科研管理

科研管理 ›› 2025, Vol. 46 ›› Issue (7): 111-122.DOI: 10.19571/j.cnki.1000-2995.2025.07.011

• 论文 • 上一篇    下一篇

创新生态系统韧性的区域差异及影响因素研究

杨浩昌1，钟时权1，朱中伟2，李廉水3   

  1. 1.南昌大学经济管理学院，江西 南昌330031；
    2.中国矿业大学经济管理学院，江苏 徐州221116；
    3.南京信息工程大学中国制造业发展研究院，江苏 南京210044

  • 收稿日期:2023-11-09 修回日期:2025-03-04 出版日期:2025-07-20 发布日期:2025-07-14
  • 通讯作者: 杨浩昌
  • 基金资助:
    教育部人文社会科学研究项目：“数智融合驱动创新生态系统韧性提升的机制与路径研究”（24YJC790213，2024.09—2027.03）；国家自然科学基金项目：“产业协同集聚、绿色技术创新与能源绩效：效应评估及政策设计研究”（72004087，2021.01—2023.12）；国家自然科学基金项目：“融入数字经济的制造业智能化模式与路径研究”（72372121，2024.01—2027.12）；国家自然科学基金项目：“区域—体化背景下‘资本+技术’融合驱动产业转移、结构升级并引领经济高质量发展研究”（72163021，2022.01—2025.12）；江西省高校人文社会科学研究项目：“数智融合赋能我国创新生态系统韧性提升的机制与路径研究”（JJ24106，2024.12—2026.12）。

Research on regional differences and influencing factors of innovation ecosystem resilience

Yang Haochang1, Zhong Shiquan1, Zhu Zhongwei2, Li Lianshui3   

  1. 1. School of Economics & Management, Nanchang University, Nanchang 330031, Jiangxi, China; 
    2. School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China; 
    3. China Institute of Manufacturing Development, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China
  • Received:2023-11-09 Revised:2025-03-04 Online:2025-07-20 Published:2025-07-14

摘要：    百年未有之大变局加速演进，构建富有韧性的创新生态系统，已成为建设创新型国家的必由之路。本文基于缓冲性、多样性、流动性和进化性四个维度，构建创新生态系统韧性指标体系，创新性地采用纵横向拉开档次法和熵权法的组合评价方法进行动态测度及分析，运用Dagum基尼系数揭示创新生态系统韧性的区域差异及来源，并进一步采用空间杜宾模型从系统内外部环境层面探究影响创新生态系统韧性的关键因素及其空间溢出效应。结果显示：（1）创新生态系统韧性不断提升，呈现“东部强，中西部弱”的局面；分维度来看，缓冲性、流动性和进化性呈上升趋势，多样性变化较为稳定。（2）东部地区内部创新生态系统韧性差异较大，中西部区域间差异最小；创新生态系统韧性水平整体差异呈现扩大的趋势，其主要来源依次为区域间差异、区域内差异和超变密度。（3）智能化水平、产业多样化集聚和知识产权保护均显著提升了本地创新生态系统韧性水平，政府支持、城镇化均具有负向的空间溢出效应，外商投资对创新生态系统韧性的影响不显著。本文的研究结论为提升创新生态系统韧性，实现高水平科技自立自强提供了有益参考。

关键词: 创新生态系统韧性, 区域差异, 影响因素, Dagum基尼系数, 空间杜宾模型

Abstract:    The rapid evolution of profound changes unseen in a century and the construction of a resilient innovation ecosystem have become the only way to build an innovative country. Based on the four dimensions of buffering, diversity, liquidity and evolution, this paper constructed an indicator system for innovation ecosystem resilience. It innovatively employed a combined evaluation method of vertical and horizontal grading method and entropy weight method for a dynamic measurement and analysis. Additionally, the Dagum Gini coefficients were used to reveal regional differences and sources of innovation ecosystem resilience. Furthermore, the spatial Durbin model was adopted to explore the key factors affecting the resilience of innovation ecosystem and their spatial spillover effects from both internal and external environmental levels. The results showed that: (1) the resilience of the innovation ecosystem continues to improve, showing a situation of "strong in the east and weak in the central and western regions"; From the perspective of subdimension, buffering, mobility and evolution are on the rise, and diversity is relatively stable. (2) The resilience of innovation ecosystem in the eastern region is relatively different, and the difference between the central and western regions is the least. The overall difference of innovation ecosystem resilience shows an increasing trend, and the main sources are interregional difference, intra-regional difference and super-variable density. (3) Intelligence level, industrial diversification and intellectual property protection all significantly improve the resilience of local innovation ecosystem. Government support and urbanization all have negative spatial spillover effects, and foreign investment has no significant impact on the resilience of innovation ecosystem. The research conclusion of this paper will provide a useful reference for enhancing the resilience of the innovation ecosystem and achieving high-level technological self-reliance and strength.

Key words: innovation ecosystem resilience, regional difference, influencing factor, Dagum Gini coefficient, spatial Durbin model