Crippled community governance and suppressed scientific/professional communities: a critical assessment of failed early warning for the COVID-19 outbreak in China

Edward Gu and Lantian Li

Journal of Chinese Governance, 2020, vol. 5, issue 2, 160-177

Abstract: The public governance of epidemic outbreaks faces great uncertainty. Successful governance is only possible with a competent early warning system, which hinges upon efficient production, sharing, and use of relevant knowledge and information. In this process, functional scientific/professional communities are critical gatekeepers. Analyzing China’s failed early warning for the COVID-19 outbreak, we show that an epidemic governance system dominated by bureaucratic forces is doomed to failure. In particular, we identify the lack of autonomy of scientific/professional communities—in this case, virologists, physicians, and epidemiologists—as one of the major contributing factors to the malfunction of the early warning system. Drawing upon the idea of community governance, we argue that only by empowering scientific/professional groups to exert efficient community governance can a state modernize its early warning system and perform better in combatting epidemics.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/23812346.2020.1740468 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rgovxx:v:5:y:2020:i:2:p:160-177

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rgov20

DOI: 10.1080/23812346.2020.1740468

Access Statistics for this article

Journal of Chinese Governance is currently edited by Sujian Guo

More articles in Journal of Chinese Governance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().