基于DEA和Malmquist法的物流企业效率评价研究
发布时间:2018-04-25 17:50
本文选题:物流企业 + DEA ; 参考:《天津理工大学》2014年硕士论文
【摘要】:物流业作为服务业的重要组成部分,不仅是落实扩大内需经济发展战略的重点,也是促进国民经济发展、产业结构优化升级的重要领域。近年来,物流业在国民经济和社会发展中的重要性日益凸显,但我国物流企业的效率还不高,经营成本居高不下,阻碍了其对我国经济发展的支持作用。因此,进一步提高物流企业的效率就显得尤为迫切。 本文的研究对象是物流企业的效率评价,首先,,本文基于国内外现有的研究成果,结合物流企业自身特征,建立起物流企业的投入产出效率评价体系,紧接着筛选出17家沪深上市企业(包括8家港口类企业和9家运输仓储类企业)为研究样本,选取2005-2011年17家上市物流企业的固定资产、职工工资、主营业务成本作为投入变量,主营业务收入和利润总额为产出变量,对各个物流上市企业在各个年份的投入-产出变量进行了描述性统计。 其次,运用数据包络分析(DEA)方法及相关模型对7年间各物流企业的技术效率、规模效率和纯技术效率进行了测度,比较分析了近7年间物流企业各效率的静态变化。为了对同一时期前沿面技术效率为1的企业进行再排序,本文运用了DEA-Solver pro5.0软件对各年技术效率为1的企业进行超效率测度,对其效率进行重新评价。 再次,通过基于DEA的Malmquist生产率指数法对上市物流企业7年间的全要素生产率进行测度,计算出了技术效率指数、技术变化指数、规模效率指数、纯技术效率指数及全要素生产率指数,并对17家物流企业2005-2011年间的全要素生产率进行了纵向的、动态的、分类别的、分区域的分析。 最后,根据以上分析结果,分别从技术效率方面、规模效率方面以及区域物流效率方面提出了相应的策略。
[Abstract]:As an important part of service industry, logistics industry is not only the focus of implementing the strategy of expanding domestic demand economic development, but also an important field to promote the development of national economy and the optimization and upgrading of industrial structure. In recent years, the importance of logistics industry in the national economy and social development has become increasingly prominent, but the efficiency of logistics enterprises in China is not high, and the operating costs remain high, which hinders its supporting role to the economic development of our country. Therefore, it is particularly urgent to further improve the efficiency of logistics enterprises. The research object of this paper is the efficiency evaluation of logistics enterprises. Firstly, based on the existing research results at home and abroad, combined with the characteristics of logistics enterprises, this paper establishes an input-output efficiency evaluation system of logistics enterprises. Then 17 Shanghai and Shenzhen listed enterprises (including 8 port enterprises and 9 transportation and warehousing enterprises) were selected as the research samples, and 17 listed logistics enterprises' fixed assets, employees' wages and main business costs were selected as input variables from 2005 to 2011. The main business income and total profit are output variables. The input-output variables of each logistics listed enterprise in each year are described. Secondly, the paper measures the technical efficiency, scale efficiency and pure technical efficiency of logistics enterprises in the past seven years by using data Envelopment Analysis (DEAA) method and related models, and compares and analyzes the static changes of each efficiency of logistics enterprises in the past seven years. In order to reorder the enterprises with technological efficiency of 1 at the front of the same period, this paper uses DEA-Solver pro5.0 software to measure the super-efficiency of the enterprises with technical efficiency of 1 in each year, and to re-evaluate its efficiency. Thirdly, through the Malmquist productivity index method based on DEA to measure the total factor productivity of listed logistics enterprises in seven years, the technical efficiency index, technological change index and scale efficiency index are calculated. The pure technical efficiency index and total factor productivity index are used to analyze the total factor productivity of 17 logistics enterprises from 2005 to 2011. Finally, according to the above analysis results, the corresponding strategies are put forward from the aspects of technical efficiency, scale efficiency and regional logistics efficiency.
【学位授予单位】:天津理工大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F224;F259.23
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