IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/13934.html
   My bibliography  Save this paper

The effect of a collective exchange rate adjustment on East Asian exports

Author

Listed:
  • Rahman, Mizanur
  • Kalirajan, Kaliappa

Abstract

This paper estimates long-run effects of a collective exchange rate adjustment on multilateral exports from China, Japan, South Korea, and Taiwan. The findings show that a 1 percent generalized appreciation of all East Asian exchange rates would reduce East Asian exports by about 3 percent.

Suggested Citation

  • Rahman, Mizanur & Kalirajan, Kaliappa, 2008. "The effect of a collective exchange rate adjustment on East Asian exports," MPRA Paper 13934, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:13934
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/13934/1/MPRA_paper_13934.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mizanur Rahman, 2009. "The Impact of Real Exchange Rate Flexibility on East Asian Exports," The World Economy, Wiley Blackwell, vol. 32(7), pages 1075-1090, July.
    2. Rose, Andrew K. & Yellen, Janet L., 1989. "Is there a J-curve?," Journal of Monetary Economics, Elsevier, vol. 24(1), pages 53-68, July.
    3. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    4. Masahiro Kawai, 2008. "Toward A Regional Exchange Rate Regime In East Asia," Pacific Economic Review, Wiley Blackwell, vol. 13(1), pages 83-103, February.
    5. Alan Greenspan, 2005. "China: testimony before the Committee on Finance, U.S. Senate, June 23, 2005," Speech 125, Board of Governors of the Federal Reserve System (U.S.).
    6. Mizanur RAHMAN & Willem THORBECKE, 2007. "How Would China's Exports be Affected by a Unilateral Appreciation of the RMB and a Joint Appreciation of Countries Supplying Intermediate Imports?," Discussion papers 07012, Research Institute of Economy, Trade and Industry (RIETI).
    7. Cushman, David O., 1987. "U.S. bilateral trade balances and the dollar," Economics Letters, Elsevier, vol. 24(4), pages 363-367.
    8. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    9. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rahman, Mizanur, 2008. "The Impact of a Common Currency on East Asian Production Networks and China’s Exports Behavior," MPRA Paper 13931, University Library of Munich, Germany.
    2. Mizanur Rahman, 2009. "The Impact of Real Exchange Rate Flexibility on East Asian Exports," The World Economy, Wiley Blackwell, vol. 32(7), pages 1075-1090, July.
    3. Youngho Kang & Byung-Yeon Kim, 2018. "Immigration and economic growth: do origin and destination matter?," Applied Economics, Taylor & Francis Journals, vol. 50(46), pages 4968-4984, October.
    4. Eicher, Theo S. & Schreiber, Till, 2010. "Structural policies and growth: Time series evidence from a natural experiment," Journal of Development Economics, Elsevier, vol. 91(1), pages 169-179, January.
    5. Huy Quang Doan, 2019. "Trade, Institutional Quality and Income: Empirical Evidence for Sub-Saharan Africa," Economies, MDPI, vol. 7(2), pages 1-23, May.
    6. Ying Xu, 2009. "How does financial system efficiency affect the growth impact of FDI in China?," Asia Pacific Economic Papers 383, Australia-Japan Research Centre, Crawford School of Public Policy, The Australian National University.
    7. Imam, M. & Jamasb, T. & Llorca, M. & Llorca, M., 2018. "Power Sector Reform and Corruption: Evidence from Electricity Industry in Sub-Saharan Africa," Cambridge Working Papers in Economics 1801, Faculty of Economics, University of Cambridge.
    8. Castelló-Climent, Amparo & Mukhopadhyay, Abhiroop, 2013. "Mass education or a minority well educated elite in the process of growth: The case of India," Journal of Development Economics, Elsevier, vol. 105(C), pages 303-320.
    9. Florent Silve & Alexander Plekhanov, 2018. "Institutions, innovation and growth : Evidence from industry data," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(3), pages 335-362, July.
    10. Guglielmo Maria Caporale & Anamaria Diana Sova & Robert Sova, 2024. "The Covid‐19 pandemic and European trade flows: Evidence from a dynamic panel model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 2563-2580, July.
    11. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    12. Mohammad Ziaul Hoque & MD. Rabiul Islam & Mohammad Nurul Azam, 2013. "Board Committee Meetings and Firm Financial Performance: An Investigation of Australian Companies," International Review of Finance, International Review of Finance Ltd., vol. 13(4), pages 503-528, December.
    13. Alexander Klemm & Stefan Parys, 2012. "Empirical evidence on the effects of tax incentives," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(3), pages 393-423, June.
    14. Christoph S. Weber, 2018. "Central bank transparency and inflation (volatility) – new evidence," International Economics and Economic Policy, Springer, vol. 15(1), pages 21-67, January.
    15. Bongsuk Sung & Myoung Shik Choi & Woo-Yong Song, 2019. "Exploring the Effects of Government Policies on Economic Performance: Evidence Using Panel Data for Korean Renewable Energy Technology Firms," Sustainability, MDPI, vol. 11(8), pages 1-19, April.
    16. Kangyin Dong & Yalin Han & Yue Dou & Muhammad Shahbaz, 2022. "Moving toward carbon neutrality: Assessing natural gas import security and its impact on CO2 emissions," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(4), pages 751-770, August.
    17. SungJun Kim, 2017. "What drives shadow banking? A dynamic panel evidence," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Statistical implications of the new financial landscape, volume 43, Bank for International Settlements.
    18. Lips, Johannes, 2018. "Debt and the Oil Industry - Analysis on the Firm and Production Level," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181504, Verein für Socialpolitik / German Economic Association.
    19. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 70628, University Library of Munich, Germany.
    20. Alvarez, Javier & Arellano, Manuel, 2022. "Robust likelihood estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 226(1), pages 21-61.

    More about this item

    Keywords

    Global imbalance; exchange rate appreciation; collective adjustment; production networks; East Asia;
    All these keywords.

    JEL classification:

    • F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission
    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
    • F12 - International Economics - - Trade - - - Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

    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:pra:mprapa:13934. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc 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 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.