邻近性与关联性对创新的影响——以长三角地区电子信息产业为例  

The Impact of Geographical Proximity and Technological Relatedness on Innovation:Evidence from Electronic Information Industry in the Yangtze River Delta(YRD),China

作　　者：周灿 王丰龙 宓泽锋 尚勇敏[4] ZHOU Can;WANG Fenglong;MI Zefeng;SHANG Yongmin(School of Economics&Laboratory of Urban-Rural Spatial Digital Intelligence Governance,Zhejiang Gongshang University,Hangzhou 310018,China;School of Geography&The Center of Administrative Division and Spatial Governance,South China Normal University,Guangzhou 510631,China;School of Economics,Zhejiang University of Technology,Hangzhou 310000,China;Institute of Ecology and Sustainable Development,Shanghai Academy of Social Sciences,Shanghai 200020,China)

机构地区：[1]浙江工商大学经济学院/城乡空间数智治理研究实验室,杭州310018 [2]华南师范大学地理科学学院/行政区划与空间治理研究中心,广州510631 [3]浙江工业大学经济学院,杭州310000 [4]上海社会科学院生态与可持续发展研究所,上海200020

出　　处：《华南地理学报》2024年第3期90-104,共15页South China Geographical Journal

基　　金：浙江省哲学社会科学项目(24NDJC312YBMS);教育部人文社会科学重点研究基地重大课题(22JJD790032);广州市基础研究计划基础与应用基础研究项目(2023A04J0911);广东省自然科学基金面上项目(2024A1515012338)

摘　　要：地理邻近和技术关联(或知识多样性)对区域创新都具有重要影响。然而,已有经济地理学相关研究很少同时考虑邻近性和关联性的效应,尤其是很少关注不同空间尺度的技术关联对创新的综合影响。文章将空间溢出效应、本地知识基础多样性和外部知识联系的技术关联纳入统一的分析框架,利用中国国家知识产权局发明专利申请数据和熵指数方法,构建空间面板杜宾模型,着重考察区域本地—外部知识的技术关联水平对长三角电子信息产业创新的影响及空间效应。研究发现:(1)区域内部知识的关联性(技术关联)对长三角电子信息产业创新具有显著的促进作用,契合地理邻近视角下的Jacobs集聚外部性理论;相关多样性的创新效应强于不相关多样性,表明合适的认知距离能够提高本地知识基础对产业创新的促增效应。(2)本地—外部知识联系的相似性有利于长三角电子信息产业创新,本地—外部知识联系的相关多样性对创新的影响却不显著,可见相似性而非多样性对于推动跨地区的知识溢出具有更强的效应。(3)长三角电子信息产业创新呈现显著的空间集聚特征,在区域经济一体化等机制驱动下,本地产业创新对周边城市产生明显的正向空间溢出效应。Both geographical proximity and technological relatedness(or knowledge variety)are critical for regional industrial innovation.However,the existing economic geography literature rarely examine the effects of proximity and relatedness together,as most studies focus on technological relatedness within the same region or the proximity of the same types of knowledge.This article constructs a multi-scalar framework to integrate the effects of spatial spillover,variety in local knowledge base and technological relatedness of external knowledge linkages on innovation performance.The different types of variety variables for local and external knowledge are measured by entropy indicators using the patent data issued by the National Intellectual Property Administration of China(CNIPA).Spatial Panel Durbin Model is used to empirically investigate how relatedness of local knowledge bases and external linkages affect electronic information industrial innovation in the Yangtze River Delta,China.The main findings of this study are as follows.(1)Both related and unrelated variety of local knowledge base significantly promote electronic information industrial innovation in the Yangtze River Delta.This finding offers support for Jacobs's externalities theory from the perspective of geographical proximity.The innovation effect of related variety is stronger than unrelated variety,which indicates that an appropriate cognitive distance can improve the effect of local knowledge on industrial innovation.(2)The higher the similarity between the technological composition of the local knowledge and that of the collaborated regions,the higher the impact on the electronic information industrial innovation.The relatedness variable accounting for related variety in cross-regional technology collaboration weighted by the local knowledge base does not significantly correlate with industrial innovation.Thus,it seems that the external knowledge spillover for innovation mainly occurs among regions with similar knowledge bases rather than diversifi

关 键 词：技术关联 地理邻近性 多样性 相似性 创新产出 空间溢出效应 

分 类 号：K902[历史地理—人文地理学] F129.9[经济管理—世界经济]