Does Good ESG Lead to Better Financial Performances by Firms? Machine Learning and Logistic Regression Models of Public Enterprises in Europe
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- 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.
- 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.
- 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.
- 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.
- Moez Bennouri & Tawhid Chtioui & Haithem Nagati & Mehdi Nekhili, 2018. "Female board directorship and firm performance: What really matters?," Post-Print hal-02380497, HAL.
- 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.
- 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.
- 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.
- 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.
- repec:hal:journl:hal-02312104 is not listed on IDEAS
- 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.
- 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.
- 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.
- 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.
- 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).
- 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.
- 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.
- 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.
- 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).
- 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.
- 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.
- Manel Labidi & Jean-François Gajewski, 2019. "Does increased disclosure of intangible assets enhance liquidity around new equity offerings?," Post-Print hal-02050598, HAL.
- 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.
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.- Ariana Chang & Tian‐Shyug Lee & Hsiu‐Mei Lee, 2024. "Applying sustainable development goals in financial forecasting using machine learning techniques," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(3), pages 2277-2289, May.
- Petridis, Konstantinos & Tampakoudis, Ioannis & Drogalas, George & Kiosses, Nikolaos, 2022. "A Support Vector Machine model for classification of efficiency: An application to M&A," Research in International Business and Finance, Elsevier, vol. 61(C).
- 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.
- Grzybek, Olga, 2023. "Are accounting choices for intangible assets informative or opportunistic? Evidence from Poland," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 51(C).
- Yuan, Li & Tao, Jing & Li, Haitong & Dai, Pengyi, 2024. "Narrative innovation disclosure and stock price crash risk: Evidence from Chinese listed firms," Research in International Business and Finance, Elsevier, vol. 71(C).
- Krivogorsky, Victoria & Mintchik, Natalia & Alon, Anna, 2023. "Accounting research in former Soviet bloc countries: Past trends and current and future developments," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 50(C).
- Eskantar, Marianna & Zopounidis, Constantin & Doumpos, Michalis & Galariotis, Emilios & Guesmi, Khaled, 2024. "Navigating ESG complexity: An in-depth analysis of sustainability criteria, frameworks, and impact assessment," International Review of Financial Analysis, Elsevier, vol. 95(PA).
- Robert Rieg & Ute Vanini, 2023. "Value relevance of voluntary intellectual capital disclosure: a meta-analysis," Review of Managerial Science, Springer, vol. 17(7), pages 2587-2631, October.
- Erdinc Akyildirim & Oguzhan Cepni & Shaen Corbet & Gazi Salah Uddin, 2023.
"Forecasting mid-price movement of Bitcoin futures using machine learning,"
Annals of Operations Research, Springer, vol. 330(1), pages 553-584, November.
- Akyildirim, Erdinc & Cepni, Oguzhan & Corbet, Shaen & Uddin, Gazi Salah, 2020. "Forecasting Mid-price Movement of Bitcoin Futures Using Machine Learning," Working Papers 20-2020, Copenhagen Business School, Department of Economics.
- Simon Rafaqat & Sahil Rafaqat & Saoul Rafaqat & Dawood Rafaqat, 2022. "The Impact of Workforce Diversity on Organizational Performance: A Review," Journal of Economics and Behavioral Studies, AMH International, vol. 14(2), pages 39-50.
- Manickavasagam, Jeevananthan & Visalakshmi, S. & Apergis, Nicholas, 2020. "A novel hybrid approach to forecast crude oil futures using intraday data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
- Yaghoub Abdi & Xiaoni Li & Xavier Càmara-Turull, 2020. "Impact of Sustainability on Firm Value and Financial Performance in the Air Transport Industry," Sustainability, MDPI, vol. 12(23), pages 1-23, November.
- Chen, Zhongfei & Xie, Guanxia, 2022. "ESG disclosure and financial performance: Moderating role of ESG investors," International Review of Financial Analysis, Elsevier, vol. 83(C).
- Priyanka Naik & Y. V. Reddy, 2021. "Stock Market Liquidity: A Literature Review," SAGE Open, , vol. 11(1), pages 21582440209, January.
- 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.
- Jen-Yu Lee & Tien-Thinh Nguyen & Hong-Giang Nguyen & Jen-Yao Lee, 2022. "Towards Predictive Crude Oil Purchase: A Case Study in the USA and Europe," Energies, MDPI, vol. 15(11), pages 1-15, May.
- Spira, Robin, 2024. "How does ESG rating disagreement influence analyst forecast dispersion?," Junior Management Science (JUMS), Junior Management Science e. V., vol. 9(3), pages 1769-1804.
- Sarkar, Jayati & Selarka, Ekta, 2021. "Women on board and performance of family firms: Evidence from India," Emerging Markets Review, Elsevier, vol. 46(C).
- Jianzhuang Zheng & Muhammad Usman Khurram & Lifeng Chen, 2022. "Can Green Innovation Affect ESG Ratings and Financial Performance? Evidence from Chinese GEM Listed Companies," Sustainability, MDPI, vol. 14(14), pages 1-32, July.
- Heesup Han & Myong Jae Lee & Wansoo Kim, 2018. "Antecedents of Green Loyalty in the Cruise Industry: Sustainable Development and Environmental Management," Business Strategy and the Environment, Wiley Blackwell, vol. 27(3), pages 323-335, March.
More about this item
Keywords
ESG; machine learning; logistic regression; return of equity; return of assets; public enterprises;All these keywords.
Statistics
Access and download statisticsCorrections
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:gam:jsusta:v:12:y:2020:i:13:p:5317-:d:378876. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.