Econometric Analysis of Dairy Farmer’s Access to Agricultural Information in Ada’A District

Abstract

This study set out to analyze the determinants of Dairy Farmer’s access to agricultural information in Ada’a District, East Shoa Zone, Central Ethiopia. A three-stage sampling procedure was employed in which both non-probability sampling for the study area and probability sampling procedures were followed to select the three kebele and 136 respondents. The binary logit model analysis result revealed that sex, education level, social participation, extension contact, credit access, and innovation proneness have significant and positive influence on access to Agricultural information, where as age of household head has significant negative influence on Dairy farmer’s access to Agricultural information  at different significant levels. Therefore, focus ought to be given regarding Gender difference; improving literacy rate, increasing extension worker and creating strong linkage with financial organizations to foster provision of credit service for farmer are strongly recommended to enhance agricultural Development through increasing provision of agricultural information.

Keywords: access, Agricultural information, Dairy farmer, Binary logit

DOI: 10.7176/JESD/12-19-02

Publication date:October 31^st 2021