中文标题：中国三大城市群知识合作网络演化研究：结构特征与影响因素
英文标题：The Evolution of Interurban Knowledge Collaboration Networks of Three Major Urban Agglomerations of China: Structural Features and Impact Factors

作者信息
曹湛 同济大学建筑与城市规划学院博士后
彭震伟 同济大学建筑与城市规划学院，高密度人居环境生态与节能教育部重点实验室，教授 ( 通讯作者 )

摘要 创新是城市和区域持续增长的内生动力。区域整体的创新竞争力不仅取决于区域内个体城市的创新能力，也取决于不同城市之间的协同合作水平和网络化程度。首先，基于 Web of Science 数据库核心合集所收录的科研论文合著数据，构建京津冀、长江三角洲和粤港澳大湾区三个城市群的跨城知识合作网络；然后，借助空间分析和网络分析技术，系统地研究其空间结构特征；最后，利用多元二次指派程序模型，考察三个城市群知识合作网络结构差异的影响因素。研究发现：第一，三个城市群的知识合作网络空间结构的演化均呈现出稳定的、渐进的发展模式，遵循“空间依赖”和“路径依赖”的一般规律；第二，三个城市群的知识合作网络均呈现出显著的“非均衡”特征，但同时也表现出不同程度的“均衡化”发展趋势；第三，城市群的知识合作网络结构演化受到多种地域因素的共同影响，但同一种地域因素对不同城市群的影响作用不完全一致。

关键词 城市群；知识合作网络；结构特征；影响因素；多元二次指派程序模型

Abstract Innovation is acknowledged as the endogenous driving force for sustained development of cities and regions. The overall innovation capability of a region is not only determined by the innovation capacity of individual city within them, but also determined by the synergetic level and networking level between different cities. Firstly, based on the co-publication information mined from the Web of Science Core Collection database, the study constructs interurban knowledge collaboration networks of three major urban agglomerations in China, i.e. the Beijing-Tianjin-Hebei, the Yangtze River Delta and the Guangdong-Hong Kong-Macao Greater Bay Area. Secondly, by utilizing spatial and network analysis techniques, the spatial structures of these networks are examined. Lastly, the impact factors that determines the structural differences of the networks have been investigated by using a MRQAP regression. The results show that (1) in the evolution of the three interurban knowledge collaboration networks, both the spatial and topological structures have remained stable, showing general patterns of “spatial dependence” and “path dependence” respectively; (2) the pattern of uneven distribution can be found throughout those networks, albeit with a tendency of becoming more balanced to different extent; and (3) the evolution of the networks are influenced by various territorial factors, and a same factor may have different impacts on the network structures of different urban agglomerations.

Keywords urban agglomerations; knowledge collaboration networks; structural features; impact factors; MRQAP

来源：《城乡规划》2021 NO.5