IDEAS home Printed from https://ideas.repec.org/a/hin/complx/7353462.html
   My bibliography  Save this article

The Evolution of China’s High-Level Talent Mobility Network: A Comparative Analysis Based on School and Work Stage

Author

Listed:
  • Fangfang Zhang
  • Hui Liu
  • Juntao Zhang
  • Yi Cheng
  • Giacomo Fiumara

Abstract

The flow of high-level talents in China is becoming more and more active and has a profound impact on the innovation and development of cities. Based on the research on the spatial distribution of the school and work stages of high-level talent in China, we study the structure and evolution of China’s high-level talent mobility network by using the data on the flow trajectory of talent among cities in China. The results show that: (1) the spatial distribution of talents in the two stages has greater consistency, but there is a change characteristic of “large dispersion, small agglomeration.†(2) Compared with the school stage, the network in the work stage has much more connections; the centrality gap of cities has narrowed. (3) “Core-periphery†structure of two networks is relatively significant and similar. The core layer in the two networks has not changed, but the subcore layer and the subedge layer have undergone changes. In addition, talents mainly flow to core and subcore cities. (4) The space structure of network is more complex in the work stage, and it is expanding to the Guangdong-Hong Kong-Macao Greater Bay Area in southeastern China.

Suggested Citation

  • Fangfang Zhang & Hui Liu & Juntao Zhang & Yi Cheng & Giacomo Fiumara, 2022. "The Evolution of China’s High-Level Talent Mobility Network: A Comparative Analysis Based on School and Work Stage," Complexity, Hindawi, vol. 2022, pages 1-14, January.
  • Handle: RePEc:hin:complx:7353462
    DOI: 10.1155/2022/7353462
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/complexity/2022/7353462.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/complexity/2022/7353462.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/7353462?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
    ---><---

    More about this item

    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:hin:complx:7353462. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.