The Role of Infrastructure on Poverty in Papua Island of Indonesia

Abstract

This research aims to analyze the influence of infrastructure on poverty levels in 21 districts/cities of Papua Province. This research uses a quantitative approach by combining cross section data from 21 districts/cities in Papua Province and time series data for 2008, 2011, 2014, 2018 and 2021. The data used comes from Village Potential statistical data provided by the Central Statistics Agency (BPS). The method used in this research is the panel data regression method with an estimation method from the selected model, namely the Fixed Effect Model (FEM) after testing classical assumptions and selecting the best model. The research results show that health facilities, cell phone signals, electricity users, and street lighting simultaneously have a significant effect on poverty levels. Partially, health facilities, electricity users and street lighting have a significant effect on poverty levels, while cell phone signals do not have a significant effect on poverty levels.