Robust Influence Factors Of R&D Intensity In China

With the rapid economic growth, R & D intensity issue has become the focus of the government. In the process of examining the R&D intensity of each region in China, some of the issues worth considering:whether there is any regional differences about the influential factors of R&D intensity. From soundness test of each region using different factors as the research object, figure out which is the common factor, which is the personality factor, which is a contributing factor, which is impeding factor.According to the theory of spatial econometrics, this paper aims to test the robustness of the influence factors of R&D intensity distribution in eastern, western and middle of China by using the panel data of 30 provincial regions (except Tibet) in China from 2002-2012 through the robust MM estimator model of EBA (outlier test of extreme boundary analysis). The outcome shows that there are significant differences in R&D intensity among the three regions in China. Moreover, the differences in the influence factors of R&D intensity’s robustness are also significant. There are three main findings of this paper. First, the R&D intensity is relatively high in eastern China. This paper finds out that technology level, market size, fix assets investment and endowments are interference-free robustness influence factors of R&D intensity. Second, the R&D intensity is medium in middle of China. The result indicates that government public policy, technology level and endowments are robustness in increasing R&D intensity. Third, the R&D intensity is relatively low in western China. The two robustness influence factors are technological innovation and endowments.Based on the empirical analysis, there are several recommendations for improving R&D intensity in each region. First, adjust the structure system and intensity of financial technology investment. Second, improve and strengthen the intellectual property legislation and enhance the level of IPR enforcement. Third, transform the economic growth mode from extensive development to technological innovation development. Fourth, increase fixed investment on the platform of university-industry collaboration and provide a good basis for R&D equipment. Fifth, by means of technology innovation, propel sustainable economic growth. Last, create relaxed recruiting policy to introduce talents, focusing on building a platform to introduce high-tech talent. Thus, provide empirical evidence and decision-making advises for government in each region to formulate technology objects and implementation.