机构地区:[1]武汉大学城市设计学院,湖北武汉430072 [2]武汉大学中国发展战略与规划研究院,湖北武汉430072 [3]北京交通大学建筑与艺术学院,北京100044
出 处:《地理科学》2025年第3期484-494,共11页Scientia Geographica Sinica
基 金:国家自然科学基金项目(52408050,42471304);教育部人文社会科学研究项目(24YJA630097)资助。
摘 要:中国城市创新网络具有高生成性兼具高波动性,既有研究考察了创新网络的生成机制,但对于创新关系的维持/解除进程及其背后的高波动性机理尚待明晰。基于“生成–维持”视角,采用2001—2019年合作发明专利构建全国创新网络,探索其演化特征,并采用可分离式时态指数随机图模型,分别揭示创新关系的生成与维持机制。研究发现:①中国创新网络规模日趋扩大,空间格局由三角形向“菱形+十字”发育。维持进程呈现“上三角–全三角–菱形–菱形+十字”的演化路径;生成进程呈现与下一阶段维持进程类似格局,并由“北上深”主导转为以城市群为主体,反映出路径依赖效应;解除进程由生成网络中的核心节点,以及中国东北、西南城市主导。②创新网络演化机制出现阶段性分异。聚集效应对创新关系由抑制转为促进,中介效应对创新关系由促进转为抑制;传递效应、GDP与创新水平、地理邻近性与组织邻近性对城市创新关系的促进作用持续下降。③创新关系生成与维持的演化机制具有差异性。经济规模和创新水平对于创新关系的维持作用基本失效,地理邻近性对于创新关系的生成作用下降,但是维持作用上升。本文增益于既有研究中对创新关系维持机制的探索不足,为提升创新网络的成长性、降低其波动性,提供了理论与方法支撑。China’s innovative network exhibits high productivity combined with high volatility.While existing research has focused on the generative mechanisms of the network,the process of maintaining or dissolving innovative relationships and the underlying causes of high volatility remain unclear.Based on the“generation-maintenance”perspective,this study constructs a national innovative network using collaborative invention patents from 2001 to 2019,explores its evolutionary characteristics,and employs a separable temporal index random graph model to reveal the mechanisms of generating and maintaining innovative relationships.The results show that:1)The scale of China’s innovative network is expanding,and the spatial pattern is evolving from a triangle to a“diamond+cross”shape.The innovation network maintenance process presents an evolutionary path of“upper triangle-full triangle-diamond-diamond+cross”in four stages.The formation process presents a spatial pattern similar to the maintenance process in the next stage,and it changes from the north-to-Shenzhen dominant to the urban agglomeration as the main body,reflecting the path-dependent effect.The unwinding process is dominated by the core nodes in the generating network,as well as cities in the northeast,southwest.2)The evolutionary mechanisms of the innovative network show stage-dependent differentiation.The agglomeration effect has changed from inhibiting to promoting innovative relationships,while the intermediary effect has shifted from promoting to inhibiting innovative relationships.The effects of transmission,GDP,innovation level,geographic proximity,and organizational proximity on urban innovative relationships have continued to decline.3)The evolutionary mechanisms of generating and maintaining innovative relationships have differences.Economic scale and innovation level have become ineffective in maintaining innovative relationships,while the effect of geographic proximity on generating innovative relationships has continued to decline but ha
关 键 词:城市创新网络 动态网络分析 可分离式时态指数随机图模型(STERGM) 中国
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