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The Different Effects of Social Capital on Corporate Performance in China: An Empesirical Analysis

2009· article· en· W2127193161 on OpenAlexvenueno aff
Junwei Shi, Lijun Hu, Haiyan Fu

Bibliographic record

VenueCanadian social science · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Capital and Networks
Canadian institutionsnot available
Fundersnot available
KeywordsSocial capitalChinaCapital (architecture)Listing (finance)Political scienceEconomyHumanitiesBusinessEconomicsFinanceGeography

Abstract

fetched live from OpenAlex

This article examines the effect of social capital on corporate performance. The empirical data is composed of 101 listing companies in the People's Republic of China. We found that corporate social capital has significant effects on its market performance. However, there is no evidence shows that social capital has significant impacts on corporate financial performance. We also found that the impact of social capital on market performance of non-SOEs is stronger than that of SOEs. Key words: Social capital, corporate performance, listing company, China. Resume: Cet essai examine les effets du capital social sur la performance de l’entreprise. Les donnees empiriques sont composees de 101 entreprises de la Republique Populaire de Chine. Nous trouvons que le capital social collectif exerce des effets signifiants sur leur performance de marche. Cependant, il n’y a pas d’evidence qui montre que le capital social produit des effets signifiants sur la performance financiere de l’entreprise. Nous trouvons aussi que l’influence du capital social sur la performance de marche des entreprises privees s’avere plus forte que sur les entreprises d’Etat. Mots-Cles: capital social, performance de l’entreprise, entreprises, Chine

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.893
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.261
Teacher spread0.249 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

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