MAINTAINING TAXES AT THE CENTRE DESPITE DECENTRALIZATION : INTERACTIONS WITH NATIONAL REFORMS
Bibliographic record
Abstract
Although fiscal (de)centralization literature explains easily the centralization of taxes on the basis of a superior tax administration capacity, it finds more difficult to argue why in federal and decentralized systems subnational governments are ready to accept the demise of their taxing powers. This paper aims to contribute to the debate by analyzing the conditions under in which sub-national governments are willing to cede their taxing power to a central authority. A simple bargaining model is used to illustrate the choices available to both the central (federal) government and the sub-national governments (regions), where the main contribution lies in the introduction of the expenditure side of the budget and of its relevance for solving the commitment issue. We conclude that tax centralization will take place – transfers will prevail over sub-national taxes – if substantial efficiency gains from the centralized administration of taxes are expected. To support this conclusion, the paper presents evidence from decentralization processes in Argentina, Canada and Italy.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".