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长三角城市群创新网络演化及其多维邻近分析

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城市网络化是城市群发展到高级阶段的必然结果,创新网络是提高区域创新能力的重要支撑.以长三角城市群为例,采用空间网络模型和多元回归二次指派程序(MRQAP)分析该城市群创新网络结构并探究其邻近机理.结果显示:(1)长三角城市群创新能力总体呈现东南高、西北低的空间格局;(2)城市群创新网络节点中心性存在明显的等级特征;(3)地理、制度、认知、技术和社会邻近性与城市群创新网络存在明显的倒"U"型关系,地理邻近性和认知、技术邻近性是替代关系,与制度、社会邻近性是互补关系.长三角城市群协同创新网络仍有较大的提升空间,需进一步促进城市要素资源的高效流动,加强探索和鼓励城际网络合作新模式与新机制.
Evolutionary Characteristics and Multi-dimensional Proximity Mechanism of Intercity Innovation Networks in the Yangtze River Delta Urban Agglomeration
Urban networking is an inevitable result of the development of urban agglomerations to an ad-vanced stage,and innovation networks are an important support for enhancing regional innovation capabilities.Taking the Yangtze River Delta urban agglomeration as an example,this study uses spatial network models and the Multiple Regression Quadratic Assignment Procedure(MRQAP)to analyze the structure of the innovation network in this urban agglomeration and to explore its proximity mechanisms.The results show:(1)The overall spatial pattern of innovation capability in the Yangtze River Delta urban agglomeration is high in the southeast and low in the northwest;(2)The centrality of urban agglomeration innovation network nodes has obvious hierar-chical characteristics;(3)There is a clear inverted U-shaped relationship between geographic,institutional,cognitive,technological,and social proximity and the innovation network of urban agglomerations.Geographic proximity and cognitive and technological proximity are substitutable relationships,while they are complementary to institutional and social proximity.There is still much room for improvement in the collaborative innovation net-work of the Yangtze River Delta urban agglomeration,and it is necessary to further promote the efficient flow of urban element resources and to strengthen the exploration and encouragement of new models and mechanisms for intercity network cooperation.

innovation networkmulti-dimensional proximityMRQAPthe Yangtze River Delta Urban Agglomeration

蒋亮、陈洁

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许昌学院 地理与空间信息学院,河南 许昌 461000

惠州学院 地理与旅游学院,广东 惠州 516007

创新网络 多维邻近性 MRQAP 长三角城市群

2024

许昌学院学报
许昌学院

许昌学院学报

影响因子:0.196
ISSN:1671-9824
年,卷(期):2024.43(5)