Market power and import bans: the case of Japanese pork imports
Bibliographic record
Abstract
Animal disease outbreaks trigger import restrictions that penalize exporting countries where the outbreak originates. However, significant increases in sales for the remaining exporters are likely to be observed only once the importer is confident that the outbreak is localized and contained. In March of 1997, Japan imposed an import ban on Taiwanese pork. At the time, Taiwan was supplying 41% of Japan's pork imports. The authors rely on the framework developed by Goldberg and Knetter (1999) and implement a generalized method of moments procedure to estimate the inverse residual demand elasticities of the current three largest exporting countries: United States, Canada, and Denmark. Structural change was investigated by adapting Qu and Perron's (2007) methodology that endogenizes the break dates. The authors found that foreign exporters were delayed by 2 years in making adjustments after Taiwan's exit. The ban on Taiwan's exports made the U.S. residual demand more inelastic and reinforced the case for U.S. market power. Denmark's reduction of market power may be due to their export product mix. [EconLit citations: L11; Q13]. © 2010 Wiley Periodicals, Inc.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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".