@Article{csse.2019.34.215,
AUTHOR = {Rui Hua, Yongwen Bao, Shengan Chen, Ziyin Zhuang},
TITLE = {Optimization of the Dynamic Measure of Spillover Effect Based on Knowledge Graph},
JOURNAL = {Computer Systems Science and Engineering},
VOLUME = {34},
YEAR = {2019},
NUMBER = {4},
PAGES = {215--223},
URL = {http://www.techscience.com/csse/v34n4/40043},
ISSN = {},
ABSTRACT = {This paper improves the dynamic Feder model based on the characteristics of knowledge production and separates the direct effect and spillover effect
of R&D in order to determine the relationship between spillover effect of R&D and economic growth, and accurately measure it by examining Chinese
provincial panel data from 2008–2016. The theoretical analysis shows that the spillover effect of R&D promotes economic growth. Empirical analysis using
a combination of OLS, sysGMM, 2SLS and GLS shows that basic research and application research have significant spillover effects; the marginal revenue
of the basic research is lower than that of the production sector, while the marginal revenue of the application research is higher than that of the production
sector; and knowledge stock does not significantly promote innovation in China. However, any study on the influence of knowledge stock on innovation
entails more than basic research.},
DOI = {10.32604/csse.2019.34.215}
}