Using three-stage data enveloping analysis(DEA),considering the influence of external environmental factors as well as random errors,and taking the assumption of variable returns to scale and DEA-BCC(banker-charnes-cooper)as the calculation model,this paper evaluates the innovation efficiency of 196 SRDI(specialized,refined,differential and innovative)little giant enterprises listed on China's A-share market.The results show that most of these businesses have low innovation efficiency in a lagging state,and there are obvious differences among different types of them.Factors such as government subsidies,industrial concentration,and firm age all have a significant impact on the innovation efficiency of them.To enhance their innovation efficiency and ability,it is suggested that government should rationally allocate corresponding subsidies,earnestly cultivate the innovation chain and industrial chain,and build effective industrial innovation assembly places,whereas businesses should keep optimizing R&D and human resources to keep improving the innovation ecosystem.
SRDI little giant enterprisesinnovation efficiencythree-stage DEA
万方数据
