Regional Tax Competition in Canada, the United States and Russia: Assessment of Regulatory Experience
Bibliographic record
Abstract
Recent changes in the Russian tax legislation aimed at weakening the tax powers of the federal subjects in relation to profit tax open the question of a reasonable degree of limitation of the fiscal autonomy of Russian regions, as well as the regulation of regional tax competition. This article discusses the peculiarities of regulation of domestic tax competition in Canada and the United States on the basis of an analysis of the provisions of the tax legislation related to the fiscal powers of regional jurisdictions (provinces, states). The article focuses on approaches to limiting harmful tax practices that affect the economy or budget revenues of other regions. Empirical studies confirm the existence of negative effects of domestic tax competition, as well as the relevance of measures to restrict it. The considered countries make efforts to limit domestic tax competition both at the level of interregional agreements and at the level of central authorities. However, practice shows that it is difficult to ensure actual implementation of agreements at the regional level, so regulation by the central government is of key importance. Based on this result, recommendations are given for taking measures against harmful tax competition between the regions of Russia.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".