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知识基础调节下合作网络对绿色技术创新的影响
引用本文:王崇锋,孙靖.知识基础调节下合作网络对绿色技术创新的影响[J].科技进步与对策,2021,38(2):38-46.
作者姓名:王崇锋  孙靖
作者单位:(青岛大学 商学院,山东 青岛 266000)
基金项目:山东省社科规划研究项目;国家社会科学基金项目;山东省自然科学基金项目;青岛市哲学社会科学规划项目;山东省社会科学基金项目
摘    要:绿色技术创新是绿色发展的重要动力,使用1985—2017年中国绿色技术专利数据,基于创新组织微观视角,运用负二项回归分析方法探究中心度、结构洞与聚集性3类合作网络特征对绿色技术创新的直接影响,以及知识广度、知识深度与知识融合性3类知识基础特征在上述影响中的调节作用。结果表明:①中心度与结构洞对绿色技术创新具有正向影响,聚集性对其具有负向影响;②知识广度削弱了中心度与结构洞的正向影响,同时削弱了聚集性的负向影响;知识深度强化了中心度与结构洞的正向影响,削弱了聚集性的负向影响;知识融合性在合作网络特征对不同类型绿色技术专利申请数的影响中具有不同的调节机制。最后,基于合作网络特征与知识基础特征优化视角,为我国企业、高校及科研院所等创新组织进行绿色技术创新提出相关政策建议。

关 键 词:合作网络  知识基础  绿色技术创新  绿色技术专利  
收稿时间:2019-11-08

Research on the Impact of Collaboration Network on Green Technology Innovation underthe Moderating Effect of KnowledgeBase
Wang Chongfeng,Sun Jing.Research on the Impact of Collaboration Network on Green Technology Innovation underthe Moderating Effect of KnowledgeBase[J].Science & Technology Progress and Policy,2021,38(2):38-46.
Authors:Wang Chongfeng  Sun Jing
Institution:(School of Business, Qingdao University, Qingdao 266000,China)
Abstract:Green technology innovation is an important driving force for green development.Using the patent data of green technology in China from 1985 to 2017, based on the micro-perspective of the innovation organizations, and applying negative binomial regression analysis method, this paper explores the direct influence of three types of collaboration network features such as degree centrality, structural holes and clustering coefficient on green technology innovation, and the moderating effect of three types of knowledge base features such as knowledge breadth, knowledge depth and knowledge convergence on above effects.The empirical results show that:①the degree centrality and structural holes of an organization have a positive impact on its green technology innovation, and the clustering coefficient has a negative impact on it;②the knowledge breadth weakens the positive influence of the degree centrality and structural holes, and weakens the negative influence of the clustering coefficient; the knowledge depth strengthens the positive influence of the degree centrality and structural holes, and weakens the negative influence of the clustering coefficient;the knowledge convergence has different moderating mechanisms in the influence of collaboration network features on different types of green technology patent applications.Finally, from the perspective based on the optimization of the collaboration network and knowledge base features, we put forward some policy recommendations for green technology innovation of firms, universities, scientific research institutions and other innovation organizations in China.
Keywords:Collaboration Network  Knowledge Base  Green Technology Innovation  Green Technology Patent  
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