This paper innovatively studies whether the high housing prices have been pushed up by the development of sci-technological innovation ability. 310 samples of mixed panel databases are constructed by sci-technological innovation ability and housing price in 31 provinces of China from 2006 to 2017.The factor analysis method is used to revise the index system of sci-technological innovation ability. The Ward method is used to analyze regional heterogeneity. The multi-factor linear econometric model is used to empirically analyze the impact of sci-technological innovation ability on housing prices based on regional heterogeneity. Conclusions are drawn as follows:1) Nationwide, sci-technological innovation ability has significantly increased housing prices. The main reason is that the number of R&D people has significantly increased, while the output of sci-technological innovation ability and R&D funds have a little positive impact. 2) The transmission mechanism of R&D population has a positive impact on housing prices through direct effect and partial mediation effect. 3)Considering regional heterogeneity, the increase of R&D population in all provinces also has pushed up housing prices, and the undeveloped regions have greater effects on housing prices. 4) In the seven provinces with developed sci-technological innovation ability, R&D personnel have "aggregation effect" and other provinces have "spillover effect".