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张慧,刘家树,崔书会. 创新链视角下高技术产业创新韧性及其空间网络结构分析[J]. 安徽工业大学学报(自然科学版),2024,41(3):328-341. doi: 10.12415/j.issn.1671-7872.23147
引用本文: 张慧,刘家树,崔书会. 创新链视角下高技术产业创新韧性及其空间网络结构分析[J]. 安徽工业大学学报(自然科学版),2024,41(3):328-341. doi: 10.12415/j.issn.1671-7872.23147
ZHANG Hui, LIU Jiashu, CUI Shuhui. An Analysis of High-tech Industry Innovation Resilience and Its Spatial Network Structure from the Perspective of Innovation Chain[J]. Journal of Anhui University of Technology(Natural Science), 2024, 41(3): 328-341. DOI: 10.12415/j.issn.1671-7872.23147
Citation: ZHANG Hui, LIU Jiashu, CUI Shuhui. An Analysis of High-tech Industry Innovation Resilience and Its Spatial Network Structure from the Perspective of Innovation Chain[J]. Journal of Anhui University of Technology(Natural Science), 2024, 41(3): 328-341. DOI: 10.12415/j.issn.1671-7872.23147

创新链视角下高技术产业创新韧性及其空间网络结构分析

An Analysis of High-tech Industry Innovation Resilience and Its Spatial Network Structure from the Perspective of Innovation Chain

  • 摘要: 结合创新和韧性理论,基于创新链视角构建高技术产业创新韧性评价指标体系,以1997—2020年中国30个省(区、市)为样本,采用熵权−TOPSIS模型对高技术产业创新韧性进行综合测度,并采用社会网络分析法和修正引力模型,探究其空间关联网络特征及其驱动因素。结果表明:高技术产业创新链韧性的空间关联日趋紧密,网络关联数和网络密度呈阶段性小幅波动,网络等级度较为稳定;空间网络结构呈现“核心−边缘”特征,东部处于核心位置,而中、西部在网络中处于边缘位置;产业结构升级、研发投入和产业化能力等因素显著影响高技术产业创新链韧性的形成与演变。根据研究结论,提出政策建议:以整体观推动各省(区、市)要素协同、技术协同、产业协同,推动区域协同创新发展;发挥核心区域和边缘区域自身优势,促进各区域协调发展;发挥空间溢出效应,促进区域高技术产业创新链韧性增强;优化创新环境,提高资源配置效率。

     

    Abstract: Based on the theory of innovation and resilience, an evaluation index system of high-tech industry innovation resilience was constructed from the perspective of innovation chain, taking 30 provinces (regions and cities) of China as a sample from 1997 to 2020, the entropy weight and TOPSIS model was used to comprehensively measure the high-tech industries innovation resilience, and the social network analysis method and the modified gravity model were used to explore the characteristics and driving factors of its spatial association network. The results show that the spatial correlation of the resilience of the high-tech industry innovation chain is getting closer and closer, the number of network connections and the density of the network fluctuate slightly in phases, and the degree of the network is relatively stable. The structure of spatial network shows the characteristic of “core-edge”, with the east in the core position and the middle and west in the edge position factors such as industrial structure upgrading, R&D investment and industrialization capability significantly affect the formation and evolution of high-tech industry innovation chain resilience. Based on the research conclusions, policy recommendations are put forward as follows: foster provincial (district and municipal) synergy in factors, technology, and industries with an overarching perspective, driving regional collaborative innovation; leverage the inherent strengths of core and peripheral regions to promote balanced development across all areas; harness spatial spillover effects to enhance the resilience of regional high-tech industry innovation chain; and optimize the innovation environment to boost resource allocation efficiency.

     

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