भूगोल और प्राकृतिक आपदाओं का जर्नल

भूगोल और प्राकृतिक आपदाओं का जर्नल
खुला एक्सेस

आईएसएसएन: 2167-0587

अमूर्त

Rural Household Resilience to Food Insecurity: The Case of Mekiet District, North Wollo Zone, Amhara National Regional State, Ethiopia

Tadsual Asfaw1* , Birhan Sisay Demsie2

Many governments and developmental organizations disseminated millions of cash for reducing the impact of food insecurity in developing countries including Ethiopia. Mekiet is one districts in Amhara region which is highly prone to food insecurity. At present, one solutions to reduce food insecurity is building resilience at households’ level. Therefore, this study aims to address the rural household resilience to food insecurity in Mekiet district. Cross sectional research design was conducted in two agro ecological zones of Mekiet district from lowland and midland involving 228 respondents. The study employed quantitative and qualitative approach. Multi-stage sampling techniques were employed to select sample households. Factor analysis was employed to analyze the data. The result from factor analysis using Technical Assistance to Nongovernmental Organization approach showed that the latent variables of absorptive and adaptive capacity have a load of 0.98 and 0.79 respectively. On the other hand, transformative capacity is found to be a negative load (-0.78), all variables are found to be statistically significant. The mean household resilience capacity index are 0.51. The variables of absorptive and adaptive capacities are positively associated with household resilience capacity. In contrast, transformative capacity is found to be a strong negative load. All those loads are significant with absolute value of factor loadings greater than 0.364 which is recommended for sample size of 200 and above. Those variables are also highly correlated with resilience capacity. The study recommends, resilience programs should be implementing at district, community, and households levels to enhance resilience to food insecurity.

अस्वीकरण: इस सार का अनुवाद कृत्रिम बुद्धिमत्ता उपकरणों का उपयोग करके किया गया था और अभी तक इसकी समीक्षा या सत्यापन नहीं किया गया है।
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