IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v96y2024ics0038012124002787.html
   My bibliography  Save this article

Measuring business impacts on the sustainability of European-listed firms

Author

Listed:
  • D’Ecclesia, Rita Laura
  • Levantesi, Susanna
  • Stefanelli, Kevyn

Abstract

The Environmental, Social, and Governance (ESG) themes assume a central position in the foundation of business strategies and risk management for both private managers and financial institutions. Measuring the sustainability commitment of listed companies is required by regulators and Monetary Authorities and plays a pivotal role in the selection process for asset management companies. ESG ratings are used to assess the company’s commitment to sustainability. This paper explores how a firm business, measured by balance sheet data, influences the ESG rating. In particular, we focus on Europe, which countries first paved the way for the sustainable transformation of the economy through various policies and initiatives. We employ a Machine Learning approach to discern the non-linear relationships between ESG ratings and corporate data aiming to identify the prime factors influencing the ESG ratings. We can assess potential country or business sector-based discrepancies by selecting a sample containing firms listed on the major European indices (AEX, BEL, CAC, DAX, FTSE, FTSE-MIB, IBEX, OMX). We find that the firm size, measured by total assets, and the carbon intensity are the variables that most influence the ESG rating in countries where the economic sectors rely mainly on the business cycle and economic conditions. For companies operating in the technology, financials, and industrial sectors, the main ESG driver is the asset turnover ratio, which is a measure of the efficiency with which a company generates revenues, and the EBIT to revenue, which is a measure of the operating margin asset turnover and the Earnings Before Interest and Taxes (EBIT) to revenue ratio. We discover diverse factors affecting ESG ratings across various European countries, highlighting the impact of each nation’s policy on ESG commitment.

Suggested Citation

  • D’Ecclesia, Rita Laura & Levantesi, Susanna & Stefanelli, Kevyn, 2024. "Measuring business impacts on the sustainability of European-listed firms," Socio-Economic Planning Sciences, Elsevier, vol. 96(C).
  • Handle: RePEc:eee:soceps:v:96:y:2024:i:c:s0038012124002787
    DOI: 10.1016/j.seps.2024.102078
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012124002787
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.seps.2024.102078?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Valeria D’Amato & Rita D’Ecclesia & Susanna Levantesi, 2021. "Fundamental ratios as predictors of ESG scores: a machine learning approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 1087-1110, December.
    2. Gunnar Friede & Timo Busch & Alexander Bassen, 2015. "ESG and financial performance: aggregated evidence from more than 2000 empirical studies," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 5(4), pages 210-233, October.
    3. Samuel M. Hartzmark & Abigail B. Sussman, 2019. "Do Investors Value Sustainability? A Natural Experiment Examining Ranking and Fund Flows," Journal of Finance, American Finance Association, vol. 74(6), pages 2789-2837, December.
    4. Ioannis Oikonomou & Chris Brooks & Stephen Pavelin, 2012. "The Impact of Corporate Social Performance on Financial Risk and Utility: A Longitudinal Analysis," Financial Management, Financial Management Association International, vol. 41(2), pages 483-515, June.
    5. Valeria D’Amato & Rita D’Ecclesia & Susanna Levantesi, 2022. "ESG score prediction through random forest algorithm," Computational Management Science, Springer, vol. 19(2), pages 347-373, June.
    6. Ook Lee & Hanseon Joo & Hayoung Choi & Minjong Cheon, 2022. "Proposing an Integrated Approach to Analyzing ESG Data via Machine Learning and Deep Learning Algorithms," Sustainability, MDPI, vol. 14(14), pages 1-14, July.
    7. Preeti Sharma & Priyanka Panday & R. C. Dangwal, 2020. "Determinants of environmental, social and corporate governance (ESG) disclosure: a study of Indian companies," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 17(4), pages 208-217, December.
    8. Silvana Signori & Leire San-Jose & Jose Luis Retolaza & Gianfranco Rusconi, 2021. "Stakeholder Value Creation: Comparing ESG and Value Added in European Companies," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    9. Gérard Biau & Erwan Scornet, 2016. "A random forest guided tour," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(2), pages 197-227, June.
    10. Jun Xie & Wataru Nozawa & Michiyuki Yagi & Hidemichi Fujii & Shunsuke Managi, 2019. "Do environmental, social, and governance activities improve corporate financial performance?," Business Strategy and the Environment, Wiley Blackwell, vol. 28(2), pages 286-300, February.
    11. Irina-Eugenia Iamandi & Laura-Gabriela Constantin & Sebastian Madalin Munteanu & Bogdan Cernat-Gruici, 2019. "Mapping the ESG Behavior of European Companies. A Holistic Kohonen Approach," Sustainability, MDPI, vol. 11(12), pages 1-41, June.
    12. Ricky Chung & Lyndie Bayne & Jacqueline Louise Birt, 2023. "Determinants of ESG disclosure among listed firms under voluntary and mandatory ESG disclosure regimes in Hong Kong," Journal of Applied Accounting Research, Emerald Group Publishing Limited, vol. 25(4), pages 812-836, January.
    13. Agnese, Paolo & Cerciello, Massimiliano & Oriani, Raffaele & Taddeo, Simone, 2024. "ESG controversies and profitability in the European banking sector," Finance Research Letters, Elsevier, vol. 61(C).
    14. Fabrizio Crespi & Milena Migliavacca, 2020. "The Determinants of ESG Rating in the Financial Industry: The Same Old Story or a Different Tale?," Sustainability, MDPI, vol. 12(16), pages 1-20, August.
    15. Sakis Kotsantonis & George Serafeim, 2019. "Four Things No One Will Tell You About ESG Data," Journal of Applied Corporate Finance, Morgan Stanley, vol. 31(2), pages 50-58, June.
    16. Rashidah Abdul Rahman & Maha Faisal Alsayegh, 2021. "Determinants of Corporate Environment, Social and Governance (ESG) Reporting among Asian Firms," JRFM, MDPI, vol. 14(4), pages 1-13, April.
    17. Nektarios Gavrilakis & Christos Floros, 2023. "ESG performance, herding behavior and stock market returns: evidence from Europe," Operational Research, Springer, vol. 23(1), pages 1-21, March.
    18. Florian Berg & Julian F Kölbel & Roberto Rigobon, 2022. "Aggregate Confusion: The Divergence of ESG Ratings [Corporate social responsibility and firm risk: theory and empirical evidence]," Review of Finance, European Finance Association, vol. 26(6), pages 1315-1344.
    19. Gérard Biau & Erwan Scornet, 2016. "Rejoinder on: A random forest guided tour," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(2), pages 264-268, June.
    20. Marco Taliento & Christian Favino & Antonio Netti, 2019. "Impact of Environmental, Social, and Governance Information on Economic Performance: Evidence of a Corporate ‘Sustainability Advantage’ from Europe," Sustainability, MDPI, vol. 11(6), pages 1-26, March.
    21. Salvi, Antonio & Nirino, Niccolò & Battisti, Enrico & Gianfrancesco, Igor, 2024. "Payout policy and ESG: A European investigation," Research in International Business and Finance, Elsevier, vol. 68(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cini, Federico & Ferrari, Annalisa, 2025. "Towards the estimation of ESG ratings: A machine learning approach using balance sheet ratios," Research in International Business and Finance, Elsevier, vol. 73(PB).
    2. Valeria D’Amato & Rita D’Ecclesia & Susanna Levantesi, 2022. "ESG score prediction through random forest algorithm," Computational Management Science, Springer, vol. 19(2), pages 347-373, June.
    3. Marcia Sierdovski & Luiz Alberto Pilatti & Priscila Rubbo, 2022. "Organizational Competencies in the Development of Environmental, Social, and Governance (ESG) Criteria in the Industrial Sector," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    4. Archana Saxena & Rajesh Singh & Anita Gehlot & Shaik Vaseem Akram & Bhekisipho Twala & Aman Singh & Elisabeth Caro Montero & Neeraj Priyadarshi, 2022. "Technologies Empowered Environmental, Social, and Governance (ESG): An Industry 4.0 Landscape," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    5. Cheng, Louis T.W. & Cheong, Tsun Se & Wojewodzki, Michal & Chui, David, 2025. "The effect of ESG divergence on the financial performance of Hong Kong-listed firms: An artificial neural network approach," Research in International Business and Finance, Elsevier, vol. 73(PA).
    6. Soh Young In & Young Joon Lee & Robert G. Eccles, 2024. "Looking back and looking forward: A scientometric analysis of the evolution of corporate sustainability research over 47 years," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(3), pages 2225-2259, May.
    7. Dunbar, Kwamie & Treku, Daniel & Sarnie, Robert & Hoover, Jack, 2023. "What does ESG risk premia tell us about mutual fund sustainability levels: A difference-in-differences analysis," Finance Research Letters, Elsevier, vol. 57(C).
    8. Wang, Haijun & Jiao, Shuaipeng & Ge, Chen & Sun, Guanglin, 2024. "Corporate ESG rating divergence and excess stock returns," Energy Economics, Elsevier, vol. 129(C).
    9. Horn, Matthias & Oehler, Andreas, 2024. "Constructing stock portfolios by sorting on ESG ratings: Does the rating provider matter?," International Review of Financial Analysis, Elsevier, vol. 96(PA).
    10. Staněk Gyönyör, Lucie & Horváth, Matúš, 2024. "Does ESG affect stock market dependence? An empirical exploration of S&P 1200 companies shows the divergent nature of E–S–G pillars," Research in International Business and Finance, Elsevier, vol. 69(C).
    11. Angelidis, Timotheos & Michairinas, Athanasios & Sakkas, Athanasios, 2024. "World ESG performance and economic activity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 93(C).
    12. Giglio, Stefano & Maggiori, Matteo & Ströbel, Johannes & Tan, Zhenhao & Utkus, Stephen & Xu, Xiao, 2023. "Four Facts about ESG Beliefs and Investor Portfolios," CEPR Discussion Papers 18052, C.E.P.R. Discussion Papers.
    13. Walker, Thomas & Fernandes, Alisha & Karami, Moein, 2024. "Corporate resilience during crises and the role of ESG factors: Evidence from the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 69(PB).
    14. Muck, Matthias & Schmidl, Thomas, 2024. "Comparing ESG score weighting approaches and stock performance differentiation," Finance Research Letters, Elsevier, vol. 67(PB).
    15. Jorge Antunes & Peter Wanke & Thiago Fonseca & Yong Tan, 2023. "Do ESG Risk Scores Influence Financial Distress? Evidence from a Dynamic NDEA Approach," Sustainability, MDPI, vol. 15(9), pages 1-32, May.
    16. Ferriani, Fabrizio, 2023. "Issuing bonds during the Covid-19 pandemic: Was there an ESG premium?," International Review of Financial Analysis, Elsevier, vol. 88(C).
    17. Radu-Alexandru Șerban & Diana Marieta Mihaiu & Mihai Țichindelean, 2022. "Environment, Social, and Governance Score and Value Added Impacts on Market Capitalization: A Sectoral-Based Approach," Sustainability, MDPI, vol. 14(4), pages 1-25, February.
    18. Fredy Pokou & Jules Sadefo Kamdem & François Benhmad, 2024. "Empirical Performance of an ESG Assets Portfolio from US Market," Computational Economics, Springer;Society for Computational Economics, vol. 64(3), pages 1569-1638, September.
    19. Ilze Zumente & Nataļja Lāce, 2021. "ESG Rating—Necessity for the Investor or the Company?," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    20. Danisman, Gamze Ozturk & Tarazi, Amine, 2024. "ESG activity and bank lending during financial crises," Journal of Financial Stability, Elsevier, vol. 70(C).

    More about this item

    Keywords

    Sustainability; ESG score; Corporate finance; Machine learning;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:soceps:v:96:y:2024:i:c:s0038012124002787. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.