Effect of Access to Electricity, Access to Sanitation, Decent Drinking Water, Education, GDP, Population and Capital Expenditure on The Percentage of Poor People

Abstract

This study analysis of the percentage of poor people in eastern Indonesia:regencies/cities in East Nusa Tenggara, Maluku and Papua. This study used panel dataregression analysis techniques with Pooled least Square (PLS), Fixed Effect Model (FEM), andRandom Effect Model (REM). This study used panel data for 2010-2019 from 82regencies/cities in East Nusa Tenggara, Maluku and Papua. Research has two objectiveswhere, the first goal is to find a representative panel data regression model against theresearch data. The purpose of the second study was to find variables that affect thepercentage of poor people in East Nusa Tenggara, Maluku and Papua. The results of the studyfound that the fixed effect model (FEM) is the best model for analyzing the percentage of poorpeople. The GDP of regencies/cities and education are variables that have a significant effecton reducing the percentage of poor people in East Nusa Tenggara, Maluku and Papua.