IDEAS home Printed from https://ideas.repec.org/a/wsi/gejxxx/v20y2020i03ns2194565920500141.html
   My bibliography  Save this article

India–China Trade In Light And Heavy Manufacturing Sector: A Computable General Equilibrium Analysis

Author

Listed:
  • SABA ISMAIL

    (Department of Economics, Jamia Millia Islamia (A Central University), New Delhi)

  • SHAHID AHMED

    (Department of Economics, Jamia Millia Islamia (A Central University), New Delhi)

Abstract

The trade relations between India and China have been intensified since 2001. The aim of this paper is to examine the effects of tariff reduction by India and China on bilateral imports in light and heavy manufacturing sectors. The results are evaluated in terms of welfare, output, employment and the potential trade flows between India and China in CGE framework using the GTAP-model. GTAP database version 10, covering 141 countries/regions and 65 sectors, with a base year of 2014, have been used. Overall results show that India and China’s trade relation has improved in last two decades, but still there is a lot of untapped potential to bring the welfare gains for both trading partners. This study concludes that deeper integration by tariff reduction on imports of light manufacturing and heavy manufacturing sectors between India and China may not be welfare enhancing for India, however there are substantial welfare gain for China. The study suggests that a well calculated and strategically negotiated tariff reduction in light and heavy manufacturing sectors may create a win–win situation for both partners. The study argues that China should offer a preferential market access to India for mutually beneficial and welfare enhancing engagements for both countries.

Suggested Citation

  • Saba Ismail & Shahid Ahmed, 2020. "India–China Trade In Light And Heavy Manufacturing Sector: A Computable General Equilibrium Analysis," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 20(03), pages 1-24, September.
  • Handle: RePEc:wsi:gejxxx:v:20:y:2020:i:03:n:s2194565920500141
    DOI: 10.1142/S2194565920500141
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S2194565920500141
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S2194565920500141?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:wsi:gejxxx:v:20:y:2020:i:03:n:s2194565920500141. 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: Tai Tone Lim (email available below). General contact details of provider: https://www.worldscientific.com/worldscinet/gej .

    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.