服务业集聚现象测度模型及其应用  

Measure Model of Service Industrial Agglomeration and Its Application

作　　者：任英华[1] 邱碧槐[1] 王耀中[2] 

机构地区：[1]湖南大学金融与统计学院,湖南长沙410079 [2]长沙理工大学,湖南长沙410004

出　　处：《数理统计与管理》2011年第6期1089-1096,共8页Journal of Applied Statistics and Management

基　　金：国家社会科学基金项目(编号:09BTJ015)、国家社会科学基金重点项目(编号:08AJY035)

摘　　要：服务业集聚测度是服务业集聚研究的核心环节。本文通过服务业集聚指标和服务业集聚动态面板模型,从静态和动态两方面分析了我国服务业空间集聚的特征和动态规律。研究表明,我国服务产业集聚程度总体偏低,生产性服务业较消费性服务业有较高的区域集聚趋势和较明显的企业集聚趋势。服务业集聚水平变化是产业集聚回复效应和随机效应共同作用的结果。政府应根据不同服务行业的集聚特征,积极引导和推进服务行业有效集聚。The measurement of services agglomeration is the central part of research in the field. This paper uses index, EG index and panel-data model to describe the features and dynamics of geographic concentration in China service industries from both static and dynamic views. The results revealed that, services industrial agglomeration levels have kept low, producer service acts higher agglomeration degrees of industry and enterprises in service compared with consumer service. Agglomeration results from a combination of the mean reversion and randomness in the growth of industry employment. Government should guide actively and promote the service sector to an effective concentration based on the accumulation characteristics of different service industries.

关 键 词：服务业集聚 描述性分析 动态面板分析 

分 类 号：F719[经济管理—产业经济] O212[理学—概率论与数理统计]