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A New Method for Measuring the Economic Convergence and Its Application on Central China Provinces

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  • Malin Song
  • Shuhong Wang
  • Wei Liu

Abstract

In order to solve the shortcomings of classical convergence analysis and spatial econometric analysis, this paper proposes a delta statistics method to assess economic growth convergence of central China cities. The result shows to be more close to the reality by analyzing the drawbacks of the classical relative beta convergence, combining the advantages of gams convergence, reference panel data, co-integration theory with the time factor into model. Then, Monte Carlo simulation method is used to analyze its distribution, which shows that it obeys to the normal distribution assumption in large samples. At last, our method is applied to the analysis of economic convergence of central China.

Suggested Citation

  • Malin Song & Shuhong Wang & Wei Liu, 2012. "A New Method for Measuring the Economic Convergence and Its Application on Central China Provinces," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 25(4), pages 925-936, January.
    • Handle: RePEc:taf:reroxx:v:25:y:2012:i:4:p:925-936
    DOI: 10.1080/1331677X.2012.11517539
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