Agri‐food trade liberalization, export prices, and quality upgrading: Evidence from the meat and chocolate sectors in OECD countries
Bibliographic record
Abstract
Abstract This article examines the impact of trade liberalization on export prices and quality. The article is innovative in two respects. First, unlike previous studies, it considers both input and output tariffs simultaneously in a theoretical model. Second, it empirically tests the effects of a combination of specific and ad‐valorem tariffs on quality improvement. The theoretical analysis suggests that when firms face reduced output and input tariffs, they tend to improve their export quality and increase export prices. Using export data from 33 OECD countries, the empirical analysis demonstrates that output tariff reduction increases export quality but decreases prices. However, the effects of input tariff reduction on price and quality depend on product differentiation. The results also indicate that the presence of specific tariffs increase product quality while amplifying the positive effects of the reduction of ad‐valorem tariffs on quality. This implies that to improve export quality, reducing ad‐valorem tariffs is more efficient than a specific tariff. [EconLit Citations: F12, F14, Q17].
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".