Abstract：Based on Extended Distribution Dynamics model,this paper analyses the convergence and divergence of the distribution of the innovative capacity of 30 provinces in China during 1989—2012.Based on kernel density function,we find that the convergence trend is evident;Markov chain model considered different time length reveals that there exists obvious “club convergence” characteristics for provinces in high-level and low-level clubs,and the features are more obvious after 1997;regional background can affect the transformation of innovation,which can explain the“club convergence” characteristics of innovation level in China.The study also finds that the significant spatial spillover effect needs at least two years to appear
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