ANALYSIS OF FARMERS' CLIMATE SMART CONTRIBUTIONS TO HOUSEHOLD FOOD SECURITY IN DEJEN WOREDA, NORTHWEST ETHIOPIA

Abstract

In Ethiopia, a country already struggling with poverty and rain-fed agriculture, food insecurity is made worse by climate change, which operates as a vicious cycle. This study's primary objective was to investigate how climate-smart crop production affects household food security in Dejen Woreda. Purposive and simple random sampling will be combined in a random multistage sampling method to choose the study areas and sample respondents of 271 households. Household data was gathered and analyzed using a cross-sectional study methodology. Together numerical and qualitative methods were applied in the investigation. Additionally, data was collected from both primary and secondary sources. The quantitative data was analyzed using multinominal logit and multinominal endogenous switching regression models, while the qualitative data was assessed using Explanation and generalized reasoning. The background characteristics of the sampled units were described using descriptive statistics. Multinominal logistic regression and MNESR models were applied for the impact evaluation to analyze the primary determinants of Shaping farmers' adoption of Climate-Smart Agricultural practices and assess the subsequent impact of these actions on household food security. Statistical techniques such as chi-squared and F-test were applied to look at the changes in features among households that practiced and those that didn't. The findings of an MNESR model showed that increasing the number of CSA combinations enhanced household FCS and HDDS when compared to not implementing new practices. According to the study's empirical findings, the government ought to provide the highest-yielding crops and climate appropriate organic fertilizers, and seasoned family heads ought to impart their expertise to local CSA practices.