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作 者:梁本部 谢科范[1] 陈汉梅 陈云[1] Liang Benbu;Xie Kefan;Chen Hanmei;Chen Yun(School of Law,Humanities and Sociology,Wuhan University of Technology,Wuhan 430070,China;Hubei Technology Exchange,Wuhan 430071,China)
机构地区:[1]武汉理工大学法学与人文社会学院,武汉430070 [2]湖北技术交易所,武汉430071
出 处:《技术经济》2023年第10期26-37,共12页Journal of Technology Economics
基 金:武汉市科协科技创新智库项目“武汉都市圈创新链产业链人才链深度融合的对策研究”(WHKX200306)。
摘 要:基于产业价值链视角和网络嵌入性理论,梳理创新链与产业链双向嵌入基本概念与嵌入原则,将其划分为意识嵌入、需求嵌入和技术嵌入类型。构建创新链与产业链双向嵌入指标体系,借助复合系统模型测算中国31个省级区域(因数据缺失,未包含港澳台地区)2016—2020年的双链双向嵌入度,从空间、时间和嵌入类型层面考察双链双向嵌入度分布现状和未来形势。研究发现:当前全国创新链和产业链双向嵌入度稳步上升,省份之间存在五个层次,具有“南强北弱”和“强者越强”现象;双向嵌入度低层次省份在嵌入度增速上具有后发优势,并随着产业转移呈现“由东部沿海向内陆中西部延伸”趋势;需求嵌入成为区域双链双向嵌入度的主要内容,嵌入类型在不同区域内部省份之间表现出较大差异。Based on the theories of the industrial value chain and the network embeddedness,the basic concepts and principles of bi-directional embeddedness of the innovation chain(InC)and the industrial chain(IdC)are summarized,which are divided into consciousness embeddedness,demand embeddedness and technology embeddedness.In order to investigate the current situation and trends of the bi-directional embeddedness degree distribution at the spatial,temporal and embedding type levels,the bi-directional embedding index system employing the conceptual model was developed to explore the bi-directional embedding degree of the 31 provincial-level regions(Due to the lack of data,the statistical data mentioned here do not include the Hong Kong Special Administrative Region,the Macao Special Administrative Region and Taiwan Province.)in China from 2016 to 2020 by using the composite system model.The results show that the current national bi-directional embeddedness of the InC and IdC has steadily increased.There are five levels between provinces with the phenomenon of"the south is strong and the north is weak"and"the stronger the stronger".These provinces with low-level bi-directional embedding degrees have a late-mover advantage.There is a trend of"extending from the eastern coast to the inland,central and western regions"with the transfer of industries.Demand embedding has become the main content and the types of embedding show great differences betw een provinces within different regions.
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