Market access implications of non‐tariff measures: Estimates for four developed country markets
Bibliographic record
Abstract
Abstract We quantify the effects of non‐tariff measures on the extensive margin of trade, examining the number of countries exporting particular products to Canada, the European Union, New Zealand and the United States. We find that non‐tariff measures that impose a conformity requirement, that is, testing, certification or inspection, will reduce the number of countries exporting to these markets. Conformity requirements imposed for sanitary or phytosanitary reasons have the largest effect in Canada, reducing the number of exporting countries by 47% compared to the situation where no compliance requirement is imposed. Conformity requirements imposed for other reasons covered by the WTO Agreement on Technical Barriers to Trade have the largest effect in Canada and New Zealand, reducing the number of exporting countries by 27% compared to the situation where no compliance requirement is imposed. However, we generally find a statistically significant positive effect for nontariff measures that do not impose a compliance burden, suggesting that such measures may facilitate trade.
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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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".