IDEAS home Printed from https://ideas.repec.org/p/cge/wacage/246.html

The Armington Assumption and the Size of Optimal Tariffs

Author

Listed:
  • Li, Chunding

    (Institute of World Economics and Politics Chinese Academy of Social Sciences)

  • Wang, Jing

    (University of Western Ontario)

  • Whalley, John

    (University of Western Ontario)

Abstract

There has been commentary on the seeming success of the world trading system responding to the large shock of the 2008 financial crisis without an outbreak of retaliatory market closing. The threat of large retaliatory tariffs and fears of a 1930s style downturn in trade have been associated with numerical trade modelling which project post retaliation optimal tariffs in excesses of 100%. In the relevant numerical modelling it is common to use the Armington assumption of product heterogeneity by country. Here we argue and show by numerical calculation that the widespread use of this assumption gives a large upward bias to optimal tariffs, both first step and post retaliation, relative to alternative homogenous good models used in trade theory.

Suggested Citation

  • Li, Chunding & Wang, Jing & Whalley, John, 2015. "The Armington Assumption and the Size of Optimal Tariffs," CAGE Online Working Paper Series 246, Competitive Advantage in the Global Economy (CAGE).
  • Handle: RePEc:cge:wacage:246
    as

    Download full text from publisher

    File URL: http://www2.warwick.ac.uk/fac/soc/economics/research/centres/cage/manage/publications/246-2015_whalley.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. is not listed on IDEAS
    2. Sen, Rahul & Narayanan, Badri & Srivastava, Sadhana & Khorana, Sangeeta & Iyer, Chidambaran, 2020. "The Long-term Impact of Trade Wars and ‘Make in India on the Indian Economy," Conference papers 330229, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. Chai, Shanglei & Huo, Wenjing & Li, Qiang & Ji, Qiang & Shi, Xunpeng, 2025. "Effects of carbon tax on energy transition, emissions and economy amid technological progress," Applied Energy, Elsevier, vol. 377(PC).
    4. Bekkers, Eddy & Francois, Joseph & Rojas-Romagosa, Hugo, 2019. "Trade Wars: Nobody Expects the Spanish Inquisition," Papers 1234, World Trade Institute.
    5. Bekkers, Eddy & Teh, Robert, 2019. "Potential economic effects of a global trade conflict: Projecting the medium-run effects with the WTO global trade model," WTO Staff Working Papers ERSD-2019-04, World Trade Organization (WTO), Economic Research and Statistics Division.
    6. Jia, Zhijie & Lin, Boqiang, 2022. "Is the rebound effect useless? A case study on the technological progress of the power industry," Energy, Elsevier, vol. 248(C).
    7. Bekkers, Eddy & Teh, Robert, 2019. "Potential Economic Effects of a Global Trade Conflict: Projecting the medium-run effects with the WTO Global Trade Model," Conference papers 333120, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    8. Minford, Patrick & Xu, Yongdeng & Dong, Xue, 2023. "Testing competing world trade models against the facts of world trade," Journal of International Money and Finance, Elsevier, vol. 138(C).
    9. Peter A.G. van Bergeijk, 2019. "Deglobalization 2.0," Books, Edward Elgar Publishing, number 18560, August.
    10. Shantayanan Devarajan & Delfin S. Go & Csilla Lakatos & Sherman Robinson & Karen Thierfelder, 2021. "Traders' dilemma: Developing countries' response to trade wars," The World Economy, Wiley Blackwell, vol. 44(4), pages 856-878, April.

    More about this item

    Keywords

    ;

    JEL classification:

    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cge:wacage:246. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jane Snape (email available below). General contact details of provider: https://edirc.repec.org/data/dewaruk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.