Abstract: 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.

摘要： 研发补贴的空间差距过大不利于产业转型升级。对此，本文利用2003-2015年中国高技术产业省际面板数据，以“研发补贴强度”为考察指标，采用ArcGIS技术对中国高技术产业研发补贴强度进行了空间格局分析，同时结合使用Dagum基尼系数分解法及Kernel密度非参数估计法，系统地考察了中国高技术产业研发补贴强度的地区差异及其动态演进过程。得到以下几点结论：（1）ArcGIS可视化分析表明，中国高技术产业研发补贴强度呈现出空间非均衡特征；（2）Dagum基尼系数测算及其子群分解表明，全国整体基尼系数呈上升态势，地区差距在逐步扩大，地区间差距是导致中国高技术产业研发补贴强度地区差异的主要来源；（3）Kernel密度估计表明，中国高技术产业研发补贴强度略有增加，研发补贴强度的地区差异经历了“缩小-扩大-再缩小”的演进阶段，且存在多极化现象。