中文摘要：

针对新常态下中国工业技术创新资源配置的现状,基于价值链视角,文章从研发投入、非研发投入、科技成果产出、产业成果产出四个方面构建工业技术创新资源配置评价指标体系,以2011-2014年中国30个省级地区的工业面板数据为样本,运用最大熵投影寻踪耦合模型、泰尔指数和探索性空间数据分析法,对工业技术创新资源配置的地区差异、差异成因以及时空格局变化进行实证研究。结果表明,一方面,我国工业技术创新资源配置持续呈现出一种东高西低的非均衡态势,区域内和区域间差异对总差异的影响程度大致相当,东部地区内部差异尤为突出;另一方面,我国工业技术创新资源配置整体上表现为正的空间自相关,即配置高的地区相邻,配置低的地区相邻,但相关性具有增强-减弱-增强的阶段特征,整体高值集聚性逐渐增强,省际工业技术创新资源配置存在不同的集聚模式,局部地区的集聚状态发生时空格局演变,但总体空间分布格局随着时间推移并没有发生根本性变化。

英文摘要：

According to the status of China＇s industrial technology innovation resource allocation under the new normal,this article constructs evaluation index system from four aspects based on the perspective of value chain,including the RD investment,non RD investment,output of scientific and technological achievements and output of industrial achievements. Using the projection pursuit model coupled with maximum entropy,Theil index and exploratory spatial data analysis method,it conducts an empirical study about the regional difference,cause of difference and temporal and spatial pattern change based on the industrial panel data of 30 provincial regions of China in 2011-2014. The results show that,on the one hand,China＇s industrial technology innovation resource allocation continued to present an unbalanced situation——East High and West low,the differences inside one region and between regions influence the total roughly and the difference in eastern region plays a particularly prominent role among the above differences; on the other hand,China＇s industrial technology innovation resource allocation performs as the positive spatial autocorrelation in general,but the correlation has the stage characteristics of weakness-enhancement-weakness and the whole high value clustering increases gradually over time;the provincial industrial technology innovation resource allocation has different clustering models,the clustering state in local area exists spatial-temporal evolution,but the overall spatial distribution pattern has not fundamentally changed over time.