基于DEA-Malmquist指数的我国中部地区物流效率分析  

Analysis of Logistics Efficiency in Central China Based on DEA-Malmquist Index

作　　者：陈祥兵[1] 程龙[1] CHEN Xiangbing;CHENG Long(School of Management,Wuhan University of Science and Technology,Wuhan 430065,China)

机构地区：[1]武汉科技大学管理学院,湖北武汉430065

出　　处：《物流科技》2024年第19期17-20,共4页Logistics Sci Tech

基　　金：湖北省教育厅哲学社会科学研究项目重点项目“湖北区域电子商务产业发展现状与创新发展路径研究:基于数字经济背景下产业融合的视角”(20D022)。

摘　　要：以2012—2021年我国中部地区(山西、河南、安徽、湖北、江西、湖南)六省的物流行业相关面板数据为对象构建评价指标体系,运用DEA-Malmquist指数模型,分别对其进行静态分析以及动态分析,进而得出相关结论,并由此给出提高物流效率的可行性建议。结果表明:2012—2021年间中部地区的物流效率一直未达到有效,且技术是中部各省物流效率的主要问题,同时生产率也略微退步,针对这些问题,中部地区需要加强区域协同作用以及推动物流技术的进步,也需要探索创新人才培养制度,吸引高技术人才。Based on the panel data related to the logistics industry in six provinces of central China(Shanxi,Henan,Anhui,Hubei,Jiangxi,Hunan)from 2012 to 2021,this paper constructs an evaluation index system,uses DEA-Malmquist index model to conduct static analysis and dynamic analysis on them,and then draws relevant conclusions,and gives feasible suggestions to improve logistics efficiency.The results indicate that the logistics efficiency in the central region has not been effective from 2012 to 2021,and technology is the main issue of logistics efficiency in the central provinces.At the same time,productivity has also slightly declined.In response to these problems,the central region needs to strengthen regional synergy and promote the progress of logistics technology,as well as explore innovative talent cultivation systems to attract high-tech talents.

关 键 词：DEA模型 MALMQUIST指数 中部地区 物流效率 

分 类 号：F127[经济管理—世界经济]