From public health to political repression: COVID-19 lockdown measure in Hong Kong's opposition districts

Vera W.H. Yuen

Social Science & Medicine, 2024, vol. 362, issue C

Abstract: Repression comes with costs, such as reducing regime legitimacy and citizen conformity. The COVID-19 pandemic was an opportunity and a pretext for authoritarian regimes to repress their populations at a low cost. This paper examines the case of Hong Kong, where restriction-testing declarations (RTDs) were used as a lockdown measure to facilitate mandatory testing for the virus from January 2021 to September 2022. Despite the government's claim that RTDs were implemented for public health reasons, statistical analyses showed that Hong Kong districts that opposed the regime or those with a mobilization legacy were more likely to be subject to RTDs, with the opposition district effect present only when COVID-19 infections were low. These RTDs highlight the authoritarian regime's tradeoff in using a nonpolitical measure to achieve its political aims and illustrates the enduring impact of past election and mobilization activities on the choice of selective repression sites in Hong Kong.

Keywords: Selective opportunistic repression in disguise; COVID-19 lockdown; Opposition coercion; Authoritarian election; Public health; Hong Kong China (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0277953624008943
Full text for ScienceDirect subscribers only

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:eee:socmed:v:362:y:2024:i:c:s0277953624008943

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
http://www.elsevier. ... _01_ooc_1&version=01

DOI: 10.1016/j.socscimed.2024.117440

Access Statistics for this article

Social Science & Medicine is currently edited by Ichiro (I.) Kawachi and S.V. (S.V.) Subramanian

More articles in Social Science & Medicine from Elsevier
Bibliographic data for series maintained by Catherine Liu ().