The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Global supply-chain effects of COVID-19 control measures
Open accessAbstract
Abstract Countries around the world have sought to stop the spread of the 2019 novel coronavirus (COVID-19) by severely restricting travel and in-person commercial activities. Here, we analyse the economic footprint of such “lockdowns” using detailed datasets of global supply chains and a set of pandemic scenarios. We find that COVID-related economic losses are largely dependent on the number of countries imposing lockdowns, and that losses are more sensitive to the duration of a lockdown that its strictness—suggesting that more severe restrictions can reduce economic damages if they successfully shorten the duration of a lockdown. Our results also highlight several key vulnerabilities in global supply chains: Even countries that are not directly affected by COVID-19 can experience large losses (e.g., >20% of their GDP)—with such cascading impacts often occurring in low- and middle-income countries. Open and highly-specialized economies suffer particularly large losses (e.g., energy-exporting Central Asian countries or tourism-focused Caribbean countries). Supply bottlenecks and declines in consumer demand lead to especially large losses in globalized sectors such as electronics (production decreases of 13-53% across our scenarios) and automobiles (2-49%). Although retrospective analyses will undoubtedly provide further policy-relevant insights, our findings already imply that earlier, stricter, and thus shorter lockdowns are likely to minimize overall economic damages, and that global supply chains will magnify economic losses in some countries and industry sectors regardless of direct effects of the coronavirus.
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Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia
Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K. S. M., Lau, E. H. Y., Wong, J. Y., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001316 · Cited by 16,575
Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts
Hellewell, J., Abbott, S., Gimma, A., Bosse, N. I., Jarvis, C. I., Russell, T. W., Munday, J. D., Kucharski, A. J., Edmunds, W. J., Sun, F., et al. (2020) · The Lancet Global Health · doi:10.1016/s2214-109x(20)30074-7 · Cited by 2,550
Future flood losses in major coastal cities
Hallegatte, S., Green, C., Nicholls, R. J., & Corfee-Morlot, J. (2013) · Nature Climate Change · doi:10.1038/nclimate1979 · Cited by 2,503
Ivanov, D. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.101922 · Cited by 2,280
The GTAP Data Base: Version 10
Center for Global Trade Analysis, P. U., Aguiar, A., Chepeliev, M., Corong, E. L., McDougall, R., & van der Mensbrugghe, D. (2019) · Journal of Global Economic Analysis · doi:10.21642/jgea.040101af · Cited by 551
Cited by
Ranking the effectiveness of worldwide COVID-19 government interventions
Haug, N., Geyrhofer, L., Londei, A., Dervic, E., Desvars-Larrive, A., Loreto, V., Pinior, B., Thurner, S., & Klimek, P. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-01009-0 · Cited by 1,412
COVID-19 pandemic related supply chain studies: A systematic review
Chowdhury, P., Paul, S. K., Kaisar, S., & Moktadir, M. A. (2021) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2021.102271 · Cited by 992
Rowan, N. J., & Galanakis, C. M. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.141362 · Cited by 259
Metadata
- Authors
- Guan, D., Wang, D., Hallegatte, S., Davis, S. J., Huo, J., Li, S., Bai, Y., Lei, T., Xue, Q., Coffman, D., Cheng, D., Chen, P., Liang, X., Xu, B., Lu, X., Wang, S., Hubacek, K., & Gong, P.
- Venue
- Nature Human Behaviour
- Published
- 2020-06-03
- Volume
- 4
- Issue
- 6
- Pages
- 577-587
- ISSN
- 2397-3374 (ISSN-L)
- OpenAlex
- W3032390071
- Cited by
- 840
- References
- 5
- FWCI
- 129.80
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Guan, D., Wang, D., Hallegatte, S., Davis, S. J., Huo, J., Li, S., Bai, Y., Lei, T., Xue, Q., Coffman, D., Cheng, D., Chen, P., Liang, X., Xu, B., Lu, X., Wang, S., Hubacek, K., & Gong, P. (2020). Global supply-chain effects of COVID-19 control measures. Nature Human Behaviour. https://doi.org/10.1038/s41562-020-0896-8
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