Adjusting to bilateral trade liberalisation under an EPA: Evidence for Mauritius
Bibliographic record
Abstract
This paper estimates the impact and adjustment costs for Mauritius of eliminating tariffs on imports from the EU under an EPA, considering trade, revenue, welfare, production and employment effects, and considering the potential benefit of preserving preferential access to the EU market. Assuming ‘immediate’ complete elimination of all tariffs on imports from the EU, there is a small welfare loss (-0.17% of 2002 GDP) unless we include potential production gains (generating a welfare gain of 0.06% of GDP). Excluding up to 20% of imports as sensitive products, the overall welfare loss is -0.19% of GDP. However, potential adjustment costs are much greater than these low welfare effects suggest: tariff revenue will fall by 33-52% of 2002 levels, domestic (non-export) production will decline by almost a quarter and direct employment by 12% (about 11,000 jobs lost overall). Preferences under an EPA are unlikely to support any growth in the major export sectors (sugar and garments), so absorbing the adjustment costs will be difficult.
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".