基于超效率DEA模型的电力行业环境绩效评价研究

发布时间：2017-12-28 22:21

本文关键词：基于超效率DEA模型的电力行业环境绩效评价研究　出处：《江苏大学》2017年硕士论文　论文类型：学位论文

【摘要】：环境保护是全球各国家经济可持续发展面临的共同问题,而中国作为发展中国家,目前正处于工业化快速推进阶段,在发展经济的同时将不可避免地面临着生态环境问题的挑战。随着国际社会对环境问题重要性的意识增强,环境绩效也受到越来越多的关注。作为基础能源产业之一,电力行业不仅在各国经济发展中占有优先地位,也同样在我国国民经济发展中有着举足轻重的地位。自上世纪90年代至今,在全球电力行业相继进行改革与调整的背景之下,国内的电力行业也走上了改革的道路。行业体系虽然已经较为完整的建立,但在体系发展中仍有一些问题亟需解决,比如相比体系发展而言较为缓慢的产业结构调整,以及整个产业长期存在的高能耗、高污染的状况等。在不同的经济背景下,各地区电力行业环境绩效的发展也各有差异。有鉴于此,本文研究重点在于我国各地区的电力行业环境绩效评价。在前人的研究基础之上,本文首先阐述了有关环境绩效评价的国内外文献综述以及相关理论基础;其次运用DEA模型对环境绩效进行分析,由于传统DEA模型仅仅能对环境绩效的有效性进行定性的评价,为了更准确地对环境绩效进行分析,本文采用了超效率DEA模型,通过超效率DEA模型,利用面板数据对我国各地区电力行业2010-2014年的环境绩效进行分析;最后,本文利用Tobit模型对各地区电力行业环境绩效的影响因素进行了回归分析。模型结果表明,我国各地区电力行业环境绩效有着较大的差异性。如上海、江苏、北京等地区与云南、四川以及吉林等地区的环境绩效水平就存在着较大的不均衡。造成差异的原因包括各地电力行业技术水平和产业规模等内在要素,以及包括地区总人口、地区第二产业用电量比重、单位地区国内生产总值煤炭消耗量等在内的宏观因素。最后本文同时从国家、行业以及企业三个方面提出合理化的政策与建议来提高电力行业环境绩效。
[Abstract]:Environmental protection is a common problem faced by the sustainable development of all countries in the world. China, as a developing country, is now in the stage of rapid industrialization. It will inevitably face the challenge of ecological environment while developing the economy. With the increasing awareness of the importance of environmental problems in the international community, environmental performance has attracted more and more attention. As one of the basic energy industries, the electric power industry not only occupies a leading position in the economic development of all countries, but also plays a decisive role in the development of our national economy. Since the 90s of last century, under the background of the reform and adjustment of the global power industry, the electric power industry in China has also embarked on the road of reform. Although the industry system has been established in a relatively complete way, there are still some problems to be solved in the development of the system, such as the slower industrial structure adjustment compared with the development of the system, and the long-term high energy consumption and high pollution situation in the whole industry. In different economic backgrounds, the development of the environmental performance of the power industry in various regions is also different. In view of this, this paper focuses on the environmental performance evaluation of the power industry in various regions of China. On the basis of previous studies, this paper first expounded on the environmental performance evaluation of domestic and international literature review and related theoretical basis; secondly, using DEA model to analyze the environmental performance, because the traditional DEA model can only qualitatively the effectiveness of environmental performance evaluation, in order to more accurately analyze the environmental performance, this paper using the super efficiency DEA model, through the super efficiency DEA model, using panel data to analyze each area in the electric power industry of China 2010-2014 years of environmental performance; finally, regression analysis of the impact on the regional power industry environmental performance factors based on Tobit model. The results of the model show that the environmental performance of the electric power industry in China has a great difference. Such as Shanghai, Jiangsu, Beijing and other regions, such as Yunnan, Sichuan and Jilin, and other regions of the environmental performance level, there is a large imbalance. The reasons for the difference include the internal factors such as the technology level and scale of the power industry, and the macro factors including the total population in the region, the proportion of the second industry electricity consumption, the gross domestic product consumption per unit area and so on. At the end of the paper, we put forward rationalized policies and suggestions from three aspects of the state, industry and enterprises to improve the environmental performance of the power industry.
【学位授予单位】：江苏大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F426.61;F406.7

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