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Empirical Analysis of Carbon Emission Accounting and Influencing Factors of Energy Consumption in China

机译:中国碳排放核算及能源消费影响因素的实证分析

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摘要

China is confronting great pressure to reduce carbon emissions. This study focuses on the driving factors of carbon emissions in China using the Logarithmic Mean Divisia Index (LMDI) method. Seven economic factors, including gross domestic product (GDP), investment intensity, research and development (R&D) intensity, energy intensity, research and development (R&D) efficiency, energy structure and province structure are selected and the decomposition model of influencing factors of carbon emissions in China is constructed from a sectoral perspective. The influence of various economic factors on carbon emissions is analyzed quantitatively. Results show that the R&D intensity and energy intensity are the main factors inhibiting the growth of carbon emissions. GDP and investment intensity are the major factors promoting the growth of carbon emissions. The contribution of R&D efficiency to carbon emissions is decreasing. The impacts of energy structure and province structure on carbon emissions are ambiguous through time. Finally, some policy suggestions for strengthening the management of carbon emissions and carbon emission reduction are proposed.
机译:中国正面临着减少碳排放的巨大压力。本研究使用对数均值指数(LMDI)方法研究中国碳排放的驱动因素。选择了国内生产总值(GDP),投资强度,研发(R&D)强度,能源强度,研发(R&D)效率,能源结构和省结构等七个经济因素,并建立了影响碳排放的因素分解模型。中国的排放是从部门的角度构建的。定量分析了各种经济因素对碳排放的影响。结果表明,研发强度和能量强度是抑制碳排放量增长的主要因素。 GDP和投资强度是促进碳排放量增长的主要因素。研发效率对碳排放的贡献正在下降。随着时间的流逝,能源结构和省级结构对碳排放的影响是模棱两可的。最后,提出了一些加强碳排放和碳减排管理的政策建议。

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