IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i2p434-d1562659.html
   My bibliography  Save this article

Fintech and Corporate ESG Performance: An Empirical Analysis Based on the NEV Industry

Author

Listed:
  • Xinhao Huang

    (School of Economics and Management, Changchun University of Technology, Changchun 130012, China)

  • Di Li

    (School of Economics and Management, Changchun University of Technology, Changchun 130012, China)

  • Meng Sun

    (Northeast Asia Research Center, Jilin University, Changchun 130012, China)

Abstract

With the strategic background of accelerating the transformation of the low-carbon economy in China, how to better help the new energy automobile industry realize green and high-quality development under the goal of “dual-carbon” with the strengthening of science and technology has become one of the most important issues nowadays, and it is of great significance to explore the relationship between financial technology (fintech) and the environmental, social, and governance (ESG) performance of the new energy automobile (NEV) industry. Using panel data from NEV companies listed on the Shanghai and Shenzhen A-share markets between 2011 and 2022, this study applies text mining techniques to construct a fintech index and analyze the transmission mechanisms through which fintech influences ESG performance. The findings show that fintech directly improves ESG outcomes for NEV companies, a result that remains robust across a series of validation tests. The analysis reveals that fintech reduces financing constraints and enhances corporate environmental information disclosure, which in turn drives better ESG performance. Furthermore, the impact of fintech is particularly pronounced in state-owned enterprises, large-scale firms, and technologically advanced NEV companies, as evidenced by heterogeneity analysis. This study provides empirical insights into fintech’s role in advancing sustainable development in the NEV sector, offering guidance for policymakers and industry stakeholders aiming to align technological progress with environmental and social governance objectives.

Suggested Citation

  • Xinhao Huang & Di Li & Meng Sun, 2025. "Fintech and Corporate ESG Performance: An Empirical Analysis Based on the NEV Industry," Sustainability, MDPI, vol. 17(2), pages 1-21, January.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:2:p:434-:d:1562659
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/2/434/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/2/434/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:17:y:2025:i:2:p:434-:d:1562659. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.

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