L’impact de l’annonce de la privatisation sur la performance
Bibliographic record
Abstract
The purpose of this paper is to investigate whether the legal status of a firm and the set of corporate goals that it pursues have an influence on the firm's efficiency. To perform this investigation, the productivity of the two main Canadian railways, namely Canadian National Railway (CNR) and the Canadian Pacific (CP), is compared over the period surrounding CNR's privatization announcement. Internal efficiency is measured using Total Factor Productivity over a fifteen year period, starting in 1981 and ending in 1995. Results tend to show that although less efficient in the period ending in 1991, CNR has become as efficient as CP during the three-year period preceding the privatization. These results lead to the conclusion that a shift in the firm's set of corporate goals has had a significant impact on CNR's efficiency. Cet article vise à analyser si le statut juridique de l’entreprise et la nature des objectifs qu’elle poursuit influent sur l’efficience de ses opérations. Pour ce faire, nous avons choisi de comparer la productivité des deux principaux transporteurs ferroviaires canadiens, soit le Canadien National (CN), transporteur du secteur public, avec son plus proche rival du secteur privé, le Canadien Pacifique (CP), durant les périodes précédant et suivant l’annonce de la privatisation du CN. L’efficience interne des deux transporteurs est comparée à l’aide de la productivité totale des facteurs (PTF) sur une période de quinze ans, soit de 1981 à 1995. Les résultats tendent à démontrer que bien qu’étant moins efficientes durant la période 1981-1991, les opérations du CN sont devenues aussi efficientes que celles du CP durant la période de préprivatisation, soit de 1992 à 1995. Ces résultats nous portent à conclure qu’un changement dans la nature des objectifs poursuivis par le CN a eu un impact significatif sur son efficience interne.
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 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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; both teacher heads agree on what is shown here.
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".