-
- Dabo Guan
- Tsinghua University
-
- Daoping Wang
- Shanghai University of Finance and Economics
-
- Stephane Hallegatte
- The World Bank
-
- Jingwen Huo
- Tsinghua University
-
- Shuping Li
- Shandong University
-
- Yangchun Bai
- Shandong University
-
- Tianyang Lei
- Tsinghua University
-
- Qianyu Xue
- Shandong University
-
- Steven J. Davis
- University of California, Irvine
-
- D’Maris Coffman
- University College London
-
- Danyang Cheng
- Tsinghua University
-
- Peipei Chen
- Institutes of Science and Development, Chinese Academy of Sciences
-
- Xi Liang
- University of Edinburgh Business School
-
- Bing Xu
- Tsinghua University
-
- Xiaoshang Lu
- Spark Ventures
-
- Shouyang Wang
- Academy of Mathematics and Systems Science, Chinese Academy of Sciences
-
- Klaus Hubacek
- University of Groningen
-
- Peng Gong
- Tsinghua University
説明
<jats:title>Abstract</jats:title> <jats:p>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.</jats:p>