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Analysis of the Demand for Rice in Kaduna State, Nigeria

Author

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  • Oyinbo, O.
  • Omolehin, R. A.
  • Abdulsalam, Z.

Abstract

The kernel of this study was to ascertain the determinants of rice consumption and the compensated as well as the uncompensated demand for rice in Kaduna State using household consumption data obtained from a sample of 310 households through the instrumentality of a structured questionnaire. LA-AIDS model was employed to analyse the data and the result of the data analysis showed that the price of rice, price of beans, price of maize, price of yam, food expenditure, age of household head, household income and number of household income earners were all significant in influencing the households demand for rice. The estimated compensated (-0.7921) and uncompensated(-0.8887) own price elasticities of rice indicated that rice was price inelastic and the estimated expenditure(0.69) elasticity of rice indicated that rice is not a luxury in the households food basket but a necessity. From the findings of the study, it is recommended that efforts at increasing supply of local rice should be intensified as this will reduce the prices of local rice brands and invariably enhance demand for local rice by households as rice was estimated to be own-price inelastic and also, rice should be prioritized as a core food crop in food security programmes as it was found to be a necessity in households food basket.

Suggested Citation

  • Oyinbo, O. & Omolehin, R. A. & Abdulsalam, Z., 2013. "Analysis of the Demand for Rice in Kaduna State, Nigeria," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 5(3), pages 1-8, September.
    • Handle: RePEc:ags:aolpei:157584
    DOI: 10.22004/ag.econ.157584
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    References listed on IDEAS

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    Cited by:

    1. Haggblade, Steven & Me-Nsope, Nathalie M. & Staatz, John M., 2017. "Food security implications of staple food substitution in Sahelian West Africa," Food Policy, Elsevier, vol. 71(C), pages 27-38.
    2. Chanchala Hathurusingha & Neda Abdelhamid & David Airehrour, 2019. "Forecasting Models Based on Data Analytics for Predicting Rice Price Volatility: A Case Study of the Sri Lankan Rice Market," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 1-20, March.
    3. Kimkpe, Thierry A. & Adegbola, Patrice Y. & Yabi, Jacob A. & Adekambi, Souleiman & Biaou, Gauthier, 2016. "Déterminants de la consommation du riz local en Afrique de l’ouest : cas du Benin," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 249298, African Association of Agricultural Economists (AAAE).

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