基于模糊集和披露奖励机制的自我披露 ESG 评级方法

Songyi Yin, Yu Wang, Yelin Fu
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引用次数: 0

摘要

环境、社会和治理(ESG)评级法是一种强有力的工具,可以帮助投资者根据信息披露情况判断企业的投资价值。然而,主流的 ESG 评级方法忽略了信息披露不完全的企业与未披露信息的企业之间的区别,降低了企业披露信息的主动性和积极性。本研究提出了一种自我披露ESG(SDESG)评级方法来评价企业的ESG表现能力。首先,基于模糊集定义模糊数据,并将其应用于 SDESG 评级方法。其次,类比大学的学术奖励制度,在 SDESG 评级方法中采用信息披露奖励机制。最后,通过锐帆的案例证明了 SDESG 评级方法的有效性和可靠性。研究结果表明,SDESG 评级法可以区分信息披露不完整的公司和信息披露不完整的公司,并使主动披露信息的公司在各行业中获得更好的 ESG 分数。该研究的意义在于提高公司披露信息的积极性,保持公司内部的透明度。
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A self-disclosure ESG rating method based on the fuzzy set and reward mechanism of disclosure
The environmental, social, and governance (ESG) rating method is a powerful tool that can help investors to judge the investment value of companies based on the information disclosure. However, mainstream ESG rating methods ignore the distinction between companies with incomplete information disclosure and companies without information disclosure, which decreases the initiative and enthusiasm of companies to disclose information. In this study, a self-disclosure ESG (SDESG) rating method is proposed to evaluate companies’ ESG performance capabilities. First, based on the fuzzy set, fuzzy data is defined and applied to the SDESG rating method. Second, analogous to the academic reward system of a university, a reward mechanism of disclosure is used in the SDESG rating method. Finally, the effectiveness and reliability of the SDESG rating method are demonstrated through Refinitiv’s case. The results show that the SDESG rating method can distinguish companies with incomplete information disclosure from companies without information disclosure and allow companies that proactively disclose information to obtain better ESG scores under each industry. The implications of the study would increase companies’ enthusiasm to disclose information and maintain transparency within a company.
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