摘要
知识经济时代,技术内生关联交织成网,时空复杂性不断涌现,其演化规律及效应仍是“灰箱”。本文基于技术关联理论,系统揭示2002—2021年长三角地区技术关联网络的时空演化规律及其生长效应,发现:①网络持续增长,技术融合程度不断加深,高全局连通度的共性技术高度集聚于沪宁合杭甬发展带;②骨架结构逐渐由单核主导向多核并发递嬗,星状、链式与树型并存,网络枢纽和骨干位置处的技术生长普遍;③网络模块化特征显著,其数量相对稳定但规模分异明显,部类构成渐趋多样。核心技术发育于技术策源地(上海、南京、杭州等)和技术应用市场(常州、南通、湖州等);④单类技术生长渐趋多样,南通市、盐城市和金华市等创新资源集中城市倾向于优先发展部分门类;⑤城市技术关联网络结构演化模式分为综合创新型、水平拓展型、垂直深耕型和低水平均衡型,与城市经济能级和行政等级基本同构;⑥技术关联网络的生长效应存在异质性,其聚合和链式结构的正向作用边际效益递增,模块和全局特征呈“倒U”型。大学规模、企业规模、个体规模和政策环境都具有调节效应。
In the era of the knowledge economy,endogenous technological relatedness has increasingly evolved into networked configurations,profoundly reshaping the micro-level transmission mechanisms and output pathways of regional innovation.The spatiotemporal complexity and growth effects of these networks have attracted growing scholarly attention.Drawing on technological correlation theory,this study examines the spatiotemporal evolution and growth effects of the technological correlation network in the Yangtze River Delta(YRD)from 2002 to 2021.Results show that the network has expanded steadily,with deepening technological integration and a marked concentration of globally connected technologies along the Shanghai-Nanjing-Hefei-Hangzhou-Ningbo corridor.Its structural backbone has shifted from single-core dominance to multi-core concurrency,where star-shaped,chain-like,and tree-like patterns coexist,and the rise of hub and backbone technologies has become a key driver of urban innovation.The network also demonstrates strong modularity:the number of communities remains stable,yet their scales diverge and compositions diversify,with core technologies rooted both in origin hubs such as Shanghai,Nanjing,and Hangzhou and in application markets including Changzhou,Nantong,and Huzhou.While the knowledge base of individual technological clusters shows increasing diversification,cities with concentrated innovation resources—such as Nantong,Yancheng,and Jinhua—tend to prioritize specific domains.Patterns of urban network evolution can be categorized as comprehensive innovation,horizontal expansion,vertical specialization,or balanced low-level growth,broadly aligned with economic and administrative hierarchies.Growth effects are heterogeneous:aggregation and chain-like structures yield rising marginal benefits,while modular and global features follow an inverted U-shaped trajectory.These dynamics are further moderated by the scale of universities,enterprises,and individuals,as well as by the broader policy environment.
作者
陆兆鹏
张红
范斐
Lu Zhaopeng;Zhang Hong;Fan Fei(School of Geographic Sciences,East China Normal University,Shanghai 200241,China;Institute for Global Innovation&Development,East China Normal University,Shanghai 200062,China;The Center for Modern Chinese City Studies,East China Normal University,Shanghai 200062,China;Economics and Management School,Wuhan University,Wuhan 430072,Hubei,China)
出处
《地理科学》
北大核心
2025年第12期2600-2612,共13页
Geographical Science
基金
国家自然科学基金项目(42171420)
国家社会科学基金重大项目(23&ZD068)
上海市软科学基金项目(24692115600)资助。
关键词
技术关联网络
技术分蘖
知识基础
生长效应
技术复杂性
technological correlation network
technological branch
knowledge foundation
growth effects
technological complexity
