Corporate Taxation and International Charter Competition
Bibliographic record
Abstract
Corporate Charter competition has become an increasingly international phenomenon. The thesis of this article is that this development in the corporate law requires a greater focus on the corporate tax law. We first demonstrate how a tax system’s capacity to distort the international charter market depends both upon its approach to determining corporate location and the extent to which it taxes foreign source corporate profits. We also show, however, that it is not possible to remove all distortions through modifications to the tax system alone. We present instead two alternative methods for preserving an international charter market. The first best solution involves severing the markets for corporate law and corporate tax law through coordination of locational rules under each regime, with a “place of incorporation” rule for corporate law and a “real seat” rule for corporate tax. The second best solution relies on a properly designed federal structure. The crucial design elements for such a federal system are the allocation of substantive law between the federal and subfederal levels, corporate and corporate tax locational rules, and the taxation of corporate migration and foreign source corporate profits. With due attention to these details, an international charter market can be protected from the potentially distorting effects of corporate taxation, but only if considerable care is taken. In the final part of the paper we apply our analysis to the United States, Canada, the European Union, and Israel, and show how difficult it is, in the real world, to separate corporate charter and corporate tax competition.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".