IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/16686.html

Rebalancing and the Chinese VAT: Some Numerical Simulation Results

Author

Listed:
  • Chunding Li
  • John Whalley

Abstract

This paper presents numerical simulation results that suggest that China can both reduce its trade imbalance and receive welfare benefits by switching the value added tax (VAT) regime from the current destination principle to an origin principle. With the tax on exports exceeding that no longer collected on imports, revenues rise and exports fall. VAT regime switching is thus a possibility for China to receive a double benefit, rebalancing trade with a welfare gain. This has implications for present G20 discussions on finding ways to adjust global trade imbalances. Under a destination principle, imports are taxed but input taxes are rebated on exports (as currently). Under an origin basis imports are not taxed, but no export rebates are given. Previous VAT literature stresses the neutrality of tax basis switches, which simply reflect moving between consumption and production taxes, but neutrality only holds when trade is balanced. In the unbalanced trade case for countries with a trade surplus, such as China, an origin basis offers a lower tax rate on an equal yield basis and reduced exports. We use a two country endogenous trade imbalance general equilibrium global trade model with endogenous factor supply, a fixed exchange rate and a non-accommodative monetary policy structure which supports the Chinese trade imbalance. We calibrate model parameters to 2008 data and simulate counterfactual equilibria for VAT tax basis switches in which the trade imbalance changes. Our results suggest that given China's trade surplus VAT regime switching to an origin can decrease China's trade surplus by over 50%, and additionally increase Chinese and world welfare. The rest of the world's production and welfare improves simultaneously.

Suggested Citation

  • Chunding Li & John Whalley, 2011. "Rebalancing and the Chinese VAT: Some Numerical Simulation Results," NBER Working Papers 16686, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:16686
    Note: ITI
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w16686.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. Romain Houssa & Kelbesa Megersa, 2017. "Institutional quality, economic development and the performance of VAT," BeFinD Working Papers 0115, University of Namur, Department of Economics.
    2. John Whalley, 2012. "External Sector Rebalancing and Endogenous Trade Imbalance Models," Contemporary Economics, Vizja University, vol. 6(4), December.
    3. Qi, Tianyu & Winchester, Niven & Karplus, Valerie J. & Zhang, Xiliang, 2014. "Will economic restructuring in China reduce trade-embodied CO2 emissions?," Energy Economics, Elsevier, vol. 42(C), pages 204-212.
    4. Li, Chunding & Wang, Jing & Whalley, John, 2016. "Impact of mega trade deals on China: A computational general equilibrium analysis," Economic Modelling, Elsevier, vol. 57(C), pages 13-25.
    5. Chunding Li & Jing Wang & John Whalley, 2014. "Numerical General Equilibrium Analysis of China's Impacts from Possible Mega Trade Deals," NBER Working Papers 20425, National Bureau of Economic Research, Inc.

    More about this item

    JEL classification:

    • F1 - International Economics - - Trade
    • F10 - International Economics - - Trade - - - General
    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

    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:nbr:nberwo:16686. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.