覃成林, 黄龙杰. 粤港澳大湾区城市间协同创新联系及影响因素分析[J]. 北京工业大学学报(社会科学版), 2020, 20(6): 56-65. DOI: 10.12120/bjutskxb20200656
    引用本文: 覃成林, 黄龙杰. 粤港澳大湾区城市间协同创新联系及影响因素分析[J]. 北京工业大学学报(社会科学版), 2020, 20(6): 56-65. DOI: 10.12120/bjutskxb20200656
    QIN Chenglin, HUANG Longjie. An Analysis of the Urban Synergy Innovation Relationship and Its Constraints on Guangdong-Hong Kong-Macao Greater Bay Area[J]. JOURNAL OF BEIJING UNIVERSITY OF TECHNOLOGY(SOCIAL SCIENCES EDITION), 2020, 20(6): 56-65. DOI: 10.12120/bjutskxb20200656
    Citation: QIN Chenglin, HUANG Longjie. An Analysis of the Urban Synergy Innovation Relationship and Its Constraints on Guangdong-Hong Kong-Macao Greater Bay Area[J]. JOURNAL OF BEIJING UNIVERSITY OF TECHNOLOGY(SOCIAL SCIENCES EDITION), 2020, 20(6): 56-65. DOI: 10.12120/bjutskxb20200656

    粤港澳大湾区城市间协同创新联系及影响因素分析

    An Analysis of the Urban Synergy Innovation Relationship and Its Constraints on Guangdong-Hong Kong-Macao Greater Bay Area

    • 摘要: 加强城市间协同创新联系是粤港澳大湾区建设国际科技创新中心的一个主要途径,用城市间发明专利联合申请量作为城市间协同创新联系的代理变量,运用社会网络分析方法和负二项回归模型,分析了粤港澳大湾区城市间协同创新联系的网络特征、空间格局演变及其影响因素。研究发现:2008—2016年粤港澳大湾区城市间协同创新联系越来越紧密,网络集聚能力逐渐增强,网络内部集团化程度增加,并形成了以深圳、广州为核心,分别向东莞与佛山延伸的佛—穗—莞—深创新走廊;地理邻近对粤港澳大湾区城市间协同创新联系有显著的正向影响,而技术邻近则产生了负向作用。为了提升城市间协同创新效率,粤港澳大湾区应依托现有的协同创新联系网络,构建城市间协同创新合作平台,同时加强城际快速交通网络建设,在产业结构调整和升级过程中引导各城市增强技术互补性。

       

      Abstract: Strengthening inter-city synergy innovation relationship is a major way for the Guangdong-Hong Kong-Macao Grater Bay Area to build an international technological innovation center. This paper uses the amount of joint applications for invention patents between cities as an index to measure the relationship between urban synergy innovations, and uses the social network analysis method and negative binomial regression model to analyze the network characteristics, spatial pattern evolution and constraints of synergy innovation links between cities in Guangdong-Hong Kong-Macao Grater Bay Area. The study finds that from 2008 to 2016, the synergy innovation links between cities in the Great Bay Area are becoming closer and closer, the network agglomeration capacity is gradually enhanced, and the degree of collectivization within the network is increasing. In the network, an innovation corridor with Shenzhen and Guangzhou as the core and extending to Dongguan and Foshan has been respectively formed, with a positive impact of technology proximity on urban synergy innovation, while a negative effect on technology neighbors. The Guangdong-Hong Kong-Macao Grater Bay Area should rely on the existing pattern of synergy innovation, build the platform for inter-city innovation and cooperation, strengthen the construction of inter-city transportation network, and make good use of the complementarity of innovative technology resources, so as to enhance the innovation efficiency of the Great Bay Area.

       

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