STRUCTURE DE MARCHÉ ET PERFORMANCE DES ENTREPRISES INDUSTRIELLES AU CAMEROUN
Bibliographic record
Abstract
La relation entre structure du marché et performance continue de susciter des interrogations chez les chercheurs et les décideurs. Bien que certaines preuves plaident en faveur d’une relation positive entre la structure du marché et la rentabilité, d’autres semblent confirmer que la rentabilité résulte de l’efficience. L’objet de cet article est d’analyser l’influence de la structure de marché sur la performance des entreprises industrielles au Cameroun. Afin de tenir compte de l’endogénéité de la variable de la structure de marché, nous appliquons la méthode des variables instrumentales sur données transversales d’entreprises industrielles. Les résultats montrent que la concentration n’a aucun effet sur le profit des entreprises. Par contre, le profit est influencé positivement par l’efficience des entreprises. Par conséquent, une politique de lutte contre la concentration (ou de promotion de la concurrence) serait donc inefficace et injustifiée. À la place, l’état devrait mettre en oeuvre des politiques qui améliorent l’efficience des entreprises.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".