Dynamic Relationship Between Scientific and Technological Input and Output and Its Efficiency Evolution in Universities
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.
university science and technology input and outputPVAR modelsuper-efficiency SBM modeldynamic evolution
万方数据
维普
