Published June 2023
| Version v1
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Regulating Greenwashing: Spillover Effects of Sustainable Financial Disclosure Regulation
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Description
This paper investigates the spillover effects of Sustainable Financial Disclosure Regulation(SFDR) in reducing greenwashing. To quantify greenwashing, the paper employs a pre-trained NLP model called FinBERT to analyze public statements by companies. Using a Difference-in-Differences (DiD) approach, the paper finds that SFDR can effectively reduce greenwashing not only in the financial sector but also in non-financial sectors. The paper then presents theoretical models to understand the channels through which SFDR influences the non-financial sector. Finally, the paper tests the theoretical models by utilizing the eligibility to SFDR as an IV and establishing a causal relationship between the greenwashing risk in different sectors.
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Regulating_Greenwashing__Spillover_Effects_of_Sustainable_Financial_Disclosure_Regulation__V__.pdf
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- oai:uchicago.tind.io:6120