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作 者:叶琴 曾刚[2] YE Qin;ZENG Gang(Department of Geography, Shanghai Normal University, Shanghai 200234, China;The Center for Modem Chinese City Studies/School of Urban & RegionalScience, East China NonnaJ University, Shanghai 200062,China)
机构地区:[1]上海师范大学旅游学院,上海200234 [2]华东师范大学中国现代城市研究中心/城市与区域科学学院,上海200062
出 处:《人文地理》2019年第3期7-13,145,共8页Human Geography
基 金:国家自然科学基金面上项目(41071093);德国科学基金会项目(LI 981/8-1 AOBJ:595493)
摘 要:借助Citespace软件,回顾相关文献,系统梳理了经济地理学领域创新网络的研究脉络、研究内容,明晰研究不足与研究方向。创新网络研究重点与研究方向:①网络空间尺度方面,已有研究关注集群内与集群间网络、城市内与城市间网络(城市群网络)、跨国公司全球网络配置等问题;未来研究应从单一尺度向多尺度网络耦合研究转变,从单一网络向多重网络融合研究转变。②网络演化及其驱动因素方面,节点演变、多维邻近性对网络演化的影响成为研究重点,未来应重视对产业和技术网络轨迹演变的研究。③网络结构及其对创新的影响方面,已有研究关注节点网络结构如何影响个体创新行为与创新结果,未来应深化整体网络结构和连接原因,以及网络组成对整体网络演化影响的研究。未来应加强对中国欠发达地区、中国后发跨国公司创新网络的实证研究,强化计量方法的应用,例如块模型、社区发现等方法。After 2000, the innovation network became a research hotspot of economic geography, which was used to explain industrial development, regional growth, and regional governance. However, the existing research still have fragmentation problems. This paper uses Citespace software to review related literatures,systematically combs the research context and research content of the innovation network in the field of economic geography, and clarifies the research shortage and direction. Innovation network research focus and research direction: Firstly, in terms of cyberspace scale, existing research has focused on intra-cluster and intercluster networks, intra-city and inter-city networks(urban agglomeration networks), and global network allocation of multinational corporations;future research should transform a single scale to multi-scale network coupling research, from single network to multiple network fusion research. Secondly, in terms of network evolution and its driving factors, node evolution and the influence of multi-dimensional proximity on network evolution has become the focal point of research. In the future, attention should be paid to the evolution of industry and technology network trajectories. Thirdly, network structure and its impact on innovation,research has focused on how the node network structure affects individual innovation behaviour and innovation results, the future should deepen the overall network structure and connection reasons, and the impact of network composition on the overall network evolution.
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