Analysis of Household level Determinants of food security in rural Ethiopia: Evidence from North Gondar zone
Abstract 
Analysis of Household level Determinants of food security in rural Ethiopia: Evidence from Northern Gondar zone 
Food insecurity is a major challenge for Ethiopia and for many African countries. This paper assesses household food security and identifies factors affecting food security in two districts of North Gondar zone using household survey from 2016/17. A binary logit model has been used because the dependent variable is dichotomous. A clear understanding of the major causes of food insecurity helps policy makers and planners to formulate new policies that enhance food security. Therefore, this study was conducted to measure food security/insecurity status of households, to identify factors influencing farm household’s food security. In order to achieve these objectives biophysical, demographic and socio-economic data were collected from 200 randomly selected households in a two-step sampling procedure. The survey result shows that about 75% of sample farmers were food insecure. Moreover, based on survey data, the empirical results from logistic regression revealed that seven variables, namely age, family size, amount of cultivated land, livestock ownership, agro ecological zone, household head sex and household participation in any off/non-farm income are significant factors influencing the odds ratio of a household food security status. Thus, the finding implies that female-headed households need support in order to improve their food security. Furthermore, improving access to land and its utilization based on comparative advantage could improve household food security. Family planning can also be important to balance demand and supply of food in such areas. 
Key Words: Determinant, Food Security, Logistic Regression, HFBM