Work

The Effect of Economic Growth, per Capita Expenditure, and Poverty Levels on the Human Development Index in Central Java Province

Year: 2025

Type: article

Abstract: This study aims to analyze the effect of economic growth, per capita expenditure, and poverty level on the Human Development Index (HDI) in Central Java Province using multiple linear regression analysis. The research utilizes data from 35 regencies/cities in 2019 obtained from the Central Bureau of Statistics. Classic assumption tests were conducted, and the regression model was found to be BLUE (Best Linear Unbiased Estimator). The results show that per capita expenditure and poverty levels significantly affect HDI, while economic growth does not show a significant partial effect. The regression model explains 86.1% of the variation in HDI, indicating its reliability as a predictive tool for regional human development planning. Keywords: Human Development Index, Economic Growth, Per Capita Expenditure, Poverty, Multiple Linear Regression, Central Java.

Source: International Journal of Research and Review

DOI: 10.52403/ijrr.20251033

Authors: Heri Soelistyo Utomo, Nurcahya Yulian Ashar, Hafidh Khoerul Fata, Meta Kurniawati

Institution: Diponegoro University

Language: English

Topic: Economic Growth and Fiscal Policies

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDGs: Decent work and economic growth, No poverty

Open Access status: diamond

Funder: Universitas Diponegoro