Using Panel Vector Autoregression (PVAR) and Super - Efficiency SBM models, this study analyzes the dynamic rela? tionship between science and technology inputs and outputs at 30 research universities and 53 non - research universities from 2007 to 2017. The study employs the PVAR model to examine these dynamics and the Super - Efficiency SBM model to evaluate input - output efficiency. Findings indicate that monetary capital inputs positively affect outputs at both types of universities, though the impact is not sustained over time. The greatest promotional effects on technological outputs occur with a lag of one and two years, respectively, and are significant only in the short term. Efficiency analysis, incorporating lagged measures of technology inputs and outputs, reveals that overall university science and technology input - output efficiency is low, with research universities performing significantly better than non - research universities. This research offers new perspectives for understanding the patterns of university science and technology in? puts and outputs and for enhancing efficiency.