DETERMINANTES OF CATTLE DEATH IN ETHIOPIA

Abstract

Cattles are helps to improving food and nutritional security by providing nutrient-rich food products, generate income and employment and act as cushion against crop failure. Provide draft power and manure inputs to the crop sub-sector and contribute to foreign exchange through exports. However, emphasis is given to cattle as they make a significant contribution to the economy of the country. Ethiopia has an immense potential for increasing livestock production, both for local use and for export purposes. However, expansion and productivity was constrained by both infections and non-infectious cause contributes to the morbidity and mortality of young stock .The aim of this study was to identify factor affecting cattle death based on 2019/2020 Livestock agricultural sample survey dataset using count regression model.in this study count regression models such as Poisson regression, negative binomial regression, zero-inflated Poisson regression, zero-inflated negative binomial regression, Hurdle regression, and negative Hurdle binomial regression were applied. Further, there corresponding multilevel count regression models were introduced to check the variation in cattle death per household across the region. Based on multilevel ZINB regression model analysis in the positive count part of the random-intercept ZINB regression model, the variables like; farming types cattle feeding area, treatment, vaccination, household land size, age of household, house hold size and education level found to be statistically significant with cattle death. The ministry of agriculture and involved stakeholders should consider the identified these factors of cattle death while designing policy that will reduced cattle death in Ethiopia and should be work properly to raise awareness of agricultural holders for vaccination of cattle and should improve veterinary services of the country.