Assessment of national economic repercussions from Shanghai’s COVID-19 lockdown

In today’s increasingly specialized and fragmented sectoral chain, as well as increasingly close economic connections between regions, regional economic fluctuations caused by natural or human factors can be transmitted through the interregional economic network to external regions, causing losses. The assessment of external losses is the foundation for fully understanding the impact of emergencies and taking effective response measures. On the basis of the MRIO model, this paper constructs a model of the impact of the COVID-19 lockdown in Shanghai on the national economy and investigates the impact of artificial controls on the economies of various regions and sectors in China after the outbreak of the COVID-19 pandemic. The results indicate that the external losses caused by regional emergencies are much greater than the local losses. Second, the sectors with the greatest GDP losses caused by Shanghai’s lockdown are wholesale and retail, whereas the sectors with the greatest decline are metal product manufacturing, machinery and equipment maintenance services. Finally, the impact of Shanghai’s lockdown on other regions is not significantly related to their economic size or geographical location.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2024-11-20
DOI
https://doi.org/10.1057/s41599-024-04100-3
Citations
6
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
1.57

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article

Assessment of national economic repercussions from Shanghai’s COVID-19 lockdown

Qingsheng Lai, Zengming Liu, Xiaoyong Huang, Yanan Wang et al.
6 citations
Humanities and Social Sciences Communications
Infrastructure Resilience and Vulnerability Analysis
1.57
article

Assessment of national economic repercussions from Shanghai’s COVID-19 lockdown

Qingsheng Lai, Zengming Liu, Xiaoyong Huang, Yanan Wang, Zihan Zhang, Meng Li
article en
6 citations

Abstract

In today’s increasingly specialized and fragmented sectoral chain, as well as increasingly close economic connections between regions, regional economic fluctuations caused by natural or human factors can be transmitted through the interregional economic network to external regions, causing losses. The assessment of external losses is the foundation for fully understanding the impact of emergencies and taking effective response measures. On the basis of the MRIO model, this paper constructs a model of the impact of the COVID-19 lockdown in Shanghai on the national economy and investigates the impact of artificial controls on the economies of various regions and sectors in China after the outbreak of the COVID-19 pandemic. The results indicate that the external losses caused by regional emergencies are much greater than the local losses. Second, the sectors with the greatest GDP losses caused by Shanghai’s lockdown are wholesale and retail, whereas the sectors with the greatest decline are metal product manufacturing, machinery and equipment maintenance services. Finally, the impact of Shanghai’s lockdown on other regions is not significantly related to their economic size or geographical location.

Humanities and Social Sciences CommunicationsVol. 11(1)
Chinese Academy of Social Sciences (CN), Chinese Academy of Sciences (CN), Fudan University (CN), Institutes of Science and Development (CN), University of Chinese Academy of Sciences (CN), University of Chinese Academy of Social Sciences, Northwest A&F University (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences
Decent work and economic growth
Openalex Percentile: Top 18%
Infrastructure Resilience and Vulnerability Analysis
1.57
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