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.
{"references":["Adams J D, Black G C, Clemmons J R, et al. Scientific teams and institutional collaborations: Evidence from U.S. universities, 1981–1999[J]. Research Policy, 2005, 34(3):259-285.","Balconi M, Breschi S, Lissoni F. Networks of inventors and the role of academia: an exploration of Italian patent data [J]. Research Policy, 2004, 33(1):127-145.","Brown J S,Duguid P. Organizational Learning and Communities of Practice: Towards a Unified View of Working, Learning and Organization[J]. Organization Science, 1991,2(1):40-57.","Burt R S. V. Structure Holes: The Social Structure of Competition[M]. Harvard Business Press, 1992.","Chi Jiayu, Sun Wei, Liu Bo. Network Location, Technology Distance and Enterprise Cooperation Innovation—Based on the Research of Enterprise Patent Cooperation Data from 2003-2013[J]. Science and Technology Management Research,2015, 35(22):22-25."]}