Abstract
The aim is to verify which financial, spatial and systemic importance variables interact with ESG scoring. Based on data from 628 banks from 63 countries, a multinomial ordered logit model was built with the explanatory variables of Sustainalytics and Moody's ESG scores. Results indicate that membership in the EU, being an SIB, capitalisation, and revenues have a positive effect on ESG. In contrast, an increase in leverage, NPL ratio, and profitability are associated with a deterioration in scorings. Results differ in terms of the spatial aspect (in the case of Sustainalytics, additionally, location in the US favours ESG scoring) and the spectrum of systemic importance (in the case of Moody's, it is both global and local dimensions). This study is the first attempt to identify common (to different methodologies) determinants of ESG scoring. Its originality is also determined by the demonstration of a relationship between spatial variables and SIB's membership and ESG scoring.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
