Agricultural Production Clubs: Viability and Welfare Implications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Consumers are, in general, less informed than producers about the quality of agricultural goods. To reduce the information gap, consumers can rely on certification that ensures the quality and origin of the goods. Certification can be voluntarily adopted by a group of producers, as is the case for geographical indications. We model such a group as a club, and analyze the certification decision of the club and its welfare implication. We find that for intermediate values of certification costs, the industry and a club of a given size have divergent incentives, and there may be overprovision of certification. If club members can erect barriers to entry, an optimal size of the club exists. There may be a conflict between the efficient outcome (that maximizes the aggregate profit of the firms) and the equilibrium, which may be socially undesirable. In the absence of a barrier to entry, it is less likely that a club will emerge.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it