Abstract
Using panel data from 30 Chinese provinces for the period between 2003 and 2017, this paper explores the relationship between the aging and technological innovation. The global principal components analysis is used to construct the index system of technology innovation from three aspects: innovation input, innovation output and innovation diffusion. Then, the inverted U-shape relationship between population aging and technological innovation is obtained from the dynamic perspective by using two-step system generalized method of moments （ SYS-GMM ） .The influence of population aging on technological innovation is firstly promoted and then suppressed. In addition, the degree of opening up, the level of economic development, the construction of network infrastructure and human capital all have positive impact on technological innovation.
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.
