From Protectionism to Regionalism: Multinational Firms and Trade-Related Investment Measures
Bibliographic record
Abstract
Trade-related investment measures (TRIMs) have been a key issue in regional and multilateral trade negotiations, but they have received little attention in theoretical work to date. This article analyzes the political economy of TRIMs to illuminate why regional arrangements have been a popular framework for eliminating them. The main argument is that multinational firms often demand safeguards when TRIMs are being liberalized, particularly if they have large sunk costs due to asset specificity. In general, regional arrangements are better equipped than multilateral rules to incorporate the safeguards these firms demand: regionalism requires governments to make binding commitments, and it creates opportunities to discriminate against outsiders. A case study of lobbying by U.S. companies with FDI in Canada from the early twentieth century to the negotiation of the Canada-United States Free Trade Agreement illustrates these points. The article concludes that regional arrangements are likely to remain more active, and more successful, than multilateral discussions in managing the commitment problems inherent in liberalizing TRIMs.
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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 | 0.000 | 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".