Adoption of crossbreed dairy cows (Holstein-Friesian and Jersey) by smallholder dairy farmers in South-Western Ethiopia: Perception and adoption intensity

Asmera Adicha and Gedion Ermias

African Journal of Science, Technology, Innovation and Development, 2023, vol. 15, issue 7, 885-894

Abstract: Evidence on the factors that influence crossbred dairy cow adoption decisions and intensity by dairy farmers in the Debub Ari district is limited. This study provides empirical evidence on the determinants, perceptions, and constraints of crossbred dairy cow adoption decisions and intensity by dairy farmers through primary data sourced from 204 dairy farmers using a multi-stage sampling approach. Heckman’s two-stage model, the perception index, and Kendall’s coefficient of concordances were used for data analysis. This study found that there is a positive perception regarding crossbred dairy cows and a good attitude among farmers. However, less than fifty per cent of the dairy farmers had adopted crossbred dairy cows. Besides, the adoption decision of crossbred dairy cows is influenced by training, feed shortages, credit service, vet service, age, and experience; adoption intensity is influenced by extension services, vet services, feed shortages, and credit services. Therefore, the livestock sector of the district or regional government should work on the mentioned policy variables mainly related to the full package (feed, vet services, and credit access) of crossbreed dairy production because breed introduction alone does not enhance the adoption and intensity of using the technology.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/20421338.2023.2215663 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rajsxx:v:15:y:2023:i:7:p:885-894

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rajs20

DOI: 10.1080/20421338.2023.2215663

Access Statistics for this article

African Journal of Science, Technology, Innovation and Development is currently edited by None

More articles in African Journal of Science, Technology, Innovation and Development from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().