2025/01/17 by Zuhairan Yunmi Yunan, Ben Freyens, Yogi Vidyattama · 1 voice
Social Sciences · Computer Science · Economics, Econometrics and Finance · #Corruption and Economic Development #Economic Growth and Development #Taxation and Compliance Studies
paper · doi:10.1080/13547860.2024.2447676
openalex publication_date 2025/01/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/06/15
This paper employed empirical models and judicial corruption reports to analyse Indonesian corruption. Economic, social demographic, infrastructural, and political variables may influence corruption in Indonesia. A dynamic panel regression model was used to a district-level panel dataset for specified variables from 2004 to 2014. Results indicated that economic and political variables most affected corruption. Additionally, regional study of neighbouring locations showed that corruption eradication initiatives spread. This study indicates that the number of cases prosecuted might also indicate court system progress. When temporal autocorrelation was included to the model, earlier corruption experience boosted present corruption cases.