The ESGgen Scorecard

ESGgen 9 The Science 9 The ESGgen Scorecard
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The ESGgen Scorecard

The ESGgen Scorecard™ consists of 29 measures which comprehensively measure a company’s ESG impact. There are 8 environmental, 15 social, and 6 governance measures. The ESGgen Scorecard is an open resource and free to use under Creative Commons License Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).

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How was the ESGgen Scorecard developed?

The ESGgen Scorecard was developed by Marc Lepere (Founder and Chief Science Officer) as part of his ESG research at King’s College London. It was tested and refined with the University of Edinburgh and Redrice Ventures, a private equity venture capital company working with the British Business Bank.

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The ESGgen Scorecard™ was developed in four steps

1.

Fifty measures were selected from the Refinitiv Eikon database (of 400+) and mapped to the World Economic Forum Framework (September, 2020). The Refinitiv Eikon database is owned by the London Stock Exchange Group. It holds ESG data on over 9,000 companies and is generally regarded as one of the world’s best available material datasets which facilitates comparison across companies, industries and countries.

Each measure was assessed against six ESG disclosure properties: relevant, material, unique, described, verifiable, if not quantifiable then exclusive. The process of applying the disclosure properties to the candidate measures centres on a single, foundational question and coding of the answer, “Is this measure [insert property]?”. If the answer is “yes” code = 1, “no” = 0.  Only those ESG candidate measures that displayed all six properties of disclosure and therefore scored six, qualified (Lepere, 2021).

2.

3.

The 27 qualifying measures were tailored to SMEs & Startups in workshops and two measures were added. When company-specific or industry-specific data are required additional measures are included in the Scorecard.

The final selection of 29 measures was cross-checked with the EU Taxonomy’s mandatory disclosure requirements. The data is SFDR and scope 3 ‘compliance ready’. Of the leading ESG frameworks and principles based guidelines, ESGgen has the highest alignment with the EU Taxonomy (71%) providing the best coverage of the required data points from the fewest number of measures – an ‘efficiency per metric’ of 2.3%. The efficiency per metric is critical to minimising the number of data points required.

4.