DETERMINANTS OF FOOD POVERTY: A QUANTILE REGRESSION APPROACH

This paper examines the incidence, depth and severity of food poverty and profiles the food poor in a developing country context. It also examines the drivers of food poverty in Uganda. Based on data obtained from Uganda National Household Survey 2016/17 and 2019/20, this study employed the Foster-Greer-Thorbecke (FGT) index for poverty measurement. The results show that food poverty increased from 36.6% in 2016/17 to 40.6% in 2019/20. A quantile regression analysis was used to assess the influence of different factors at different points in the distribution of food. This points to the need for targeted interventions for food poverty and general poverty reduction in Uganda and other developing countries.