摘要
运用Super-EBM-DEA模型和全局Malmquist指数模型对2013-2017年国内74家物流类上市公司的运营效率进行静态和动态分析。静态和动态的效率分析均是从整体、细分行业及划分区域三个角度进行。研究结果显示:物流类上市公司静态效率较稳定,但不同行业、区域之间差距明显。Malmquist生产率指数整体呈进步趋势但部分年份稍有退步,且主要由技术退步导致,生产率指数进步的行业和区域要少于退步的行业和区域。
Super-EBM-DEA model and Global Malmquist Index model are used to analyze the static and dynamic efficiency of the 74 domestic logistics listed companies in 2013-2017.Both static and dynamic efficiency analysis are carried out from three perspectives:the whole,the subdivided industry and the divided regions.The research results show that the static efficiency of logistics listed companies is relatively stable,but the gap between different industries and regions is obvious.The Malmquist productivity index shows an overall improving trend,but in some years are slightly backward,which is mainly caused by technological regression.And industries and regions with improved productivity indices are less than industries and regions that are regressing.
作者
吴妍
WU Yan(School of Management Science and Engineering,Anhui University of Finance and Economics,Bengbu 233030,China)
出处
《价值工程》
2020年第10期87-91,共5页
Value Engineering
基金
2019年度安徽财经大学研究生科研创新基金《基于Super-EBM-DEA及全局Malmquist的物流产业效率研究》(项目编号:ACYC2019208)。
