The Contribution of Irrigation to Food Security in Farta Woreda, South Gondar Zone, Amhara National Regional State, Ethiopia

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Date

2019-06

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Addis Ababa University

Abstract

Objectives of the study were to Measure the food security level of households in the study area, Identify determinants of food security and investigate the contribution of irrigation to food security. Quantitative and qualitative approach was used to generate empirical data to help address the condition. The study consisted sample of 108 households selected through cluster multistage sampling. Food Consumption Score, Household Food Insecurity Access Scale, Descriptive statistics, Econometric model and Propensity Score Matching were the analysis tools in the study and The findings showed that the research area were threatened by food insecurity even if it is in a improved condition comparing to other Woredas in addition irrigation contribution for food security was not found as expected based on Propensity Score Matching. Since, non-participants of irrigation were found to be food secure as that of the irrigation users. An inferential relationship was computed using Pearson correlation and t-test analysis to investigate the relationship between various variables and the econometric model (Tobit) result showed that among fourteen variables eight variables were significant and they affect food security at different significance level. Based on the results obtained, the following implications are found to be of paramount importance: agricultural production activities shall be assisted with enough market information and to offer the products to market infrastructure shall be developed, agricultural activities shall focus on increase household income and reduce food insecurity, as well agricultural extension practices shall focus on the benefits of having modern livestock raring practices for the purpose of milking and irrigation practices to come up with effective results. Key words: food security, irrigation, propensity score matching, Food Consumption Score, Determinants, Tobit Regression

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Keywords

food security, irrigation, propensity score matching, Food Consumption Score, Determinants, Tobit Regression

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