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中国新能源汽车产业合作网络演化特征和动因研究

袁源 郭进利 郭曌华

科学与管理2025,Vol.45Issue(2):31-39,9.
科学与管理2025,Vol.45Issue(2):31-39,9.DOI:10.3969/j.issn.1003-8256.2025.02.005

中国新能源汽车产业合作网络演化特征和动因研究

Research on the Evolution Characteristics and Driving Forces of China's New Energy Vehicle Industry Cooperation Network

袁源 1郭进利 2郭曌华3

作者信息

  • 1. 上海理工大学 管理学院,上海 200093
  • 2. 上海理工大学 管理学院,上海 200093||延安大学西安创新学院,陕西 西安 710100
  • 3. 上海交通大学 船舶海洋与建筑工程学院,上海 200240
  • 折叠

摘要

Abstract

Based on the cooperation patents applied for and granted in the new energy vehicle industry from 2012 to 2021,this study constructs a network of collaborative innovation among enterprises,universities,and research institutions.Complex network methods were employed for network characteristic analysis.The analysis reveals a rapid growth in technological cooperation and innovation among industry organizations,with the State Grid Corporation of China significantly strengthening its leading position in the cooperation network.The predominant mode of cooperation is found to be inter-enterprise collaboration,followed by collaboration between enterprises and research institutions.An empirical analysis of the network's formation was conducted using the Exponential Random Graph Model(ERGM),focusing on the internal structure and external node attributes.The results indicate that convergent collaboration and diffusion effects positively impact the network's formation,and the influence of degree centrality increases over time.The impact of applicant attributes is relatively weak,but early participants gain an advantage in long-term cooperation by establishing trust relationships.Additionally,geographical and social proximity play a significant role in enhancing cooperation efficiency and reducing innovation risks.

关键词

新能源汽车/复杂网络/合作创新/指数随机图模型

Key words

new energy vehicle/complex network/collaborative innovation/exponential random graph model

分类

社会科学

引用本文复制引用

袁源,郭进利,郭曌华..中国新能源汽车产业合作网络演化特征和动因研究[J].科学与管理,2025,45(2):31-39,9.

基金项目

国家自然科学基金(71571119),国家自然科学基金青年基金项目(71801139) (71571119)

科学与管理

1003-8256

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