Structure actionnariale et efficience des banques cotées et non cotées : le cas de pays d’Extrême-Orient
Bibliographic record
Abstract
L’objectif de cet article est d’analyser l’impact de la structure actionnariale sur l’efficience coût et profit des banques cotées et non cotées de huit pays d’Extrême-Orient sur la période postcrise 1999-2004, en utilisant une approche paramétrique SFA. Les résultats montrent que les banques d’État ne sont pas moins efficientes en termes de coût que les autres types de banques mais qu’elles le sont en termes de profit. Toutefois, ces résultats ne tiennent que pour les banques non cotées. Pour les banques cotées, nous ne trouvons pas de différence en termes d’efficience quelle que soit la catégorie d’actionnaire considérée.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 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".