Banks’ ESG disclosure: A new scoring model
Lorenzo Gai,
Marco Bellucci,
Mario Biggeri,
Lucia Ferrone and
Federica Ielasi
Finance Research Letters, 2023, vol. 57, issue C
Abstract:
The study aims to apply an original methodology for aggregating indicators in a new ESG scoring model, to assess the level of banks’ ESG disclosure. The methodology allows to calculate the BESGI score – Banks’ Environmental, Social, Governance and Indirect impacts score - and to compare it with mathematical and geometric means. This method applies a flexible aggregation function, that is able to treat the indicators as not fully substitutable, by avoiding compensations among divergent performances. A pilot empirical application of the BESGI model is presented in the paper, to discover banks’ green-washing practices.
Keywords: ESG disclosure; Banks; ESG score; Indirect impacts (search for similar items in EconPapers)
JEL-codes: G01 G21 G28 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:57:y:2023:i:c:s1544612323005718
DOI: 10.1016/j.frl.2023.104199
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