Analysis of Vulnerability to Food Insecurity in Rural Households’ of Ethiopia
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Date
2022-06
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Addis Ababa University
Abstract
This study examines Analysis of vulnerability to food insecurity in rural households of Ethiopia, using a sample data of 3115 rural households from the Ethiopian socio economic Survey (ESS). Calorie method was employed to determine food insecurity and vulnerability. In addition to descriptive statistics, GLS and the Logit models was used to analyze the data. The Results indicates that, Majority of the households were found to be food insecure, which is 62.95% were found to be food insecure (1961 out of 3115) whereas the rest 37.05% of the households were found to be food secure. Furthermore, the estimated logit model result revealed that Rainfall shock, Death of livestock were positively and significant influence current food insecurity status of household, on the other hand, age of household head, Education level of the household head, annual household farm income, participation in off farm activity, access to credit and remittance were negatively affected the extent of households’ food insecurity. General Least Squares regression results indicate that Total land holding in ha of household head has a significantly positive correlation with calorie intake and Households access to credit significantly increase expectation of food consumption. Empirical finding also shows that rain fall shocks (environmental shocks) have larger impact on vulnerability to food insecurity. Based on the intensity of their vulnerability, households were grouped highly vulnerable-food secure (18.4 percent), and low vulnerable-food secure (45.84 percent).Overall, about 54.4 percent of households were categorized as vulnerable to food insecurity.
Key words: Vulnerability as expected poverty, Vulnerability to food insecurity, Food insecurity, Ethiopia