基于省际面板数据的中国钢铁行业全要素能源效率研究

发布时间：2018-05-11 11:28

本文选题：钢铁行业 + 全要素能源效率　；参考：《华南理工大学》2013年硕士论文

【摘要】：能源是我国经济发展的重要基础，能源效率也在日益引起众多关注，并且已经成为能源政策研究的热点问题之一。但是目前针对能源效率的研究大多数是从宏观层面展开，或者是针对省级层面进行研究，或者是针对国家层面的分行业研究，又或者是在省级层面上的分行业研究，而针对具体行业来进行能源效率的研究比较少见。由于各个行业有着不同的生产要素禀赋，并且存在着生产结构的差异，这样各个行业也就存在着明显的生产差异性，如果使用不同的行业作为相互参照的决策单元，进行全要素能源效率的研究和比较，，就会出现系统性误差，不便于为行业发展提供借鉴。本文专门针对我国钢铁行业，基于1991-2010年的省际面板数据，采用非参数DEA模型对我国28省、市、自治区及四大经济区域的钢铁行业全要素能源效率进行测算，探究我国钢铁行业发展的一般趋势，同时采用MPI指数将全要素能源效率指数分解为三大指数，回归分析三类指数对全要素能源效率的影响，最终针对前面的分析提出提高我国钢铁行业全要素能源效率的建议。通过对我国钢铁行业省际全要素能源效率的分析，结果表明我国钢铁行业全要素能源效率偏低，除个别省份一直处于生产前沿面，其他各省都相对偏低，其能源效率的提升空间巨大。从区域上来说，东部地区能源效率利用程度最高，其他区域偏低。通过对全要素能源效率的MPI分解回归分析，发现技术效率是影响我国钢铁行业全要素能源效率提高的主要原因。最后结合分析，提出了促进我国钢铁行业能源效率总体提升的策略。
[Abstract]:Energy is an important foundation of economic development in China. Energy efficiency is attracting more and more attention and has become one of the hot issues in energy policy research. However, most of the current researches on energy efficiency are carried out at the macro level, either at the provincial level, or at the national level, or at the provincial level. However, the research on energy efficiency for specific industries is rare. Because different industries have different factors of production, and there are differences in production structure, so there are obvious differences in production in different industries, if different industries are used as cross-reference decision-making units, The systematic error will appear in the research and comparison of the energy efficiency of all factors, which is not convenient to provide reference for the development of the industry. Based on the provincial panel data from 1991 to 2010, the non-parametric DEA model is used to measure the total factor energy efficiency of iron and steel industry in 28 provinces, cities, autonomous regions and four major economic regions of China. This paper probes into the general trend of the development of iron and steel industry in our country. At the same time, the total factor energy efficiency index is decomposed into three indexes by using MPI index, and the influence of the three indexes on the total factor energy efficiency is analyzed by regression analysis. Finally, the paper puts forward some suggestions to improve the energy efficiency of iron and steel industry in China. Based on the analysis of the inter-provincial energy efficiency of iron and steel industry in China, the results show that the total factor energy efficiency of China's iron and steel industry is on the low side, except for some provinces that have been on the front line of production, while the other provinces are relatively low. Its energy efficiency improvement space is huge. From the regional point of view, the eastern region of energy efficiency is the highest, other regions are low. Through the MPI decomposition and regression analysis of the total factor energy efficiency, it is found that the technical efficiency is the main reason for the improvement of the total factor energy efficiency in China's iron and steel industry. Finally, combined with the analysis, the paper puts forward the strategies to promote the overall energy efficiency of China's iron and steel industry.
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F224;F426.31

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