Decomposition analysis of energy-related carbon dioxide emissions in the iron and steel industry in China
查看参考文献14篇
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文摘
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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. |
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来源
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Frontiers of Environmental Science & Engineering
,2012,6(2):265-270 【核心库】
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DOI
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10.1007/s11783-011-0284-8
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关键词
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carbon dioxide (CO_2) emissions
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decomposition analysis
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logarithmic mean divisia index (LMDI) technique
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time-series analysis
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地址
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Institute of Thermal and Environmental Engineering, Northeastern University, SEP Key Laboratory of Eco-industry, Shenyang, 110819
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语种
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英文 |
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文献类型
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研究性论文 |
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ISSN
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2095-2201 |
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学科
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环境保护管理 |
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文献收藏号
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CSCD:4510764
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