IDEAS home Printed from https://ideas.repec.org/a/axf/gbppsa/v10y2025ip37-44.html
   My bibliography  Save this article

Research on the Spatial Correlation Network Characteristics and Driving Factors of Technological Innovation of Strategic Emerging Industries in China

Author

Listed:
  • Wang, Ting

Abstract

Based on the gravity model and QAP model, this paper studies the network structure characteristics and driving factors of the spatial correlation of technological innovation of strategic emerging industries（TIOSEI）in China. The results show that: (1) the spatial correlation of TIOSEI presents a relatively stable and typical network structure, and the spatial correlation of technological innovation between provinces is increasingly strong. (2) Shanghai and Jiangsu play the role of "engines" in the network, Beijing and Fujian play the role of "intermediaries", and Shanghai and Hubei play the role of "central actors". (3) Geographical proximity, market openness, R&D funding and R&D personnel investment have positive effects on the spatial correlation of TIOSEI. This paper also puts forward the corresponding policy recommendations.

Suggested Citation

  • Wang, Ting, 2025. "Research on the Spatial Correlation Network Characteristics and Driving Factors of Technological Innovation of Strategic Emerging Industries in China," GBP Proceedings Series, Scientific Open Access Publishing, vol. 10, pages 37-44.
    • Handle: RePEc:axf:gbppsa:v:10:y:2025:i::p:37-44
    as

    Download full text from publisher

    File URL: https://soapubs.com/index.php/GBPPS/article/view/588/581
    Download Restriction: no
    ---><---

    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:axf:gbppsa:v:10:y:2025:i::p:37-44. 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: Yuchi Liu (email available below). General contact details of provider: https://soapubs.com/index.php/GBPPS .

    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.