基于并行DEA模型的我国工业节能减排效率研究

发布时间：2018-04-20 01:38

本文选题：非期望产出 + 并行DEA　；参考：《合肥工业大学》2015年硕士论文

【摘要】：“十二五”规划对我国经济提出了科学发展的要求,要充分落实科学发展观,必须进一步加快转变经济发展方式。工业作为我国国民经济的主导产业,正面临能源消费总量居高不下、产能过剩现象严重、工业节能减排基础薄弱等一系列问题,缓解这些问题需要进一步提升工业节能减排效率,并有针对性地采取改进措施,促进我国工业经济的可持续发展。关于工业节能减排效率的研究,常用的方法是通过建立DEA模型进行测算,但由于传统DEA模型存在“黑箱”限制,本文采用突破“黑箱”限制的并行DEA模型,并在模型中融入非期望产出来测度我国工业节能减排效率。研究过程中将各省区作为主决策单元,其所辖地级市作为子系统,从地级市层面出发,运用纳入非期望产出属性约束的并行DEA模型测算我国2002-2012年的工业节能减排效率,并进一步将测算出的效率作为被解释变量,影响工业节能减排效率的若干因素作为解释变量进行影响因素分析。实证结果表明,单纯使用纳入非期望产出的非并行DEA模型测算出的效率值明显偏高,而纳入非期望产出属性约束的并行DEA模型所得到的效率值更加切合实际。总体来看,我国工业节能减排效率呈缓慢增长趋势,但效率水平偏低且各地区间存在差距。总体上单位工业增加值能耗和居民消费水平对工业节能减排效率的影响程度较大,其他因素也不同程度地影响效率水平。对东中西部分别进行分析发现,不同地区的影响因素显著性和显著关系均有差别。因此,我国工业节能减排形势严峻,地区间存在较大差异,工业的转型升级需要从更细致的层面因地制宜地制定相应政策,有针对性地提出改进方案,促进工业的包容性发展。
[Abstract]:The 12th Five-Year Plan has put forward the requirement of scientific development for our economy. In order to fully implement the concept of scientific development, we must further speed up the transformation of the mode of economic development. As the leading industry in China's national economy, industry is facing a series of problems, such as high total energy consumption, serious overcapacity, weak foundation for industrial energy conservation and emission reduction, etc. To alleviate these problems, it is necessary to further improve the efficiency of industrial energy saving and emission reduction, and take corresponding measures to promote the sustainable development of China's industrial economy. On the research of the efficiency of industrial energy saving and emission reduction, the common method is to establish DEA model to calculate it. However, because of the "black box" limitation in the traditional DEA model, the parallel DEA model which breaks through the "black box" limit is adopted in this paper. In the model, we measure the efficiency of industrial energy saving and emission reduction. In the course of the research, the provinces and districts are taken as the main decision-making unit, and the prefecture-level cities are taken as the subsystems. From the prefecture-level to the municipal level, the efficiency of industrial energy saving and emission reduction in China from 2002 to 2012 is calculated by using the parallel DEA model which includes the constraints of non-expected output attributes. Furthermore, the calculated efficiency is taken as the explained variable, and several factors affecting the efficiency of industrial energy saving and emission reduction are analyzed as the explanatory variables. The empirical results show that the efficiency value calculated by using the non-parallel DEA model with non-expected output is obviously higher than that of the parallel DEA model with non-expected output attribute constraints, and the efficiency value obtained by the parallel DEA model with non-expected output attribute constraints is more practical. In general, the efficiency of industrial energy conservation and emission reduction in China is increasing slowly, but the efficiency level is low and there is a gap between different regions. On the whole, the energy consumption per unit industrial added value and the level of resident consumption have a great influence on the efficiency of industrial energy saving and emission reduction, and other factors also affect the efficiency level in varying degrees. It was found that there were significant differences in influencing factors and significant relationships between different regions by analyzing the east, west and west of China. Therefore, the situation of industrial energy saving and emission reduction in China is severe, and there are great differences between regions. Therefore, the transformation and upgrading of industry need to formulate corresponding policies according to the local conditions from a more detailed level, and put forward the improvement plan to promote the inclusive development of industry.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F424.1;F224

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