Abstract
ABSTRACT In order to clarify which types of research is more conducive to improving innovation performance, we use the panel data of key universities in China from 2009 to 2017 for empirical research. The results show that basic research intensity is significantly positive correlated with innovation performance, while paper influence, patent novelty plus the interaction between paper influence and patent novelty are all playing a mediating role between basic research intensity and innovation performance. Furthermore, we use applied research intensity, experimental development intensity and provincial panel data for variables substitution and sample subdivision to carry out robustness test, clarifying the functional mechanism and the heterogeneity of boundary conditions between different types of research intensity and innovation performance. Relevant conclusions are of great theoretical and practical value for optimising the allocation of S&T resources and enriching the theoretical system of innovation research.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
