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Valuing Animal Genetic Resources: A Choice Modeling Application to Indigenous Cattle in Kenya

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In an effort to improve productivity and profits many farmers have replaced traditional livestock breeds with higher yielding alternatives. While such changes may bring about short-term economic gains, the loss of traditional livestock breeds could result in the loss of an important genetic resource as a variety of important genetic traits adapted to local conditions gradually become less common in the population. This is a particular problem in Africa, where livestock make a substantial contribution to human livelihoods. Using the example of cattle in Kenya’s pastoral livestock markets this study uses a choice experiment approach to investigate buyers’ preferences for indigenous breeds such as the Maasai Zebu. The analysis employs a latent class approach to characterize heterogeneity in valuations both within and across respondents buying cattle for breeding, slaughter or resale. The results show that there are at least three classes of buyers with distinct preferences for cattle traits and that most buyers favor exotic rather than indigenous breeds. Such preferences have implications for the conservation of indigenous cattle in Kenya and in other developing countries and suggest that some form of intervention may be required to ensure the preservation of this important animal genetic resource.

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File URL: ftp://mngt.waikato.ac.nz/RePEc/wai/econwp/0705.pdf
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Bibliographic Info

Paper provided by University of Waikato, Department of Economics in its series Working Papers in Economics with number 07/05.

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Length: 35 pages
Date of creation: 23 Mar 2007
Date of revision:
Handle: RePEc:wai:econwp:07/05

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Keywords: animal genetic resources; economic valuation; choice experiments; latent class models; indigenous livestock; Maasai Zebu cattle;

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References

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Cited by:
  1. Beharry-Borg, Nesha & Scarpa, Riccardo, 2010. "Valuing quality changes in Caribbean coastal waters for heterogeneous beach visitors," Ecological Economics, Elsevier, vol. 69(5), pages 1124-1139, March.
  2. Faustin, Vidogbèna & Adégbidi, Anselme A. & Garnett, Stephen T. & Koudandé, Delphin O. & Agbo, Valentin & Zander, Kerstin K., 2010. "Peace, health or fortune?: Preferences for chicken traits in rural Benin," Ecological Economics, Elsevier, vol. 69(9), pages 1848-1857, July.
  3. James, Philip A.S. & Smart, James C. R. & Smith, Julian & Bulling, M. T. & Beed, Fen D. & Luwandagga, David, 2011. "The effect of participation in the Ugandan National Agricultural Advisory Services on willingness to pay for extension services," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 6(1), March.
  4. Chung, Chanjin & Briggeman, Brian C. & Han, Sungill, 2012. "Willingness to Pay for Beef Quality Attributes: A Latent Segmentation Analysis of Korean Grocery Shoppers," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 44(04), November.
  5. Espinosa-Goded, Maria & Barreiro-Hurle, Jesus & Ruto, Eric, 2009. "Modeling Farmers Prefences For Agrienvironmental Scheme Design: A Spanish Case Study," 2009 Conference, August 16-22, 2009, Beijing, China 50328, International Association of Agricultural Economists.
  6. Speelman, Stijn & Veettil, Prakashan Chellattan, 2013. "Heterogeneous preferences for water rights reforms among smallholder irrigators in South Africa," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), issue 2, August.
  7. Schumacher, Tucker & Schroeder, Ted C. & Tonsor, Glynn T., 2012. "Willingness-to-Pay for Calf Health Programs and Certification Agents," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 44(02), May.
  8. Kikulwe, Enoch M. & Birol, Ekin & Wesseler, Justus & Falck-Zepeda, Jose Benjamin, 2013. "Benefits, costs, and consumer perceptions of the potential introduction of a fungus-resistant banana in Uganda and policy implications," IFPRI book chapters, in: Falck-Zepeda, Jose Benjamin & Gruère, Guillaume P. & Sithole-Niang, Idah (ed.), Genetically modified crops in Africa: Economic and policy lessons from countries south of the Sahara, chapter 4, pages 99-141 International Food Policy Research Institute (IFPRI).
  9. Birol, Ekin & Asare-Marfo, Dorene & Karandikar,Bhushana & Roy, Devesh, 2011. "A latent class approach to investigating farmer demand for biofortified staple food crops in developing countries: The case of high-iron pearl millet in Maharashtra, India," HarvestPlus Working Papers 7, International Food Policy Research Institute (IFPRI).
  10. Kloos, Julia & Tsegai, Daniel W., 2009. "Preferences for domestic water services in the Middle Olifants sub-basin of South Africa," Discussion Papers 49970, University of Bonn, Center for Development Research (ZEF).
  11. Angel Bujosa Bestard & Antoni Riera Font & Robert L. Hicks, 2009. "Combining discrete and continuous representations of preference heterogeneity: a latent class approach," CRE Working Papers (Documents de treball del CRE) 2009/2, Centre de Recerca Econòmica (UIB ·"Sa Nostra").
  12. Bauer, Dana M. & Johnston, Robert J., 2013. "Foreword: The Economics of Rural and Agricultural Ecosystem Services: Purism versus Practicality," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 42(1), April.
  13. Bart Vermeulen & Peter Goos & Riccardo Scarpa & Martina Vandebroek, 2011. "Bayesian Conjoint Choice Designs for Measuring Willingness to Pay," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 48(1), pages 129-149, January.
  14. Zander, Kerstin K. & Signorello, Giovanni & De Salvo, Maria & Gandini, Gustavo & Drucker, Adam G., 2013. "Assessing the total economic value of threatened livestock breeds in Italy: Implications for conservation policy," Ecological Economics, Elsevier, vol. 93(C), pages 219-229.
  15. Kikulwe, Enoch & Birol, Ekin & Wesseler, Justus & Falck-Zepeda, José, 2009. "A latent class approach to investigating consumer demand for genetically modified staple food in a developing country: The case of GM bananas in Uganda," IFPRI discussion papers 938, International Food Policy Research Institute (IFPRI).

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