.
Barten, A.P.Maximum Likelihood Estimation of a Complete System of Demand Equations.European Economic Review (Fall 1969):773.
Bowmaker, P.A., and Nieuwoudt, W.L.. “Demand Equations for Selected South Africa Agricultural Commodities.Agrekon 29(1990):4650.
Buse, A.Evaluating the Linearized Almost Ideal Demand System.American Journal of Agricultural Economics 76(1994):781793.
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.
Chalfant, J.A Globally Flexible, Almost Ideal Demand System.Journal of Business and Economic Statistics 5(1987):233242.
Cox, T.L., and Wohlgenant, M.K.. “Prices and Quality Effects in Cross-Sectional Demand Analysis.American Journal of Agricultural Economics 68(1986):908919.
Deaton, A., and Muellbauer, J.. Econometrics and Consumer Behaviour. Cambridge, U.K.: Cambridge University Press, 1980.
Hancock, P.J.An Econometric Demand and Policy Analysis of the South African Meat Industry.” M.Sc. thesis. University of Natal, Pietermaritzburg, 1987.
Hancock, P.J., Nieuwoudt, W.L., and Lyne, M.C.. “Demand Analysis of Meat in South Africa.Agrekon 23(1984):2629.
Hayes, D., Wahl, T., and Williams, G.. “Testing Restrictions on a Model of Japanese Meat Demand.American Journal of Agricultural Economics 72(1990):556566.
May, J.Introduction.Poverty and Inequality in South Africa: Meeting the Challenge. May, J., ed. New York: Zed Books, 2000.
Poonyth, D., Hassan, R., and Kirsten, J.F.. “Random Coefficients Analysis of Changes in Meat Consumption Preferences in South Africa.Agrekon 40(2001):426437.
Powell, A.A.Empirical Analyticals of Demand Systems. Lexington MA: Heath, 1974.
Ray, R.Demographic Variables and Equivalence Scales in a Flexible Demand System: The Case of AIDS.Applied Economics 18(1986):265277.
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.
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).
Stone, J.R.. The Measurement of Consumers' Expenditure and Behaviour in the United Kingdom, 1920–1938, Vol. 1. Cambridge: Cambridge University Press, 1953.
Theil, H.Principles of Econometrics. New York: Wiley, 1971.
van Zyl, J., and Kirsten, J.. “Food Security in South Africa.Agrekon 31(1992):170183.

Keywords

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

  • Frank W. Agbola (a1)

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed