IDEAS home Printed from https://ideas.repec.org/a/oup/scippl/v50y2023i5p893-904..html
   My bibliography  Save this article

Herding in policy responses to coronavirus disease 2019

Author

Listed:
  • Jianfeng Guo
  • Xuemei Zhang
  • Fu Gu
  • Jiannan Zhu
  • Chao Deng
  • Xinze Zhao
  • Xiaohan Yang

Abstract

Governments have proposed various policy responses to contain the spread of coronavirus disease 2019, but there is little available knowledge about how these policies are formulated. Here we quantify the herding effect in the pandemic containment policies issued by governments of different regions during the period of 18 January 2020 to 29 May 2020, using a modified Lakonishok–Shleifer–Vishny approach. The results show that all the policies exhibit some degree of herding, and the policy herding in the USA is significantly stronger than that of China but weaker than that of the rest of the world. Specifically, the overall herding intensity in the policy responses of the Northern China is greater than that of the Southern China. We believe that policy herding is linked with risk aversion, which is triggered by perceived uncertainty associated with significant risk events. This work highlights the significance of resource sufficiency and preparedness.

Suggested Citation

  • Jianfeng Guo & Xuemei Zhang & Fu Gu & Jiannan Zhu & Chao Deng & Xinze Zhao & Xiaohan Yang, 2023. "Herding in policy responses to coronavirus disease 2019," Science and Public Policy, Oxford University Press, vol. 50(5), pages 893-904.
  • Handle: RePEc:oup:scippl:v:50:y:2023:i:5:p:893-904.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/scipol/scad033
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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:oup:scippl:v:50:y:2023:i:5:p:893-904.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/spp .

    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.