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

作     者：Wenqiang SUN Jiuju CAI Hai YU Lei DAI 

作者机构：SEP Key Laboratory of Eco-industryInstitute of Thermal and Environmental EngineeringNortheastern UniversityShenyang 110819China 

出 版 物：《Frontiers of Environmental Science & Engineering》 (环境科学与工程前沿（英文）)

年 卷 期：2012年第6卷第2期

页      面：265-270页

核心收录：

学科分类：12[管理学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 

基　　金：Fundamental Research Funds for the Central Universities 

主　　题：carbon dioxide (C02) emissions decomposi-tion analysis logarithmic mean divisia index (LMDI)technique time-series analysis 

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 consump- tion is the largest contributor to the decrease in C02 emissions. To a lesser extent, the emission factor and energy structure effects have both negative and positive contributions to C02 emissions, respectively. Policy implications are provided regarding the reduction of C02 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.