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Stakeholder orientation and accounting conservatism: Evidence from state-level constituency statutes

2025· article· en· W4408973757 on OpenAlexafffund
Suresh Radhakrishnan, Ke Wang, Zheng Wang

Bibliographic record

VenueJournal of Accounting and Public Policy · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsUniversity of Alberta
FundersUniversity of WaterlooCentral University of Finance and EconomicsUniversity of AlbertaCanadian Academic Accounting Association
KeywordsStatuteConservatismAccountingStakeholderState (computer science)BusinessOrientation (vector space)Political scienceLawComputer science

Abstract

fetched live from OpenAlex

• The adoption of state-level constituency statutes leads to a significant decrease in accounting conservatism. • The adoption effect is stronger for firms with greater agency conflicts between shareholders and nonfinancial stakeholders. • The adoption effect is stronger for firms with lower demand for conservatism from shareholders and debtholders. • The adoption of the statutes increases corporate policies that are more friendly to employees, customers, and suppliers. We find that the staggered adoption of state-level constituency statutes leads to a significant decrease in accounting conservatism. Constituency statutes allow directors to consider stakeholder interests when making business decisions, thereby increasing firms’ stakeholder orientation. As firms shift attention to stakeholder interests, stakeholders become less concerned about shareholder expropriation and thus demand less conservatism. Cross-sectional analyses show stronger effects for firms with greater agency conflict between shareholders and nonfinancial stakeholders (i.e., customers, suppliers, and employees) and for firms where shareholders and debtholders have lower demand for conservatism. In additional analyses, we find that the adoption of constituency statutes does allow firms to implement corporate policies that are more friendly to their employees, customers, and suppliers. We also show that the effect of constituency statutes on conservatism still holds when the statutes only cover nonfinancial stakeholders (but not debtholders).

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.006
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.041
GPT teacher head0.268
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 teacher head, not a consensus.

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

Citations1
Published2025
Admission routes2
Has abstractyes

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