制造业产业集聚与经济增长:基于分位数回归的实证分析  

Manufacturing Industry Concentration and Economic Growth:A Quantile Regression Approach

作　　者：张文君[1,2] 

机构地区：[1]江西行政学院,江西南昌330003 [2]江西财经大学,江西南昌330013

出　　处：《西安财经学院学报》2011年第6期16-20,共5页Journal of Xi’an University of Finance & Economics

基　　金：江西省高校人文社会科学重点研究基地研究项目(JD1025);江西省行政学院(党校)系统社会科学研究课题(11yb30)

摘　　要：利用E-G指数对我国制造业在不同时期的集聚程度与集聚结构进行测算。在此基础上,应用分位数回归建模对中国制造业经济增长与产业集聚的关系进行了分析,指出产业集聚在初始阶段有利于推动经济增长,资产规模对经济增长则具有明显的推动作用。This paper estimates the degree and the structure of comprehensive manufacturing industry through the Elison ＆Glaeser method. It also analyzes the relationship between manufacturing industry concentration and economic growth by the quantile regression approach, so that we can find out the contribution of industry concentration to economic growth under different quantiles, that is industry concentraion is benifit for the economic growth of manafacturing industry in the primary stage of the concentration but not in a longterm, the capital scale has a positive effect on the economic growth.

关 键 词：制造业 产业集聚 E—G指数 分位数回归 

分 类 号：F26[经济管理—国民经济]