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Record W217742158

Regulating Corporate Governance through the Market: Comparing the Approaches of the United States, Canada and the United Kingdom

2002· article· en· W217742158 on OpenAlexaboutno aff
Kerry Burke

Bibliographic record

Venue˜The œJournal of corporation law · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Governance and Law
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceAccountingStock exchangeFiduciaryBusinessMarket for corporate controlListing (finance)StakeholderShareholderEquity (law)Corporate lawFinanceEconomicsManagementLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

I. INTRODUCTION The concept of corporate governance is not easy to define or evaluate. In 1992, Cadbury Committee described corporate governance as the systems by which companies are directed and controlled.1 Although never proven conclusively, many scholars of corporate governance assert that a company can increase its profitability by aligning interests of its management and its shareholder-owners.2 Even if effective corporate governance is only one element of a successful business,3 it can be an invaluable asset for a company seeking external financing. Indeed, a recent study revealed that investors are willing to pay eighteen percent more on average for equity of an American or a British company with strong corporate governance practices than for a company in a similar financial situation with a weak governance structure.4 The listing rules of New York Stock Exchange (NYSE), Toronto Stock Exchange (TSE), and London Stock Exchange (LSE) have significantly affected corporate governance of large, domestically incorporated, listed companies.5 The NYSE, TSE, and LSE all began as member-owned, self-regulatory organizations (SROs).6 The TSE and LSE recently demutualized, and NYSE is planning to convert into a forprofit entity in near future.7 This change in TSE and LSE prompted officials to evaluate whether each exchange still would be an appropriate regulator of listed companies. Similar to most other exchanges faced with this dilemma, TSE implemented several safeguards, but retained its basic SRO attributes as well as control over its listing rules;8 and listed companies arguably have not suffered from this oversight by a for-profit entity. The LSE relinquished its control over listing process, IMAGE FORMULA6 including its authority to administer exchange's corporate governance guidelines, to Financial Services Authority (FSA), a governmental entity.9 This Article asserts three contentions. First, it argues that stock exchanges with a quasi-self-regulatory structure are proper regulators of corporate governance in Anglo-American system. Quasi-SROs, like NYSE and TSE, possess flexibility and expertise necessary to respond to corporate governance issues. These exchanges can shift costs of monitoring listed companies' compliance with corporate governance rules to market participants. The governmental oversight inherent in a quasi-SRO mitigates some common problems with market-based regulation, namely, bias and inadequate enforcement. Next, this Article examines social, economic, and cultural framework in United States, Canada, and United Kingdom, in which each exchange's corporate governance rules operate. The unique environment in each country has impacted regulatory choices made by NYSE, TSE, LSE, and now, FSA. An exchange's ability to account for historical and cultural differences and institutional constraints will contribute to effectiveness or ineffectiveness of its corporate governance listing rules.10 Furthermore, many inadequacies in a system of market-based regulation are tempered by presence of other Anglo-American monitors of corporate governance, including governmental agencies, shareholders, and judiciary. Finally, this Article concludes that United Kingdom lost a valuable agent of corporate governance when FSA usurped LSE's role as U.K.'s listing authority after exchange demutualized. There is no evidence that demutualization impedes a quasi-SRO from effectively regulating corporate governance of listed companies,II and U.K.'s markets would be better served if LSE continued to regulate its own markets, much like TSE did after it demutualized. Although IMAGE FORMULA8 unique social, economic, and cultural conditions in Canada and United Kingdom are not identical to those in United States, experiences of demutualized TSE and LSE indicate that NYSE could make minor structural adjustments and remain an important regulator of listed companies' corporate governance. …

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.116
Threshold uncertainty score0.838

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0090.008
Scholarly communication0.0100.003
Open science0.0010.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.072
GPT teacher head0.198
Teacher spread0.126 · 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 designNot applicable
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

Citations28
Published2002
Admission routes1
Has abstractyes

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Same venue˜The œJournal of corporation lawSame topicCorporate Governance and LawFrench-language works237,207