首页|战略性新兴产业创新网络演化特征及其影响因素——以广东省工业机器人产业为例

战略性新兴产业创新网络演化特征及其影响因素——以广东省工业机器人产业为例

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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.
Evolutionary Characteristics of Innovation Networks in Strategic Emerging Industries and Their Influencing Factors:Taking the Industrial Robot Industry in Guangdong Province as an example
Taking the strategic emerging industries as an example,this study explored the spatial and tempo-ral 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 bud-ding and initial stage,the scale expansion stage and the high-speed development stage in turn.The industrial inno-vation 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 develop-ment.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.

innovation networkmultidimensional proximityindustrial robotic industrynetwork structureGuangdong Province

王玉娇、千庆兰、陈清怡

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广州大学 地理科学与遥感学院,广州 510006

华南理工大学 建筑学院,广州 510641

创新网络 多维邻近性 工业机器人产业 网络结构 广东省

国家自然科学基金广东省哲学社会科学规划学科共建项目(2023)

41771127GD23XGL066

2024

地域研究与开发
河南省科学院 地理研究所

地域研究与开发

CSTPCDCHSSCD北大核心
影响因子:1.698
ISSN:1003-2363
年,卷(期):2024.43(4)