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Making East Asian Regionalism Works

Author

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  • Fithra Faisal Hastiadi

    (Waseda Universit)

Abstract

For the past few years, regionalism has been progressing in East Asia with the likes of Cina, Japan, and Korea (CJK) as the most prominent actors. Unfortunately, with the absence of trade arrangement amongst the CJK, the present regional trade scheme is not sufficient to reach sustainability. This paper uncovers the inefficient scheme through Engle-Granger Cointegration and Error Correction Mechanism. Moreover, the paper underlines the importance of triangular trade agreement for accelerating the phase of growth in CJK which eventually create a spillover effect to East Asia as a whole. Employing Two Stage Least Squares in a static panel fixed effect model, the paper argues that the spillover effect will function as an impetus for creating region-wide FTA. Furthermore, the paper also identifies a number of economic and political factors that can support the formation of East Asian Regionalism.

Suggested Citation

  • Fithra Faisal Hastiadi, 2010. "Making East Asian Regionalism Works," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 13(1), pages 103-124, July.
  • Handle: RePEc:idn:journl:v:13:y:2010:i:1d:p:103-124
    DOI: https://doi.org/10.21098/bemp.v13i1.253
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    More about this item

    Keywords

    Regionalism; Engle-Granger Cointegration; Error Correction Mechanism; Fixed Effect; Two Stage Least Squares;
    All these keywords.

    JEL classification:

    • F15 - International Economics - - Trade - - - Economic Integration
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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