Diah Setyorini Gunawan
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Pengaruh Dana Bagi Hasil, Dana Alokasi Umum, Dana Alokasi Khusus, Dana Otonomi Khusus, Dana Desa, dan Belanja Daerah terhadap Kemiskinan di Kawasan Papua Diah Setyorini Gunawan; Latifah Latifah; Agus Arifin
EKONOMIKA45 :  Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan Vol. 12 No. 1 (2024): Desember : Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan
Publisher : Fakultas Ekonomi Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/ekonomika45.v12i1.3564

Abstract

Poverty is a complex and multidimensional problem. Papua is an area that has the highest poverty conditions in Indonesia. This research uses panel data consisting of the provinces of Papua and West Papua for the period 2008-2022. The analysis technique used is panel data regression. The results of the analysis show that profit sharing funds and village funds have a negative and significant effect on poverty in Papua. General allocation funds and special allocation funds have a positive and significant effect on poverty. Special autonomy funds and regional spending have no effect on poverty in Papua. The implication of this research is the need to optimize the realization of DAU, DAK, Special Autonomy Funds, and Regional Expenditures so as to reduce poverty levels.
FAKTOR SOSIAL EKONOMI YANG MEMPENGARUHI KRIMINALITAS DI JAWA TENGAH: ANALISIS EKONOMETRIKA SPASIAL Muhammad Farhan Fadhillah; Diah Setyorini Gunawan; Bambang Bambang
Jurnal Ekonomi Kuantitatif Terapan Vol 18 No 1 (2025): Vol. 18, No. 1, FEBRUARI 2025 (pp.1-149)
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEKT.2025.v18.i01.P05

Abstract

Several previous studies have proven that low socio-economic factors are the causes of crime. Central Java is a province with a fairly low level of socio-economic welfare. However, this province is also one of the provinces with the lowest crime rate in Indonesia. This research aims to prove the socio-economic factors including poverty, education, unemployment, income per capita, and area effect on the total crime in all districts of Central Java. This research is a quantitative research using the panel data from 35 districts of Central Java in the period of 2018-2022. The data was analyzed using spatial econometric methods with a panel data approach. Based on the results of Spatial Auto Regressive (SAR) with Fixed Effect Model (FEM) shows that education and income per capita have significant negative impact on crime. Keywords: Econometrics, Crime, Spatial Classification JEL: C49, K42, R12