苏州市区信息通讯企业空间集聚与新企业选址
收稿日期: 2009-07-08
修回日期: 2009-11-13
网络出版日期: 2010-02-25
基金资助
国家自然科学基金项目(40771053); 美国福特基金(1085-1022); 中国科学院知识创新工程项目(KZCX2-YW-321)
Spatial Agglomeration and New Firm Formation in the Information and Communication Technology Industry in Suzhou
Received date: 2009-07-08
Revised date: 2009-11-13
Online published: 2010-02-25
Supported by
National Natural Science Foundation of China, No.40771053; Ford Foundation of USA, No.1085-1022; Knowledge Innovation Program of CAS, No.KZCX2-YW-321
高科技产业是全球化背景下城市发展与区域竞争的关键,但是高科技产业发展空间极不平衡,空间要素显著影响高科技企业区位选择及空间集聚。针对现有研究主要集中在国家、省等大尺度单元,本文引入空间点模式分析方法,探讨了1996-2006年间苏州市区不同空间尺度上信息通讯企业的时空集聚特征。研究发现:在0~6km的尺度上,信息通讯企业表现出明显的集聚特征,并随着尺度的增加呈现出倒"U"型集聚趋势;随着时间的推移,企业空间集聚的"热点地区"逐渐从老城区向外围推移,但是集聚峰区依然主要分布在老城区及其外围的国家和省级开发区;同时,新企业的选址与原有企业的分布特征表现出很强的相关性。运用计数模型的计量结果也表明企业集聚特征对新企业区位选择具有显著影响,同时起作用的还有地方政府政策影响下的开发区建设、城市内外交通条件、自然环境条件等因素。
袁丰; 魏也华; 陈雯; 金志丰 . 苏州市区信息通讯企业空间集聚与新企业选址[J]. 地理学报, 2010 , 65(2) : 153 -163 . DOI: 10.11821/xb201002003
The high-tech industry is the key to urban development and regional competitiveness in the context of globalization. However, the distribution of the high-tech industry is spatially uneven, and spatial factors significantly influence its location decision and spatial agglomeration. Although the substantial progress has been made in the studies on industrial agglomeration and location in China, little attention has been paid to the intra-city level. This paper analyzes spatial agglomeration and its influence on new firm location decision in Suzhou city, with a focus on the information and communication technology (ICT) industry. Based on point pattern analysis methods, we find that the level of agglomeration exhibits an inverted-U pattern, with the maximum being around 6 kilometers. Temporarily, hot spots of spatial agglomeration shifts from the old city district towards suburban areas, but ICT firms are still mainly concentrated in national-level development zones surrounding the old urban district. Meanwhile, new firm formation is highly correlated to the distribution of existing firms, which is re-enforcing spatial agglomeration. Poisson regression model has revealed the significant role of agglomeration, as well as development zones, transportation conditions and physical environments, in new firm formation.
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