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Analysis of household food demand patterns in Laikipia County, Kenya

Author

Listed:
  • Gabriel, Mwenjeri
  • Samuel, Mwakubo
  • Mary, Kipsat
  • Mwambia, Koome

Abstract

In Kenya, arid and semi-arid lands (ASALs), comprise some 80% of the country and are characterized by high rates of food insecurity, natural resources degradation and unsustainable land management practices. This has led to a significant disruption of bio-diversity resulting in adverse impact on traditional food sources, income and other basic needs of many rural households, thereby leaving many households depending on the markets as their main source of food. Therefore, careful examination of food demand trends among the rural households serves as a precursor to effective planning, monitoring and evaluation of interventions as well as targeting assistance effectively. Guided by neoclassical theory of consumer demand, of a negative relationship between the quantities demanded and product’s price, the study employed Linear Approximate Almost Ideal Demand System (LA/AIAIDS) model, applying Iterative Seemingly Unrelated Regression Procedure (ITSUR) to study food demand in Laikipia County, Kenya. The results indicate that food commodities are price inelastic; Maize, beans, meat and milk are necessities while fruits and vegetables and other foods (which include wheat products, rice, potatoes, sweet potatoes, millet and sorghum) are luxuries. The results suggests that income rather than price oriented policies will be more significant in addressing food insecurity. Secondly, food price regimes that support both supply and demand sides need to be applied for food security to be achieved; and lastly, the impact of demographic variables such as household size, education level of household head, gender and occupation should be considered in policy formulation.

Suggested Citation

  • Gabriel, Mwenjeri & Samuel, Mwakubo & Mary, Kipsat & Mwambia, Koome, 2017. "Analysis of household food demand patterns in Laikipia County, Kenya," African Journal of Rural Development (AFJRD), AFrican Journal of Rural Development (AFJRD), vol. 1(3), March.
  • Handle: RePEc:ags:afjrde:263439
    DOI: 10.22004/ag.econ.263439
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    References listed on IDEAS

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    1. Agbola, Frank W., 2003. "Estimation of Food Demand Patterns in South Africa Based on a Survey of Households," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 35(3), pages 1-8, December.
    2. von Braun, Joachim & Haen, Hartwig de & Blanken, Juergen, 1991. "Commercialization of agriculture under population pressure: effects on production, and nutrition in Rwanda," Research reports 85, International Food Policy Research Institute (IFPRI).
    3. Pollak, Robert A & Wales, Terence J, 1981. "Demographic Variables in Demand Analysis," Econometrica, Econometric Society, vol. 49(6), pages 1533-1551, November.
    4. Abdulai, Awudu & Aubert, Dominique, 2004. "A cross-section analysis of household demand for food and nutrients in Tanzania," Agricultural Economics, Blackwell, vol. 31(1), pages 67-79, July.
    5. Kennedy, Eileen & Peters, Pauline, 1992. "Household food security and child nutrition: the interaction of income and gender of household head," World Development, Elsevier, vol. 20(8), pages 1077-1085, August.
    6. Chang, Hung-Hao & Mishra, Ashok, 2008. "Impact of off-farm labor supply on food expenditures of the farm household," Food Policy, Elsevier, vol. 33(6), pages 657-664, December.
    7. Ivanic, Maros & Martin, Will, 2008. "Implications of higher global food prices for poverty in low-income countries," Policy Research Working Paper Series 4594, The World Bank.
    8. Teklu, T., 1996. "Food demand studies in Sub-Saharan Africa: a survey of empirical evidence," Food Policy, Elsevier, vol. 21(6), pages 479-496, December.
    9. Awudu Abdulai & Devendra K. Jain & Ashok K. Sharma, 1999. "Household Food Demand Analysis in India," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(2), pages 316-327, May.
    10. Thomas L. Cox & Michael K. Wohlgenant, 1986. "Prices and Quality Effects in Cross-Sectional Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(4), pages 908-919.
    11. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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