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作 者:任传堂 汪涛[1,2] 谢聪 王璐玮 Ren Chuantang;Wang Tao;Xie Cong;and Wang Luwei(School of Geography,Nanjing Normal University,Nanjing 210023,China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China)
机构地区:[1]南京师范大学地理科学学院,南京210023 [2]江苏省地理信息资源开发与利用协同创新中心,南京210023
出 处:《热带地理》2024年第9期1636-1649,共14页Tropical Geography
基 金:国家自然科学基金项目(42271183);江苏高校哲学社会科学研究重大项目(2020SJZDA135);江苏省研究生科研创新计划项目(KYCX22_1505)。
摘 要:知识互动是创新产出的重要动力机制,知识互动的本地和非本地联系对城市创新绩效的作用仍有待进一步探讨。文章基于“网络资本”理论框架解释城市创新绩效,使用发明专利数据,从本地(城市内部)和跨界(城市外部)联系强度视角划分中国城市知识互动的网络模式,并分析本地-跨界联系及其互补性、平衡性和协同性对城市创新绩效的作用。以中国生物医药产业的实证结果显示:1)中国城市知识互动表现出高度空间非均衡性,知识互动联系由稀疏向稠密演化,同时非均衡性增强并表现出等级性、梯度性和集聚性等特征;2)本地联系与跨界联系的知识互动组合模式,将城市划分为网络型、外向型、内向型和孤岛型4种类型,其中网络型城市在知识互动网络体系中扮演重要角色,该类城市承担了创新产出的主要功能;3)本地联系、跨界联系以及本地-跨界互补性对城市创新绩效起显著的促进作用,而本地-跨界平衡性和本地-跨界协同性对城市创新绩效不显著。In the era of the knowledge economy,the production,distribution,and application of knowledge play increasingly important roles in the production of regional innovations,and the phenomenon of networking of knowledge interactions is becoming increasingly obvious.Knowledge interactions are an important driving mechanism of urban innovation performance,and the effects of local and non-local knowledge interaction linkages on urban innovation performance need to be clarified.This paper explains urban innovation performance on the basis of the"Network Capital"theoretical framework and argues that it is a function of the stock of network capital in each region;that is,the stock of local and cross-border connected network capital and the interrelationships between the two(complementarity,balance and synergy,etc.)are the key mechanisms driving urban knowledge acquisition and innovation performance.Through the analysis of patent transfer data,this study investigated the classification of Chinese urban innovation network patterns from the perspective of the strength of local(intra-city)and cross-border(inter-city)innovation linkages and analyzed the impacts of local and crossborder knowledge interaction linkages on urban innovation performance.The empirical results for China's biomedical industry led to the following conclusions:(1)The activity of knowledge interactions in Chinese cities is increasing,with the proportion of cross-border linkages steadily rising and the gap between them and local linkages gradually widening.Knowledge interactions in Chinese cities exhibit a high degree of spatial imbalance,with knowledge interactions evolving from being sparse to dense while the imbalance intensifies,exhibiting characteristics such as hierarchy,gradient,and agglomeration.(2)The knowledge interaction portfolio model based on local and cross-border linkages categorizes cities into four types:Networked,Outward-oriented,Inwardoriented,and Isolated.The distribution of Networked-type cities is clearly concentrated in the central an
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