Price Discrimination and EU Dairy Policy: An Economic Evaluation of Policy Options
Bibliographic record
Abstract
In a period of market liberalization and multilateral trade negotiations, price discrimination for commodities with distinct markets provides additional policy options to support farm income. While both the USA and Canada have implemented price discrimination policies in their domestic dairy sector, so far the European Union (EU) has not. This paper evaluates the options of developing a price discrimination policy in the EU dairy sector. The analysis is based on an interregional model of the EU dairy sector, involving milk production, dairy processing, and consumption of ten dairy commodities in nine regions. The paper shows that a price discrimination policy that increases prices for commodities with more inelastic demand (fluid milk, soft dairy products) would generate income that can be redistributed to dairy farmers. The results suggest that, while such a price discrimination policy can be a WTO compatible way to support dairy farm income, the efficiency of the associated income transfers declines in the presence of significant supply response.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".