Government Spending, Population, and Poverty

Abstract

This study aims to determine the effect of government spending on social assistance, subsidies, and population on poverty for the 2010-2020 period in West Sumatra. Test data analysis using descriptive statistical analysis, classical assumption test, multiple linear regression analysis, and hypothesis testing using partial tests, simultaneous tests, and Adjusted R Square. Data processing method using SPSS Version 16 and Microsoft Excel 2010. The results showed that there was no effect of social assistance on poverty in West Sumatra Province with a probability value of 0.486 > 0.05, the subsidy variable on poverty in West Sumatra Province with a significant probability of 0.610 > 0.05, and the population variable on poverty in West Sumatra Province has a significant and negative effect with a significant probability of 0.000 <0.05. Simultaneously there is the influence of social assistance, subsidies, and the population on poverty with a probability value of 0.000 <0.05. The magnitude of the influence of the independent variable on the dependent variable is shown by the adjusted r-square value of 89.9% and the remaining 10.1% is explained by other factors. The results of the study stated that social assistance and subsidies did not affect poverty, while the government stated that the program was aimed at alleviating poverty. So it is hoped that the programs created by policymakers at the provincial level are truly on target.