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Short-run and long-run effects of exchange rate change on trade balance: Evidence from China and its trading partners

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  • Wang, Chun-Hsuan
  • Lin, Chun-Hung A.
  • Yang, Chih-Hai

Abstract

As one of largest exporting countries in the world, China has experienced a large amount of trade surpluses for the past decade. However, a growing criticism has been focused on the manipulation of Chinese Yuan (RMB) exchange rate by the Chinese government. While China implemented the exchange rate reform policy in July 2005, the question, whether its currency is undervalued remains as a debatable issue. Different from previous studies by focusing on individual trading partners, this paper tests the short-run J-Curve hypothesis and long-run trade balance effect of real exchange rate between China and its eighteen major trading partners using a panel dataset over the 2005–2009 period. We adopt the methodologies of panel cointegration test, fully modified OLS for heterogeneous cointegrated panel (panel FMOLS) and panel error correction model (panel ECM) to investigate the above examination. Our empirical results lend support to the inverted J-curve hypothesis between China and its trading partners. However, we find that a real appreciation of RMB has a decreasing long-run effect on China's trade balance in only three of the eighteen trading partners, while it has an increasing long-run effect in five of the eighteen trading partners. These mixed findings, therefore, lead to the empirical evidence that the real appreciation of RMB has no overall long-run impact on China's trade balance.

Suggested Citation

  • Wang, Chun-Hsuan & Lin, Chun-Hung A. & Yang, Chih-Hai, 2012. "Short-run and long-run effects of exchange rate change on trade balance: Evidence from China and its trading partners," Japan and the World Economy, Elsevier, vol. 24(4), pages 266-273.
  • Handle: RePEc:eee:japwor:v:24:y:2012:i:4:p:266-273
    DOI: 10.1016/j.japwor.2012.07.001
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    Cited by:

    1. Salah A. Nusair, 2017. "The J-Curve phenomenon in European transition economies: A nonlinear ARDL approach," International Review of Applied Economics, Taylor & Francis Journals, vol. 31(1), pages 1-27, January.
    2. Julio Bicudo & Nnanna Azu, 2018. "Effects of Bilateral Real Exchange Rate on Sino-Nigeria Trade: An ARDL Cointegration Approach," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(7), pages 125-125, July.
    3. Martin Gürtler, 2019. "Dynamic analysis of trade balance behavior in a small open economy: the J-curve phenomenon and the Czech economy," Empirical Economics, Springer, vol. 56(2), pages 469-497, February.
    4. Junaid Masih & Dongsheng Liu & Javed Pervaiz, 2018. "The Relationship between RMB Exchange Rate and Chinese Trade Balance: Evidence from a Bootstrap Rolling Window Approach," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(2), pages 35-47, February.
    5. Mohsen Bahmani-Oskooee & Jungho Baek, 2019. "Asymmetry cointegration and the J-curve: new evidence from Korean bilateral trade balance models with her 14 partners," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 24(1), pages 66-81, January.
    6. Bahmani-Oskooee, Mohsen & Baek, Jungho, 2016. "Do exchange rate changes have symmetric or asymmetric effects on the trade balance? Evidence from U.S.–Korea commodity trade," Journal of Asian Economics, Elsevier, vol. 45(C), pages 15-30.
    7. Onatunji Olufemi, 2019. "Do real exchange rate changes have symmetric or asymmetric effects on trade balance in Nigeria? Evidence from Non-linear ARDL Model," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 11(1), pages 14-23, June.
    8. Hongsheng Zhang & Bo Meng & Shuzhong Ma, 2018. "Determinants of China's bilateral trade balance in global value chains," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 27(5), pages 463-485, July.
    9. Hurley, Dene T. & Papanikolaou, Nikolaos, 2021. "Autoregressive Distributed Lag (ARDL) analysis of U.S.-China commodity trade dynamics," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 454-467.
    10. Chiu, Yi-Bin & Sun, Chia-Hung D., 2016. "The role of savings rate in exchange rate and trade imbalance nexus: Cross-countries evidence," Economic Modelling, Elsevier, vol. 52(PB), pages 1017-1025.
    11. Dene T. Hurley & Nikolaos Papanikolaou, 2018. "An Investigation of China‐U.S. Bilateral Trade and Exchange Rate Changes Using the Autoregressive Distributed Lag Model," Economic Papers, The Economic Society of Australia, vol. 37(2), pages 162-179, June.

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    More about this item

    Keywords

    Exchange rate; J-curve; Panel cointegration; Trade balance; China;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • O24 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Trade Policy; Factor Movement; Foreign Exchange Policy

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