IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

Global Welfare Impact of China: Trade Integration and Technology Change

Author Info

Listed author(s):
  • Jing Zhang

    (University of Michigan)

Registered author(s):

    Abstract

    This paper evaluates the global welfare impact of China's trade integration and technological change in a multi-country quantitative Ricardian-Heckscher-Ohlin model. We simulate two alternative growth scenarios: a balanced one in which China's productivity grows at the same rate in each sector, and an unbalanced one in which China's comparative disadvantage sectors catch up disproportionately faster to the world productivity frontier. Contrary to a well-known conjecture (Samuelson 2004), the large majority of countries experience significantly larger welfare gains when China's productivity growth is biased towards its comparative disadvantage sectors. This finding is driven by the inherently multilateral nature of world trade.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: https://economicdynamics.org/meetpapers/2013/paper_630.pdf
    Download Restriction: no

    Paper provided by Society for Economic Dynamics in its series 2013 Meeting Papers with number 630.

    as
    in new window

    Length:
    Date of creation: 2013
    Handle: RePEc:red:sed013:630
    Contact details of provider: Postal:
    Society for Economic Dynamics Marina Azzimonti Department of Economics Stonybrook University 10 Nicolls Road Stonybrook NY 11790 USA

    Web page: http://www.EconomicDynamics.org/
    Email:


    More information through EDIRC

    Keywords:

    This paper has been announced in the following NEP Reports:

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as
    in new window


    1. Nicholas Bloom & Mirko Draca & John Van Reenen, 2016. "Trade Induced Technical Change? The Impact of Chinese Imports on Innovation, IT and Productivity," Review of Economic Studies, Oxford University Press, vol. 83(1), pages 87-117.
    2. Finicelli, Andrea & Pagano, Patrizio & Sbracia, Massimo, 2013. "Ricardian selection," Journal of International Economics, Elsevier, vol. 89(1), pages 96-109.
    3. Chang-Tai Hsieh & Ralph Ossa, 2011. "A Global View of Productivity Growth in China," NBER Working Papers 16778, National Bureau of Economic Research, Inc.
    4. Jonathan Eaton & Robert Dekle & Samuel Kortum, 2007. "Unbalanced Trade," American Economic Review, American Economic Association, vol. 97(2), pages 351-355, May.
    5. Robert E. Hall & Charles I. Jones, 1998. "Why Do Some Countries Produce So Much More Output per Worker than Others?"," Working Papers 98007, Stanford University, Department of Economics.
    6. Serge Shikher, 2012. "Putting industries into the Eaton--Kortum model," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 21(6), pages 807-837, November.
    7. Robert E. Hall & Charles I. Jones, 1999. "Why do Some Countries Produce So Much More Output Per Worker than Others?," The Quarterly Journal of Economics, Oxford University Press, vol. 114(1), pages 83-116.
    8. Costas Arkolakis & Arnaud Costinot & Andres Rodriguez-Clare, 2012. "New Trade Models, Same Old Gains?," American Economic Review, American Economic Association, vol. 102(1), pages 94-130, February.
    9. Ghosh, Madanmohan & Rao, Someshwar, 2010. "Chinese accession to the WTO: Economic implications for China, other Asian and North American economies," Journal of Policy Modeling, Elsevier, vol. 32(3), pages 389-398, May.
    10. Ju, Jiandong & Yang, Xuebing, 2009. "Hicks theorem: Effects of technological improvement in the Ricardian model," International Review of Economics & Finance, Elsevier, vol. 18(2), pages 239-247, March.
    11. Chang-Tai Hsieh & Ralph Ossa, 2011. "A Global View of Productivity Growth in China," Global COE Hi-Stat Discussion Paper Series gd10-166, Institute of Economic Research, Hitotsubashi University.
    12. Lorenzo Caliendo & Fernando Parro, 2015. "Estimates of the Trade and Welfare Effects of NAFTA," Review of Economic Studies, Oxford University Press, vol. 82(1), pages 1-44.
    Full references (including those not matched with items on IDEAS)

    The CitEc project has not yet found citations to this item.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Access and download statistics

    When requesting a correction, please mention this item's handle: RePEc:red:sed013:630. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christian Zimmermann)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.