Abstract
The research aims to know the impact that spending on social protection, with its three components: social security, social protection network, and social assistance, has in reducing poverty levels in developing countries. The spatial boundaries of the study represented the countries (Albania, Bulgaria, Armenia, Moldova, Mongolia, South Africa, Turkey, Georgia, Kyrgyzstan, Malta, Brazil, Costa Rica, Paraguay, Ecuador, and Mexico) for the period from 2010-2021, and basic models were used in the research to analyze the data. (panel data) for unbalanced data, the aggregate regression model, the fixed effect model, the random effect model, the Lakrange multiplier test, and the regression-based Hausman test were used. The research concluded that both social security and the protection network have an inverse effect, meaning that increasing the percentage of spending on social security and the protection network as a percentage of the gross domestic product will reduce the poverty rate, while the social assistance variable had a non-significant effect, and this reflects the decrease in the percentage of social assistance from GDP, in addition to most of this aid, are irregular payments and to very limited categories, often during crises, meaning that their impact is temporary and does not contribute significantly to reducing the number of poor people.
