File Download

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

한희은

Han, Hope Hyeun
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.number 8 -
dc.citation.startPage 3429 -
dc.citation.title SUSTAINABILITY -
dc.citation.volume 12 -
dc.contributor.author Kim, Jong-Min -
dc.contributor.author Jun, Chulhee -
dc.contributor.author Han, Hope Hyeun -
dc.date.accessioned 2023-12-21T17:41:08Z -
dc.date.available 2023-12-21T17:41:08Z -
dc.date.created 2020-06-18 -
dc.date.issued 2020-04 -
dc.description.abstract The study of a causal interpretation of board and firm characteristics, that is, a hidden dependence relationship on the causal inference among board and firm characteristics, is an important but unaddressed issue in the corporate governance literature. Using diverse advanced statistical methods and focusing on Tobin's Q, we find that (i) not all board variables previously found to be significant are "robust" to latent variable data analysis, and (ii) those variables that are consistently significant differ markedly in latent structural equation analysis. Our analyses provide researchers interested in board issues with an important caveat: Focusing on the dependence structure of available board variables affected by latent factors may introduce a new horizon in corporate finance. -
dc.identifier.bibliographicCitation SUSTAINABILITY, v.12, no.8, pp.3429 -
dc.identifier.doi 10.3390/su12083429 -
dc.identifier.issn 2071-1050 -
dc.identifier.scopusid 2-s2.0-85084800709 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/32397 -
dc.identifier.url https://www.mdpi.com/2071-1050/12/8/3429 -
dc.identifier.wosid 000535598700362 -
dc.language 영어 -
dc.publisher MDPI -
dc.title Sustainable Causal Interpretation with Board Characteristics: Caveat Emptor -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies -
dc.relation.journalResearchArea Science & Technology - Other Topics; Environmental Sciences & Ecology -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass ssci -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor causal inference -
dc.subject.keywordAuthor board structure -
dc.subject.keywordAuthor corporate governance -
dc.subject.keywordAuthor Gaussian copula marginal regression -
dc.subject.keywordAuthor functional principal component analysis -
dc.subject.keywordAuthor structural equation modeling -
dc.subject.keywordAuthor directed acyclic graph -
dc.subject.keywordAuthor latent variable analysis -
dc.subject.keywordPlus CORPORATE GOVERNANCE -
dc.subject.keywordPlus FIRM VALUE -
dc.subject.keywordPlus DIRECTORS -
dc.subject.keywordPlus PACKAGE -
dc.subject.keywordPlus SIZE -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.