EXPLORING FISCAL DECENTRALIZATION IN INDONESIA: THE IMPACT OF SPECIAL AUTONOMY FUNDS ON THE ECONOMIES OF ACEH, PAPUA, AND WEST PAPUA
Bibliographic record
Abstract
Fiscal decentralization represents a pivotal strategy by the Indonesian Government to promote equitable development and alleviate regional disparities. Within this framework, Special Autonomy Funds, integral to the Transfer to Region scheme, act as a critical policy instrument. Despite numerous studies, the definitive role of fiscal decentralization on regional economic dynamics still needs to be solved. This research endeavors to deepen the understanding of fiscal decentralization's impact in Indonesia by examining the effects of the Special Autonomy Funds on the regional economy. Specifically, it assesses how these funds influence the Gross Regional Domestic Product (GRDP) Per Capita at Current Prices (ADHB) across Aceh, Papua, and West Papua provinces. The results show a significant impact of the Special Autonomy Funds on the GRDP Per Capita ADHB, with a high R2 of 94.2% by using panel regression analysis. Keywords: Fiscal Decentralization, Transfer to Region, Special Autonomy Funds, Regression Analysis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".