基于DEA方法集的物流企业生产效率分析——以沪深股市上市公司为例  

Listed in Shanghai and Shenzhen Stock Market

作　　者：王舒鸿[1] 宋马林[2] 

机构地区：[1]南开大学经济学院数量经济研究所,天津300071 [2]安徽财经大学统计与应用数学学院,安徽蚌埠233030

出　　处：《物流技术》2010年第15期52-55,共4页Logistics Technology

基　　金：中国物流学会2009年研究课题"我国物流行业节能降耗实证研究"(2009CSLKT084);中华全国供销合作总社2008年度合作经济及相关领域研究课题"供销合作社发展涉农生产性服务业的实证研究"(GXZS0821ZC)

摘　　要：根据物流企业的职工人数、固定资产等经济数据,能够构建反映其生产效率的指标体系,然后运用集成数据包络分析进行效率分析,可以算出物流企业生产效率指标及其规模收益等状况。通过实证分析认为,中国物流企业的生产效率总体尚可,但个体差异较大;由于产出不足,造成许多企业规模收益递减;细化深化专业分工和改造现有业务流程,仍然是多数物流企业当前的紧迫任务。In view of the staff size, fixed assets and other economic data of logistics enterprises, the paper formulates an index system that can truthfully reflect their productivity and then, employing the integrated DEA toolkit, obtains the productivity indices of the enterprises and their returns to scale. On the basis of an empirical analysis, it is found that the productivity of Chinese logistics enterprises is generally satisfactory but the individual differences are rather great ; the returns to scale of many enterprises are on the decline due to underproduction; and further specialization of labor both in expanse and in depth and reengi-neering of existing business process are still the urgent tasks faced by logistics enterprises in the majority.

关 键 词：物流企业 生产效率 数据包络分析 

分 类 号：F224.0[经济管理—国民经济] F273