End-Point versus Point of Sale Levying of Plant Breeding Royalties: An Economic Analysis using Optimal Control Theory
Bibliographic record
Abstract
Intellectual property rights for commercial crops have become in-creasingly controversial as plant breeders have sought to protect their investment through licensing and royalties, and farmers, in particular ecologically-oriented farmers, have promoted seed-saving as a conser-vation measure. Plant breeders have argued that seed saving reduces sales to breeders and that the imposition of royalties is necessary to maintain sales and to compensate them for the intellectual property invested in commercial varieties. These issues are explored here. In this paper, an optimal control model of seed purchase decisions in the presence of seed saving is developed. The model is used to analyze the impact of both point of sale royalties and end-point royalties on seed puchase decisions. The two approaches to levying royalties are then compared and policy conclusions drawn. J EL Classification: Q18,Q12,D92 2
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".