IDEAS home Printed from https://ideas.repec.org/a/taf/irapec/v39y2025i1p126-144.html
   My bibliography  Save this article

Understanding the post-covid Chinese economy

Author

Listed:
  • Kerry Liu

Abstract

The underperformance of the post-COVID Chinese economy in 2023 has attracted worldwide attention. By examining various indicators, this study confirms the conclusions observed by other researchers. This study offers a declining confidence approach to explain this underperformance. Based on the Baidu Index during January 2015 – January 2024, this study creatively constructs a Chinese confidence index and places the post-COVID Chinese economy into context. Trend data indicate that the Chinese confidence level was rising during 2015–2017 but began to decline persistently since 2018. This study then reviews a series of China’s foreign and domestic policies during this period, including the China-US trade war, supply-side structural reform, policies towards privately-owned enterprises, zero COVID policy, and national security policy, and concludes that they may have driven the rise and fall of Chinese confidence levels.

Suggested Citation

  • Kerry Liu, 2025. "Understanding the post-covid Chinese economy," International Review of Applied Economics, Taylor & Francis Journals, vol. 39(1), pages 126-144, January.
  • Handle: RePEc:taf:irapec:v:39:y:2025:i:1:p:126-144
    DOI: 10.1080/02692171.2024.2404883
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02692171.2024.2404883
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/02692171.2024.2404883?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.

    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:taf:irapec:v:39:y:2025:i:1:p:126-144. 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/CIRA20 .

    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.