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US Trade Actions Against China: A Supply Chain Perspective

Author

Listed:
  • Terrie Walmsley
  • Peter Minor
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

Suggested Citation

  • Terrie Walmsley & Peter Minor, 2020. "US Trade Actions Against China: A Supply Chain Perspective," Foreign Trade Review, , vol. 55(3), pages 337-371, August.
    • Handle: RePEc:sae:fortra:v:55:y:2020:i:3:p:337-371
    DOI: 10.1177/0015732520920465
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    References listed on IDEAS

    as
    1. Ianchovichina, Elena & McDougall, Robert, 2000. "Theoretical Structure Of Dynamic Gtap," Technical Papers 28723, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
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    7. Minghao Li & Edward J. Balistreri & Wendong Zhang, 2018. "The 2018 Trade War: Data and Nascent General Equilibrium Analysis," Center for Agricultural and Rural Development (CARD) Publications 18-wp587, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    8. Malcolm, Gerard, 1998. "Adjusting Tax Rates In The Gtap Data Base," Technical Papers 28721, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    9. Ianchovichina,Elena & Walmsley,Terrie L. (ed.), 2012. "Dynamic Modeling and Applications for Global Economic Analysis," Cambridge Books, Cambridge University Press, number 9781107002432, September.
    10. Ken Itakura, 2020. "Evaluating the Impact of the US–China Trade War," Asian Economic Policy Review, Japan Center for Economic Research, vol. 15(1), pages 77-93, January.
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    Cited by:

    1. Terrie Walmsley & Adam Rose & Dan Wei, 2021. "The Impacts of the Coronavirus on the Economy of the United States," Economics of Disasters and Climate Change, Springer, vol. 5(1), pages 1-52, April.
    2. Dixon, Peter B. & Rimmer, Maureen T., 2022. "Winners and losers in global supply chain trade: Embedding GSC in CGE," Economic Modelling, Elsevier, vol. 106(C).
    3. Walmsley, Terrie & Rose, Adam & John, Richard & Wei, Dan & Hlávka, Jakub P. & Machado, Juan & Byrd, Katie, 2023. "Macroeconomic consequences of the COVID-19 pandemic," Economic Modelling, Elsevier, vol. 120(C).
    4. Adam Rose & Terrie Walmsley & Dan Wei, 2021. "Spatial transmission of the economic impacts of COVID-19 through international trade," Letters in Spatial and Resource Sciences, Springer, vol. 14(2), pages 169-196, August.

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    More about this item

    Keywords

    U.S. trade actions; China; supply chains; tariffs; global trade model;
    All these keywords.

    JEL classification:

    • F16 - International Economics - - Trade - - - Trade and Labor Market Interactions
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models

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