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Privatization in Canada: Operating and Stock Price Performance with International Comparisons

2002· article· en· W2022439091 on OpenAlexaffvenueabout
Claude Laurin, Aidan R. Vining

Bibliographic record

VenueCanadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsSimon Fraser UniversityUniversity of British Columbia
Fundersnot available
KeywordsProfitability indexDebtShareholderDividendShare priceDebt ratioBusinessEconomicsMonetary economicsFinancial systemFinanceStock exchangeCorporate governance

Abstract

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Abstract This paper analyzes the operating and stock price performance of the major Canadian share‐issue privatizations, including Air Canada, Canadian National Railway, Petro‐Canada, and six provincial privatizations. First, using time‐series accounting data, we examine changes in operating and financial performance before and after privatization. Second, we compare the Canadian performance experience to privatizations in other countries. Third, we examine the long‐run effect of privatization on shareholder returns. The evidence indicates that privatization significantly improved the operating and financial performance of Canadian companies. Net income, profitability, efficiency, and dividend payments were significantly higher following privatization than before privatization. Employment and debt were significantly lower following privatization. Relative to privatizations in other industrialized countries, Canadian corporations did not grow as fast and had more layoffs. However, they experienced greater increases in profit and profitability, and larger reductions in debt. The increases in productivity, capital expenditures, and dividend payments were similar to firms in other countries. In the five years following privatization, shareholders of Canadian companies enjoyed significant, positive, market‐adjusted buy‐and‐hold returns. This suggests that the operating performance improvements were larger than was expected at the time of privatization. Résumé Cette étude analyse les performances économiques et financières des sociétés d'État canadiennes qui ont été privatisées. En utilisant des données temporelles avant et après la privatisation, nous analysons trois entreprises privatisées par le gouvernement fédéral canadien (Air Canada, Pétro‐Canada, et le Canadien National) ainsi que six autres entreprises privatisées par les gouvernements provinciaux. Nous comparons l'expérience canadienne aux autres privatisations majeures qui ont eu lieu à travers le monde. Finalement, nous étudions les rendements que ces entreprises ont procurés à leurs actionnaires. Les résultats tendent à démontrer qu'au Canada, la privatisation a eu un effet positif sur la performance. La rentabilité, la productivité, et les paiements de dividendes des entreprises canadiennes privatisées ont augmenté significativement suite à la privatisation. Le nombre d'employés et les niveaux d'endettement ont diminué de façon marquée. Comparativement aux privatisations mondiales, les privatisations canadiennes n'ont pas obtenu une croissance aussi grande et ont procédé à plus de mises à pied. Toutefois, on note une plus grande amélioration de la rentabilité et une plus grande réduction de l'endettement. Durant les cinq années qui ont suivi la privatisation, les actionnaires d'entreprises canadiennes privatisées ont bénéficié de rendements boursiers supérieurs à ceux procurés par l'ensemble du marché canadien de même que supérieurs à ceux procurés par les entreprises privatisées à travers le monde. Ce résultat tend à démontrer que l'amélioration de la performance des entreprises canadiennes privatisées a dépassé les attentes des investisseurs.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.008
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.082
GPT teacher head0.252
Teacher spread0.170 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations43
Published2002
Admission routes3
Has abstractyes

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