Abstract:On the basis of measuring the innovation elements agglomeration level and innovation performance of China's 30 provinces in the past 10 years, the "innovation elements agglomeration-innovation performance" fitting model is constructed. Based on the analysis of Q-type clustering method, it is confirmed that there are thresholds for different types of regional spillover effects. Using MATLAB to curve the relevant data, we can get the optimal agglomeration level of innovation elements agglomeration effect on innovation performance. The results show that China's regional innovation elements agglomeration has formed a multi-level distribution pattern, and the level of agglomeration between regions is relatively large. The spillover effect of the innovation elements agglomeration on regional innovation performance is not monotonously increasing or decreasing, but rather showing an inverted “U” trend. The effect indicates that the agglomeration level can only effectively exert the agglomeration effect under the moderate threshold. Under different levels of agglomeration, there is a difference in the threshold of the spillover effect of innovation elements agglomeration on innovation performance. When the level of innovation elements agglomeration reaches the threshold, the innovation performance reaches the maximum, and the optimal agglomeration level is reached at this time.