Determinants of Poverty in the Special Region of Yogyakarta: A Panel Data Analysis Approach

The objective of this research is to examine the factors influencing poverty in the Special Region of Yogyakarta Province between 2015 and 2023. The investigation utilises panel data from six administrative areas, comprising Kulon Progo Regency, Bantul Regency, Gunung Kidul Regency, Sleman Regency, and Yogyakarta City. The study considers three primary variables affecting poverty rates: Education Level, Unemployment, and Human Development Index. Employing panel data regression through the Eviews 9 software, the research adopts a Fixed Effect Model (FEM) approach. The findings reveal that Education Level and Human Development Index demonstrate a significant negative correlation with poverty, whilst Unemployment exhibits a significant positive relationship with poverty levels in the Special Region of Yogyakarta.

Authors

Institutions

Publication Details

Journal
SHS Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/shsconf/202521701008
Primary Topic
Employment and Welfare Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determinants of Poverty in the Special Region of Yogyakarta: A Panel Data Analysis Approach

Muh Syaiful Bakhri, Amin Nasrulloh, Dian Pratista
SHS Web of Conferences
Employment and Welfare Studies
article

Determinants of Poverty in the Special Region of Yogyakarta: A Panel Data Analysis Approach

Muh Syaiful Bakhri, Amin Nasrulloh, Dian Pratista
article en

Abstract

The objective of this research is to examine the factors influencing poverty in the Special Region of Yogyakarta Province between 2015 and 2023. The investigation utilises panel data from six administrative areas, comprising Kulon Progo Regency, Bantul Regency, Gunung Kidul Regency, Sleman Regency, and Yogyakarta City. The study considers three primary variables affecting poverty rates: Education Level, Unemployment, and Human Development Index. Employing panel data regression through the Eviews 9 software, the research adopts a Fixed Effect Model (FEM) approach. The findings reveal that Education Level and Human Development Index demonstrate a significant negative correlation with poverty, whilst Unemployment exhibits a significant positive relationship with poverty levels in the Special Region of Yogyakarta.

SHS Web of ConferencesVol. 217
Economic Research Institute (KZ)
Openalex Percentile: Top 81%
Employment and Welfare Studies
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.