The dynamic DEA assessment of the intertemporal efficiency and optimal quantity of patent for China’s high-tech industry

This study uses the dynamic data envelopment analysis (DEA) model to evaluate intertemporalefficiency for high-tech industries in China. The significant difference from previous studies isthe assumption for patents, which are defined to be a carry-over intermediate linking differentterms. The model further provides an indicator of adjustment ratio for patents, based on theassessment of optimal quantity of patents. Output and input inefficiency indicators are alsodeveloped in the model to explore the sources of operational inefficiency. The empiricalresults conclude that intertemporal efficiency trends upward over time; the quantity ofpatents is assessed to be in shortage during the early terms, but excessive in recent terms;and that deficits in financial output is a significant factor in creating inefficiency.