世界科技研究与发展 ›› 2026, Vol. 48 ›› Issue (1): 115-126.doi: 10.16507/j.issn.1006-6055.2025.10.001 cstr: 32308.14.1006-6055.2025.10.001

• 科技管理与政策 • 上一篇    

技术创新网络视角下新能源汽车产业链协同优化研究

季小妹1,2 孙侥池1,3 朱世伟1,3 陈原明慧1,3   

  1. 1.齐鲁工业大学(山东省科学院);2.山东省科学院高新技术产业(中试)基地(山东省科学院留学人员创业园);3.山东省科学院情报研究所
  • 发布日期:2026-02-28
  • 基金资助:
    2025年度学校科教产融合试点工程社科专项(2025XKY13)

Collaborative Optimization of the New Energy Vehicle Industry Chain: A Technological Innovation Network Perspective

JI Xiaomei1,2 SUN Jiaochi1,3 ZHU Shiwei1,3 CHEN Yuanminghui1,3   

  1. 1.Qilu University of Technology (Shandong Academy of Sciences); 2.Science and Technology Service Platform of SDAS (Pioneer Park for Overseas Students of SDAS)a; 3.Information Research Institute of Shandong Academy of Sciences
  • Published:2026-02-28

摘要: 产业链技术创新网络结构分散、产业链上下游协同效能不足等瓶颈问题,制约了我国新能源汽车产业整体竞争力的提升。本文从技术创新网络视角出发,系统探讨新能源汽车产业链的协同优化机制与实现路径。首先,运用社会网络分析方法测度专利合作网络的结构指标,掌握技术创新网络演化特征;其次,借助耦合协调度模型评估技术创新与产业发展之间的协同水平;进一步引入障碍度模型识别主要制约因素,并采用Tobit回归模型探讨其影响机制。研究发现:山东省新能源汽车产业链层间耦合协调度呈“高位—下滑—波动”趋势,技术创新与产业发展协同程度持续提升,2021年后“拐点效应”显著释放,逐步形成良性互动机制;障碍度重心由“数量型”向“质量型”指标转移,基础设施与市场需求类障碍成为主要瓶颈;Tobit回归结果进一步验证了创新能力、供应压力与市场需求对产业链协同发展的关键影响作用。

关键词: 技术创新网络;产业链分析;协同优化;耦合协调度模型;新能源汽车

Abstract: Bottleneck issues such as the decentralized structure of the technological innovation network in the industrial chain and insufficient collaborative efficiency between upstream and downstream segments of the industrial chain have constrained the overall competitiveness of China’s new energy vehicle industry. This paper, from the perspective of technological innovation networks, systematically explores the collaborative optimization mechanisms and implementation paths of the new energy vehicle industrial chain. First, social network analysis methods are employed to measure the structural indicators of the patent cooperation network, in order to understand the evolutionary characteristics of the technological innovation network; secondly, a coupling coordination degree model is used to evaluate the level of synergy between technological innovation and industrial development; furthermore, an obstacle degree model is introduced to identify major limiting factors, and a Tobit regression model is applied to explore their impact mechanisms. The study finds that: the inter-level coupling coordination degree of the new energy vehicle industrial chain in Shandong Province shows a “high-decline-fluctuation” trend, with the degree of synergy between technological innovation and industrial development continuously improving. After 2021, the “inflection point effect” is significantly released, gradually forming a virtuous interactive mechanism; the focus of obstacles shifts from “quantitative” to “qualitative” indicators, with infrastructure and market demand obstacles becoming the main bottlenecks; Tobit regression results further confirm the critical impact of innovation capability, supply pressure, and market demand on the collaborative development of the industrial chain.

Key words: Technological Innovation Network; Industrial Chain Analysis; Collaborative Optimization; Coupling Coordination Model; New Energy Vehicles