IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-272-9_7.html

ESG and financial performance: a visual analysis based on bibliometrics

In: Proceedings of the 2023 3rd International Conference on Financial Management and Economic Transition (FMET 2023)

Author

Listed:
  • Chung-Lien Pan

    (Guangzhou Southern College Daren Academy)

  • Lanlin Ni

    (Guangzhou Southern College Daren Academy)

  • Shuyi Huang

    (Guangzhou Southern College Daren Academy)

Abstract

The impact of ESG on Financial Performance is a topic of interest in sustainable finance today. However, our understanding of the relationship between ESG and FP remains fragmented. Using VOSviewer and bibliometrics, this study systematically reviews the four sections of major analysis annual trends, major countries and sources, keyword co-occurrence, and thematic strategic coordinate maps based on the mapping of 624 documents retrieved from the Web of Science (WoS) database from 1900–2023, using the concepts of systems thinking and knowledge connotation to summarize research results and promote further understanding of the ESG field by uncovering the possibility of new research areas. This study provides an important reference for exploring the relationship between ESG and FP, and suggests new research directions and possibilities for future research. This will help companies to better leverage the role of ESG factors in improving FP and achieving the goal of sustainable development.

Suggested Citation

  • Chung-Lien Pan & Lanlin Ni & Shuyi Huang, 2024. "ESG and financial performance: a visual analysis based on bibliometrics," Advances in Economics, Business and Management Research, in: Vilas Gaikar & Min Hou & Yan Li & Yan Ke (ed.), Proceedings of the 2023 3rd International Conference on Financial Management and Economic Transition (FMET 2023), pages 54-60, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-272-9_7
    DOI: 10.2991/978-94-6463-272-9_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:spr:advbcp:978-94-6463-272-9_7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.