An Economic Justification for Open Access to Essential Medicine Patents in Developing Countries
Bibliographic record
Abstract
This paper offers an economic rationale for compulsory licensing of needed medicines in developing countries. The patent system is based on a trade-off between the "deadweight losses" caused by market power and the incentive to innovate created by increased profits from monopoly pricing during the period of the patent. However, markets for essential medicines under patent in developing countries with high income inequality are characterized by highly convex demand curves, producing large deadweight losses relative to potential profits when monopoly firms exercise profit-maximizing pricing strategies. As a result, these markets are systematically ill-suited to exclusive marketing rights, a problem which can be corrected through compulsory licensing. Open licenses that permit any qualified firm to supply the market on the same terms, such as may be available under licenses of right or essential facility legal standards, can be used to mitigate the negative effects of government-granted patents, thereby increasing overall social welfare.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 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 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".