Decomposition analysis of energy-related carbon dioxide emissions in the iron and steel industry in China

IMR OpenIR

	Decomposition analysis of energy-related carbon dioxide emissions in the iron and steel industry in China
其他题名	Decomposition analysis of energy-related carbon dioxide emissions in the iron and steel industry in China
	Sun Wenqiang; Cai Jiuju; Yu Hai; Dai Lei
	2012
发表期刊	FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING
ISSN	2095-2201
卷号	6 期号:2 页码:265-270
摘要	This work aims to identify the main factors influencing the energy-related carbon dioxide (CO2) emissions from the iron and steel industry in China during the period of 1995-2007. The logarithmic mean divisia index (LMDI) technique was applied with period-wise analysis and time-series analysis. Changes in energy-related CO2 emissions were decomposed into four factors: emission factor effect, energy structure effect, energy consumption effect, and the steel production effect. The results show that steel production is the major factor responsible for the rise in CO2 emissions during the sampling period; on the other hand the energy consumption is the largest contributor to the decrease in CO2 emissions. To a lesser extent, the emission factor and energy structure effects have both negative and positive contributions to CO2 emissions, respectively. Policy implications are provided regarding the reduction of CO2 emissions from the iron and steel industry in China, such as controlling the overgrowth of steel production, improving energy-saving technologies, and introducing low-carbon energy sources into the iron and steel industry.
其他摘要	This work aims to identify the main factors influencing the energy-related carbon dioxide (CO_2) emissions from the iron and steel industry in China during the period of 1995-2007. The logarithmic mean divisia index (LMDI) technique was applied with period-wise analysis and time-series analysis. Changes in energyrelated CO_2 emissions were decomposed into four factors: emission factor effect, energy structure effect, energy consumption effect, and the steel production effect. The results show that steel production is the major factor responsible for the rise in CO_2 emissions during the sampling period; on the other hand the energy consumption is the largest contributor to the decrease in CO_2 emissions. To a lesser extent, the emission factor and energy structure effects have both negative and positive contributions to CO_2 emissions, respectively. Policy implications are provided regarding the reduction of CO_2 emissions from the iron and steel industry in China, such as controlling the overgrowth of steel production, improving energy-saving technologies, and introducing low-carbon energy sources into the iron and steel industry.
关键词	DIVISIA INDEX carbon dioxide (CO2) emissions decomposition analysis logarithmic mean divisia index (LMDI) technique time-series analysis
收录类别	CSCD
语种	英语
资助项目	[Fundamental Research Funds for the Central Universities, China]
CSCD记录号	CSCD:4510764
引用统计	被引频次：1[CSCD] [CSCD记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/154540
专题	中国科学院金属研究所
作者单位	中国科学院金属研究所
推荐引用方式 GB/T 7714	Sun Wenqiang,Cai Jiuju,Yu Hai,et al. Decomposition analysis of energy-related carbon dioxide emissions in the iron and steel industry in China[J]. FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING,2012,6(2):265-270.
APA	Sun Wenqiang,Cai Jiuju,Yu Hai,&Dai Lei.(2012).Decomposition analysis of energy-related carbon dioxide emissions in the iron and steel industry in China.FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING,6(2),265-270.
MLA	Sun Wenqiang,et al."Decomposition analysis of energy-related carbon dioxide emissions in the iron and steel industry in China".FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING 6.2(2012):265-270.