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中国科学院大学学报 ›› 2016, Vol. 33 ›› Issue (2): 162-169.DOI: 10.7523/j.issn.2095-6134.2016.02.004

• 环境科学与地理学 • 上一篇    下一篇

中国煤炭消费增长影响因素的多层次指数分解

董洁芳1,2,3, 王强2, 张小雷1,2, 王兴民2,3   

  1. 1. 新疆大学资源与环境科学学院, 乌鲁木齐 830011;
    2. 中国科学院新疆生态与地理研究所, 乌鲁木齐 830011;
    3. 中国科学院大学, 北京 100049
  • 收稿日期:2015-09-16 修回日期:2015-10-30 发布日期:2016-03-15
  • 通讯作者: 王强
  • 基金资助:

    中国科学院生态与地理研究所所长基金(Y475061001)资助

Multilevel LMDI decomposition of changes in aggregate coal consumption in China

DONG Jiefang1,2,3, WANG Qiang2, ZHANG Xiaolei1,2, WANG Xingmin2,3   

  1. 1. College of Resource and Environment Science, Xinjiang University, Urumqi 830011, China;
    2. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;
    3. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2015-09-16 Revised:2015-10-30 Published:2016-03-15

摘要:

深入分析中国煤炭消费增长的影响因素对制定节能减排政策意义重大.在微观、中观和宏观区域层次上利用LMDI法将中国煤炭消费总量变动的影响因素分解为经济效应、结构效应和强度效应.对3种效应在不同区域层次上的稳健性进行检验.结果显示,经济增长驱动煤炭消费,强度效应抑制煤炭消费,结构效应影响较弱;区域越宏观,结构效应的抑制作用微弱增强,强度效应的抑制作用则减弱;从绝对数值来讲,乘法分解的结果在不同区域层次上具有较好的稳健性.

关键词: 煤炭消费, 多层次指数分解, LMDI, 乘法分解

Abstract:

Analysis of the influencing factors on China's coal consumption is important for making the energy-saving and emission-reduction policies. The influence factors are decomposed into economic effect, structural effect, and intensity effect by using LMDI at the micro, meso, and macro levels, respectively. The robustness of the three effects is tested. Results show that the economic growth increased the coal consumption but the energy intensity decreased the consumption. The results of multiplicative decomposition show good robustness at different regional levels.

Key words: coal consumption, multilevel decomposition, LMDI, multiplicative decomposition

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