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中国科学院大学学报 ›› 2012, Vol. 29 ›› Issue (4): 469-475.DOI: 10.7523/j.issn.2095-6134.2012.4.006

• 环境科学与地理学 • 上一篇    下一篇

1990—2009年山东能源消费的碳排放动态演进分析

王长建1,2, 张利1,2, 王强1, 乔莹3   

  1. 1. 中国科学院新疆生态与地理研究所, 乌鲁木齐 830011;
    2. 中国科学院研究生院, 北京 100049;
    3. 北京大学城市与环境学院, 北京 100871
  • 收稿日期:2011-08-30 修回日期:2011-10-14 发布日期:2012-07-15
  • 通讯作者: 王强
  • 基金资助:
    国家自然科学基金(41001384)资助

Analysis of dynamic evolution of energy-related CO2 emission in Shandong province

WANG Chang-Jian1,2, ZHANG Li1,2, WANG Qiang1, QIAO Ying3   

  1. 1. Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,China;
    2. Graduate University, Chinese Academy of Sciences,Beijing 100049,China;
    3. College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
  • Received:2011-08-30 Revised:2011-10-14 Published:2012-07-15

摘要: 计算山东1990—2009年的碳排放量,并采用LMDI对其进行因素分析. 结果表明,近20年,CO2排放总量和人均排放量不断上升,万元GDP碳排放呈下降趋势;煤炭消费是碳排放主要来源,第二产业CO2排放量比重最大. 经济增长是碳排放增加的主要因素;能源消费强度影响碳排放增速的变化,其本身又受到产业结构和各产业能耗强度的影响. 能源消费结构的微优化,对碳排放的影响还很小,但已显现出它对碳排放减少的作用.

关键词: 能源消费, 碳排放, 影响因素, 对数平均迪氏指数法

Abstract: Main factors responsible for the carbon emissions (CE) in Shandong were analyzed using the LMDI method. We found that CE and CE per capita increased year by year but the CE intensity decreased continuously. Coal consumption from the secondary industry and economic activity was the main driving force. Energy consumption intensity influenced CE and it was affected by the industrial structure and the energy consumption of different industrial sectors. The change in structure of energy consumption has relatively small impact, but it has displayed positive effect on the mitigation of CE.

Key words: energy use, carbon emissions, influence factors, logarithmic mean divisia index

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