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产业集聚与中国金融业全要素生产率——基于省域数据的GMM分析 被引量:7

Industry Agglomeration and Total Factor Productivity: GMM Analysis Based upon Data at Province Level
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摘要 本文基于MaimquiSt指数法和区位熵指数法分别对我国2000-2013年间的金融业全要素生产率增长指数和金融产业集聚水平指数进行测度,运用两阶段系统矩估计方法从全国和区域两个层面对金融产业集聚与金融业全要素生产率的关系进行实证检验。结果表明:从全国层面看,产业集聚对我国金融业的技术效率具有显著促进作用,而对全要素生产率和技术进步却起到抑制作用;从区域层面看,东部金融集聚对金融业全要素生产率和技术进步产生促进作用,而对金融业技术效率产生抑制作用;中西部金融集聚对金融业全要素生产率和技术进步产生抑制作用,而对金融业技术效率产生促进作用。最后,针对上面结论,提出不同地区金融集聚促进金融业全要素生产率增长的政策启示。 This paper uses the method of Malmquist index and the method of regional entropy to measure Total Factor Productivity and the level of financial agglomeration respectively, and tests the empirical relationship between financial agglomeration and the growth of TFP from the national level and the regional level by using two-step system GMM, The results show that financial agglomeration has a significant positive effect on the technical efficiency of China's financial industry, but it has a restraining effect on total factor productivity and technological progress from a national perspective.The financial agglomeration in the East has significant positive effects on the total factor productivity and technological progress of the financial industry, but it has a restraining effect on the technical efficiency of China's financial industry;the financial agglomeration in Midwest has significant restraining effects on the total factor productivity and technological progress of the financial industry, while it has a positive effect on the technical efficiency of the financial industry.In the end, this paper proposes the policy advice that financial agglomeration promotes the TFP to grow in different areas.
作者 林春
出处 《证券市场导报》 CSSCI 北大核心 2016年第6期19-26,共8页 Securities Market Herald
关键词 产业集聚 全要素生产率 技术进步 GMM模型 industry agglomeration, total factor productivity, technical progress, GMM model
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