An empirical investigation on the relationship between co-patent network, structure embeddedness and innovation output

Based on social network theory, the article takes the co-patent network of China's mobile phone industry from 2003 to 2017 as the research object. Poisson regression model is used to investigate the impact of network structure embeddedness on innovation output. The empirical research results show that, (1) there exists optimal cooperation size for firms in the co-patent network, that is, moderate degree centrality may mean higher innovation output; (2) occupying more structural hole positions in the co-patent network may increase firms' innovation output; and (3) higher clustering coefficients significantly reduce firms' innovation output