Endettement des firmes et comportements de rivalité : l’apport des principaux modèles en économie industrielle
Bibliographic record
Abstract
L’objet de ce papier est de présenter, d’analyser et de comparer des modèles d’économie industrielle dans lesquels on démontre que les firmes sont en mesure de tirer parti stratégiquement de leur niveau d’endettement afin d’influencer leur positionnement sur un marché ou le degré de concurrence dans une industrie. L’originalité de ce courant particulier de l’économie industrielle repose essentiellement sur la fonction stratégique, distincte de la fonction incitative, reconnue au contrat de dette. Nous examinons la nature de la liaison que l’on peut établir entre les caractéristiques des jeux de production et un comportement stratégique d’endettement des firmes sur deux plans. Tout d’abord en considérant l’influence de l’endettement sur la dimension collusive/concurrentielle d’une industrie et sur les conditions d’acquisition d’un pouvoir de monopole entre firmes installées. Ensuite, en soulignant l’impact de la dette sur des stratégies de pénétration de nouveaux marchés.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".