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Decomposition of the Dividend Model : from the Perspective of ESG and Firm Characteristics

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dc.contributor.author김수인-
dc.contributor.author김인중-
dc.date.accessioned2022-09-05T05:41:19Z-
dc.date.available2022-09-05T05:41:19Z-
dc.date.created2022-09-05-
dc.date.issued2022-
dc.identifier.issn1229-2354-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/30352-
dc.description.abstractOver the past decade, firms of good ESG ratings, B+ and above, have shown consistently higher propensities to pay dividends compared to the poor ESG firms. The counterfactual decomposition of Maarten(2010) decomposes the dividend difference between the good and the poor ESG group into the part that is attributable to firm characteristics and the residual part that is contributed by the pure ESG group effect. Our results indicate that there exists a significant difference in dividend payments between the two ESG groups that cannot be explained by the traditional dividend model of Fama, French(2001). Good ESG firms are generally more mature, larger, profitable and less risky firms, all of which are the typical firm characteristics of dividend payers. Our hypothetical decomposition result suggests that the explanatory power of the firm characteristics is 87.6% and the remaining 12.4% is the ESG group effect. In more recent years, this portion of the ESG group effect has increased to 18.4% and particularly, the ESG group effect is most pronounced for the KOSDAQ firms for which the ESG group effect occupies 45.9% of the total effect. This suggests that acquiring good ESG ratings can make noticeable difference in adopting more shareholder friendly dividend policy.-
dc.language영어-
dc.language.isoen-
dc.publisher한국자료분석학회-
dc.titleDecomposition of the Dividend Model : from the Perspective of ESG and Firm Characteristics-
dc.title.alternativeDecomposition of the Dividend Model : from the Perspective of ESG and Firm Characteristics-
dc.typeArticle-
dc.contributor.affiliatedAuthor김수인-
dc.contributor.affiliatedAuthor김인중-
dc.identifier.doi10.37727/jkdas.2022.24.4.1213-
dc.identifier.bibliographicCitationJournal of The Korean Data Analysis Society, v.24, no.4, pp.1213 - 1223-
dc.relation.isPartOfJournal of The Korean Data Analysis Society-
dc.citation.titleJournal of The Korean Data Analysis Society-
dc.citation.volume24-
dc.citation.number4-
dc.citation.startPage1213-
dc.citation.endPage1223-
dc.type.rimsART-
dc.identifier.kciidART002869059-
dc.description.journalClass2-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthordividend-
dc.subject.keywordAuthorESG-
dc.subject.keywordAuthordecomposition-
dc.subject.keywordAuthorfirm characteristic-
dc.subject.keywordAuthordividend model.-
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