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Comparative study of enterprise efficiency and environmental, social and governance performance before and after COVID‐19 epidemic—A study of China's A‐share listed Fintech companies

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  • Tao Xie
  • Ying Li
  • Yung‐Ho Chiu
  • Shiyou Ao

Abstract

Since the outbreak of COVID‐19, it is worth noting how the enterprise efficiency and ESG performance of Chinese fintech enterprises are affected by pandemic. However, researches using Data Envelopment Analysis (DEA) to explore this issue are still very scarce. Therefore, this paper selects 45 A‐share listed fintech enterprises to construct A two‐stage RDM‐DDF efficiency analysis model, and evaluates the efficiency of different stages and different input–output indexes by using the window efficiency analysis method. At the same time, target enterprises were grouped according to their registered locations, so as to explore the regional differences in efficiencies and changes in the efficiency before and after the outbreak of COVID‐19. The analysis results show that: (1) Regional differences in corporate efficiency are quite pronounced. (2) There is no obvious positive correlation between ESG performance and traditional financial performance of target enterprises. (3) Following the outbreak of the COVID‐19 pandemic, the efficiency changes in target companies have been complex.

Suggested Citation

  • Tao Xie & Ying Li & Yung‐Ho Chiu & Shiyou Ao, 2025. "Comparative study of enterprise efficiency and environmental, social and governance performance before and after COVID‐19 epidemic—A study of China's A‐share listed Fintech companies," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(1), pages 1491-1525, February.
  • Handle: RePEc:wly:sustdv:v:33:y:2025:i:1:p:1491-1525
    DOI: 10.1002/sd.3187
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    1. Fare, Rolf & Grosskopf, Shawna, 1996. "Productivity and intermediate products: A frontier approach," Economics Letters, Elsevier, vol. 50(1), pages 65-70, January.
    2. Gunther Capelle-Blancard & Aurélien Petit, 2019. "Every Little Helps? ESG News and Stock Market Reaction," Journal of Business Ethics, Springer, vol. 157(2), pages 543-565, June.
    3. Chen, Po-Chi & Yu, Ming-Miin & Chang, Ching-Cheng & Hsu, Shih-Hsun & Managi, Shunsuke, 2015. "The enhanced Russell-based directional distance measure with undesirable outputs: Numerical example considering CO2 emissions," Omega, Elsevier, vol. 53(C), pages 30-40.
    4. Han-Khanh Nguyen & Mai-Nam Vu, 2021. "Assess the Impact of the COVID-19 Pandemic and Propose Solutions for Sustainable Development for Textile Enterprises: An Integrated Data Envelopment Analysis-Binary Logistic Model Approach," JRFM, MDPI, vol. 14(10), pages 1-23, October.
    5. 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.
    6. Rey Dang & Maria Giuseppina Bruna & L'Hocine Houanti & Riadh Manita, 2018. "Board gender diversity and ESG disclosure: Evidence from the US," Post-Print hal-01847924, HAL.
    7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    8. Eduardo Ortas & Igor Álvarez & Ainhoa Garayar, 2015. "The Environmental, Social, Governance, and Financial Performance Effects on Companies that Adopt the United Nations Global Compact," Sustainability, MDPI, vol. 7(2), pages 1-25, February.
    9. Pereira, Deivison da Silveira & Soares de Mello, João Carlos C.B., 2021. "Efficiency evaluation of Brazilian airlines operations considering the Covid-19 outbreak," Journal of Air Transport Management, Elsevier, vol. 91(C).
    10. Riadh Manita & Maria Giuseppina Bruna & Rey Dang & L’Hocine Houanti, 2018. "Board gender diversity and ESG disclosure: evidence from the USA," Journal of Applied Accounting Research, Emerald Group Publishing Limited, vol. 19(2), pages 206-224, May.
    11. William Cooper & Kyung Park & Jesus Pastor, 1999. "RAM: A Range Adjusted Measure of Inefficiency for Use with Additive Models, and Relations to Other Models and Measures in DEA," Journal of Productivity Analysis, Springer, vol. 11(1), pages 5-42, February.
    12. Ali Shaddady & Faisal Alnori, 2024. "ESG practices and bank efficiency: new evidence from an oil-driven economy," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing Limited, vol. 17(2), pages 233-251, January.
    13. Ariff, Mohamed & Can, Luc, 2008. "Cost and profit efficiency of Chinese banks: A non-parametric analysis," China Economic Review, Elsevier, vol. 19(2), pages 260-273, June.
    14. 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.
    15. Julian F. Kölbel & Timo Busch & Leonhardt M. Jancso, 2017. "How Media Coverage of Corporate Social Irresponsibility Increases Financial Risk," Strategic Management Journal, Wiley Blackwell, vol. 38(11), pages 2266-2284, November.
    16. Wang, Ke & Huang, Wei & Wu, Jie & Liu, Ying-Nan, 2014. "Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA," Omega, Elsevier, vol. 44(C), pages 5-20.
    17. Kai Chang & Xiaochang Cheng & Yiran Wang & Qiming Liu & Jie Hu, 2023. "The impacts of ESG performance and digital finance on corporate financing efficiency in China," Applied Economics Letters, Taylor & Francis Journals, vol. 30(4), pages 516-523, February.
    18. M C A Silva Portela & E Thanassoulis & G Simpson, 2004. "Negative data in DEA: a directional distance approach applied to bank branches," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(10), pages 1111-1121, October.
    19. Giuliana Birindelli & Stefano Dell’Atti & Antonia Patrizia Iannuzzi & Marco Savioli, 2018. "Composition and Activity of the Board of Directors: Impact on ESG Performance in the Banking System," Sustainability, MDPI, vol. 10(12), pages 1-20, December.
    20. repec:eme:jaar00:jaar-01-2017-0024 is not listed on IDEAS
    21. Shahbaz, Muhammad & Karaman, Abdullah S. & Kilic, Merve & Uyar, Ali, 2020. "Board attributes, CSR engagement, and corporate performance: What is the nexus in the energy sector?," Energy Policy, Elsevier, vol. 143(C).
    22. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    23. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    24. Thi Ngan Pham & Phung Phi Tran & Minh-Hieu Le & Hoang Nhi Vo & Cong Dat Pham & Hai-Dang Nguyen, 2022. "The Effects of ESG Combined Score on Business Performance of Enterprises in the Transportation Industry," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
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