David Jakinda Otieno is a PhD candidate in the School of Agriculture, Food and Rural Development, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK. E-mail: firstname.lastname@example.org for correspondence. Eric Ruto is a Lecturer and Lionel Hubbard is a Senior Lecturer, both in the School of Agriculture, Food and Rural Development, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK. David Jakinda Otieno gratefully acknowledges the Commonwealth Scholarship Commission (CSC) for financial support towards his PhD study, on which this article is based. We thank two anonymous reviewers and the Editor for their useful comments and suggestions on earlier versions of the paper.
Cattle Farmers’ Preferences for Disease-Free Zones in Kenya: An application of the Choice Experiment Method
Article first published online: 21 JAN 2011
© 2011 Blackwell Publishing Ltd
Journal of Agricultural Economics
Volume 62, Issue 1, pages 207–224, February 2011
How to Cite
Otieno, D. J., Ruto, E. and Hubbard, L. (2011), Cattle Farmers’ Preferences for Disease-Free Zones in Kenya: An application of the Choice Experiment Method. Journal of Agricultural Economics, 62: 207–224. doi: 10.1111/j.1477-9552.2010.00280.x
- Issue published online: 21 JAN 2011
- Article first published online: 21 JAN 2011
- (Original submitted May 2010, revision received August 2010, accepted September 2010.)
- Choice experiment;
- Disease-Free Zone;
- farmer preferences;
- random parameter logit
Management of livestock diseases is important in ensuring food safety to consumers in both domestic and export markets. Various measures are prescribed under the Sanitary and Phytosanitary Standards (SPS) agreement of the World Trade Organization. In order to prevent the spread of trans-boundary cattle diseases, the SPS agreement recommends the establishment of Disease-Free Zones (DFZs). These have been implemented successfully in some major beef-exporting countries, but in Kenya are still at a pilot stage. To understand Kenyan farmers’ preferences on the type of DFZ that would be readily acceptable to them, a choice experiment was conducted using a D-optimal design. Results show that farmers would be willing to pay to participate in a DFZ where: adequate training is provided on pasture development, record keeping and disease monitoring; market information is provided and sales contract opportunities are guaranteed; cattle are properly labelled for ease of identification; and some monetary compensation is provided in the event that cattle die due to severe disease outbreaks. Preferences for the DFZ attributes are shown to be heterogeneous across three cattle production systems. We also derive farmers’ preferences for various DFZ policy scenarios. The findings have important implications for policy on the design of DFZ programmes in Kenya and other countries that face similar cattle disease challenges.