中文摘要：

在对物流产业效率进行研究的文献中,数据包络分析法是一种常见的方法,来自中国知网期刊数据库和美国科学网核心合集数据库2006—2015年的62篇论文显示,2009年后对中国物流业效率研究的文献迅速增加,早期论文的被引频次较高;文献的主要研究内容包括物流业内部效率以及物流业与经济之间的关系。在研究方法方面,以传统的数据包络分析模型为主,一些文献对基本模型进行了拓展,部分文献将数据包络分析法与其他方法结合起来应用。通过对相关文献的梳理,可以发现在研究方法、模型运用、变量选取、影响因素、资料来源、区域选择、时间跨度等方面存在着相应的研究空白,未来的研究可以从相关环节进行突破。

英文摘要：

Data envelopment analysis （DEA） is a well-known and effective method for carrying out analysis on the efficiency of logistics industry. The authors conduct a literature review on recent research that has applied the DEA to assess and analyze the logistics industry in China. By searching the databases of CNKI and Web of Science, the authors examine 62 articles from the following dimensions： bibliometric, research content, DEA models and interfaces with other techniques, decision making units （DMUs） and input/output indices. It is found that, there are increasingly more literature focused on the efficiency of logistics industry. And, in terms of research method, the application of model, the choose of variables, the influencing factors, the sources of materials, the choose of region and time span, there are some gaps needed by be filled in by further research.