Fiscal decentralization, governance, and corruption: evidence from Indonesian local governments (2010–2021)

The purpose of this research is to explore the interaction between fiscal decentralization and governance, which jointly affect the level of corruption in local governments in Indonesia. By utilizing panel data from 548 district/municipal governments during the period from 2010 to 2021, this research aims to examine the impact of Local Own Source Revenue (LOSR), Balance Funds, and budget efficiency on the level of corruption. Governance is captured by audit reports of internal control weaknesses. By utilizing panel regression, this research explores the direct and moderating effects of governance. The results indicate that LOSR and budget efficiency are negatively related to the level of corruption, whereas Balance Funds are positively related to the level of corruption. Governance moderates the anti-corruption impact of budget efficiency but surprisingly exacerbates the pro-corruption impact of LOSR and Balance Funds. Further robustness checks indicate the existence of different misuse vulnerabilities for General Allocation Funds (GAF) and Special Allocation Funds (SAF). This research extends the existing literature on fiscal decentralization by exploring the interaction between different fiscal decentralization instruments and the level of corruption.

Authors

Institutions

Publication Details

Journal
Cogent Business & Management
Published
2026-04-06
DOI
https://doi.org/10.1080/23311975.2026.2652136
Primary Topic
Local Government Finance and Decentralization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fiscal decentralization, governance, and corruption: evidence from Indonesian local governments (2010–2021)

Mahjus Ekananda, Septian Bayu Kristanto, Ratna Wardhani, Dodik Siswantoro
Cogent Business & Management
Local Government Finance and Decentralization
article

Fiscal decentralization, governance, and corruption: evidence from Indonesian local governments (2010–2021)

Mahjus Ekananda, Septian Bayu Kristanto, Ratna Wardhani, Dodik Siswantoro
article en

Abstract

The purpose of this research is to explore the interaction between fiscal decentralization and governance, which jointly affect the level of corruption in local governments in Indonesia. By utilizing panel data from 548 district/municipal governments during the period from 2010 to 2021, this research aims to examine the impact of Local Own Source Revenue (LOSR), Balance Funds, and budget efficiency on the level of corruption. Governance is captured by audit reports of internal control weaknesses. By utilizing panel regression, this research explores the direct and moderating effects of governance. The results indicate that LOSR and budget efficiency are negatively related to the level of corruption, whereas Balance Funds are positively related to the level of corruption. Governance moderates the anti-corruption impact of budget efficiency but surprisingly exacerbates the pro-corruption impact of LOSR and Balance Funds. Further robustness checks indicate the existence of different misuse vulnerabilities for General Allocation Funds (GAF) and Special Allocation Funds (SAF). This research extends the existing literature on fiscal decentralization by exploring the interaction between different fiscal decentralization instruments and the level of corruption.

Cogent Business & ManagementVol. 13(1)
University of Indonesia (ID), Krida Wacana Christian University (ID)
Peace, Justice and strong institutions
Openalex Percentile: Top 28%
Local Government Finance and Decentralization
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.