创新链与产业链双向嵌入研究——基于中国省域样本数据
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1.武汉理工大学 管理学院;2.湖北技术交易所

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F207

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国家社会科学基金面上项目“面向产学研用协同创新的四链融合机理研究”(17BGL230);武汉市科协科技创新智库项目(WHKX200306)


Bi-directional Embedding Mechanism between Innovation Chain and Industrial Chain based on the Provincial Data in China
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1.School of Management,Wuhan University of Technology;2.Hubei Technology Exchange

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    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。

    Abstract:

    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)InC are summarized, which are divided and divides them 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 is developed to explore the bi-directional embedding degree of the 31 provincial-level regions 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 between provinces within different regions.

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梁本部,谢科范,陈汉梅,陈云.创新链与产业链双向嵌入研究——基于中国省域样本数据[J].技术经济,2023,42(10):26-37.

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  • 收稿日期:2022-11-29
  • 最后修改日期:2023-10-18
  • 录用日期:2023-04-01
  • 在线发布日期: 2023-11-02
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