摘要
采集2012-2014年22家物流行业上市公司的样本数据,利用数据包络分析(DEA)模型,运用DEAP2.1软件对物流行业连续3年的经营效率进行了分析,对模型结果从综合技术效率、纯技术效率以及规模效率三个维度进行了解析。研究结果表明,物流业在高速增长的背景下,综合技术效率迂回增长,纯技术效率较高,但规模效率并不理想,为此提出:适度调整规模以获取规模效益;加强成本控制,提高资源利用率;继续发挥信息技术优势,提升企业综合竞争力。
This paper collected sample data from 22 listed companies in the logistics industry during 2012 -2014, constructed data en- velopment analysis (DEA) model, combined the continuous DEAP2.1 software logistics industry techniques to analyze the effectiveness and validity of the scale of three years. The results show that in the context of the rapid growth of the logistics industry, comprehensive technical efficiency shows roundabout growth, pure technical efficiency is high, but scale efficiency is not ideal, so we proposed a mod- erate change of scale for scale efficiency, strengthening cost control, improving resource utilization, continuing to take the advantage of information technology to enhance the competitiveness of enterprises.
出处
《新余学院学报》
2017年第3期74-79,共6页
Journal of Xinyu University
关键词
DEA模型
物流上市公司
技术有效性
规模有效性
DEA model
logistics industry companies
technical effectiveness
scale effectiveness