Assessing the Influence of Green Innovation on ESG Ratings: A Machine Learning Approach Across Developed and Emerging Economies

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Keywords	ESG Ratings, Machine Learning, Economic Development, Signaling Theory, Institutional Theory, Green Innovation, Green R&D Intensity
Thesis Advisor	Carreño, José Gabriel, Wagner, Wolf
Persistent URL	hdl.handle.net/2105/74142
Series	Finance & Investments
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Archer, Thomas. (2024, July 23). Assessing the Influence of Green Innovation on ESG Ratings: A Machine Learning Approach Across Developed and Emerging Economies. Finance & Investments. Retrieved from http://hdl.handle.net/2105/74142

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