Agricultural Technology Adoption, Commercialization and Food Security linkage: Micro Evidence from Boricha Wereda, Sidama Zone snnpr Ethiopia
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Date
2018-06
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Addis Ababa University
Abstract
This study was aimed at examining the impact of .agricultural technology adoption on agricultural productivity, level of commercialization and household food security, and also to identify determinants of technology adoption, commercialization, household dietary diversity and level of food insecurity of households in Boricha Wereda, Sidama Zone southern Ethiopia. A total of 334 household heads from the wereda were selected by random sampling method from three kebeles. Descriptive and inferential statistics as well as econometric models were used. In this regard, Propensity Score Matching (PSM) was put in place to examine impact of adoption on productivity, commercialization, and food security status. Logit and Tobit models were used to identify determinants of adoption and commercialization, respectively. Multinomial logistic regression was used to sort out factors that gear households solely to engage in commercialization or solely to adopt agricultural technology and to engage both in commercialization and technology adoption. Eventually, ordered logistic regression was deployed to examine the effects of technology adoption on the food insecurity status of households. The result indicated that adoption showed positive impact on productivity, commercialization and dietary diversity, and negative impact on food insecurity. Farmer’s union memberships, farm size, livestock holding, off farm income were positively urge households to adopt while education status and age negatively related with adoption. Livestock holding, farm size and off farm income were positively related to adoption-commercialization. Adoption, livestock holding, farm size and vehicular road showed positive relation while market distance, market information and productive labor showed negative relation with commercialization. Adoption, livestock holding and marital status were positively related with high dietary diversity. Finally, adoption, productive labor, family size, marital status and maximum education, all except age, were negatively related to food insecurity. It is therefore important to note that the technology adoption should be promoted to combat food insecurity and to enhance commercialization in the study area.
Key words: Adoption, commercialization, dietary diversity, food security