IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v26y2024i6d10.1007_s10668-023-03191-3.html
   My bibliography  Save this article

A systematic knowledge pedigree analysis on green governance

Author

Listed:
  • Rui Yang

    (Harbin Institute of Technology
    Macquarie University)

  • Yingwen Chen

    (Harbin Institute of Technology)

  • Jie Zhong

    (Tsinghua University)

  • Yujin Xu

    (Beihang University)

  • Xin An

    (Harbin Institute of Technology)

Abstract

As the importance of green governance (GG) for achieving sustainable development is generally recognized, research in this field is booming and has interdisciplinary features. Given of that, a systematic knowledge pedigree analysis is conducted based on 2342 papers related to GG from Web of Science to recognize the research status and better navigate the future research activities. First, the prolific authors, high-cited literature, geographical distribution and cooperation are carried out by using bibliometric tools to recognize the current research status of GG field. Then, the knowledge structure of GG is explained through high-frequency keyword analysis and keywords co-occurrence analysis. Next, the time zone map and strong citation bursts analysis are employed to unearth the knowledge evolution path of GG and reveal the research frontiers related to GG. Based on the above analysis, it is found that green economy, green revolution and justice are the current research hotspots of GG. Additionally, the topics of urban GG, management & performance of GG and the multi-agent to coordinately participate in the GG process are the research focuses. The research evolution of GG has experienced three periods. Through further analysis, three unique features of GG research are refined, i.e., governance agents, governance tools and governance objectives. And, a GG analysis framework contained the features of "agent-tool-objective" is constructed. Finally, four future research opportunities in this field are pointed out. This research integrates the results related to GG scattered in the literature system, which help to enrich the theoretical research of GG and guide the development of GG practice.

Suggested Citation

  • Rui Yang & Yingwen Chen & Jie Zhong & Yujin Xu & Xin An, 2024. "A systematic knowledge pedigree analysis on green governance," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(6), pages 13611-13640, June.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:6:d:10.1007_s10668-023-03191-3
    DOI: 10.1007/s10668-023-03191-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-023-03191-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-023-03191-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:endesu:v:26:y:2024:i:6:d:10.1007_s10668-023-03191-3. 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.