Determinants of Livestock Production Development of Smallholder Farmers’: The Case of Bedele District, Bunno Bedele Zone, Western Ethiopia

AMENU LETA DUGUMA

Abstract


Livestock production is undertaken both in highland and lowland of Ethiopia. The study assessed determinants of livestock production development through identifying the constraints and opportunity to production developments. The study adopted a cross sectional survey design. The district was randomly selected from zones. To undertake the assessment three kebele were selected for the same cases from these districts. Using proportionate sampling technique a total of 99 respondents was selected from the kebele where by ten were female headed and 89 were male headed households. Descriptive statistics like mean and percentage was used to describe the socio-economic data of respondents. Some opportunities available for livestock production development in the study area are availability of water, supply of improved breed, feed availability, credit services, veterinary supply and mixed crop-livestock production system.  Econometric model a multiple linear regression analysis has been carried out to find the factors influence livestock production development of smallholder farmers’. The results of the multiple linear regression model showed that from a total of ten explanatory variables were included in the model, of which education level , extension services ,  availability of market information, availability of grazing land, Artificial insemination  and veterinary service were found to be statistically significant to livestock production development. The multiple linear regression result show that livestock production development in the study area is determined by availability of grazing land, extension services, artificial insemination and veterinary service, availability of market information  education level at 1%, and 5% significant level respectively.

Keywords: Determinants, Smallholder farmers, Livestock Production development, multiple linear regression models

DOI: 10.7176/JEES/9-8-03

Publication date: August 31st 2019


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ISSN (Paper)2224-3216 ISSN (Online)2225-0948

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