碳排放约束下山东省能源效率及其影响因素研究

发布时间：2018-03-12 09:43

本文选题：能源效率　切入点：碳排放　出处：《中国石油大学(华东)》2014年硕士论文　论文类型：学位论文

【摘要】：能源是人类生存和发展的重要物质基础,能源问题关乎国家经济发展命脉,直接影响到经济安全运行以及可持续发展的实现。近年来,随着能源的过度利用和开发,能源短缺问题在全球逐渐凸显并越来越严重,传统的能源消费模式将不能满足经济长远发展的需要,如何提高提高能源效率,保持能源的可持续供应已成为全球性的热点话题。山东省作为能源大省,丰富的煤炭、石油和矿产资源带动了经济的飞速发展,但同时大量的能源消耗也带来了严重的环境污染问题,解决好能源消费与资源、环境间的矛盾对于推动山东省节能减排任务的完成以及经济社会可持续发展的实现具有重要意义。因此,有必要在环境约束条件下,对山东省的能源利用效率水平进行研究。本文基于1990-2012年山东省及其17地市相关数据,运用数据包络分析方法中基于投入导向的BCC模型,分别在碳排放约束和不包含碳排放约束两种情况下,构建全要素能源效率分析模型,对山东省及17地市的全要素能源利用效率水平进行分析。实证结果表明山东省整体能源利用效率还有很大的改进空间,省内各地市的投入指标和产出指标还可以进行相应的调整改进来达到最佳状态。同时通过两种模型结果的对比分析,发现考虑环境因素的全要素能源效率值更能代表能源效率的真实水平。又对能源效率的主要影响因素进行分析,构建了能源效率与能源消费结构、经济发展、产业结构、技术进步和碳排放之间的长期均衡关系,结果表明第二产业比例和煤炭消费占比的增加会降低能源效率水平,经济发展和技术进步会促进能源效率水平的提高。最后,根据实证分析的结果,针对山东省总体和不同能效水平上的地市分别提出了能源效率水平改进的对策建议。
[Abstract]:Energy is an important material foundation for human survival and development. The energy problem relates to the lifeblood of national economic development and directly affects the safe operation of economy and the realization of sustainable development. In recent years, with the over-utilization and exploitation of energy, The problem of energy shortage is becoming more and more serious in the world. The traditional energy consumption mode will not meet the needs of long-term economic development. How to improve energy efficiency, Maintaining a sustainable supply of energy has become a global hot topic. As a major energy province, Shandong Province, rich in coal, oil and mineral resources, has driven the rapid economic development. However, at the same time, a large amount of energy consumption has also brought serious environmental pollution problems, which have solved the problem of energy consumption and resources. The contradiction between the environment is of great significance to promote the completion of energy saving and emission reduction in Shandong Province and the realization of sustainable economic and social development. Based on the data of Shandong Province and its 17 cities from 1990 to 2012, this paper applies the input oriented BCC model in the data envelopment analysis method. In the case of carbon emission constraint and non-carbon emission constraint, the full factor energy efficiency analysis model is constructed. This paper analyzes the level of total factor energy use efficiency in Shandong Province and 17 cities. The empirical results show that there is still great room for improvement in the overall energy use efficiency in Shandong Province. The input index and output index of each city in the province can also be adjusted and improved to achieve the best condition. At the same time, through the comparative analysis of the results of the two models, It is found that the total factor energy efficiency value considering environmental factors can better represent the true level of energy efficiency, and the main influencing factors of energy efficiency are analyzed, and the energy efficiency and energy consumption structure, economic development and industrial structure are constructed. The long-term equilibrium between technological progress and carbon emissions, which shows that an increase in the proportion of the secondary industry and the share of coal consumption reduces energy efficiency levels, and that economic development and technological progress contribute to the improvement of energy efficiency levels. According to the results of empirical analysis, the countermeasures and suggestions of improving energy efficiency level are put forward for Shandong Province as a whole and different cities and cities with different energy efficiency levels.
【学位授予单位】：中国石油大学(华东)
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F426.2;X24

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