Analysis of Factors Influencing Poverty in The Special Region of Yogyakarta

This study analyzes the factors influencing poverty in the Special Region of Yogyakarta Province (DIY). Among the five provinces on the island of Java, DIY is recorded as the poorest. This study incorporates health and education as independent variables, unemployment as a mediating variable, and poverty as the dependent variable. This quantitative research employs secondary data from BPS, covering five districts/cities in DIY Province from 2010 to 2020. and applies the multiple linear regression method using panel data analysis. The results reveal that health has a positive and significant effect on unemployment, while education has a negative and significant effect on unemployment. Furthermore, unemployment positively influences poverty. In addition, unemployment mediates the relationship between health and poverty negatively and significantly, as well as mediates the relationship between education and poverty positively and significantly. This study highlights that improvements in health and education must be accompanied by job creation initiatives to optimize their impact on poverty reduction.

Authors

Institutions

Publication Details

Journal
Journal of Development Economic and Social Studies.
Published
2025-05-04
DOI
https://doi.org/10.21776/jdess.2025.04.2.25
Primary Topic
Economic Growth and Fiscal Policies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Factors Influencing Poverty in The Special Region of Yogyakarta

Khusnul Ashar, Stefani Angela Sitorus
Journal of Development Economic and Social Studies.
Economic Growth and Fiscal Policies
article

Analysis of Factors Influencing Poverty in The Special Region of Yogyakarta

Khusnul Ashar, Stefani Angela Sitorus
article en

Abstract

This study analyzes the factors influencing poverty in the Special Region of Yogyakarta Province (DIY). Among the five provinces on the island of Java, DIY is recorded as the poorest. This study incorporates health and education as independent variables, unemployment as a mediating variable, and poverty as the dependent variable. This quantitative research employs secondary data from BPS, covering five districts/cities in DIY Province from 2010 to 2020. and applies the multiple linear regression method using panel data analysis. The results reveal that health has a positive and significant effect on unemployment, while education has a negative and significant effect on unemployment. Furthermore, unemployment positively influences poverty. In addition, unemployment mediates the relationship between health and poverty negatively and significantly, as well as mediates the relationship between education and poverty positively and significantly. This study highlights that improvements in health and education must be accompanied by job creation initiatives to optimize their impact on poverty reduction.

Journal of Development Economic and Social Studies.Vol. 4(2)
University of Brawijaya (ID)
Openalex Percentile: Top 68%
Economic Growth and Fiscal Policies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Analysis of Factors Influencing Poverty in The Special Region of Yogyakarta — Khusnul Ashar, Stefani Angela Sitorus · Journal of Development Economic and Social Studies. (2025) | TGRS Research Map | TGRS