Abstract
This study identified the socio-economic factors that significantly influence adoption of agricultural extension package technologies on sorghum crop production. Primary and secondary data were collected for the study. In the sampling procedure, multi stage sampling procedure was used. Data was analyzed using both descriptive statistics and econometric models. In econometric models Multivariate Probit (MVP) and Double Hurdle models were used. Multivariate Probit output indicates that, the probability of the household to use inorganic fertilizer (NPS and Urea), organic fertilizer, crop protection chemicals and row planting were 43.43, 63.07, 12.51, and 25.04%, respectively. Multivariate Probit output also shows that, the joint probability of success and failure of using all agricultural extension package technologies were 3.18 and 24.81%, respectively. Multivariate Probit and Double Hurdle models result confirm that district, extension visit, livestock holding, perception of the expectation of the coming rainfall, total farm land and participation on agricultural training significantly affect adoption decision and intensity use of different agricultural extension package technologies. Key words: Household, agricultural extension package technology, Multivariate Probit model, Double Hurdle model.
Highlights
The most fundamental challenge facing the world today and Ethiopia as a country, is food insecurity
This study identified the most important determinants affect decision to use agricultural extension packages technologies (AEPTs) using a Multivariate Probit model
The Double Hurdle model output shows that, when off-farm income increases by 1% intensity use of organic fertilizer decreases by 5.23 Quintals at 1% significance level on sorghum crop production
Summary
The most fundamental challenge facing the world today and Ethiopia as a country, is food insecurity. The major changes made in PES as compared to Participatory Demonstration Training and Extension System (PADETS) were organization of farmers in development groups and social networks (one in five farmers groups, development units), farmers training center (FTC) categorization into watershed management and fullpackage extension service provision to adopt better technologies (MoA and Agricultural Transformation Agency (ATA), 2014). Despite such efforts to make the extension system effective and efficient, the system is not producing the desired results (MoA and ATA, 2014). Effective and efficient use of AEPTs is encouraged by concerned stakeholders to boost agricultural crop productivity at farm level
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