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Record W4360863508 · doi:10.1111/irfi.12416

Impact of professor‐directors on Chinese firms' environmental performance

2023· article· en· W4360863508 on OpenAlex
Liqiang Chen, Xiaofei Song

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Review of Finance · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsEndogeneityAccountingBusinessFinancial distressCorporate social responsibilitySustainabilityPublic relationsEconomicsPolitical scienceFinancial system

Abstract

fetched live from OpenAlex

Abstract This study investigates the impact of academic professor‐directors on Chinese firms' environmental performance. We find that the presence of board directors who are also professors has a positive impact on firms' environmental protection performance, and the result is robust after controlling for the potential endogeneity of professor‐directors. This is consistent with the notion that professor board directors are perceived to take more social responsibility and are more likely to advocate for sustainability. However, this positive impact is mitigated significantly by the presence of professor board directors with administrative titles. Moreover, the above results are mainly driven by non‐state‐owned enterprises, firms with less powerful CEOs, firms with better analyst coverage, and firms with less financial distress. Our study highlights the importance of academic directors for firms' environmental performance.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.096
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.020
GPT teacher head0.316
Teacher spread0.296 · 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