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Analisis Determinasi Kemiskinan Di Provinsi Maluku Periode 2019–2023 : Pendekatan Regresi Data Panel Haidar Akhmad Al Barabasi; Hastarini Dwi Atmanti
Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis Vol. 5 No. 3 (2025): November : Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jaemb.v5i3.6944

Abstract

This study aims to analyze the effect of Gross Regional Domestic Product (PDRB), Human Development Index (IPM), and Unemployment Rate on poverty levels in Maluku Province during the 2019-2023 period. A panel data regression approach was employed, allowing a comprehensive analysis by combining cross-sectional and time-series data. The results show that PDRB has a positive effect on poverty, while IPM has a significant negative effect, indicating that improvements in quality of life can reduce poverty. In contrast, the unemployment rate does not show a significant effect on poverty. Overall, the regression model used has a high explanatory power, with an R-squared of 0.952. This study contributes significantly to understanding the factors influencing poverty in island regions and provides insights for formulating more effective development policies in Maluku Province.
Analisis Ketimpangan Pendapatan di Indonesia Periode 2017-2023 (Studi kasus 34 Provinsi di Indonesia) Haidar Akhmad Al Barabasi; Hastarini Dwi Atmanti
JURNAL EKONOMI BISNIS DAN MANAJEMEN Vol. 3 No. 1 (2025): Januari : JURNAL EKONOMI BISNIS DAN MANAJEMEN
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jise.v3i1.1097

Abstract

This research examines the analysis of the influence of income inequality in a case study of 34 provinces in Indonesia for the 2017-2024 period. The method in this research uses panel data regression analysis, with secondary data obtained from BPS. In partial research results, the unemployment rate and poverty rate variables have a positive effect. significant to income inequality, while the variables HDI and Open Investment have a negative effect on income inequality, simultaneously the Unemployment Rate, HDI, Poverty Level and Open Investment together or simultaneously have a significant effect on income inequality.
Analisis Ketimpangan Pendapatan di Indonesia Periode 2017-2023 (Studi kasus 34 Provinsi di Indonesia) Haidar Akhmad Al Barabasi; Hastarini Dwi Atmanti
JURNAL EKONOMI BISNIS DAN MANAJEMEN Vol. 3 No. 1 (2025): Januari : JURNAL EKONOMI BISNIS DAN MANAJEMEN
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jise.v3i1.1097

Abstract

This research examines the analysis of the influence of income inequality in a case study of 34 provinces in Indonesia for the 2017-2024 period. The method in this research uses panel data regression analysis, with secondary data obtained from BPS. In partial research results, the unemployment rate and poverty rate variables have a positive effect. significant to income inequality, while the variables HDI and Open Investment have a negative effect on income inequality, simultaneously the Unemployment Rate, HDI, Poverty Level and Open Investment together or simultaneously have a significant effect on income inequality.