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Record W2469742838 · doi:10.5539/ass.v12n8p1

The Value Relevance of Corporate Social Responsibility: Focusing on Donation Expenditure

2016· article· en· W2469742838 on OpenAlexvenueno aff
Gee Jung Kwon

Bibliographic record

VenueAsian Social Science · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsnot available
Fundersnot available
KeywordsDonationRelevance (law)Value (mathematics)AccountingEmpirical researchCashBusinessEconomicsEnterprise valueTime lagDemographic economicsLagFinancePolitical scienceLawEconomic growth

Abstract

fetched live from OpenAlex

This paper investigates the value relevance of corporate social responsibility. In particular, the paper examines the time lag value relevance of donation expenditure on firm value over the period of 2000–2014 in the listed Korean stock markets. Through empirical analysis, the paper provides evidence that donation expenditure has a significant effect on future firm value. The empirical results of this paper support research hypothesis 1 (donation expenses have an effect on firm value) and research hypothesis 2 (donation expenses have a time lag effect on firms’ future value). In particular, the results show that donation expenses have an effect on firm value and the time lag interval is from two to 12 years. These results suggest that donation expenses can be regarded as assets that have potential for firms’ future cash flows. The empirical evidence of this paper suggests there should be debate on whether the accounting treatment of donations should be changed in Korean accounting practices.

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)0.002
metaresearch head score (Gemma)0.015
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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0000.002
Research integrity0.0000.001
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 head0.036
GPT teacher head0.288
Teacher spread0.252 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

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