Please use this identifier to cite or link to this item: https://ruomoplus.lib.uom.gr/handle/8000/2283
Title: The Role of ESG in High-Pollution Industries: Implications for Market and Financial Performance
Authors: Dasilas, Apostolos 
Karanovic, Goran 
Author Department Affiliations: Department of Applied Informatics 
Author School Affiliations: School of Information Sciences 
Subjects: FRASCATI__Social sciences
Keywords: ESG
Performance
Profitability
Energy and raw material
S&P
Issue Date: 8-May-2025
Publisher: Emerald
Journal: The Journal of Risk Finance 
ISSN: 1526-5943
Volume: 26
Issue: 3
Start page: 410
End page: 427
Abstract: 
Purpose – Using data from 49 USA energy and raw material companies listed in the S&P 500 in the period 2011–2021, this study aims to investigate the impact of the quality of environmental, social and governance
(ESG) disclosure on market and financial performance as measured by Tobin’s Q and return on assets, respectively.
Design/methodology/approach – This study uses panel data regression analysis that accounts for firm- and time-fixed effects to examine the impact of ESG on market and financial performance in high-pollution industries.
Findings – Thisstudy findsthat the quality of ESG disclosure is positively related to stock market performance. Among the three components of ESG, the quality of corporate governance disclosure hasthe strongest impact on
firm market performance. Practical implications – The results suggest that the quality of ESG disclosure has a heterogeneous impact on
the market performance and profitability of USA energy and raw material firms. While a good ESG score can improve stock market performance, potentially attracting public investment and improving capitalstructure, this requires high levels of capital investment that might deprive other essential company operations of resources.
Originality/value – This is the first study that examines the impact of ESG disclosure quality on market and financial performance in high-pollution industries. Moreover, this study enriches the existing knowledge by applying dynamic panel data regression analysis in the ESG disclosure–financial performance relationship.
URI: https://ruomoplus.lib.uom.gr/handle/8000/2283
DOI: 10.1108/JRF-08-2024-0249
Rights: Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές
Corresponding Item Departments: Department of Applied Informatics
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