The impact of patent rights on international trade: evidence from Canada
Bibliographic record
Abstract
The extent to which Canadian manufacturing exports are sensitive to national differences in patent rights are examined. The conclusion is that, overall, Canadians tend to export more to those countries where their patent rights are highly safeguarded. Stronger patent protection induces Canadians to export relatively more to high‐income countries than to low‐income countries. In addition, the effect of stronger patent rights is to increase exports to those countries that pose a strong threat of imitation and to reduce exports to those countries that pose the weakest threat of imitation. JEL Classification: F13; O34 Impact de la propriété des brevets sur le commerce international: résultats pour le Canada. Ce mémoire examine jusqu’à quel point les exportations manufacturières canadiennes sont sensibles aux différences dans la propriété des brevets entre pays. L’étude conclut que les Canadiens tendent à exporter davantage vers les pays où la propriété des brevets est hautement protégée.Il appert que la plus forte protection de la propriété des brevets tend à faire que les Canadiens exportent relativement plus vers les pays à hauts revenus que vers ceux à plus faibles revenus. De plus, il appert que l’effet de la plus forte protection des brevets est d’accroître les exportations vers les pays qui posent une forte menace d’imitation et de réduire les exportations vers les pays qui posent la plus faible menace d’imitation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".