Incidence of institutional factors in the evolution of corporate capital structure : the case of French companies listed on the Paris Stock Exchange.
Bibliographic record
Abstract
S’appuyant sur les théories du financement hiérarchique et du compromis, cette recherche se donne pour objectif de tester empiriquement la relation structure financière-institution. Ces deux notions partagent des caractéristiques communes favorisant leur association conceptuelle à travers le ratio d’endettement cible spécifiquement via le comportement de conservatisme financier des entreprises. Cela ouvre de nouvelles possibilités d’analyses de ladite relation, notamment, en mobilisant le néo-institutionnalisme. Un échantillon de 204 entreprises françaises cotées à la bourse de Paris, ayant des données complètes entre 1999 et 2007, a servi à entreprendre le volet empirique de l’étude. Les principaux résultats indiquent que l’ensemble des déterminants traditionnels de la structure financière, à l’exception de la taille, joue un rôle important dans la politique de financement de ces entreprises. Le niveau de corruption et la liquidité du marché boursier français (variables institutionnelles juridico-financières) n’influencent pas le choix du niveau d’endettement, mais jouent plutôt un rôle significatif dans le choix de la maturité de la dette. Par ailleurs, la structure financière de ces entreprises converge lentement mais sûrement vers son niveau cible.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".