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Record W2144061730 · doi:10.5430/bmr.v3n1p85

Are Spanish Listed Firms Betting on CSR during the Crisis? Evidence from the Agency Problem

2014· article· en· W2144061730 on OpenAlexvenueno aff
Maria del Mar Miras, Bernabé Escobar‐Pérez, Amalia Carrasco

Bibliographic record

VenueBusiness and Management Research · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate social responsibilityShareholderInsiderBusinessAgency (philosophy)AccountingFinancial crisisCorporate governanceFinanceEconomicsPublic relationsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Companies have to continue with their businesses in the current uncertain environment triggered by the economic crisis. Since the decrease in the performance of companies is a reality, academicians, managers and entrepreneur are worried about what may be happening with Corporate Social Responsibility. Because of the strong impact of the crisis on Spain, we are going to study its effect on the CSR behaviour of Spanish companies. Therefore, we analyse whether the performance of the company, as well as some shareholding characteristics, influence CSR before and during the crisis. The results show that large Spanish companies continue to carry out CSR actions despite the effects of the crisis on their financial health. It seems that shareholders are more influential than managers in these strategic and entrepreneurial decisions. Additionally, the presence of a reference shareholder means that companies are more committed to CSR, although a higher percentage of insider shareholders cause the contrary effect.

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)0.006
metaresearch head score (Gemma)0.023
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 score0.045
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.002
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.095
GPT teacher head0.326
Teacher spread0.231 · 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

Citations23
Published2014
Admission routes1
Has abstractyes

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