This paper collects and collates the spatial panel data of scientific and technological innovation and economic development of universities in 31 provinces (cities) and autonomous regions from 2007 to 2016. Based on the evaluation of scientific and technological innovation capacity of universities in various provinces, ArcGIS is used to explore the spatial distribution characteristics of the two. The spatial panel model is used to estimate the impact of University Science and technology innovation on provincial economic development, and the spatial Doberman model with fixing time point effect is selected to decompose the spatial spillover effect of economic development of each variable. The results represent that: first, the agglomeration characteristics of University Science and technology innovation and regional economic development in geographical space are more concentrated; second, the improvement of the abilities of scientific and technological innovation in University and control variables has a significant positive impact on the level of regional economic development; third, after the spatial effect is resolved, according to the direction of direct, indirect and total effect, the numerical value and whether it passes the significance The results can be divided into three categories.