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Record W3094918427 · doi:10.32479/ijefi.10546

DOES CORPORATE GOVERNANCE AFFECT THE CRITICAL CORPORATE POLICIES SUCH AS DIVIDEND POLICY?

2020· article· en· W3094918427 on OpenAlexaboutno aff
Dan Lin, Lu Lin

Bibliographic record

VenueInternational Journal of Economics and Financial Issues · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceDividend policyDividendIndex (typography)BusinessAccountingDividend payout ratioPrincipal–agent problemAgency (philosophy)Agency costFinanceShareholder

Abstract

fetched live from OpenAlex

This study examines the influence of corporate governance on dividend policy based on a sample of Canadian firms listed on the S&P/TSX composite index during 2009-2012. The results show that firms with better governance quality, measured by the governance index provided by The Globe and Mail, have larger payouts and have a higher propensity to pay dividends. In terms of four dimensions of corporate governance index, the shareholding and compensation index is the most important determinant of dividend payouts. Our results support the complementary role of corporate governance and dividend policy of the firms. The implication from this study is that managers and board of directors should make dividend payout decisions in a big picture of corporate governance.Keywords: Dividend Policy, Corporate Governance, Agency ProblemJEL Classifications: G30, G34, G35DOI: https://doi.org/10.32479/ijefi.10546

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)0.006
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 score0.118
Threshold uncertainty score0.235

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0010.000
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 head0.035
GPT teacher head0.262
Teacher spread0.227 · 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

Citations8
Published2020
Admission routes1
Has abstractyes

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