基于空间计量经济学的高新技术产业集聚及其影响因素研究——以长江三角洲16个城市为例  

Research on High-tech Industries Agglomeration and Its Influencing Factors Based on the Spatial Econometrics — Taking the 16 Cities Along the Yangtze River Delta as an Example

作　　者：焦艳[1] 石奇[1] 王之军[1] 

机构地区：[1]南京财经大学产业发展研究院,江苏南京210046

出　　处：《西华大学学报（哲学社会科学版）》2013年第6期83-88,共6页Journal of Xihua University(Philosophy & Social Sciences)

基　　金：教育部人文社会科学重点研究基地重大项目(08JJD790139)

摘　　要：本文通过计算反映城市间空间关联的地理距离矩阵和经济社会矩阵,并将其引入空间自回归模型(SAR),从空间维度研究长江三角洲十六个城市高新技术产业集聚的影响因素。为克服空间面板数据模型中存在的固定效应,采用具有固定效应的空间自回归模型进行数据的拟合。研究结果表明:长三角各城市高新技术产业集聚存在空间相关性,城市间的地理距离、经济社会联系能够有效地刺激高新技术产业集聚地区间溢出,城市的创新能力、知识溢出、消费者需求对高新技术产业集聚均具有正向影响,政府行为中的对外开放度的影响为正,但政府干预过度及政策扶持过多的影响为负。The thesis reflects the urban spatial association among geographical distance matrix and the economic and social matrix through calculation, and introduces it into spatial autoregressive model （SAR）, doing research on high-tech industrial agglomeration factors of sixteen cities in the Yangtze River Delta through the spatial dimensions. To overcome the existing fixed-effects panel data model in space, it takes SAR with fixed effects for data fitting. The results show that the high-tech industries agglomeration has spatial correlation. The geographical distance between cities, economic and social ties can effectively stimulate the overflow of high-tech industry agglomeration. The city＇ s creative ability, knowledge spillovers and consumer demand have positive impact on the high-tech industry agglomeration. The degree of opening up to the outside world in the government action has positive influence on it, but impact of the government＇ s intervention and support of technology is negative.

关 键 词：高新技术产业集聚 空间自回归模型(SAR) 长江三角洲 

分 类 号：F276.44[经济管理—企业管理]