Status and Determinant of Food Insecurity in Girar Jarso Woreda of North Showa Zones, Oromia, Ethiopia

Abstract

The main goal of this study was to look at food insecurity and its major determinant factors of households in Girar Jarso Woreda, North Shoa Zone, and Oromia Regional State, Ethiopia. In order to achieve this goal, demographic and socioeconomic data were collected from 110 randomly selected farm households in the Girar Jarso Woreda's as a special name Torban Ashe and Koticho Kebeles. Two kebeles were chosen using a purposive sampling method. A survey was done to collect primary data from sampled household in the study areas using a structured questionnaire to acquire qualitative and quantitative data on household demographic characteristics. Secondary data was gathered from a variety of sources, including Woreda and kebeles documents, as well as academic research publications, to supplement primary data. The collected data was analyzed using both descriptive and econometric models of analysis. The current household's food insecurity level was determined using the total kilocalorie consumption per adult equivalency per day. A bivariate analysis was used to examine the effect of each predictor variable on the household food insecurity status. Finally, the descriptive analysis revealed that approximately 28 household (25.45%) were food insecure, while 82 households (74.55%) were food secure. Furthermore, the logistic regression model estimates that six of the 13 variables in the logistic model were significant at various probability levels (1, 5, and 10). The age of the household head, the size of the household, the annual farm income, the size of the farm land, the adoption of technology, and the frequency with which the home receives extension services are all factors to consider. Generally, the direction of policy implication and governments has to emphasis on strengthening farmer’s knowledge on adoption of technology by arranging farmer training, field visit and demonstration, and increasing awareness of effective family planning and impact of a high family size on food security.