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      US Trade Actions Against China: A Supply Chain Perspective

      1 , 1
      Foreign Trade Review
      SAGE Publications

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          Abstract

          In 2018, the United States (US) Administration initiated several trade actions, including tariffs on China for unfair trade practices outlined by the US Trade Representative (USTR). In response, China filed requests for consultations with the World Trade Organization (WTO) and has implemented or threatened to implement increased tariffs on US products. In this article, the implications of current and potential US trade actions and responses by China on the US and global economy are estimated. We employ a dynamic supply chain model based on the widely used Global Trade Analysis Project (GTAP) Data Base and model. Our analysis finds that US gross domestic product (GDP) would be reduced by a projected –0.86 per cent in 2030 (or US$227.8 billion in 2017 dollars), as the role of the USA in global supply chains declines significantly. China’s GDP would also decline considerably by 2.84 per cent as a result of the actions imposed against it, while the rest of the world gain, as they fill the gaps left by US and Chinese producers.

          JEL: F16, C68

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          Most cited references7

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          The Trans-Pacific Partnership and Asia-Pacific Integration: A Quantitative Assessment

          Petri P. (2012)
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            Global trade analysis modeling and applications

            Hertel T. (1997)
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              Adjusting tax rates in the GTAP data base

              Malcolm G. (1998)
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                Author and article information

                Journal
                Foreign Trade Review
                Foreign Trade Review
                SAGE Publications
                0015-7325
                0971-7625
                August 2020
                May 21 2020
                August 2020
                : 55
                : 3
                : 337-371
                Affiliations
                [1 ] ImpactECON LLC, Boulder, CO, USA.
                Article
                10.1177/0015732520920465
                5437978c-49b7-4006-bf9e-2240d29bb49c
                © 2020

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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