基于三阶段DEA模型的专精特新“小巨人”企业创新效率评价  

Research on Evaluation of Innovation Efficiency of SRDI Little Giant Enterprises Based on Three⁃Stage DEA

作　　者：刘松先[1] 康灵鹭 何利 LIU Songxian;KANG Linglu;HE Li(School of Economics and Management,Xiamen University of Technology,Xiamen 361024,China)

机构地区：[1]厦门理工学院经济与管理学院,福建厦门361024

出　　处：《厦门理工学院学报》2024年第4期39-45,共7页Journal of Xiamen University of Technology

基　　金：福建省软科学项目“福建战略性新兴产业创新生态系统建设研究”(2019R0094);厦门理工学院研究生创新计划项目“基于深度强化学习的数字化装配企业生产调度优化模型研究”(YKJCX2023002)。

摘　　要：运用三阶段数据包络分析法(DEA),考虑外部环境因素和随机误差的影响,采用规模报酬可变的假设,选用DEA-BCC(banker-charnes-cooper)作为计算模型,对我国196家专精特新“小巨人”A股上市企业进行创新效率评价。研究发现,目前大部分企业创新效率较低,处于创新滞后型,但不同类型企业间表现出明显的差异;政府补助、产业集中度以及企业年龄等因素均会对专精特新“小巨人”企业的创新效率产生显著影响。为进一步提升专精特新企业的创新效率和创新能力,建议政府合理配置相应补助,积极培育创新链和产业链,打造产业创新聚集地;企业不断优化研发、人力等资源,完善创新生态系统。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.

关 键 词：专精特新“小巨人”企业 创新效率 三阶段数据包络法(DEA) 

分 类 号：F273[经济管理—企业管理] F224.9[经济管理—国民经济]