科研管理

科研管理 ›› 2024, Vol. 45 ›› Issue (5): 94-104.DOI: 10.19571/j.cnki.1000-2995.2024.05.010

• 论文 • 上一篇    下一篇

创新生态系统视角下数字技术对区域创新绩效的影响效应研究

王京，陈晶，李舒妍   

  1. 哈尔滨理工大学经济与管理学院，黑龙江 哈尔滨150040
  • 收稿日期:2022-11-15 修回日期:2023-10-28 出版日期:2024-05-20 发布日期:2024-05-07
  • 通讯作者: 王京
  • 基金资助:
    国家自然科学基金项目:“云制造联盟创新生态系统演化机理与运行机制研究”(71804035，2019.01—2021.12)；国家社会科学基金项目:“数字技术驱动下共享制造绿色创新生态系统服务模式及价值实现机制研究”(23BGL077，2023.09—2026.12)；教育部人文社会科学研究项目:“工业5.0视域下智慧云制造绿色创新协同模式研究”(22YJC630133，2022.09—2025.09)；黑龙江省自然科学基金项目:“绿色创新系统视域下黑龙江省智慧云制造产业生态化演进研究”(LH2022G012，2022.07—2025.07)；黑龙江省高端智库-人口经济与人才发展战略研究中心智库开放课题:“黑龙江省智能制造创新人才吸引力评价及提升对策研究”(ZKKF2022077，2023.06—2025.06)。

A study on the influential effect of digital technology on regional innovation performance from the perspective of innovation ecosystem

Wang Jing,Chen Jing,Li Shuyan   

  1. School of Economics and Management, Harbin University of Science and Technology, Harbin 150040, Heilongjiang, China
  • Received:2022-11-15 Revised:2023-10-28 Online:2024-05-20 Published:2024-05-07

摘要：    创新生态系统是加快形成区域高质量发展经济格局的重要支撑，加速释放的数字生产力为区域创新带来了巨大红利。基于2013—2019年的省级面板数据，使用多重中介模型、调节模型、门槛回归模型及空间模型，结合生态位理论和协同理论等，在创新生态系统视角下探究数字技术与区域创新绩效的关系，得出以下结论：（1）创新生态系统视角下数字技术能够显著提高区域创新绩效，且对技术子系统绩效的影响最大，其次是商业子系统和科学子系统。（2）数字技术影响区域创新绩效的路径中，各子系统的生态位适宜度和子系统间协同不仅存在并行中介作用，也存在链式中介作用。（3）技术子系统和商业子系统的生态位宽度能够正向调节数字技术和区域创新绩效的关系。（4）数字技术发展强化了创新极化的格局。本文拓展了数字技术驱动区域创新相关研究的理论视角，也为各区域通过数字技术塑造多维生态优势提供了参考与启示。

关键词: 数字技术, 区域创新生态系统, 生态位, 多重中介模型

Abstract:      The innovation ecosystem is an important support for accelerating the formation of a high-quality regional economic pattern, and the accelerated release of digital productivity has brought huge dividends to regional innovation. Based on the provincial panel data from 2013 to 2019, using the multiple mediation model, moderation model, threshold regression model, and spatial model, combined with the niche theory and synergy theory, this study explored the relationship between digital technology and regional innovation performance from the perspective of innovation ecosystem. The following conclusions are drawn from this study: (1) from the perspective of the innovation ecosystem, digital technology can significantly improve regional innovation performance, and has the greatest impact on the performance of the technology subsystem, followed by commercial and scientific subsystems; (2) in the path of digital technology affecting regional innovation performance, the niche suitability of each subsystem and the collaboration between subsystems not only have a parallel mediating effect, but also a chain mediating effect; (3) the niche breadth of technology and business subsystems can positively moderate the relationship between digital technology and regional innovation performance; and (4) the development of digital technology has strengthened the pattern of innovation polarization. Based on this, each region needs to attach importance to the linkage innovation between subsystems, and it is also necessary to establish a long-term innovation cooperation mechanism among regions in the digital context to enhance overall innovation from point to face. This paper has not only expanded the theoretical perspective of research on digital technology driven regional innovation, but also provided reference and inspiration for various regions to shape multidimensional ecological advantages through digital technology.

Key words: digital technology, regional innovation ecosystem, ecological niche, multiple mediation model