Determinants Of house hold food Insecurity: The Case of Rural Kebele Sindire Dawa City Administration

Abstract

The study attempts to examine the major Determinants of Food Insecurity among Rural Households using the survey data collected from kebeles randomly selected households from four Rural Kebeles of Dire Dawa City Administration of Ethiopia. To do so, both descriptive statistics and econometric model known as binary logistic regression analysis were employed. A two stage random sampling technique was employed to select sample households randomly from four Kebeles using probability proportional to size. Both primary and secondary data were used, and the data were collected primarily through interview schedule from 120 households. Household calorie acquisition was analyzed to measure household food security status. Out of 120 households, 19.16 percent and 80.83 percent were food secure and insecure, respectively. The model was fitted with eleven variables, of which six were found to be significant. Family size, livestock holding, access to credit, annual income, food aid and dependency ratio were significant variables that in determining influence house hold food insecurity in the study area. The econometric result revealed that the probability of being food secure increase with increase in livestock ownership, off farm income , use to credit and food aid received while large house hold size and dependency ratio reduce the probability of household to be food secure. The study findings suggest that in selecting priority intervention areas, the food security strategy should consider statistically significant variables as the most important areas.