ESG Ratings, Scores, and Opinions: The State of the Art in Literature

Torre, Mario La; Cardi, Mavie; Leo, Sabrina; Gherardini, Jacopo Schettini

doi:10.1007/978-3-031-22539-0_4

Cited by 6 publications

(1 citation statement)

References 113 publications

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“…Economic, social, and environmental sustainability have traditionally been the purview of international policy organizations. Recently, interest in this topic has increased in European programming and project development [1,2]. The need to include three-dimensional issues (economic, social, and environmental) in the systematization of global governance policies may be traced back to the United States' contribution in 2015.…”

Section: Introductionmentioning

confidence: 99%

Taxonomy and Indicators for ESG Investments

Sica,

Tajani,

Sáez-Pérez

et al. 2023

Sustainability

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Instead of the well-known three-pillar model of economic, social, and environmental sustainability, the shift in valuation paradigm to the sustainable realm needs a fundamental methodological and operational modification, with a focus on determining and describing metrics, criteria, and performance indicators that can be used to support Environmental, Social, Governance (ESG)-based valuation practices. As of now (2023), there is significant language and semantic heterogeneity in the indicators, standards, and operational methods to be used while conducting ESG assessments and analyses. The primary objective of this contribution is to analyze the current ESG criteria/indicators that can be found in relevant scientific publications. A scoping review of the recent ESG literature (2015–2023) as well as a content study of the reports from the most influential worldwide rating agencies—which are now utilized as models in the usage of criteria, indicators, and ESG metric applications—have been both carried out. A total of 182 indicators (78 environmental, 64 social, and 40 governance) have been gathered as a result of the investigation. In the endeavor to design and apply ESG-focused valuation and analytical practice, sets of Key Performance Indicators for the three dimensions have been found using cluster analysis and text mining, and a reference taxonomy has been provided based on them.

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Section: Introductionmentioning

confidence: 99%