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浙江省能源消费碳排放的因素分解——基于LMDI分析方法 被引量:16

Decomposition Analysis of Carbon Emissions from Energy Consumption in Zhejiang Province Based on LMDI Method
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摘要 本文分析了1997—2008年间浙江省能源消费碳排放数据,采用对数均值迪氏分解(Logarithmic Mean Divisia In-dex,简称LMDI)法,对能源消费导致的二氧化碳排放量和碳排放强度进行结构分解。结果表明,浙江省能源消费碳排放量不断增加是由人口和人均国内生产总值(GDP)因素引起的,其中人均GDP增长是碳排放量增加的主要因素;能源强度下降是降低二氧化碳排放量的主要因素,能源结构的作用呈现波动性,且程度较小。本文得出如下结论,要减缓二氧化碳的排放量,构建"低碳浙江"、"生态浙江",应从重新认识人均GDP、控制人口数量、调整能源结构、降低能源强度、提高能源效率等方面考虑。 In this paper,the amount of carbon emissions due to energy consumption in Zhejiang Province from 1997 to 2008 is calculated,and a structural decomposition analysis of carbon dioxide emissions and emission intensity is set up by adopting logarithmic mean Divisia index(LMDI) method.The results show that the increasing carbon emissions from energy consumption in Zhejiang Province is consistent with the growth of population and Gross Domestic Product(GDP) per capita,especially for GDP per capita factor;decreasing the energy intensity plays a major role in decreasing carbon dioxide emissions,and the energy structure shows the trend of volatility with a lesser degree.In order to build "Low-carbon Zhejiang","Ecological Zhejiang",comprehensive measures should be undertaken to reduce the aggregated emissions,including re-understanding GDP per capita,controlling population,adjusting energy structure,reducing energy intensity and improving energy efficiency,and so on.
出处 《北京邮电大学学报(社会科学版)》 2011年第4期68-75,共8页 Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)
关键词 碳排放 能源强度 能源消费 LMDI carbon emissions energy intensity energy consumption logarithmic mean Divisia index
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  • 1Selected 2008 Indicators for People' s Republic of China [ EB/OL ]. (2010) [ 2010-08-14 ]. http : //www. iea. org/stats/indi- c ators, asp? COUNTRY_CODE -- CN. 被引量:1
  • 2Greening L A, Davis W B, Schipper L. Decomposition of aggregate carbon intensity for the manufacturing sector : comparison of declining trends from 10 OECD countries for the period 1971--1991 [J] . Energy Economics, 1998, 20( 1 ) : 43-65. 被引量:1
  • 3Davis W B, Sanstad A H, Koomey J G. Contributions of weather and fuel mix to recent declines in US energy and carbon intensity [ J ]. Energy Economics, 2003, 25 (4) : 375-396. 被引量:1
  • 4Chang Y F, Lewis C, Lin S J. Comprehensive evaluation of industrial CO2 emission (1989--2004) in Taiwan by input-output structural decomposition [ J ].Energy Policy, 2008, 36 (7) : 2471-2480. 被引量:1
  • 5Ferdinand V, Ferdinand D F, Erica S. A decomposition analysis of CO/emissions in the United States [ J]. Applied Economics Letters, 2010, 17(10): 925-931. 被引量:1
  • 6Wang Can, Chen Jining, Zou Ji. Decomposition of Energy-related CO2 Emission in China: 1957-2000[J]. Energy, 2005 ( 30 ) : 73-83. 被引量:1
  • 7胡初枝,黄贤金,钟太洋,谭丹.中国碳排放特征及其动态演进分析[J].中国人口·资源与环境,2008,18(3):38-42. 被引量:306
  • 8朱勤,彭希哲,陆志明,吴开亚.中国能源消费碳排放变化的因素分解及实证分析[J].资源科学,2009,31(12):2072-2079. 被引量:374
  • 9IPCC. 2006 IPCC Guidelines for National Greenhouse Gas Inventories: volume 11 Energy [ EB/OL] (2010-06) [ 2010-08- 14]. http: //www. ipcc-nggip, iges. or. jp/public/2006gl/vol2, html. 被引量:1
  • 10Johan A, Delphine F, Koen S, A Shapley. Decomposition of Carbon Emissions without Residuals [ J]. Energy Policy, 2002 (30) : 727-736. 被引量:1

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