Abstract: In order to analyze the impact mechanism of knowledge spillover on innovation quality, this paper uses threshold regression technology, taking the absorptive capacity as the threshold variable, and uses 2009-2016 China′s inter-provincial panel data of high-tech industry, to empirically explore the non-linear impact of inter provincial knowledge spillover on innovation quality, as well as the threshold effect and time-space change of knowledge absorptive capacity.The results show that: the provincial knowledge spillover of high-tech industry in China has a significant non-linear effect on innovation quality, and there is a double threshold effect with knowledge absorptive capacity as the threshold variable;with the improvement of the threshold of absorptive capacity, the promotion effect of inter-provincial knowledge spillover on innovation quality of high-tech industry is gradually enhanced; the spatial-temporal heterogeneity of absorptive capacity is obvious in all regions of China, and R&D personnel, financial deepening degree and enterprise scale have significantly positive impact on innovation quality of high-tech industry.By revealing the threshold effect of knowledge absorption capacity to improve the quality of innovation, it is suggested that all regions should focus on the cultivation, introduction and better performance of corresponding talents, build and improve the corresponding system, mechanism and environment.

Key words: high-tech industry, inter-provincial knowledge spillovers, innovation quality, absorptive capacity, non-linearity