Table of Contents
Economics Research International
Volume 2012, Article ID 401472, 10 pages
Research Article

Demand for Meat in the Rural and Urban Areas of Kenya: A Focus on the Indigenous Chicken

1Department of Crops and Animal Sciences, Humboldt University of Berlin, Philippstraße 13, Haus 9, 10115 Berlin, Germany
2Department of Agricultural Economics and Agribusiness Management, Egerton University, P.O. Box 536, Egerton 20115, Kenya
3Department of Regional and Project Planning, University of Giessen, Senckenbergstraße 3, 35390 Giessen, Germany
4Department of Agricultural Economics, Humboldt University of Berlin, Philippstraße 13, Haus 12, 10117 Berlin, Germany

Received 29 March 2012; Revised 26 June 2012; Accepted 30 June 2012

Academic Editor: Almas Heshmati

Copyright © 2012 H. K. Bett et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This study intends to estimate the demand for indigenous chicken meat in Kenya, including other available meat products for comparison purposes. Data used was collected from six counties. A total 930 rural and urban households were sampled. Linear Approximated Almost Ideal Demand System (LA/AIDS) model was used to obtain the demand elasticities and to examine the socioeconomic and demographic factors influencing the meat budget shares. The results ascertain that the socio-demographic factors such as household location, the proportion of household members and the family size are important factors in explaining perceived variations in the consumption of meat products. Indigenous chicken meat, beef and mutton, were identified as necessities. Indigenous chicken meat and beef were identified as substitutes while indigenous chicken, goat and exotic chicken meats were complements. In view of the high expenditure elasticities, therefore, considering a policy option that would enhance consumer income is desirable, since it will result in high consumption thereby providing more incentives for production of meat products. The information generated would be more beneficial to the interest groups in the livestock sector as a whole. This would be utilised in the formulation of effective policies in line with food security and poverty alleviation.