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Record W4311853306 · doi:10.3390/su142416374

Does Local Confucian Culture Affect Corporate Environmental, Social, and Governance Ratings? Evidence from China

2022· article· en· W4311853306 on OpenAlexaff
Panpan Fu, Seema Narayan, Olaf Weber, Yonggang Tian, Yi‐Shuai Ren

Bibliographic record

VenueSustainability · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsUniversity of Waterloo
FundersNatural Science Foundation of Hunan ProvinceNational Office for Philosophy and Social SciencesHunan Provincial Science and Technology DepartmentNational Natural Science Foundation of China
KeywordsCorporate governanceChinaAffect (linguistics)BusinessOrganizational cultureInvestment (military)Corporate social responsibilityState (computer science)Asian cultureEconomic systemEconomic geographyAccountingPublic relationsPolitical scienceSociologyEconomicsLawFinancePolitics

Abstract

fetched live from OpenAlex

We investigate the influence of local Confucian culture on firms’ commitment to environment, social, and governance (ESG). We hypothesize that local Confucian culture will encourage firms to increase their commitment and effort to ESG practices, as a basic idea of Confucianism is akin to the golden rule, which dictates that one must treat people fairly and well if one wishes to be treated the same manner. Using geographic distances to local Confucian temples and centers to create geographic proximity-based measures of local Confucian culture, we confirm that local Confucian culture in the vicinity of corporate headquarters is positively associated with firms’ ESG performance. Further, we hypothesize and find that the role of local Confucian culture is more prominent in state-owned firms, larger firms, firms with greater media coverage and analyst following, and in more recent years, when environmental, social, and governance practices are more relevant and receive greater attention. Our research shed light on studies evaluating the influence of local cultural norms on investment decisions within the framework of ESG.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score1.000

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 studies0.0020.001
Scholarly communication0.0000.002
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.220
Teacher spread0.210 · 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

Citations28
Published2022
Admission routes1
Has abstractyes

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