The Influence of Household Characteristics, Income, and Technology Access on Household Food Security Post-COVID-19 Pandemic

Abstract

Abstract The research was undertaken after synthesizing select findings from prior studies about the effects of COVID-19 on food security. However, it is noteworthy that certain limitations in the research have neglected to address the state of household food security post-COVID-19 pandemic. This scholarly aims to assess the food security situation of households after the COVID-19 outbreak by analyzing the influencing factors, such as age, education level of the household’s chief, number of dependents, income, and access to technology. The employed methodology is a quantitative research strategy that utilizes logistic regression analysis. The study included a sample of 30 households in Pangkajene Kepulauan Regency. The findings indicate that the -2 log-likelihood score was 68.742, less than the Chi-square table value of 70.52. Therefore, it can be concluded that the model met the test criteria for the inclusion of variable X. The Nagelkerke R square coefficient of determination is 88%, indicating that the independent variables exert a statistically significant impact on the dependent variable, namely food security. Partially, education, income, and access to technology notably impact food security. This study has optimistic possibilities for making policy recommendations that governments can use in addressing the global food crisis post-pandemic COVID-19.