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机构地区:[1]南京大学商学院,南京210093
出 处:《经济理论与经济管理》2014年第3期48-58,共11页Economic Theory and Business Management
基 金:国家社科基金项目(09BJY079);江苏省高校哲学社会科学研究重大项目(2010ZD AXM009)
摘 要:本文基于中国2000—2011年261个地级及以上城市的面板数据,利用两步系统GMM方法,实证分析了服务业集聚的动态溢出效应。研究结果表明:第一,服务业集聚显著促进服务业劳动生产率增长,而滞后一期的服务业集聚与服务业生产率之间存在负相关关系,服务业集聚的"拥塞效应"和"集聚效应"会在不同时期达到不同均衡状态。第二,服务业集聚与人均GDP之间交叉相乘项不利于服务业劳动生产率的提升。该结果表明,服务业集聚对生产率影响的积极效应受到经济发展水平的影响。第三,制造业集聚、物质资本、人力资本均有利于服务业劳动生产率提升。另外,本文分区域研究了东、中、西部城市服务业集聚的动态效应,提出了相应的政策措施。Based on two-step system GMM method, this paper empirically analyzed the dynamic impact of service agglomeration on service labor productivity by using the urban panel data of 261 cities in China from 2000-2011. The results indicated as follows. Firstly, service agglomeration significantly promoted labor productivity growth in service sector, while the lagging one would have negative correlation between productivity. This result suggested service agglomeration's congestion effects and agglomeration effect would achieve different equilibrium situation at different times. Secondly, cross-multiplication item between service agglomeration and lagged GDP per capita was not conducive to improve service productivi- ty, the positive impact on service industry would be influenced by economic development levels. Thirdly, manufacturing agglomeration, physical capital and human capital were conducive to enhance service labor productivity. In addition, this paper studied the dynamic productivity effects of urban service agglomeration in the eastern, central and western region and suggested the corresponding policies and measures.
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