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An ESG Assessment Approach with Multi-Agent Preference Differences: Based on Fuzzy Reasoning and Group Decision-Making

Author

Listed:
  • Yihe Lu

    (School of Management, Jinan University, Guangzhou 510632, China)

  • Yinyun Yu

    (School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China)

  • Ting Qu

    (School of Intelligent Systems Science and Engineering, Jinan University, Zhuhai 519000, China)

Abstract

The adoption of Environmental, Social, and Governance (ESG) to measure the green development, social responsibility, and public interest of companies is a commonly accepted theme and approach in the industry and academia at present. As ESG assessment is characterized by heterogeneity of subjects, complexity of contents, diversity of scales, and uncertainty of weights, it has led to the variability of ESG assessment results given by different assessment organizations in the same company, which has attracted a lot of criticism. This paper proposes a group decision-making method based on the preferences of multiple subjects to solve the problem of heterogeneity of subjects in ESG assessment. Specifically, for the given ESG evaluation data, the first step is to identify the preferences of subjects and structure the initial group matrix; secondly, the fuzzy inference system is employed to mine the hidden preference information; further, the initial group matrix is revised using the preference information; and finally, the TOPSIS method is applied to aggregate the information and obtain the final ESG score and ranking of each company. This study was tested using statistics from 30 companies released by Harvest Fund in May 2021, which verified the validity and advantages of the method proposed in this paper. The proposed method integrates the preferences of heterogeneous subjects and mines the possible hidden preference information, which increases the interpretation of the information contained in the original ESG data and facilitates the achievement of group consensus.

Suggested Citation

  • Yihe Lu & Yinyun Yu & Ting Qu, 2023. "An ESG Assessment Approach with Multi-Agent Preference Differences: Based on Fuzzy Reasoning and Group Decision-Making," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12235-:d:1214589
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    References listed on IDEAS

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    1. Khalfaoui Hamdi & Hassan Guenich & Moufida Ben Saada, 2022. "Does corporate financial performance promote ESG: Evidence from US firms," Cogent Business & Management, Taylor & Francis Journals, vol. 9(1), pages 2154053-215, December.
    2. Guochao Wan & Ahmad Yahya Dawod, 2022. "ESG Rating and Northbound Capital Shareholding Preferences: Evidence from China," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    3. Monica Billio & Michele Costola & Iva Hristova & Carmelo Latino & Loriana Pelizzon, 2021. "Inside the ESG ratings: (Dis)agreement and performance," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(5), pages 1426-1445, September.
    4. Song, Lianlian & Fu, Yelin & Zhou, Peng & Lai, Kin Keung, 2017. "Measuring national energy performance via Energy Trilemma Index: A Stochastic Multicriteria Acceptability Analysis," Energy Economics, Elsevier, vol. 66(C), pages 313-319.
    5. Nisar Ahmad & Asma Mobarek & Moodhi Raid, 2023. "Impact of global financial crisis on firm performance in UK: Moderating role of ESG, corporate governance and firm size," Cogent Business & Management, Taylor & Francis Journals, vol. 10(1), pages 2167548-216, December.
    6. Shan Wu & Ying Li, 2023. "A Study on the Impact of Digital Transformation on Corporate ESG Performance: The Mediating Role of Green Innovation," Sustainability, MDPI, vol. 15(8), pages 1-17, April.
    7. Cheng, Louis T.W. & Lee, Shu Kam & Li, Sung Ko & Tsang, Chun Kei, 2023. "Understanding resource deployment efficiency for ESG and financial performance: A DEA approach," Research in International Business and Finance, Elsevier, vol. 65(C).
    8. Muttanachai Suttipun, 2023. "ESG Performance and Corporate Financial Risk of the Alternative Capital Market in Thailand," Cogent Business & Management, Taylor & Francis Journals, vol. 10(1), pages 2168290-216, December.
    9. Jody Grewal & Edward J. Riedl & George Serafeim, 2019. "Market Reaction to Mandatory Nonfinancial Disclosure," Management Science, INFORMS, vol. 65(7), pages 3061-3084, July.
    10. Ishizaka, Alessio & Lokman, Banu & Tasiou, Menelaos, 2021. "A Stochastic Multi-criteria divisive hierarchical clustering algorithm," Omega, Elsevier, vol. 103(C).
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