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http://hdl.handle.net/10397/114867
| Title: | Unmasking greenwashing in ESG disclosure : insights from evolutionary game analysis | Authors: | Hao, X Tian, T Dong, L Wong, CWY Lai, KH |
Issue Date: | 2025 | Source: | Annals of operations research, Published: 08 March 2025, Latest articles, https://doi.org/10.1007/s10479-025-06538-3 | Abstract: | Environmental, Social, and Governance (ESG) disclosure is acknowledged as a compelling initiative to facilitate sustainable business practices. However, greenwashing undermines the credibility of this initiative, presenting a decision dilemma for stakeholders. Involving principal stakeholders (enterprises, investors, rating agencies) in ESG disclosure, this study conducts an evolutionary game analysis to explore the strategic evolution mechanisms. The equilibrium results suggest the potential market dilemma stemming from deceptive enterprises and unreliable rating agencies. Meanwhile, the system can converge to an ideal state without greenwashing. Reaching this state necessitates a market-based approach combined with government regulations, such as the ongoing monitoring of rating agencies to provide truthful and stringent ESG evaluation. Additionally, mandatory enterprise ESG disclosure is a robust measure to curb greenwashing. Investment-returns-based solutions can be considered for investors to augment the rigorous ESG ratings. Managers should understand the impact factors and evolution paths in ESG disclosure and how to deal effectively with greenwashing. | Keywords: | ESG disclosure Evolutionary game Greenwashing Mechanism analysis Tripartite players |
Publisher: | Springer New York LLC | Journal: | Annals of operations research | ISSN: | 0254-5330 | EISSN: | 1572-9338 | DOI: | 10.1007/s10479-025-06538-3 | Rights: | © The Author(s) 2025 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The following publication Hao, X., Tian, T., Dong, L. et al. Unmasking greenwashing in ESG disclosure: insights from evolutionary game analysis. Ann Oper Res (2025) is available at https://doi.org/10.1007/s10479-025-06538-3. |
| Appears in Collections: | Journal/Magazine Article |
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|---|---|---|---|---|
| s10479-025-06538-3.pdf | 1.46 MB | Adobe PDF | View/Open |
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