Examining the driving forces for improving China's CO2 emission intensity using the decomposing method
Examining the driving forces for improving China's CO2 emission intensity using the decomposing method
复制标题
用分解法考察中国CO2排放强度改善的驱动力
DOI：
10.1016/j.apenergy.2011.05.042
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发表时间：
2011-12-01
期刊：
影响因子：
11.2
通讯作者：
Wang, Jianhui
中科院分区：
文献类型：
--
作者：
Tan, Zhongfu;Li, Li;Wang, Jianhui
本文利用对数平均除指数（LMDI）技术考察了1998年至2008年间中国二氧化碳排放强度降低的驱动力。首先将CO2排放分为电力行业和其他活动两类，排放强度进一步分解为CO2排放系数、发电能源强度、发电与消费比、国内生产总值(GDP)用电强度、省际结构变化和其他活动GDP能源强度的影响。分解结果表明，发电能源强度、GDP用电强度和其他活动GDP能源强度的改善是中国CO2排放强度成功降低的主要原因，其中电力行业相关活动发挥了关键作用。调查还显示，各个省份的绩效差异很大。排放水平较高的省份对中国二氧化碳排放强度改善的贡献最大。 (C) 2011 Elsevier Ltd. 保留所有权利。
This paper examines the driving forces for reducing China's CO2 emission intensity between 1998 and 2008, utilizing the logarithmic mean divisia index (LMDI) technique. By first grouping the CO2 emissions into two categories, those arising from activities related to the electric power industry and those from other sources, emission intensity is further broken down into the effects of the CO2 emission coefficient, energy intensity of power generation, power generation and consumption ratio, electricity intensity of the gross domestic product (GDP), provincial structural change, and the energy intensity of the GDP for other activities. The decomposition results show that improvements in the energy intensity of power generation, electricity intensity of GDP, and energy intensity of GDP for other activities were mainly responsible for the success in reducing China's CO2 emission intensity and that activities related to the electric power industry played a key role. It is also revealed that performance varied significantly at the individual province level. The provinces with higher emission levels contributed the most to China's improvements in CO2 emission intensity. (C) 2011 Elsevier Ltd. All rights reserved.