摘要本文以中国地级及以上城市单元为空间尺度,从Web of Science核心合集数据库中手工整理2019年所有城市间合作论文数据,对中国城市间科研合作网络结构特征与网络生成问题进行研究。研究发现,中国城市间科研合作网络呈现出多级分层特征,具有小世界性且网络效率不高的特征。聚焦三大城市群的科研合作网络一体化分析发现,京津冀、长三角和珠三角城市群之间的科研联系邻近度要低于他们各自内部的科研联系邻近度,这意味着三大城市群的城市更多是在城市群内部建立科研联系,城市群之间的科研联系邻近度仍有待提升。进一步的QAP回归分析发现,地理邻近性、高校、经济发展水平、科研实力以及社会邻近性差异是影响中国城市间科研合作网络生成的重要因素。
Abstract:This paper based on the urban units at prefecture level and above in China as the spatial scale,manually collects the data of all inter-city collaboration papers in 2019 from the Web of Science core collection database,and examines the structure and formation of China's inter-city research collaboration network.We find that inter-cities collaboration network presents a multi-level hierarchical feature,with a small world,but the network efficiency is not high.The analysis of the integration of the scientific research collaboration network focusing on the three major urban agglomerations reveals that the proximity of scientific research connections among the Beijing-Tianjin-Hebei,Yangtze River Delta,and Pearl River Delta urban agglomerations is lower than the proximity of their respective internal scientific research connections,which means that more cities in the three urban agglomerations establish scientific research connections within urban agglomerations,and the proximity of scientific research connections between urban agglomerations still needs to be improved.Further QAP regression analysis shows that geographic proximity,universities,economic development level,scientific research strength,and differences in social proximity are important factors that affect the formation of China's inter-city scientific research collaboration network.
张萃, 冯雄金. 城市间科研合作网络结构特性与生成研究[J]. 中国科技论坛, 2023(1): 119-129.
Zhang Cui, Feng Xiongjin. Research on the Structure and Formation of Inter-City Research Collaboration Network in China. , 2023(1): 119-129.
[1]SCHERNGELL T.The geography of networks and R&D collaborations[M].Berlin:Springer,2013. [2]BERGE L R.Network proximity in the geography of research collaboration[J].Papers in regional science,2017,96(4):785-815. [3]LIM H,HAN C.National borders transcended:the impact of geographical proximity on the growth of global innovation networks among cities in East Asia[J].International journal of urban sciences,2021,33(1):1-29. [4]MAGGIONI M A,NOSVELLI M,UBERTI T E.Space versus networks in the geography of innovation:a European analysis[J].Papers in regional science,2007,86(3):471-493. [5]PONDS R,VAN OORT F,FRENKEN K.The geographical and institutional proximity of research collaboration[J].Papers in regional science,2007,86(3):423-443. [6]WANZENBOCK I,SCHERNGELL T,LATA R.Embeddedness of European regions in European Union-funded research and development(R&D)networks:a spatial econometric perspective[J].Regional studies,2015,49(10):1685-1705. [7]桂钦昌,杜德斌,刘承良,等.全球城市知识流动网络的结构特征与影响因素[J].地理研究,2021,40(5):1320-1337. [8]刘承良,桂钦昌,段德忠,等.全球科研论文合作网络的结构异质性及其邻近性机理[J].地理学报,2017,72(4):737-752. [9]张萃,欧阳冬平.“一带一路”战略下中国国际科研合作影响因素研究——基于Web of Science数据库中外合作科研论文的实证分析[J].国际贸易问题,2017(4):74-82. [10]顾伟男,刘慧,王亮.“一带一路”沿线国家科研合作网络的多元结构及形成机制[J].地理研究,2020,39(5):1070-1087. [11]周密,孙浬阳.专利权转移、空间网络与京津冀协同创新研究[J].科学学研究,2016,34(11):1736-1743,1760. [12]胡艳,时浩楠.长三角城市群城市创新的空间关联分析——基于社会网络分析方法[J].上海经济研究,2017(4):87-97. [13]马海涛,黄晓东,李迎成.粤港澳大湾区城市群知识多中心的演化过程与机理[J].地理学报,2018,73(12):2297-2314. [14]马妍,薛峰,孙威,等.海峡西岸经济区城市网络特征分析——基于功能网络与创新网络的视角[J].地理研究,2019,38(12):3010-3024. [15]段德忠,杜德斌,谌颖,等.中国城市创新网络的时空复杂性及生长机制研究[J].地理科学,2018,38(11):1759-1768. [16]周灿,曾刚,曹贤忠.中国城市创新网络结构与创新能力研究[J].地理研究,2017,36(7):1297-1308. [17]李丹丹,汪涛,魏也华,等.中国城市尺度科学知识网络与技术知识网络结构的时空复杂性[J].地理研究,2015,34(3):525-540. [18]赵程程.基于专利信息的人工智能技术创新网络图谱研究[J].中国科技论坛,2021(4):12-22,54. [19]UZZI B,SPIRO J.Collaboration and creativity:the small world problem[J].American journal of sociology,2005,111(2):447-504. [20]SCHILLING M A,PHELPS C C.Interfirm collaboration networks:the impact of large-scale network structure on firm innovation[J].Management science,2007,53(7):1113-1126. [21]BRESCHI S,LENZI C.Co-invention networks and inventive productivity in US cities[J].Journal of urban economics,2016,92:66-75. [22]RIVERA M T,SODERSTROM S B,UZZI B.Dynamics of dyads in social networks:assortative,relational,and proximity mechanisms[J].Annual review of sociology,2010,36:91-115. [23]BALLAND P A,DE VAAN M,BOSCHMA R.The dynamics of interfirm networks along the industry life cycle:the case of the global video game industry,1987—2007[J].Journal of economic geography,2013,13(5):741-765. [24]BOSCHMA R A.Proximity and innovation:a critical assessment[J].Regional studies,2005,39(1):61-74. [25]BROEKEL T,BOSCHMA R.Knowledge networks in the Dutch aviation industry:the proximity paradox[J].Journal of economic geography,2012,12(2):409-433. [26]刘凤朝,马荣康,姜楠.基于“985高校”的产学研专利合作网络演化路径研究[J].中国软科学,2011,(7):178-192. [27]贺德方.中国高影响力论文产出状况的国际比较研究[J].中国软科学,2011(9):94-99. [28]李琳,雒道政.多维邻近性与创新:西方研究回顾与展望[J].经济地理,2013,33(6):1-7,41. [29]SCHERNGELL T,HU Y.Collaborative knowledge production in China:regional evidence from a gravity model approach[J].Regional studies,2011,45(6):755-772. [30]李敬,陈澍,万广华,等.中国区域经济增长的空间关联及其解释——基于网络分析方法[J].经济研究,2014,49(11):4-16. [31]刘军.整体网分析:UCINET软件实用指南(第二版)[M].上海:格致出版社,2014. [32]吕承超,宋洁.金融发展缩小了我国地区经济差距吗——基于关系数据分析范式[J].经济学家,2020(9):42-52.