IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v7y2020i1d10.1057_s41599-020-00545-4.html
   My bibliography  Save this article

Assessment of monthly economic losses in Wuhan under the lockdown against COVID-19

Author

Listed:
  • Shibing You

    (Wuhan University)

  • Hengli Wang

    (Wuhan University)

  • Miao Zhang

    (Wuhan University)

  • Haitao Song

    (Shanxi University)

  • Xiaoting Xu

    (Wuhan University)

  • Yongzeng Lai

    (Wilfrid Laurier University)

Abstract

With the outbreak of COVID-19 in Wuhan, aggressive countermeasures have been taken, including the implementation of the unprecedented lockdown of the city, which will necessarily cause huge economic losses for the city of Wuhan. In this paper, we attempt to uncover the interactions between epidemic prevention and control measures and economic-social development by estimating the health loss and meso-economic loss from a human-oriented perspective. We implemented a compartmental model for the transmission dynamics and health burden assessment to evaluate the health losses, then estimated the direct and indirect economic losses of industries using the Input-Output model. Based on these estimates, the first monthly health losses and meso-economic losses caused by the lockdown was assessed. The overall policy effect of the lockdown policy in Wuhan was also investigated. The health loss and meso-economic losses are used to evaluate the health burden and loss of residents’ mental health, the direct economic loss of several worst-hit industries, and the indirect economic loss of all industries, respectively. Our findings reveal that the health burden caused by this pandemic is estimated to be 4.4899 billion yuan (CNY), and the loss of residents’ mental health is evaluated to be 114.545 billion yuan, the direct economic losses in transport, logistics, and warehousing, postal service, food, and beverage service industries reach 21.6094 billion yuan, and the monthly indirect economic losses of all industries are 36.39661994 billion yuan caused by the lockdown. The total monthly economic losses during the lockdown reach 177.0413 billion yuan. However, the lockdown policy has been considered to reduce COVID-19 infections by >180 thousand, which saves about 20 thousand lives, as well as nearly 30 billion yuan on medical costs. Therefore, the lockdown policy in Wuhan has obvious long-term benefits on the society and the total economic losses will be at a controllable level if effective measures are taken to combat COVID-19.

Suggested Citation

  • Shibing You & Hengli Wang & Miao Zhang & Haitao Song & Xiaoting Xu & Yongzeng Lai, 2020. "Assessment of monthly economic losses in Wuhan under the lockdown against COVID-19," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-12, December.
  • Handle: RePEc:pal:palcom:v:7:y:2020:i:1:d:10.1057_s41599-020-00545-4
    DOI: 10.1057/s41599-020-00545-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-020-00545-4
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-020-00545-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Keogh-Brown, Marcus Richard & Smith, Richard David, 2008. "The economic impact of SARS: How does the reality match the predictions?," Health Policy, Elsevier, vol. 88(1), pages 110-120, October.
    2. Zhang, Xu & Ou, Xunmin & Yang, Xi & Qi, Tianyu & Nam, Kyung-Min & Zhang, Da & Zhang, Xiliang, 2017. "Socioeconomic burden of air pollution in China: Province-level analysis based on energy economic model," Energy Economics, Elsevier, vol. 68(C), pages 478-489.
    3. J. A. Giesecke & W. J. Burns & A. Barrett & E. Bayrak & A. Rose & P. Slovic & M. Suher, 2012. "Assessment of the Regional Economic Impacts of Catastrophic Events: CGE Analysis of Resource Loss and Behavioral Effects of an RDD Attack Scenario," Risk Analysis, John Wiley & Sons, vol. 32(4), pages 583-600, April.
    4. Liu, Qun & Jiang, Daqing & Shi, Ningzhong & Hayat, Tasawar & Alsaedi, Ahmed, 2016. "Asymptotic behavior of a stochastic delayed SEIR epidemic model with nonlinear incidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 870-882.
    5. Agüero, Jorge M. & Beleche, Trinidad, 2017. "Health shocks and their long-lasting impact on health behaviors: Evidence from the 2009 H1N1 pandemic in Mexico," Journal of Health Economics, Elsevier, vol. 54(C), pages 40-55.
    6. Warwick McKibbin & Alexandra Sidorenko, 2006. "Global Macroeconomic Consequences of Pandemic Influenza," CAMA Working Papers 2006-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Peipei & Liu, Haiyan & Zheng, Xinqi & Ma, Ruifang, 2023. "A new method for spatio-temporal transmission prediction of COVID-19," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    2. Xingtian Chen & Wei Gong & Xiaoxu Wu & Wenwu Zhao, 2021. "Estimating Economic Losses Caused by COVID-19 under Multiple Control Measure Scenarios with a Coupled Infectious Disease—Economic Model: A Case Study in Wuhan, China," IJERPH, MDPI, vol. 18(22), pages 1-19, November.
    3. Cui, Zhiwei & Fu, Xin & Wang, Jianwei & Qiang, Yongjie & Jiang, Ying & Long, Zhiyou, 2022. "How does COVID-19 pandemic impact cities' logistics performance? An evidence from China's highway freight transport," Transport Policy, Elsevier, vol. 120(C), pages 11-22.
    4. Zhou, Lijuan & Zhang, Ruchuan & Zhang, Aizhen & Li, Miao & Li, Aijun, 2024. "Understanding the role of energy sector in the outbreak of epidemic in China: An analysis based on SEIDR epidemic model, dynamic input-output model and resource allocation DEA model," Energy, Elsevier, vol. 305(C).
    5. Tong Li & Yanfen Wang & Lizhen Cui & Ranjay K. Singh & Hongdou Liu & Xiufang Song & Zhihong Xu & Xiaoyong Cui, 2023. "Exploring the evolving landscape of COVID-19 interfaced with livelihoods," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    6. Fu, Xin & Qiang, Yongjie & Liu, Xuxu & Jiang, Ying & Cui, Zhiwei & Zhang, Deyu & Wang, Jianwei, 2022. "Will multi-industry supply chains' resilience under the impact of COVID-19 pandemic be different? A perspective from China's highway freight transport," Transport Policy, Elsevier, vol. 118(C), pages 165-178.
    7. Yagi, Michiyuki & Managi, Shunsuke, 2021. "Global supply constraints from the 2008 and COVID-19 crises," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 514-528.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Verikios, George & Sullivan, Maura & Stojanovski, Pane & Giesecke, James & Woo, Gordon, 2011. "The Global Economic Effects of Pandemic Influenza," Conference papers 332033, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    2. Marcus R. Keogh‐Brown & Simon Wren‐Lewis & W. John Edmunds & Philippe Beutels & Richard D. Smith, 2010. "The possible macroeconomic impact on the UK of an influenza pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 19(11), pages 1345-1360, November.
    3. George Verikios & Maura Sullivan & Pane Stojanovski & James Giesecke & Gordon Woo, 2016. "Assessing Regional Risks From Pandemic Influenza: A Scenario Analysis," The World Economy, Wiley Blackwell, vol. 39(8), pages 1225-1255, August.
    4. Tiberiu Cristian Avrămescu, 2020. "Assessments on the Effects of the Coronavirus Pandemic on the Economies of the Central and South-East European Union Countries," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 105-112, August.
    5. Ilan Noy & Tomáš Uher, 2022. "Economic consequences of pre-COVID-19 epidemics: a literature review," Chapters, in: Mark Skidmore (ed.), Handbook on the Economics of Disasters, chapter 7, pages 117-133, Edward Elgar Publishing.
    6. Ilan Noy & Tomáš Uher, 2022. "Economic consequences of pre-COVID-19 epidemics: a literature review," Chapters, in: Mark Skidmore (ed.), Handbook on the Economics of Disasters, chapter 7, pages 117-133, Edward Elgar Publishing.
    7. Smith, Richard D. & Keogh-Brown, Marcus R. & Barnett, Tony, 2011. "Estimating the economic impact of pandemic influenza: An application of the computable general equilibrium model to the UK," Social Science & Medicine, Elsevier, vol. 73(2), pages 235-244, July.
    8. Gopal Das & Shailendra Pratap Jain & Durairaj Maheswaran & Rebecca J. Slotegraaf & Raji Srinivasan, 2021. "Pandemics and marketing: insights, impacts, and research opportunities," Journal of the Academy of Marketing Science, Springer, vol. 49(5), pages 835-854, September.
    9. Di Bartolomeo, Giovanni & D'Imperio, Paolo & Felici, Francesco, 2022. "The fiscal response to the Italian COVID-19 crisis: A counterfactual analysis," Journal of Macroeconomics, Elsevier, vol. 73(C).
    10. J. Nassios & J.A. Giesecke, 2015. "The Macroeconomic and Sectoral Effects of Terrorism in the U.S.: A Reconciliation of CGE and Econometric Approaches," Centre of Policy Studies/IMPACT Centre Working Papers g-256, Victoria University, Centre of Policy Studies/IMPACT Centre.
    11. Marc Jim Mariano & George Verikios, 2022. "Understanding the Effects of Coronavirus on Australian Households: A Macro–Micro Analysis," Economic Papers, The Economic Society of Australia, vol. 41(3), pages 215-231, September.
    12. Eiji Yamamura & Yoshiro Tsutsui & Fumio Ohtake, 2023. "The Effect of Primary School Education on Preventive Behaviours during COVID-19 in Japan," Sustainability, MDPI, vol. 15(11), pages 1-12, May.
    13. Emmanuel Apergis & Nicholas Apergis, 2021. "The impact of COVID-19 on economic growth: evidence from a Bayesian Panel Vector Autoregressive (BPVAR) model," Applied Economics, Taylor & Francis Journals, vol. 53(58), pages 6739-6751, December.
    14. Zaremba, Adam & Bianchi, Robert J. & Mikutowski, Mateusz, 2021. "Long-run reversal in commodity returns: Insights from seven centuries of evidence," Journal of Banking & Finance, Elsevier, vol. 133(C).
    15. Afees A. Salisu & Abdulsalam Abidemi Sikiru & Philip C. Omoke, 2023. "COVID-19 pandemic and financial innovations," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3885-3904, August.
    16. Antoine Marsaudon & Lise Rochaix, 2017. "Impact of acute health shocks on cigarette consumption
      [Impact d'un choc de santé sur la consommation de cigarette]
      ," PSE Working Papers halshs-01626024, HAL.
    17. Hongfang Han & Yanhong Qian, 2021. "Did Enterprises' Innovation Ability Increase During the COVID-19 Pandemic? Evidence From Chinese Listed Companies," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 1(3), pages 1-5.
    18. Anirudh Shingal & Prachi Agarwal, 2020. "How did trade in GVC-based products respond to previous health shocks? Lessons for COVID-19," RSCAS Working Papers 2020/68, European University Institute.
    19. Sok Chul Hong & Eunju Lee & Seojung Oh, 2023. "Unintended health benefits of adopting preventive behaviors during a virus outbreak," Health Economics, John Wiley & Sons, Ltd., vol. 32(2), pages 324-342, February.
    20. Zhou, Xueyong & Shi, Xiangyun & Wei, Ming, 2022. "Dynamical behavior and optimal control of a stochastic mathematical model for cholera," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:7:y:2020:i:1:d:10.1057_s41599-020-00545-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.