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A Spatial Investigation of σ-Convergence in China

  • Kuan-Pin Lin
  • Zhi-He Long
  • Mei Wu
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    Using techniques of spatial econometrics, this paper investigates σ-convergence of provincial real per capita gross domestic product (GDP) in China. The empirical evidence concludes that spatial dependence across regions is strong enough to distort the traditional measure of σ-convergence. This study focuses on the variation of per capita GDP that is dependent on the development processes of neighboring provinces and cities. This refinement of the conditional σ-convergence model specification allows for analysis of spatial dependence in the mean and variance. The corrected measure of σ-convergence in China indicates a lower level of dispersion in the economic development process. This implies a smaller divergence in real per capita GDP, although convergence across regions is still a challenging goal to achieve in the 2000s.

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    File URL: http://hi-stat.ier.hit-u.ac.jp/research/discussion/2005/pdf/D05-155.pdf
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    Paper provided by Institute of Economic Research, Hitotsubashi University in its series Hi-Stat Discussion Paper Series with number d05-155.

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    Date of creation: Mar 2006
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    Handle: RePEc:hst:hstdps:d05-155
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    1. Chen, Jian & Fleisher, Belton M., 1996. "Regional Income Inequality and Economic Growth in China," Journal of Comparative Economics, Elsevier, vol. 22(2), pages 141-164, April.
    2. H. Kelejian, Harry & Prucha, Ingmar R., 2001. "On the asymptotic distribution of the Moran I test statistic with applications," Journal of Econometrics, Elsevier, vol. 104(2), pages 219-257, September.
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