Probit Estimation Model: Influence of Socio-Economic Factors on the Probability of Farmers’ Household Food Security Level

Abstract

Food security is one of the global strategic issues in a country’s development. This research conducted in Bone Regency, Indonesia, analyzes the influence of socio-economic factors on the probability of food security in farmer households. The research method used is quantitative with cross-sectional data and model analysis with ordered probit estimation with the Maximum Likelihood Estimation (MLE) method. The research location was chosen by purposive sampling, considering that this location is still classified as food insecure based on the Bone District Food Security and Vulnerability Atlas (FSVA) Report. The sampling technique was accidental sampling, with 84 farmer households. The findings indicate that the probability of the food security level of farmer households is positively influenced by certain socio-economic conditions, including household income and education level, while other socio-economic factors, such as the age of the household head and the number of family members, have no significant effect. Special attention to variables that have no significant effect is expected to increase the chances of food security in farmer households. There is a need to provide and support access to information on the importance of food security and economic opportunities for many family members. Likewise, food support is protection against food insecurity for household heads who are no longer at productive age.