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Nutrient elasticities among Nigerian households differentiated by income

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  • Akinleye, S.O.
  • Rahji, M.A.Y.
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    Abstract

    Food calorie intake has been found to have a strong empirical linkage with both human health and productivity. In a study to determine the probable influence of price and income changes on the availability of food nutrients to Nigerian households segmented by income, demand elasticities were obtained for survey respondents and the nutritional effects of changes arising from changes in income and prices were computed using both the AIDS methodology and a technique developed by Huang. The findings show that guinea corn is the food that would have the greatest implications for the nutrient status of low income households. Millet, guinea corn and maize and rice, beans and maize respectively are the food items of note for the households whose heads earn average and high incomes. The study concludes with the implications of the findings on the different income groups and the likely applications of the methodology used to derive nutrient elasticities.

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    Bibliographic Info

    Article provided by Agricultural Economics Association of South Africa (AEASA) in its journal Agrekon.

    Volume (Year): 46 (2007)
    Issue (Month): 2 (June)
    Pages:

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    Handle: RePEc:ags:agreko:10126

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    Web page: http://www.aeasa.org.za/
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    Related research

    Keywords: Food demand; income; almost ideal demand system (AIDS); Nigeria; Consumer/Household Economics; Food Consumption/Nutrition/Food Safety;

    References

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    1. Kuo S. Huang, 1996. "Nutrient Elasticities in a Complete Food Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, Agricultural and Applied Economics Association, vol. 78(1), pages 21-29.
    2. Beggs, John J, 1988. "Diagnostic Testing in Applied Econometrics," The Economic Record, The Economic Society of Australia, vol. 64(185), pages 81-101, June.
    3. Savadogo, Kimseyinga & Brandt, Jon A., 1988. "Household Food Demand in Burkina Faso: Implications for Food Policy," Agricultural Economics: The Journal of the International Association of Agricultural Economists, International Association of Agricultural Economists, International Association of Agricultural Economists, vol. 2(4), December.
    4. Soe, T. & Batterham, R. L. & Drynan, R. G., 1994. "Demand for food in Myanmar (Burma)," Agricultural Economics, Blackwell, Blackwell, vol. 11(2-3), pages 207-217, December.
    5. Adebayo B. Aromolaran, 2004. "Intra-Household Redistribution of Income and Calorie Consumption in South-Western Nigeria," Working Papers, Economic Growth Center, Yale University 890, Economic Growth Center, Yale University.
    6. Bouis, Howarth E. & Haddad, Lawrence J., 1992. "Are estimates of calorie-income fxelasticities too high? : A recalibration of the plausible range," Journal of Development Economics, Elsevier, vol. 39(2), pages 333-364, October.
    7. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-26, June.
    8. Savadogo, Kimseyinga & Brandt, Jon A., 1988. "Household food demand in Burkina Faso: Implications for food policy," Agricultural Economics, Blackwell, Blackwell, vol. 2(4), pages 345-364, December.
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    Cited by:
    1. Suwen Pan & Cheng Fang & Roderick Rejesus, 2009. "Food Calorie Intake under Grain Price Uncertainty in Rural Nepal," Journal of Family and Economic Issues, Springer, Springer, vol. 30(2), pages 137-148, June.
    2. Tey, (John) Yeong-Sheng & Shamsudin, Mad Nasir & Mohamed, Zainalabidin & Abdullah, Amin Mahir & Radam, Alias, 2008. "Nutrient elasticities in meat demand: a case in Malaysia," MPRA Paper 14533, University Library of Munich, Germany.

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