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Factors Affecting Energy-Related Carbon Emissions in Beijing-Tianjin-Hebei Region

机译:京津冀地区能源相关碳排放的影响因素

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摘要

Beijing-Tianjin-Hebei is a typical developed region in China. The development of economy has brought lots of carbon emissions. To explore an effective way to reduce carbon emissions, we applied the Logarithmic Mean Divisia Index (LMDI) model to find drivers behind carbon emission from 2003 to 2013. Results showed that, in Beijing, Tianjin, and Hebei, economic output was main contributor to carbon emissions. Then we utilized the decoupling model to comprehensively analyze the relationship between economic output and carbon emission. Based on the two-level model, results indicated the following: (1) Industry sector accounted for almost 80% of energy consumption in whole region. The reduced proportion of industrial GDP will directly reduce the carbon emissions. (2) The carbon factor for CO2/energy in whole region was higher than that of Beijing and Tianjin but lower than that of Hebei. The impact of energy structure on carbon emission depends largely on the proportion of coal in industry. (3) The energy intensity in whole region decreased from 0.79 in 2003 to 0.40 in 2013 (unit: tons of standard coal/ten thousand yuan), which was lower than national average. (4) The cumulative effects of industrial structure, energy structure, and energy intensity were negative, positive, and negative, respectively.
机译:京津冀是中国典型的发达地区。经济的发展带来了许多碳排放。为了探索减少碳排放的有效方法,我们使用对数均值指数模型(LMDI)寻找2003年至2013年碳排放的驱动因素。结果表明,在北京,天津和河北,经济产出是造成碳排放的主要因素。碳排放量。然后,我们利用去耦模型全面分析了经济产出与碳排放之间的关系。基于两级模型,结果表明:(1)工业部门占整个地区能源消耗的近80%。降低的工业GDP比例将直接减少碳排放。 (2)整个地区二氧化碳/能源的碳因子高于北京和天津,但低于河北。能源结构对碳排放的影响很大程度上取决于工业中煤炭的比例。 (3)全区能源强度从2003年的0.79下降到2013年的0.40(单位:吨标准煤/万元),低于全国平均水平。 (4)产业结构,能源结构和能源强度的累积效应分别为负,正和负。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第7期|1524023.1-1524023.17|共17页
  • 作者单位

    North China Elect Power Univ, Dept Econ Management, 689 Huadian Rd, Baoding 071003, Peoples R China;

    North China Elect Power Univ, Dept Econ Management, 689 Huadian Rd, Baoding 071003, Peoples R China;

    North China Elect Power Univ, Dept Econ Management, 689 Huadian Rd, Baoding 071003, Peoples R China;

    North China Elect Power Univ, Dept Econ Management, 689 Huadian Rd, Baoding 071003, Peoples R China;

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