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All Journal Jurnal Manajemen Keuangan Publik Jurnal Bina Praja Jurnal Manajemen Perbendaharaan
Priambodo, Aln Pujo
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

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Pengaruh PAD, DAU, DBH, dan Belanja Modal terhadap PDRB dan Kemiskinan di Kabupaten Sidoarjo Priambodo, Aln Pujo; Hidayat, Nur Wahyu
JURNAL MANAJEMEN KEUANGAN PUBLIK Vol 8 No 1 (2024)
Publisher : Polytechnic of State Finance STAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31092/jmkp.v8i1.2279

Abstract

The purpose of this study is to determine the impact of Regional Own Generated Funds (PAD), General Allocation Funds (DAU), Revenue Sharing Funds (DBH), and local government capital expenditures on economic growth (PDRB) and poverty levels in Sidoarjo Regency. This research utilizes multiple linear regression analysis method through SPSS software version 25 in data processing. The PAD, DAU, DBH, capital expenditure, GRDP, and poverty data used in this study are taken within period of 2014 to 2020. The results of the study showed that PAD, DAU, DBH, and capital expenditure together did not have a significant effect in increasing economic growth. However, partially, PAD has a significant positive impact on economic growth while DAU, DBH, and capital expenditures have no significant effect even though they affect GRDP growth. In the poverty model, the results show that PAD, DAU, DBH, and local government capital expenditures, either simultaneously or partially, do not have a significant impact in reducing poverty levels in Sidoarjo Regency.
Strategi Intervensi Pemerintah dalam Penanggulangan Kemiskinan: Studi Kabupaten dan Kota di Indonesia Tahun 2016-2023 Priambodo, Aln Pujo; Djirimu, Mohammad Ahlis
Jurnal Bina Praja Vol 16 No 3 (2024)
Publisher : Research and Development Agency Ministry of Home Affairs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21787/jbp.16.2024.489-508

Abstract

Poverty remains a significant challenge in Indonesia, with a national rate of around 9.36% in 2023 and 16 provinces exceeding this poverty level. This study aims to analyze poverty patterns across districts and cities by using K-Means Clustering and examine the effectiveness of government interventions in poverty reduction through panel data regression with the Fixed Effect Model (FEM). Results indicate that higher-poverty areas benefit most from social assistance, village funds, credit schemes, and GRDP, while capital spending exacerbates poverty. On the other hand, lower-poverty areas achieve reductions through capital spending, village funds, and GRDP, with minimal impact from social assistance and credit schemes. Also, these results emphasize the need for targeted interventions, such as optimizing social assistance and credit access programs in higher-poverty areas and implementing growth-focused strategies, including physical infrastructure development, in lower-poverty regions.
Peran Strategis Belanja Perjalanan Dinas dalam Mendorong Perekonomian Sektor Pariwisata: Analisis Data Panel di Indonesia Priambodo, Aln Pujo; Yuniarianti, Alfiana
Jurnal Manajemen Perbendaharaan Vol 6 No 1 (2025): Jurnal Manajemen Perbendaharaan
Publisher : Direktorat Sistem Perbendaharaan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33105/jmp.v6i1.565

Abstract

Indonesia's tourism sector holds substantial potential for driving community-level economic development. Within this sector, the accommodation and food and beverage services are among the primary beneficiaries of government travel expenditures. Nevertheless, such expenditures are often perceived merely as operational or supporting activities with limited macroeconomic implications. Therefore, this study aims to examine the effect of government travel spending on the economy, particularly in the tourism sector. The impact is measured by using the best panel regression model among Fixed Effect, Random Effect, Pooled OLS, First Difference, Between OLS, and Fama-MacBeth models. The Between OLS estimation emerged as the best-fitting model, revealing that government travel spending significantly contributes to tourism sector growth, with an estimated increase of 0.64 points for each additional spending. Additionally, other independent variables—such as the human development index, foreign direct investment, and domestic direct investment—also positively contribute to the RGDP in the accommodation and food and beverage sector.
Co-Authors Moh. Ahlis Djirimu Nur Hidayat, Wahyu Yuniarianti, Alfiana