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

doi:10.7176/jesd/12-19-02

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

Highlights

Africa is the continent where the economy’s backbone is agriculture and where the largest percentages of people are poor farmers
The model result indicated that all other factors remaining constant, probability of dairy information access of participant household head increases by 39.10% compared to non-participant household head
The finding of this study revealed that education level of household heads was found to influence positively households to access dairy information

Summary

Introduction

Africa is the continent where the economy’s backbone is agriculture and where the largest percentages of people are poor farmers. Ethiopia is known for its large livestock population in Africa, with 58 million cattle, 24 million goats, 27 million sheep, and 49 million chickens (CSA, 2015). The dairy sector contributes considerably to the national Gross Domestic Product (GDP) with annual milk production estimated about 3.8 billion liters from cattle and 165 million liters from camel (CSA, 2013). Low agricultural production and productivity are major problems faced by the country. These result wide gaps between potential demands of the growing population of Ethiopia. The government planned to almost double domestic milk production between 2015 and 2020(Zijlstra et al, 2015)

Methods

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Discussion

Conclusion