IDEAS home Printed from https://ideas.repec.org/a/eee/forpol/v170y2025ics1389934124002545.html
   My bibliography  Save this article

How the talent ecosystem of key state-owned forest areas in China empowers forestry scientific and technological talents aggregation

Author

Listed:
  • Wan, Shenwei
  • Ke, Shuifa
  • Liang, Chen

Abstract

Our study focuses on key state-owned forest areas in China, utilizing the talent ecosystem theory and combining Necessary Condition Analysis (NCA) with fuzzy-set Qualitative Comparative Analysis (fsQCA) to identify the necessary and sufficient conditions for the aggregation of forestry scientific and technological talents in 87 forestry enterprises. We analyze the complex causal relationships between forestry scientific and technological talents aggregation and five factors within the talent ecosystem: forestry enterprise economic conditions, forestry enterprise scientific and technological quality, forestry enterprise work opportunities, forestry enterprise living security, and forestry enterprise infrastructure. The NCA method quantitatively examines whether these five factors are necessary conditions for forestry scientific and technological talents aggregation, as well as their bottleneck levels. Meanwhile, the fsQCA method qualitatively explores multiple equivalent paths that lead to high aggregation of forestry scientific and technological talents through the interaction of these factors. The conclusions are as follows: First, both NCA and fsQCA results indicate that no single element of the talent ecosystem is a necessary condition for the aggregation of forestry scientific and technological talents. Second, the fsQCA results reveal five effective configurations that facilitate high aggregation of talents, while three configurations inhibit high aggregation. Lastly, typical case studies of forestry enterprises were selected to deeply analyze each path that enhances forestry scientific and technological talents aggregation. These findings provide insights from key state-owned forest areas for optimizing the talent ecosystem and promoting the aggregation of forestry scientific and technological talents in both China and globally.

Suggested Citation

  • Wan, Shenwei & Ke, Shuifa & Liang, Chen, 2025. "How the talent ecosystem of key state-owned forest areas in China empowers forestry scientific and technological talents aggregation," Forest Policy and Economics, Elsevier, vol. 170(C).
  • Handle: RePEc:eee:forpol:v:170:y:2025:i:c:s1389934124002545
    DOI: 10.1016/j.forpol.2024.103400
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1389934124002545
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.forpol.2024.103400?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:eee:forpol:v:170:y:2025:i:c:s1389934124002545. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/forpol .

    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.