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Abstract
Environmental, social, and governance (ESG) ratings are fundamental tools; however, their underlying methodologies often involve complex aggregation processes. Although research on ESG has been expanding, the influence of specific indicators and categories on overall ESG scores remains insufficiently explored. This paper examines the contributions of social and environmental outcome and impact indicators to the ESG scores provided by the London Stock Exchange Group (LSEG). Our analysis reveals that among the 186 indicators comprising the LSEG ESG scores, outcome and impact indicators contribute only 18% to 37% of the total score. The remaining contribution comes from processes and policies indicators.
Original language | English |
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Article number | 106529 |
Journal | Finance Research Letters |
Volume | 72 |
DOIs | |
State | Published - Feb 2025 |
Keywords
- ESG scores
- Impact indicators
- Machine learning
- Outcome indicators
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