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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".