Spatial transmission of the economic impacts of COVID-19 through international trade.

IF 1.8 Q2 GEOGRAPHY
Letters in Spatial and Resource Sciences Pub Date : 2021-01-01 Epub Date: 2021-08-09 DOI:10.1007/s12076-021-00271-8
Adam Rose, Terrie Walmsley, Dan Wei
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引用次数: 14

Abstract

While most of the attention to COVID-19 is being focused on the physical transmission of the virus across country borders, there is also an analogous spatial transmission of economic impacts through international trade and global supply chains. This paper presents an analysis of the extent to which the economic shocks of mandatory closures to mitigate the pandemic ripple through the world economy. We utilize a state-of-the-art computable general equilibrium (CGE) model to analyze these interconnections through international trade. We compare estimates of the impacts on US GDP in isolation and then examine the impacts taking into account US trade with China and the rest of the world (ROW). Our analysis indicates that these international trade linkage impacts are generally negative and range from near zero to very large overall, depending on the region, and that own- and cross-country impacts differ by region as well. At the same time, we find that China is able to capitalize on the situation by actually being able to increase its exports through international trade following mandatory closures in other regions. We also confirm that the US economy was relatively insulated from trade linkages with the rest of the world. Sectoral impacts provide further insight into the results.

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2019冠状病毒病经济影响通过国际贸易的空间传播。
虽然对COVID-19的大部分关注都集中在病毒跨国界的物理传播上,但通过国际贸易和全球供应链,经济影响也存在类似的空间传播。本文分析了为减轻大流行而强制关闭的经济冲击对世界经济的影响程度。我们利用最先进的可计算一般均衡(CGE)模型来分析这些通过国际贸易的相互联系。我们孤立地比较了对美国GDP影响的估计,然后考虑到美国与中国和世界其他地区的贸易(ROW)来研究这些影响。我们的分析表明,这些国际贸易联系的影响通常是负面的,根据地区的不同,总体上从接近于零到非常大,而且对本国和跨国的影响也因地区而异。与此同时,我们发现,在其他地区强制关闭后,中国实际上能够通过国际贸易增加出口,从而能够利用这种情况。我们还确认,美国经济与世界其他地区的贸易联系相对隔绝。部门影响提供了对结果的进一步了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.30
自引率
11.10%
发文量
30
期刊介绍: Letters in Spatial and Resource Sciences (LSRS) publishes high-quality, shorter papers on new theoretical or empirical results and on models and methods in the social sciences that contain a spatial dimension. Coverage includes environmental and resource economics, regional and urban economics, spatial econometrics, regional science, geography, demography, agricultural economics, GIS and city and regional planning. Examples of topics include, but are not limited to, environmental damage, urbanization, resource allocation, spatial-temporal data use, regional economic development and the application of existing and new methodologies.LSRS contributes to the communication of theories and methodologies across disciplinary borders. It offers quick dissemination and easy accessibility of new results. Officially cited as: Lett Spat Resour Sci
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