采用两阶段超效率SBM-DEA模型的创新型省份创新效率评价  

Evaluation of Innovation Efficiency of Innovative Provinces Using Two-Stage Super-Efficiency SBM-DEA Model

作　　者：严圣艳[1] 侯伶 YAN Shengyan;HOU Ling(School of Economics and Finance,Huaqiao University,Quanzhou 362021,China)

机构地区：[1]华侨大学经济与金融学院,福建泉州362021

出　　处：《华侨大学学报(自然科学版)》2025年第2期230-236,共7页Journal of Huaqiao University(Natural Science)

基　　金：福建省社科规划重点项目(FJ2022A012);福建省创新战略研究项目(2020R0057);华侨大学高层次人才科研启动项目(21SKBS011)。

摘　　要：采用两阶段超效率SBM-DEA模型,对10个主要创新型省份2015-2022年的创新效率进行测度,借助Malmquist指数法和耦合协调度模型分析各省创新效率的动态趋势和两阶段创新效率的协调性。根据两阶段效率特征和分布特点,探讨各类省份的效率增长路径。结果表明:广东省、江苏省和福建省的两阶段创新效率和整体创新效率均达到DEA有效;多数创新型省份的商业转化阶段创新效率高于技术研发阶段创新效率,但各创新型省份商业转化阶段的TFP低于技术研发阶段的TFP;各创新型省份两阶段发展协调性总体较差,多数省份效率提升路径偏向于技术研发效率增长。Using a two-stage super-efficiency SBM-DEA model,the innovation efficiency of ten major innovative provinces from 2015 to 2022 is measured,the Malmquist index method and coupling coordination degree model are used to analyze the dynamic trend of innovation efficiency and the coordination of two-stage innovation efficiency in each province,and to explore the efficiency growth paths of various provinces based on two-stage efficiency characteristics and distribution characteristics.The results show that Guangdong Province,Jiangsu Province and Fujian Province had achieved DEA efficiency in both two stage innovation efficiency and overall innovation efficiency,the innovation efficiency in the commercial transformation stage of most innovative provinces was higher than that in the technology research and development stage,but the TFP in the commercial transformation stage of each innovative province was lower than that in the technology research and development stage,the overall development coordination of the two-stage of each innovative province was relatively poor,and the efficiency improvement paths of most provinces tended to focus on the increase of technology research and development efficiency.

关 键 词：创新型省份 创新效率 两阶段超效率SBM-DEA模型 MALMQUIST指数 

分 类 号：F124.3[经济管理—世界经济]