Welfare Implications of EU Enlargement under the CAP
Bibliographic record
Abstract
The qualitative impacts of European Union (EU) enlargement on intervention prices, variable import levies, and export restitution payments for cereal under the Common Agricultural Policy (CAP) are analyzed using a partial equilibrium framework for EU cereal crops. The welfare implications are developed for both a net exporter and net importer. Consumer surplus, producer surplus, government revenue, and total welfare are compared and contrasted for the EU and the new entrant, both before and after enlargement. Dans le présent article, les répercussions qualitatives de l'élargissement de l'UE sur les prix d'intervention, les prélèvements variables à l'importation et les paiements de restitution à l'exportation des céréales dans le cadre de la Politique agricole commune (PAC) sont analysés à l'aide d'un modèle d'équilibre partiel pour les cultures céréalières de l'UE. Les répercussions sur le bien–être sont élaborées dans le cas d'un exportateur net et d'un importateur net. Le surplus des consommateurs, le surplus des producteurs, les recettes publiques et le bien–être total sont comparés pour l'UE et le nouveau venu, et ce, avant et après l'élargissement de l'UE.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".