Abstract: 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 R&D investment, non R&D 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.