The Influence Of Population, Gross Regional Domestic Product (GRDP), Labor Force Participation Rate (LFPR) And Education On Poverty Levels In NTT Province

This research aims to analyze the influence of population, Gross Regional Domestic Product (GRDP), Labor Force Participation Rate (LFPR), and education on poverty levels in regency and cities in NTT Province. This research uses secondary data from the NTT Provincial Central Statistics Agency for 2017–2023. Using panel data regression analysis, namely an analysis method that combines cross-sectional and time series data, is used in this research. Based on the panel data regression results, the Fixed Effect Model (FEM), which is the best model in this research, was selected and evaluated using Eviews-12 software. The research results show that Gross Regional Domestic Product (GRDP), Labor Force Participation Rate (LFPR), and education are able to reduce poverty levels significantly. However, the population in NTT Province has no significant influence on the poverty level in cities and regency in NTT Province. The poverty level in regency and cities in NTT Province is influenced by the following factors: population, Gross Regional Domestic Product (GRDP), Labor Force Participation Rate (LFPR), and education. The policy implications of controlling population growth, increasing gross regional domestic product, creating employment opportunities, educational scholarships.