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[journal article]

dc.contributor.authorAtes, Sinemde
dc.date.accessioned2022-02-10T12:46:16Z
dc.date.available2022-02-10T12:46:16Z
dc.date.issued2022de
dc.identifier.issn2190-4936de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/77292
dc.description.abstractAlthough the causal effect of social performance on financial performance is a critical issue for companies and their stakeholders, there has been no consistent econometric ap­proach in the relevant literature to examine this relationship yet. From this point of view, the main motivation of this study is twofold: first, it aims to reveal the differential results of static and dynamic panel data methods used to estimate the impact of corporate social performance (CSP) on corporate financial performance (CFP). Second, in order to take the initiative for a consistent and reliable estimation method of the causal relationship between CSP and CFP, this study aims at drawing attention to the challenges of system generalized method of moments, which is suggested as an efficient method to solve the endogeneity problem in dynamic models. To this end, the impact of CSP on CFP for a sample of BRICS countries was analyzed through both static and dynamic panel data specifications. The main results reveal that static panel data models estimated with pooled OLS, random and fixed effects result in inconsistent and biased parameter estimates. This study discusses that although the two-step system GMM is suggested as a reliable method to deal with the endo­geneity issue, some critical specifications should be considered while utilizing this method to achieve robust and efficient results.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.ddcWirtschaftde
dc.subject.ddcEconomicsen
dc.subject.otherCorporate Social Performance; Two-Step System GMM; Static Panel Data; Dynamic Panel Data; BRICS Countriesde
dc.titleThe Market Value of Corporate Social Performance in BRICS Countries: Differential Results Based on Panel Data Methodsde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalMethods, data, analyses : a journal for quantitative methods and survey methodology (mda)
dc.source.volume16de
dc.publisher.countryDEUde
dc.source.issue1de
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.classozWirtschaftsstatistik, Ökonometrie, Wirtschaftsinformatikde
dc.subject.classozEconomic Statistics, Econometrics, Business Informaticsen
dc.subject.thesozCorporate Social Responsibilityde
dc.subject.thesozcorporate social responibilityen
dc.subject.thesozUnternehmende
dc.subject.thesozenterpriseen
dc.subject.thesozLeistungsfähigkeitde
dc.subject.thesozperformanceen
dc.subject.thesozSchätzungde
dc.subject.thesozestimationen
dc.subject.thesozPanelde
dc.subject.thesozpanelen
dc.subject.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10083290
internal.identifier.thesoz10039009
internal.identifier.thesoz10050957
internal.identifier.thesoz10057146
internal.identifier.thesoz10054018
internal.identifier.thesoz10040547
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo77-106de
internal.identifier.classoz10105
internal.identifier.classoz10905
internal.identifier.journal614
internal.identifier.document32
internal.identifier.ddc300
internal.identifier.ddc330
dc.identifier.doihttps://doi.org/10.12758/mda.2021.06de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse
ssoar.urn.registrationfalsede


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