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Regional differences of Covid-19 pandemic prevention in China

Especially from the perspective of political leaders

Bibliographic Data

ID22087319
AuthorsJingli Li (0000-0002-1766-5995, Henan University of Technology, corresponding author), Jianjun Zhang (0000-0001-9357-6778, Peking University), Zhiyong Han (0000-0002-4133-5312, Anhui University of Finance and Economics, corresponding author)
Year2022
Volume10
Pages1037242-1037242
Publication date2022-11-04
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.1037242
PMID36407995
OpenAlexW4308631045
LanguageEN
Citations received2
References cited18

Since emergency management capabilities with respect to COVID-19 differ across different regions of China, it is necessary to adopt a more comprehensive perspective to study the reasons for these differences and propose corresponding policies. By investigating 287 prefectural-level administrative regions, this study explores the reasons for different levels of COVID-19 prevention performance. The results lead to the following conclusions. The factors influencing pandemic prevention include both structural factors, such as economic and social factors, and the experiences and characteristics of prefectural-level government leaders (party secretaries and mayors), such as grassroots work experience and level of education, which are significantly positively correlated with the progress of pandemic prevention. Based on these findings, we propose suggestions to improve governance capacity in terms of three aspects: the improvement of emergency management capacity, the appointment of cadres in the context of new challenges and missions, and the establishment collocation of prefectural-level leader teams

Business · China · Corporate governance · Economic growth · Economics · Emergency management · Geography · Grassroots · Pandemic · Political science · Politics · Public relations · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Disaster Management and Resilience · Engineering · Medicine

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Unique citing works2
Citations per year2
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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