管理评论 ›› 2026, Vol. 38 ›› Issue (6): 90-101.

• 创新与创业管理 • 上一篇    

网络社群演化与企业绿色创新

李飞, 陈琳, 赵龙峰, 武美君   

  1. 西北工业大学管理学院, 西安 710072
  • 收稿日期:2024-08-01 发布日期:2026-07-08
  • 作者简介:李飞,西北工业大学管理学院博士研究生;陈琳,西北工业大学管理学院教授,博士生导师,博士;赵龙峰(通讯作者),西北工业大学管理学院副教授,硕士生导师,博士;武美君,西北工业大学管理学院博士研究生。
  • 基金资助:
    国家自然科学基金项目(72471195);陕西省软科学研究计划项目(2025KG-YBXM-003);陕西省社会科学基金项目(2022R016;2022R024)。

Network Community Evolution and Corporate Green Innovation

Li Fei, Chen Lin, Zhao Longfeng, Wu Meijun   

  1. School of Management, Northwestern Polytechnical University, Xi'an 710072
  • Received:2024-08-01 Published:2026-07-08

摘要: 网络社群作为社会网络的重要结构特征,其成员结构变化对网络资源访问和获取有重大影响。本文基于社会网络理论和知识基础观,以中国A股上市公司为样本,构建董事网络,通过识别社群结构,建立社群演化的代理变量,并划分社群演化不同阶段,实证检验了网络社群演化对企业绿色创新的影响。研究发现:社群演化能够显著促进企业绿色创新,而相较于生长阶段和稳定阶段,处于衰退阶段的社群演化对企业绿色创新的促进效应更显著。机制检验结果表明,知识异质性是社群演化影响企业绿色创新的潜在作用机制。进一步研究表明,新社群成员加入和现有成员退出都会对企业绿色创新产生正向影响。此外,当社群规模较小或密度较大时,社群演化对企业绿色创新的促进作用更为显著。本文不仅丰富了网络中观视角下社会网络和企业绿色创新相关研究,还为促进知识共享,实现绿色创新“增量提质”提供了管理启示。

关键词: 社群演化, 绿色创新, 知识异质性, 董事网络

Abstract: Network community is an important structural feature of social networks, and the changes in its members and structure have a significant impact on the access and acquisition of network resources. Based on social network theory and the knowledge-based view, we use Chinese A-share listed companies as samples to construct director networks at the corporate level and detect community structure. Then, we establish proxy variables for community evolution, divide different stages of community evolution, and empirically examine the impact of community evolution on green innovation. The results indicate that community evolution can significantly promote corporate green innovation, and the promoting effect of community evolution on green innovation is more significant during the decline stage than during the growth and stability stages,. The mechanism test finds that knowledge heterogeneity is a potential mediating mechanism between community evolution and green innovation. Further research shows that both the entry of new members and the exit of existing members have a positive impact on green innovation. Additionally, the promoting effect of community evolution on green innovation is more significant when the network community has a small size and a high density. This study not only enriches the research on social networks and green innovation from the meso-level network community perspective but also provides management insights for promoting knowledge sharing, collaborative innovation, and enhancing the quality and quantity of green innovation.

Key words: community evolution, green innovation, knowledge heterogeneity, director network