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作 者:王玉娇 千庆兰[1] 陈清怡 WANG Yujiao;QIAN Qinglan;CHEN Qingyi(School of Geography and Remote Sensing,Guangzhou University,Guangzhou 510006,China;School of Architecture,South China University of Technology,Guangzhou 510641,China)
机构地区:[1]广州大学地理科学与遥感学院,广州510006 [2]华南理工大学建筑学院,广州510641
出 处:《地域研究与开发》2024年第4期43-49,71,共8页Areal Research and Development
基 金:国家自然科学基金项目(41771127);广东省哲学社会科学规划2023年度学科共建项目(GD23XGL066)。
摘 要:以战略性新兴产业为例,探究2000—2020年广东省工业机器人产业创新网络不同阶段的时空演化特征,揭示多维邻近性对其形成演化的影响。结果表明:广东省工业机器人产业创新活动经历了萌芽初创期、规模扩张期和高速发展期;创新网络呈现从简单低级到复杂高级的演化过程,网络节点由以“佛山+深圳”为主要核心节点转变为“多节点”协同发展,内外部创新网络地域范围和规模不断扩大;地理邻近、技术邻近和制度邻近性对广东省工业机器人产业合作创新网络演化具有持续积极效应,3种邻近性之间的交互作用对合作创新活动的影响程度远超单一邻近性。Taking the strategic emerging industries as an example,this study explored the spatial and temporal evolutionary characteristics of the innovation network structure of the industrial robotics industry in Guangdong Province from 2000 to 2020 and the influence of multidimensional proximity on its formation and evolution.It is found that the innovation activities of industrial robotics industry in Guangdong Province have experienced the budding and initial stage,the scale expansion stage and the high-speed development stage in turn.The industrial innovation network shows the evolution process from simple and low-level to complex and high-level,and the network nodes gradually change from“Foshan+Shenzhen”as the main core nodes to“multi-nodes”synergistic development.Geographic proximity,technological proximity and institutional proximity have sustained positive effects on the evolution of collaborative innovation networks in the industrial robotics industry in Guangdong Province,and the interaction among the three types of proximity affects collaborative innovation activities in this industry to a much greater extent than single proximity.
关 键 词:创新网络 多维邻近性 工业机器人产业 网络结构 广东省
分 类 号:K902[历史地理—人文地理学]
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