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Urban Household Demand For Meat And Meat Products In Nigeria: An Almost Ideal Demand System Analysis

Author

Listed:
  • Ezedinma, Chuma I.
  • Kormawa, P.M.
  • Chianu, Jonas

Abstract

This study is based on micro level data on urban household food consumption and expenditure collected between 1999 and 2000 in three Nigerian cities. The LA/AIDS model, which allows the inclusion of demographic variables, was applied to a subset of the data on meat and meat products namely beef, mutton/goat, chicken, fish, eggs, and milk. Results indicate that urban demand for meat products will continue to increase as incomes improve, suggesting potential market opportunities especially for poultry. Intra-household demand patterns clearly indicate the importance of beef for children but contrary to expectations, there is a reduced demand for milk as the number of infants in urban households increase. The observed high income elasticity of demand for poultry products may have a positive impact on the derived demand for maize, a primary product in poultry feed. Encouraging poultry production will help restore the battered agricultural sector of Nigeria, increase farmer income, reduce unemployment, and conserve foreign exchange earnings.

Suggested Citation

  • Ezedinma, Chuma I. & Kormawa, P.M. & Chianu, Jonas, 2006. "Urban Household Demand For Meat And Meat Products In Nigeria: An Almost Ideal Demand System Analysis," FAMAN Papers 2006 54404, Farm Management Association of Nigeria (FAMAN).
  • Handle: RePEc:ags:fama06:54404
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    File URL: http://purl.umn.edu/54404
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    Cited by:

    1. Fadiga, Mohamadou L. & Katjiuongua, Hikuepi B., 2014. "Issues and strategies in ex-post evaluation of intervention against animal disease outbreaks and spread," Food Policy, Elsevier, vol. 49(P2), pages 418-424.
    2. Ogundari, Kolawole, 2012. "Demand For Quantity Versus Quality In Beef, Chicken And Fish Consumption In Nigeria," Revista de Economia e Agronegocio / Brazilian Review of Economics and Agribusiness, Federal University of Vicosa, Department of Agricultural Economics, vol. 10(1).

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