IDEAS home Printed from https://ideas.repec.org/a/mes/emfitr/v59y2023i15p4088-4106.html
   My bibliography  Save this article

Can the Social Network Hinder the Impact of COVID-19 on Economic Uncertainty? New Evidence from China

Author

Listed:
  • Chien-Chiang Lee
  • Chuan Zhang
  • Dan Ma

Abstract

This study investigates the impact of the COVID-19 pandemic on economic uncertainty and its spillover network based on social network analysis. The study constructs the inter-provincial Chinese economic uncertainty spillover network using a mixed frequency dataset and the provincial social network using microblog user data. Furthermore, the temporal exponential random graph model is used to analyze the impact of COVID-19 and social network during three periods. The results show that the COVID-19 pandemic significantly affects China’s provincial economic uncertainty and social network significantly hinders economic uncertainty spillover networks. The inhibitory effect of social networks on uncertainty spillover network has regional heterogeneity, which is more significant in provinces severely affected by the pandemic and strictly controlled.

Suggested Citation

  • Chien-Chiang Lee & Chuan Zhang & Dan Ma, 2023. "Can the Social Network Hinder the Impact of COVID-19 on Economic Uncertainty? New Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 59(15), pages 4088-4106, December.
    • Handle: RePEc:mes:emfitr:v:59:y:2023:i:15:p:4088-4106
    DOI: 10.1080/1540496X.2023.2178844
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1540496X.2023.2178844
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/1540496X.2023.2178844?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ma, Dan & Zhu, Yanjin, 2024. "The impact of economic uncertainty on carbon emission: Evidence from China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).

    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:mes:emfitr:v:59:y:2023:i:15:p:4088-4106. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/MREE20 .

    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.