MétaCan
Menu
Back to cohort
Record W4408310154 · doi:10.1111/jifm.12239

How Does Corporate Social Responsibility Shield Firms From the Adverse Effects of the COVID‐19 Pandemic? the Role of Financial Flexibility

2025· article· en· W4408310154 on OpenAlexaff
Walid Ben‐Amar, Ziyu Kong, Isabelle Martínez

Bibliographic record

VenueJournal of International Financial Management and Accounting · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Flexibility (engineering)BusinessPandemic2019-20 coronavirus outbreakCorporate social responsibilitySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)FinanceAccountingPublic relationsEconomicsVirologyPolitical scienceManagement

Abstract

fetched live from OpenAlex

ABSTRACT This study examines whether financially endorsed corporate social responsibility (CSR) commitments improved the stock market performance of China's listed firms during the COVID‐19 pandemic. We find that CSR itself did not lead to higher stock returns during the crisis period of the pandemic, suggesting that the moral (social) capital from CSR could not solely provide an “insurance‐like” buffer against the shock. In contrast, our results show that CSR commitments generate higher stock returns when firms are more financially flexible, implying that financial flexibility endorses implicit CSR commitments to stakeholders during a crisis. Our results are robust to a difference‐in‐differences specification, alternative CSR measures and the inclusion of additional controls.

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)0.008
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.256
Teacher spread0.237 · 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

Citations3
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of International Financial Management and AccountingSame topicCorporate Social Responsibility ReportingFrench-language works237,207