Why Do Some Countries Get Better WTO Accession Terms Than Others?
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The process by which countries accede to the World Trade Organization (WTO) has become the subject of considerable debate. This article takes a closer look at what determines the concessions the institution requires of an entrant. In other words, who gets a good deal, and who does not? I argue that given the institutional design of accession proceedings and the resulting suspension of reciprocity, accession terms are driven by the domestic export interests of existing members. As a result, relatively greater liberalization will be imposed on those entrants that have more valuable market access to offer upon accession, something that appears to be in opposition to expectations during multilateral trade rounds, where market access functions as a bargaining chit. The empirical evidence supports these assertions. Looking at eighteen recent entrants at the six-digit product level, I find that controlling for a host of country-specific variables, as well as the applied protection rates on a given product prior to accession, the more a country has to offer, the more it is required to give. Moreover, I show how more democratic countries, in spite of their greater overall depth of integration, exhibit greater resistance to adjustment in key industries than do nondemocracies. Finally, I demonstrate that wealth exhibits a curvilinear effect. On the one hand, institutionalized norms lead members to exercise observable restraint vis-à-vis the poorest countries. On the other hand, the richest countries have the greatest bargaining expertise, and thus obtain better terms. The outcome, as I show using a semi-parametric analysis, is that middle-income countries end up with the most stringent terms, and have to make the greatest relative adjustments to their trade regimes.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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 it