Analisis Variabel Makro Ekonomi Terhadap Kemiskinan di Jawa Timur 2010-2021

Abstract

This study aims to measure how much influence economic growth, population growth, and Human Capital have on Poverty Levels in East Java. This study uses secondary data in the form of panel data, with time series data (2010-2021) and cross sections (4 Regencies/Cities). The data analysis method used in this research is explanatory research with a quantitative approach and uses panel data regression analysis which includes model fit tests, statistical tests, and classical assumption tests. This study uses the Eviews 10 tool. The dependent variable used in this study is the poverty rate, while the independent variables are economic growth, population growth, and human capital. Based on the model suitability test that has been carried out by the Chow test and the Hausman test and both show that the Fixed Effect Model is the best model that can be used. Based on the results of this study it can be concluded that economic growth has a negative and significant effect on the poverty rate in East Java in 2010-2021. Occupation growth has a negative and insignificant effect on the poverty rate in East Java in 2010-2021. Human Capital has a negative and significant effect on the poverty rate in East Java in 2010-2021.