THE PATTERN OF COUNTY'S INDUSTRIAL AGGLOMERATION BASED ON LEARNING LOCATION THEORY:A CASE STUDY FOR ZHONGYUAN URBAN AGGLOMERATIONS
利用河南省统计年鉴和经济普查数据，构建学习区位理论框架，通过空间自相关和空间滞后模型分析中原城市群县域产业集聚的时空演变及影响因素，发现学习能力、集聚经济等是显著促进因素。
The geographical concentration of economic activity is a common space phenomenon.Competitive industries(enterprises) concentrate in certain areas,dominating the pattern of local economic development.As an important research area,much attention has been paid to industrial agglomeration since 1980s.Based on data from Henan statistical yearbook during 2000 and 2009,Henan economic census yearbook in 2004 and the second basic unit's census,a theoretical framework of learning location is constructed with the core of local learning innovation.The evolution of industrial agglomeration is explored in Zhongyuan Urban Agglomerations between 1999 and 2008 by spatial autocorrelation model,and the spatial concentration and spatial difference of two-digit manufacturing industries in 2004 is put on great emphasis.Some detailed analyses are made on the influencing factors of the industrial geographic concentration by spatial lag model.It shows that a conceptual framework of location choice is provided by learning location analysis framework,spatial correlation coefficient method has advantages to describe the trend of industry agglomeration,and the reliability of results are improved on consideration of geographical proximity in spatial regression model.It concludes that,firstly,the county's industrial agglomeration in Zhongyuan Urban Agglomerations is significant and exits an inverted S fluctuation during recent decade.Secondly,various regions show different characteristics of industrial agglomeration and various manufacturing sectors exit different spatial characteristics.Thirdly,learning ability,agglomeration economies,local learning atmosphere and capital investment are significant factors to promote county's industrial agglomeration in Zhongyuan Urban Agglomerations.