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Political meritocracy and policy integration

How Chinese government combats the Covid‐19

Bibliographic Data

ID6040372
AuthorsBing Wang (0000-0001-5106-6681), Wang Bing (0000-0003-2322-5387, Huazhong University of Science and Technology, corresponding author)
Year2021
Volume13
Issue3
Pages426-441
Publication date2021-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAsian Politics & Policy (JOURNAL)
Journal identifiersISSN: 1943-0787 • E-ISSN: 1943-0779
PublisherWiley (PUBLISHER • GB)
DOI10.1111/aspp.12595
OpenAlexW3183263437
LanguageEN
Citations received3
References cited23

The COVID‐19 pandemic is fundamentally affecting the world by challenging governments. Although most countries are still combating the virus, China, as the first plagued country, has basically contained the pandemic. This review article aims to analyze and explain how the Chinese government has achieved this task. By tracing the detailed timeline of the pandemic, it dissects the political meritocracy and policy integration of the Chinese government, which are the main reasons for its policy efficiency and effectiveness. Meritocracy requires the government and politicians to respect science, knowledge, evidence, rationality, and professionalism, particularly within the background of populism and anti‐intellectualism. In a pandemic, the Chinese experience of political meritocracy and policy integration may balance conflicting public values better than liberal democratic nations. Global solidarity and cooperation during this pandemic can be better achieved if Chinese politics and policies are deeply understood

China · Democracy · Development economics · Economics · Government (linguistics · Meritocracy · Political economy · Political science · Politics · Sociology · Solidarity · Law · Policy Transfer and Learning · Public Administration · Public Policy and Administration Research · Social Policy and Reform Studies

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Unique citing works3
Citations per year1
Citation span2023 - 2024 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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