ESG Greenwashing and Applications of AI for Measurement
Dao, Daniel and Chu, Ngoc Anh and Bowden, James and Cummins, Mark (2024) ESG Greenwashing and Applications of AI for Measurement. University of Strathclyde, Glasgow.
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“ESG greenwashing” refers to the strategic communication tactics firms use to selectively disclose their ESG conduct to stakeholders. ESG greenwashing strategy, while it may attract and satisfy stakeholders at the beginning, may cause different issues for firms later, such as adverse publicity, lobbying, or boycott campaigns by consumer or pressure groups or divestment by socially responsible investors. The complex impacts of ESG greenwashing underscore the imperative of discerning and quantifying instances of such practices. We aim to consolidate recent literature reviews of ESG greenwashing, methodologies to measure ESG greenwashing and developing applications of AI, text analysis and machine learning models to advance such measurement. This white paper makes significant contributions to policy developments, such as the greenwashing regulations of the UK FCA and the European Parliament.
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Item type: Report ID code: 89719 Dates: DateEvent30 June 2024PublishedSubjects: Social Sciences > Economic Theory Department: Strathclyde Business School > Accounting and Finance Depositing user: Pure Administrator Date deposited: 24 Jun 2024 15:28 Last modified: 11 Aug 2024 00:45 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/89719