TE (TE) can potentially enhance the economic output of technological innovation, and thus promote sustainable economic growth (SEG). However, the TE-SEG relationship has been mainly analyzed subjectively through empirical analysis. This paper puts forward a novel strategy that automatically predict and validate the promoting effect of TE on SEG. Firstly, a multi-level analytical model of TE was constructed to automatically select the optimal sample subset from the original data, and eliminate noise and redundant data. Next, a multivariate linear regression model was adopted to analyze the TG-SEG relationship intelligently and intuitively. Finally, the proposed strategy was verified through experiments on the SEG data collected from 31 Chinese cities. The experimental results confirm that our strategy can effectively and reliably reflect the promoting effect of TE on SEG.

No abstract