2019
DOI: 10.1038/s41467-019-12890-3
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Carbon and health implications of trade restrictions

Abstract: In a globalized economy, production of goods can be disrupted by trade disputes. Yet the resulting impacts on carbon dioxide emissions and ambient particulate matter (PM2.5) related premature mortality are unclear. Here we show that in contrast to a free trade world, with the emission intensity in each sector unchanged, an extremely anti-trade scenario with current tariffs plus an additional 25% tariff on each traded product would reduce the global export volume by 32.5%, gross domestic product by 9.0%, carbon… Show more

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Cited by 58 publications
(48 citation statements)
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References 97 publications
(138 reference statements)
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“…Even though the Sino-US trade conflict has led to a deceleration of globalization since 2018 (ref. 18 ) and COVID-19 further impacted global supply chains, the world is still connected via a highly interdependent production system. The economic impacts of COVID-19 and lockdown policies will be amplified via the ripple effects through global supply chains most likely continuing throughout the coming years.…”
mentioning
confidence: 99%
“…Even though the Sino-US trade conflict has led to a deceleration of globalization since 2018 (ref. 18 ) and COVID-19 further impacted global supply chains, the world is still connected via a highly interdependent production system. The economic impacts of COVID-19 and lockdown policies will be amplified via the ripple effects through global supply chains most likely continuing throughout the coming years.…”
mentioning
confidence: 99%
“…In this context, U.S. and Chinese manufacturing accounts for a substantial portion of the global industrial output (around 45% in United Nations Statistics Division 2018 Report). China has been on a substantial growth trend in both manufacturing and nonmanufacturing activities and passed the U.S. manufacturing output after the 2010s [49].…”
Section: Discussionmentioning
confidence: 99%
“…We separate the world into countries and aggregated regions based on economic volume and geographical location, similar to our previous study 37,38 . These regions are detailed in Supplementary Table 1.…”
Section: Region and Scenario Settingmentioning
confidence: 99%