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ESG-Ratings: Nonparametric Methods of Construction
[journal article]

dc.contributor.authorYurkov, Alexander V.de
dc.contributor.authorBabaeva, Zhuldyz B.de
dc.date.accessioned2025-05-21T12:23:35Z
dc.date.available2025-05-21T12:23:35Z
dc.date.issued2024de
dc.identifier.issn1726-1139de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/102486
dc.description.abstractMany of the largest Russian companies are evaluated by international financial institutions or rating agencies in terms of their influence on ESG factors that take into account environmental issues, interaction with society and corporate governance. Such ratings can have various names, most often referred to as ESG ratings. The inherent subjectivity of the assessments, along with the lack of generally recognized standards and transparency of the methodology, cause concern both from the assessed companies and from investors and regulators. ESG ratings of Russian rating agencies are at an early stage of their development, which is reflected in a small number of evaluated companies. The purpose of the study is to study the main methodological problems in the compilation of ESG ratings identified by the academic and business community with a focus on studying the issue of choosing weights when constructing a summary indicator. The information base of the study is the data published by the rating agency RAEX, which is positioned as the largest agency in the field of non-credit ratings. A comparative analysis of the rating agency's weight selection methods with nonparametric methods, such as methods of shell analysis, determination of preferences based on similarity with the ideal solution and calculation of the geometric mean is carried out. Based on the results of the study of the initial data of the rating agency, it can be concluded that most companies have low ratings for the environmental component and high ratings for the corporate governance component, while none of the companies has a benchmark rating. The main methodological problem in the selection of weights is the subjective nature of the weights used by the rating agency. Correlation analysis of the studied non-parametric methods showed a high correlation with each other and with the initial ratings of the rating agency, however, at the level of some individual companies, the ratings may differ depending on the chosen method.de
dc.languagerude
dc.subject.ddcWirtschaftde
dc.subject.ddcEconomicsen
dc.subject.otherESG-rating; nonparametric methods; DEA, TOPSISde
dc.titleESG-рейтинги: непараметрические методы построенияde
dc.title.alternativeESG-Ratings: Nonparametric Methods of Constructionde
dc.description.reviewbegutachtetde
dc.description.reviewrevieweden
dc.source.journalAdministrative Consulting
dc.publisher.countryRUSde
dc.source.issue2de
dc.subject.classozSonstiges zu Wirtschaftswissenschaftende
dc.subject.classozOther Fields of Economic Sciencesen
dc.subject.thesoznachhaltige Entwicklungde
dc.subject.thesozsustainable developmenten
dc.subject.thesozRatingde
dc.subject.thesozratingen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10062390
internal.identifier.thesoz10080932
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo92-107de
internal.identifier.classoz10999
internal.identifier.journal2857
internal.identifier.document32
internal.identifier.ddc330
dc.identifier.doihttps://doi.org/10.22394/1726-1139-2024-2-92-107de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review2
dc.subject.classhort29900de
dc.subject.classhort20800de
internal.pdf.validfalse
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse
ssoar.urn.registrationfalsede


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