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基于DEA方法的火电企业能源效率评估

发布时间:2018-12-26 06:48
【摘要】:能源是企业进行生产活动的物质基础,随着能源危机和环境污染问题的日趋严重,考虑如何提高企业能源利用效率、减少能源投入、降低环境污染,推动企业持续健康发展具有重要意义。火电企业是我国的主要能源行业,也是主要的能源消费终端和污染排放的源头,在我国落实执行节能减排目标的过程中发挥着至关重要的作用。研究火电企业能源效率评估,挖掘企业能源效率影响因素是提升火电企业能源效率的关键。本文以火电企业为研究对象,首先对企业能源效率研究的背景和意义进行了阐述,综述分析了相关文献的研究要点,对国内外企业能源效率的研究现状进行了归纳总结,以企业为研究对象给出了全要素能源效率的定义,分析了火电企业能源消费的特点,并确定了火电企业能源效率评估的对象。其次,基于全要素能源效率概念,阐述了能源效率评估指标体系构建的基本思想和原则,结合国内外有关企业能源效率评估指标体系的研究观点,以投入产出为出发点,筛选得到本文的火电企业全要能源效率评估指标体系,该指标体系包含3项投入指标要素,2项产出指标要素,并对各项指标要素的数据获取和相关内容做出说明。第三,对传统的数据包络分析(Date Envelopment Analysis,DEA)方法和数据包络分析的相对有效面的理论知识进行阐述,给出三种基本的能源效率评估模型,在此基础上,分析比较能源生产率和能源效率的概念,提出企业能源效率评估的非参数方法,构建了多产出基于松弛变量的DEA效率评估模型(Multi-output Slack Based Model,MSBM)。以重庆市8家大型火电企业为实证分析样本,对企业的能源效率水平进行了排序,运用Tobit回归分析函数对企业全要素能源效率影响因素进行分析最后,根据数据分析结果,提出了火电企业能源效率提升的对策和建议:调整生产能源消费结构;加大能源管理资本投入;加大企业设备装备资本投入;提高人力资源投入。
[Abstract]:Energy is the material basis for enterprises to carry out production activities. With the energy crisis and environmental pollution becoming more and more serious, how to improve the efficiency of energy utilization, reduce energy investment and reduce environmental pollution, It is of great significance to promote the sustainable and healthy development of enterprises. Thermal power enterprise is the main energy industry in China, as well as the main energy consumption terminal and source of pollution emissions, which plays a vital role in the implementation of energy saving and emission reduction targets in China. It is the key to improve the energy efficiency of thermal power enterprises to study the evaluation of energy efficiency of thermal power enterprises and excavate the influencing factors of energy efficiency. This paper takes the thermal power enterprise as the research object, first of all, the background and significance of the enterprise energy efficiency research are expounded, the main points of the related literature are summarized, and the current research situation of the domestic and foreign enterprises energy efficiency is summarized and summarized. Taking the enterprise as the research object, the definition of all-factor energy efficiency is given, the characteristics of energy consumption in thermal power enterprise are analyzed, and the object of energy efficiency evaluation of thermal power enterprise is determined. Secondly, based on the concept of all-factor energy efficiency, this paper expounds the basic ideas and principles of energy efficiency evaluation index system construction, combined with the domestic and foreign research point of view on enterprise energy efficiency evaluation index system, taking input and output as the starting point. The index system of energy efficiency evaluation for thermal power enterprises is selected. The index system consists of three input index elements and two output index elements, and the data acquisition and related contents of each index element are explained. Thirdly, the traditional data Envelopment Analysis (Date Envelopment Analysis,DEA) method and the theoretical knowledge of the relative effective surface of the data Envelopment Analysis are expounded, and three basic energy efficiency evaluation models are given. By analyzing and comparing the concepts of energy productivity and energy efficiency, a non-parametric method for enterprise energy efficiency evaluation is proposed, and a DEA efficiency evaluation model (Multi-output Slack Based Model,MSBM) based on relaxation variables for multiple outputs is constructed. Taking 8 large thermal power enterprises in Chongqing as the empirical analysis sample, the energy efficiency level of the enterprises is ranked, and the influencing factors of the total factor energy efficiency of the enterprises are analyzed by using the Tobit regression analysis function. Finally, according to the results of the data analysis, The countermeasures and suggestions for improving the energy efficiency of thermal power enterprises are put forward: adjusting the structure of energy consumption; Increase capital investment in energy management; increase investment in equipment and equipment of enterprises; and increase investment in human resources.
【学位授予单位】:重庆理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TM621

【参考文献】

相关期刊论文 前10条

1 陈琦;欧阳\,

本文编号:2391688


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