长三角区域知识合作网络演化的空间特征  

Spatial Configurations of Network Evolution of Inter-regional Knowledge Collaboration in the Yangtze River Delta

作　　者：胡晓辉[1,2] 杜德斌[2] 龚利[2] 

机构地区：[1]德国基尔大学经济地理系,基尔24118 [2]华东师范大学教育部科技创新与发展战略研究中心,上海200062

出　　处：《地域研究与开发》2012年第6期22-27,共6页Areal Research and Development

基　　金：国家自然科学基金项目(408710607);上海市科技发展基金软科学研究重点项目(11692100700)

摘　　要：借助社会网络方法和动态演化的视角,对1991—2010年长三角16个地区间知识合作网络演化的空间特征进行考察,剖析了各时段内网络空间分布特征及空间格局、网络节点的空间驱动机制和区域知识合作的空间选择倾向。结果表明:长三角区域知识合作网络演化过程存在空间极化现象,以沪宁为轴线的苏南地区明显优于浙北地区;区域结网的空间驱动方式逐步由沪宁杭为主的大城市驱动向中小城市驱动转变;知识合作网络在空间上呈明显的核心-边缘格局并将长期存在。地理临近、行政区临近和知识规模临近是影响区际知识合作空间对象选择的主要因素。其中,知识规模临近的作用不断增强,而地理临近与行政区临近的作用则不断减弱。This paper adopts social network approach and evolutionary perspective to explore the spatial fea- tures of inter-regional knowledge collaboration networks in the Yangtze River Delta from 1991 to 2010, examined the spatial characteristics of the macro network in evolution, the dynamism of network nodes and, the impact factors of spatial selection in the process of inter-regional knowledge collaboration. It is concluded that： there is a strong spatial polarization effect embedded in the evolution process of inter-regional knowledge collaboration network in the YRD, the density of collaborative networks in Southern Jiangsu province is much better than those in Northern Zhe- jiang province; The space driving forces of the regional knowledge networking are initially based on big cities such as Shanghai , Nanjing and Hangzhou then gradually changed to small and medium-sized cities, showing the core-pc- riphery model in space which would be extent for a long term. There are three main factors affecting the region cou- pling of knowledge collaboration, namely geographic proximity, administrative proximity and knowledge size prox- imity. The results show that the impacts of knowledge scale proximity are getting increasingly significant, while the impacts of other factors are diminishing.

关 键 词：区域知识合作 社会网络分析 动态演化 空间特征 长三角地区 

分 类 号：F127[经济管理—世界经济]