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Simultaneous estimation of multiple dairy technologies uptake

Deribe, Yared and Tesfaye, Agajie (2017): Simultaneous estimation of multiple dairy technologies uptake. Published in: International Journal of Environmental & Agriculture Research , Vol. 3, No. 5 (1 May 2017): pp. 48-61.

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Abstract

The low productivity of the Ethiopian dairy sector has been explained by the genetic potentials and management practices. Milk production and consumption largely rely on the indigenous cows. To enhance the contribution of dairy to household food security, nutrition, and income, the adoption of improved dairy breeds together with the component practices is indispensable. To study the adoption of the dairy technologies and the factors stimulating the choices, a cross-sectional household survey was conducted in the central and eastern Ethiopia. Results declare that the rate of adoption of improved breeds, artificial insemination, and improved forage remained to be limited. The uptake of concentrate feeding is found to be relatively better. As the joint multivariate probit estimation confirmed, there is complementarity and interdependence in the uptake of improved breeds, artificial insemination, concentrate feeds, and improved forages. The utilization of forage lagged behind to complement the adoption of improved cows. Tobit model determination confirmed that the same factors are affecting the adoption decisions. The factors responsible for the joint adoptions, the number of cows owned and intensity of adoption include education status, household wealth, access to markets and district centers, contacts with extension and gender roles. Both the joint and individual analyses highlighted the need for strategies that could overcome the constraints and ensure better uptake of the technologies.

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