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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.
Evaluating Agricultural Credit and Climate-Related Government Expenditure Effect on Agriculture GDRP in Indonesia Priambodo, Aln Pujo; Yuniarianti, Alfiana
Indonesian Treasury Review: Jurnal Perbendaharaan, Keuangan Negara dan Kebijakan Publik Vol. 11 No. 2 (2026): Indonesian Treasury Review: Jurnal Perbendaharaan, Keuangan Negara dan Kebijak
Publisher : Direktorat Jenderal Perbendaharaan, Kementerian Keuangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33105/itrev.v11i2.1428

Abstract

Research Originality – This research shifts from yearly national datasets to a quarterly sub-national analysis using a dual Fixed Effect Model (FEM) and output-oriented Data Envelopment Analysis (DEA) framework. It establishes an empirical benchmark for sub-national climate finance synergy, addressing a significant gap in global literature. Research Objectives – The study aims to determine the impacts of agricultural credit and climate spending on regional GRDP, construct provincial efficiency benchmarks via DEA, and assess credit-expenditure synergy to inform performance-based fiscal management. Research Methods – A two-stage analysis was employed. First, an FEM—validated by Chow and Hausman tests—measured input impacts on agricultural GRDP. Second, a DEA based on Variable Returns to Scale (VRS) captured structural differences and economic capacities for benchmarking. Empirical Results – The FEM analysis shows that although credit instruments generated substantial marginal returns, the impact of climate-tagged expenditures was mixed. CA_SE demonstrated positive multipliers, while CM_SE and AGRI_LE were either non-significant or associated with negative impacts, indicating potential fiscal inefficiencies. The model had a high degree of fitness and passed the robust diagnostic tests, validating the coefficients. The analysis revealed a resource-performance gap where high-input provinces did not achieve efficient outputs, whereas eight provinces achieved an optimal resource-output efficiency ratio. Implications – The study advocates for performance-based fiscal policies over volume-based finance. It highlights that credit access requires optimized governance to ensure effectiveness and recommends transitioning from administrative mitigation spending toward performance-based infrastructural investments.