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Does Good ESG Lead to Better Financial Performances by Firms? Machine Learning and Logistic Regression Models of Public Enterprises in Europe

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  • Caterina De Lucia

    (Department of Economics, Management and Territory, University of Foggia, 71100 Foggia, Italy)

  • Pasquale Pazienza

    (Department of Economics, Management and Territory, University of Foggia, 71100 Foggia, Italy)

  • Mark Bartlett

    (School of Computing Science and Digital Media, Robert Gordon University, AB10 7QB Aberdeen, Scotland)

Abstract

The increasing awareness of climate change and human capital issues is shifting companies towards aspects other than traditional financial earnings. In particular, the changing behaviors towards sustainability issues of the global community and the availability of environmental, social and governance (ESG) indicators are attracting investors to socially responsible investment decisions. Furthermore, whereas the strategic importance of ESG metrics has been particularly studied for private enterprises, little attention have received public companies. To address this gap, the present work has three aims—1. To predict the accuracy of main financial indicators such as the expected Return of Equity (ROE) and Return of Assets (ROA) of public enterprises in Europe based on ESG indicators and other economic metrics; 2. To identify whether ESG initiatives affect the financial performance of public European enterprises; and 3. To discuss how ESG factors, based on the findings of aims #1 and #2, can contribute to the advancements of the current debate on Corporate Social Responsibility (CSR) policies and practices in public enterprises in Europe. To fulfil the above aims, we use a combined approach of machine learning (ML) techniques and inferential (i.e., ordered logistic regression) model. The former predicts the accuracy of ROE and ROA on several ESG and other economic metrics and fulfils aim #1. The latter is used to test whether any causal relationships between ESG investment decisions and ROA and ROE exist and, whether these relationships exist, to assess their magnitude. The inferential analysis fulfils aim #2. Main findings suggest that ML accurately predicts ROA and ROE and indicate, through the ordered logistic regression model, the existence of a positive relationship between ESG practices and the financial indicators. In addition, the existing relationship appears more evident when companies invest in environmental innovation, employment productivity and diversity and equal opportunity policies. As a result, to fulfil aim #3 useful policy insights are advised on these issues to strengthen CSR strategies and sustainable development practices in European public enterprises.

Suggested Citation

  • Caterina De Lucia & Pasquale Pazienza & Mark Bartlett, 2020. "Does Good ESG Lead to Better Financial Performances by Firms? Machine Learning and Logistic Regression Models of Public Enterprises in Europe," Sustainability, MDPI, vol. 12(13), pages 1-29, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:13:p:5317-:d:378876
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    as
    1. Yu-Muo Lee & Jin-Li Hu, 2018. "Integrated Approaches for Business Sustainability: The Perspective of Corporate Social Responsibility," Sustainability, MDPI, vol. 10(7), pages 1-20, July.
    2. Bennouri, Moez & Chtioui, Tawhid & Nagati, Haithem & Nekhili, Mehdi, 2018. "Female board directorship and firm performance: What really matters?," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 267-291.
    3. Hernandez-Perdomo, Elvis & Guney, Yilmaz & Rocco, Claudio M., 2019. "A reliability model for assessing corporate governance using machine learning techniques," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 220-231.
    4. Gan, Lirong & Wang, Huamao & Yang, Zhaojun, 2020. "Machine learning solutions to challenges in finance: An application to the pricing of financial products," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    5. Eleonora Cardillo & Maria Cristina Longo, 2020. "Managerial Reporting Tools for Social Sustainability: Insights from a Local Government Experience," Sustainability, MDPI, vol. 12(9), pages 1-23, May.
    6. Johan Jansson, 2011. "Consumer eco‐innovation adoption: assessing attitudinal factors and perceived product characteristics," Business Strategy and the Environment, Wiley Blackwell, vol. 20(3), pages 192-210, March.
    7. Samitas, Aristeidis & Kampouris, Elias & Kenourgios, Dimitris, 2020. "Machine learning as an early warning system to predict financial crisis," International Review of Financial Analysis, Elsevier, vol. 71(C).
    8. Ding, David K. & Ferreira, Christo & Wongchoti, Udomsak, 2016. "Does it pay to be different? Relative CSR and its impact on firm value," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 86-98.
    9. Manel Labidi & Jean-François Gajewski, 2019. "Does increased disclosure of intangible assets enhance liquidity around new equity offerings?," Post-Print hal-02050598, HAL.
    10. Zhonghua Zhao & Fanchen Meng & Yin He & Zhouyang Gu, 2019. "The Influence of Corporate Social Responsibility on Competitive Advantage with Multiple Mediations from Social Capital and Dynamic Capabilities," Sustainability, MDPI, vol. 11(1), pages 1-16, January.
    11. Sungwoo Lee & Sungho Tae, 2020. "Development of a Decision Support Model Based on Machine Learning for Applying Greenhouse Gas Reduction Technology," Sustainability, MDPI, vol. 12(9), pages 1-19, April.
    12. repec:hal:journl:hal-02312104 is not listed on IDEAS
    13. Ghoddusi, Hamed & Creamer, Germán G. & Rafizadeh, Nima, 2019. "Machine learning in energy economics and finance: A review," Energy Economics, Elsevier, vol. 81(C), pages 709-727.
    14. Chitra Sriyani De Silva Lokuwaduge & Kumudini Heenetigala, 2017. "Integrating Environmental, Social and Governance (ESG) Disclosure for a Sustainable Development: An Australian Study," Business Strategy and the Environment, Wiley Blackwell, vol. 26(4), pages 438-450, May.
    15. Labidi, Manel & Gajewski, Jean François, 2019. "Does increased disclosure of intangible assets enhance liquidity around new equity offerings?," Research in International Business and Finance, Elsevier, vol. 48(C), pages 426-437.
    16. Sharma, Amalesh & Moses, Aditya Christopher & Borah, Sourav Bikash & Adhikary, Anirban, 2020. "Investigating the impact of workforce racial diversity on the organizational corporate social responsibility performance: An institutional logics perspective," Journal of Business Research, Elsevier, vol. 107(C), pages 138-152.
    17. Subrahmanya, M.H. Bala, 2006. "Energy intensity and economic performance in small scale bricks and foundry clusters in India: does energy intensity matter?," Energy Policy, Elsevier, vol. 34(4), pages 489-497, March.
    18. María del Mar Miras‐Rodríguez & Amalia Carrasco‐Gallego & Bernabé Escobar‐Pérez, 2015. "Has the CSR engagement of electrical companies had an effect on their performance? A closer look at the environment," Business Strategy and the Environment, Wiley Blackwell, vol. 24(8), pages 819-835, December.
    19. Elena Escrig-Olmedo & María Ángeles Fernández-Izquierdo & Idoya Ferrero-Ferrero & Juana María Rivera-Lirio & María Jesús Muñoz-Torres, 2019. "Rating the Raters: Evaluating how ESG Rating Agencies Integrate Sustainability Principles," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    20. Coelho, Vitor N. & Coelho, Igor M. & Coelho, Bruno N. & Reis, Agnaldo J.R. & Enayatifar, Rasul & Souza, Marcone J.F. & Guimarães, Frederico G., 2016. "A self-adaptive evolutionary fuzzy model for load forecasting problems on smart grid environment," Applied Energy, Elsevier, vol. 169(C), pages 567-584.
    21. Silvia Cantele & Sara Moggi & Bettina Campedelli, 2020. "Spreading Sustainability Innovation through the Co-Evolution of Sustainable Business Models and Partnerships," Sustainability, MDPI, vol. 12(3), pages 1-19, February.
    22. Caporale, Diana & De Lucia, Caterina, 2015. "Social acceptance of on-shore wind energy in Apulia Region (Southern Italy)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1378-1390.
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