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Record W4386630083 · doi:10.1002/csr.2609

Does community attitude matter? The effects of local community environmental orientation on firms' environmental practices

2023· article· en· W4386630083 on OpenAlexaff
Shaohan Cai, Zhining Wang, Zhilin Yang

Bibliographic record

VenueCorporate Social Responsibility and Environmental Management · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsCarleton University
FundersHenan UniversityNational Natural Science Foundation of China
KeywordsBusinessAffect (linguistics)Institutional theoryNormativeReputationPerspective (graphical)Industrial organizationEconomicsPolitical sciencePsychologyManagement

Abstract

fetched live from OpenAlex

Abstract From the perspective of institutional theory, prior studies mostly focus on the effects of regulatory and normative forces on firms' environmental practices. We argue that, as a cultural‐cognitive force, local community environmental orientation is another key factor determining firms' environmental practices and performance. With data collected from multiple respondents in 372 Chinese firms, this study demonstrates that such orientation affects two other types of institutional forces facing companies, namely, local legislation and community stakeholders' pressures. These two types of forces complement each other and jointly affect firms' environmental actions, such as green investment and environmental operations, which subsequently affect firms' social reputation. However, local environmental orientation does not directly affect firms' environmental actions. These findings suggest that institutional forces interact with each other to shape firms' environmental actions.

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)0.011
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 score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.021
GPT teacher head0.244
Teacher spread0.223 · 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

Citations7
Published2023
Admission routes1
Has abstractyes

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