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| Research on the Impact of Collaboration Network on Green Technology Innovation under the Moderating Effect of Knowledge Base |
| Wang Chongfeng,Sun Jing |
| （School of Business, Qingdao University, Qingdao 266000,China） |
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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.
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Received: 08 November 2019
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