首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于LMDI的中国能源消费碳排放强度变化因素分解
引用本文:张秋菊,王平,朱帮助.基于LMDI的中国能源消费碳排放强度变化因素分解[J].数学的实践与认识,2012,42(13):79-86.
作者姓名:张秋菊  王平  朱帮助
作者单位:五邑大学经济管理学院,广东江门,529020
基金项目:国家博士科学基金,教育部人文社会科学青年基金,广东省自然科学基金,江门市科技计划项目,五邑大学青年基金
摘    要:利用IPCC《国家温室气体清单指南》(2006)推荐的参考方法和参数,评估和计算中国1997年-2007年的碳排放量和碳排放强度,并应用LMDI方法对碳排放强度进行因素分解.研究结果表明,能源强度因素对我国碳排放强度变化的贡献率最大,达到139.66%;产业结构效应次之,为-28.23%;能源结构效应最小,为-11.43%.针对实证结果,提出现阶段我国节能减排的重点在于提高能源效率、调整产业结构及优化能源结构.

关 键 词:能源消费  碳排放强度  因素分解  对数平均迪氏指数法

Factors Decomposition of Energy Carbon Emissions Intensity in China Based on LMDI
ZHANG Qiu-ju , WANG Ping , ZHU Bang-zhu.Factors Decomposition of Energy Carbon Emissions Intensity in China Based on LMDI[J].Mathematics in Practice and Theory,2012,42(13):79-86.
Authors:ZHANG Qiu-ju  WANG Ping  ZHU Bang-zhu
Institution:(School of Economics and Management,Wuyi University,Jiangmen 529020,China)
Abstract:Using the calculation methodology and carbon emission coefficients adopted by IPCC(2006),energy consumption carbon emissions and carbon emissions intensity in China were calculated from 1997-2007.And impacts from industrial structures,energy mix and energy efficiency on carbon emission coefficient were examined in detail with the LMDI method.Empirical results showed that energy efficiency effect played an important part in decrease China’s carbon emissions coefficient,whose contribution ration reached 139.66%, while industrial structures effect had a small and positive contribution ratio and energy mix effect had a small and irregular contribution ratio to China’s carbon emissions coefficient in the past years,whose contribution ration reached—28.23%and—11.43%,respectively. According to the empirical analysis results,corresponding policy suggestions were given as focusing on improving energy efficiency,adjusting industrial structure and optimizing energy mix.
Keywords:energy consumption  carbon emission intensity  factors decomposition  LMDI
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号