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Published in: Empirical Economics 6/2022

28-09-2021 | Short Note

Estimating the effects of ESG scores on corporate credit ratings using multivariate ordinal logit regression

Author: Luca Zanin

Published in: Empirical Economics | Issue 6/2022

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Abstract

We estimated the effects of Environmental, Social, and Governance (ESG) scores on the credit ratings of firms in the sectors of manufacturing, mining and quarrying, wholesale and retail trade, information and communication, and real estate activities and located in North America, Europe, and Asia using a multivariate ordinal logit model. We use credit ratings by the S&P and Fitch agencies and the Refinitiv ESG pillar scores as measures of the performance of firms on sustainability matters. We found that the Environmental pillar score is the dimension of sustainability that most contributes to improving the goodness-of-fit of the credit rating model. It has a significant positive effect on credit ratings in all sectors investigated, with stronger effects for mining and quarrying firms. Firms that manage environmental matters better than their industry peers are perceived as more resilient to long-term risks and these tend to be rewarded by credit rating agencies. Some mixed evidence between credit rating agencies is found for the social and governance dimensions in terms of statistical significance and estimated marginal effects by sector.

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Footnotes
1
For details on the 2030 Agenda for Sustainable Development, please refer to https://​www.​un.​org/​sustainabledevel​opment/​.
 
3
As a non-exhaustive list, we can cite the European Commission (EC), the Financial Stability Board (FSB) the world’s largest institutional investors, the European Securities and Markets Authority (ESMA), and the Network for Greening the Financial System (NGFS).
 
4
This classification of business activities is similar to the Standard Industry Classification (SIC) and the North American Industry Classification System (NAICS).
 
6
Low values of the indicator may indicate distress, but high values may indicate that the firm has not used its assets efficiently.
 
7
The estimated marginal effects for the remaining dimensions are available upon request.
 
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Metadata
Title
Estimating the effects of ESG scores on corporate credit ratings using multivariate ordinal logit regression
Author
Luca Zanin
Publication date
28-09-2021
Publisher
Springer Berlin Heidelberg
Published in
Empirical Economics / Issue 6/2022
Print ISSN: 0377-7332
Electronic ISSN: 1435-8921
DOI
https://doi.org/10.1007/s00181-021-02121-4

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