Abstract: Based on the coupling model of industry-university-research coupling degree, principal component analysis and panel threshold regression model, using the panel data of various provinces and cities in China in 2012-2016 to study the input of scientific and technological human resources to regional innovation performance impact when the coupling of production, education and research as the threshold variable.The empirical results show that when the coupling degree of production, study and research is used as the threshold variable, the input of scientific and technological human resources in enterprises and universities and research institutes will have obvious double threshold effect between the three periods of regional innovation performance; when the coupling degree is higher than 0.7324, investing in scientific and technological human resources in enterprises will have a significant positive impact on regional innovation performance. When the degree is lower than 0.7324,it will have a relatively weak positive impact . When the degree of coupling is higher than 0.6120, investing in scientific and technological human resources in research institutes and universities will have a significant positive impact on regional innovation performance. When the degree is lower than 0.6120, it will have a relatively weak positive impact ; and when the degree is higher than 0.6120, the investment in scientific and technological human resources in universities and research institutes will have a greater impact on regional innovation performance than in the enterprise.