The financial gap between the financial subsidies too large will be conducive to indust- rial restructuring and upgrading. This paper uses the inter-provincial panel data of China's high- tech industry from 2003 to 2015, taking “financial subsidy strength” as the index, Using ArcGIS technology to China's high-tech industry financial subsidies for the spatial pattern of analysis, at the same time, combined with Dagum Gini coefficient decomposition method and Kernel density nonparametric estimation method, systematically examined the regional differences and dynamic evolution of the financial subsidy intensity of China's high-tech industry. Get the following concl- usions: (1) ArcGIS visualization analysis shows that the financial subsidy intensity of China's high -tech industry presents spatial non-equilibrium characteristics; (2) The Dagum Gini coefficient and its subgroups show that the Gini coefficient is increasing and the regional gap is gradually expand- ing, the regional disparity is the main source of regional differences in the financial subsidy intens-ity of China's high-tech industry;(3) The estimation of Kernel density shows that the financial subsidy intensity of China's high-tech industry is slightly increased, and the regional difference of financial subsidy intensity has undergone the evolutionary stage of “shrinking, widening and renarrowing”, there are multipolar phenomena.
$author.xingMing_EN. The study on the space-time differentiation of high-tech industry R&D subsidies in China—Based on Dagum Gini coefficient decomposition and Kernel density nonparametric estimation[J]. Studies in Science of Science, 2018, 36(3): 435-445.