ESG risk-taking from the perspective of the EU Taxonomy - experience of selected companies listed on the Warsaw Stock Exchange

Objectives The aim of this study is to assess companies listed on the Warsaw Stock Exchange from the perspective of their risk-taking in pursuit of sustainable development objectives in the context of their compliance with the European Union Taxonomy. Material and methods Five measures were used as...

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Bibliographic Details
Main Authors: Iwona Gorzen-Mitka, Monika Sipa
Format: Article
Language:English
Published: Akademia Nauk Stosowanych WSGE im. A. De Gasperi w Józefowie 2025-04-01
Series:Journal of Modern Science
Subjects:
Online Access:https://www.jomswsge.com/Podejmowanie-ryzyka-ESG-z-perspektywy-Taksonomii-Unii-Europejskiej-doswiadczenia,202353,0,2.html
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Summary:Objectives The aim of this study is to assess companies listed on the Warsaw Stock Exchange from the perspective of their risk-taking in pursuit of sustainable development objectives in the context of their compliance with the European Union Taxonomy. Material and methods Five measures were used as disclosure parameters for ESG risk-taking: capital expenditure (CAPEX), operating expenditure (OPEX), turnover (TURN), standard deviation (STD) and tracking error (TE). The analysis covered companies listed on the Warsaw Stock Exchange. The evaluation was carried out using the MULTIMOORA method. Results The result was an authoritative rankings, which made it possible to evaluate the awarded companies in terms of their risk-taking activities in the context of compliance with the EU taxonomy. Conclusions A comparison of the positions of individual firms enabled the identification of which firms have achieved the greatest success and in which areas there is a need for closer examination of potential risks and compliance with the taxonomy. The results of the study enabled the assessment of activities conducted by individual companies in comparison to other entities within the sector. With regard to methodology, the work presents an application and demonstrates the utilisation of a multi-criteria decision support method, namely MULTIMOORA. Its application enables decision-makers to not only analyse multivariate decision-making problems, but also to establish the foundation for comparative analyses, which may be presented in the form of a ranking of alternatives.
ISSN:1734-2031
2391-789X