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首页> 外文期刊>ScientificWorldJournal >Study on Influencing Factors of Carbon Emissions from Energy Consumption of Shandong Province of China from 1995 to 2012
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Study on Influencing Factors of Carbon Emissions from Energy Consumption of Shandong Province of China from 1995 to 2012

机译：1995年至2012年中国山东省山东省能耗影响因素研究

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摘要

Carbon emissions from energy consumption of Shandong province from 1995 to 2012 are calculated. Three zero-residual decomposition models (LMDI, MRCI and Shapley value models) are introduced for decomposing carbon emissions. Based on the results, Kendall coordination coefficient method is employed for testing their compatibility, and an optimal weighted combination decomposition model is constructed for improving the objectivity of decomposition. STIRPAT model is applied to evaluate the impact of each factor on carbon emissions. The results show that, using 1995 as the base year, the cumulative effects of population, per capita GDP, energy consumption intensity, and energy consumption structure of Shandong province in 2012 are positive, while the cumulative effect of industrial structure is negative. Per capita GDP is the largest driver of the increasing carbon emissions and has a great impact on carbon emissions; energy consumption intensity is a weak driver and has certain impact on carbon emissions; population plays a weak driving role, but it has the most significant impact on carbon emissions; energy consumption structure is a weak driver of the increasing carbon emissions and has a weak impact on carbon emissions; industrial structure has played a weak inhibitory role, and its impact on carbon emissions is great.
机译：计算了1995年至2012年山东省能源消耗的碳排放。引入了三种零剩余分解模型（LMDI，MRCI和福利值模型），用于分解碳排放。基于结果，采用KENDALL协调系数方法来测试它们的兼容性，并且构造了最佳加权组合分解模型以提高分解的客观性。芯板模型用于评估每个因素对碳排放的影响。结果表明，2012年使用1995年作为基准年，山东省山东省人均GDP，能源消耗强度和能耗结构的累积效应是积极的，而产业结构的累积效应是消极的。人均GDP是碳排放量增加的最大驱动因素，对碳排放产生了很大影响;能量消耗强度是弱势驾驶员，对碳排放有一定的影响;人口发挥疲软的驾驶作用，但它对碳排放产生了最大的影响;能源消耗结构是碳排放量增加的弱势驾驶员，对碳排放产生薄弱;产业结构发挥了较弱的抑制作用，其对碳排放的影响很大。

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