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.
Banks’ ESG disclosure: a new scoring model / Lorenzo Gai, Marco Bellucci, Mario Biggeri, Lucia Ferrone, Federica Ielasi,. - In: FINANCE RESEARCH LETTERS. - ISSN 1544-6123. - ELETTRONICO. - 57:(2023), pp. 1-9. [10.1016/j.frl.2023.104199]
Banks’ ESG disclosure: a new scoring model
Lorenzo Gai;Marco Bellucci;Mario Biggeri;Lucia Ferrone;Federica Ielasi
2023
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.
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BESGI score_FRL.pdf
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