Original scientific paper
A new method for measuring the economic convergence and its application on central China provinces
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.
Keywords
economic development; convergence; Monte Carlo simulation; Central China
Hrčak ID:
97019
URI
Publication date:
1.12.2012.
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