基于超效率CCR-DEA模型的我国物流上市公司效率评价  

Evaluating the Efficiency of China Listed Logistics Companies Based on SUP-CCR-DEA

作　　者：汪旭晖[1] 徐健[2] 

机构地区：[1]东北财经大学工商管理学院,辽宁大连116025 [2]东北财经大学信息工程学院,辽宁大连116025

出　　处：《财贸研究》2009年第6期117-124,共8页Finance and Trade Research

基　　金：国家社会科学基金项目"基于自主创新的现代流通服务业发展研究"(批准号:08BJY118);教育部人文社会科学研究项目"流通企业物流绩效评价研究"(项目号:07JC630065);教育部新世纪优秀人才支持计划(项目号:NCET-08-0862);辽宁省高等学校优秀人才支持计划(项目号:2008RC17)

摘　　要：超效率CCR-DEA模型解决了传统DEA评价无法对有效率单元(效率值1)再排序的弊端,可以对技术效率达到有效前沿面的物流企业进行进一步评价。运用超效率CCR-DEA模型对我国24家物流上市公司的效率进行评价,研究表明:我国物流上市公司技术效率高的企业约占50%,与港口类物流上市公司相比,运输类物流上市公司的技术效率、纯技术效率、规模效率值更高;对于技术无效的公司,其技术效率低下的主要原因在于纯技术效率的低下;在技术有效的公司中,中海海盛的超效率值在2006年、2007年都居于首位,其余公司两年的超效率排名多呈现一定变化;物流上市公司效率受区域经济因素影响,经济发达地区物流上市公司超效率更高。SUP-CCR-DEA has solved the problem that traditional DEA method could not differentiate the logistics companies since they have the efficiency 1. SUP-CCR-DEA model which is used to evaluate ef- ficiency of 24 listed logistics companies in China. Study show that almost 50 percent of listed logistics com- panies have high technical efficiency. Comparing with port listed companies, transportation listed companies have much higher technical efficiency, pure technical efficiency and scale efficiency. The main reason which caused technical inefficiency of listed logistics companies is low pure technical efficiency instead of low scale efficiency. Among all the companies that had technical efficiency 1, super efficiency of China shipping Haisheng ranked the first in 2006 and 2007, while the other companies＇ super efficiency ranks changed within two years. Regional economy factors influenced the efficiency of China listed logistics com- parties, and companies in developed areas usually had higher super efficiency.

关 键 词：物流上市公司 超效率CCR-DEA 技术效率 

分 类 号：F252.5[经济管理—国民经济]