Study on the Correlation Analysis of Energy Consumption in Economic Industries and Evaluation of Carbon Emission Decoupling in Beijing-Tianjin-Hebei Region

Dan Wu, Chenhui Ji
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引用次数: 2

Abstract

A deep exploration of the correlation analysis of energy consumption in economic industries and evaluation of carbon emission decoupling in Beijing-Tianjin-Hebei region can provide important reference for its government departments in decision-making to accelerate the formulation and improvement of energy consumption control policies and systems. In this paper, by use of the grey incidence analysis, the correlation analysis model of energy consumption and economic growth in the economic industries of Beijing-Tianjin-Hebei region was built to analyse the correlation characteristics of industrial energy consumption and economic growth in BeijingTianjin-Hebei region. Meanwhile, based on the indexes of economic output value and carbon emission efficiency in Beijing-Tianjin-Hebei region, a carbon emission increment model was set up to measure the contributions of carbon emission structure increment and efficiency increment in the region. And the Tapio elastic coefficient method was adopted to identify the decoupling trend of carbon emissions in Beijing-TianjinHebei region. Finally, the corresponding countermeasures and suggestions were put forward to provide support for the government departments of Beijing-Tianjin-Hebei region to accelerate the formulation and improvement of policies and measures for decoupling economic growth from energy consumption and carbon emissions in the economic industries of this region.
京津冀地区经济产业能耗相关性分析及碳排放脱钩评价研究
深入探讨京津冀地区经济产业能耗相关性分析和碳排放脱钩评价,可为政府决策部门加快制定和完善能耗控制政策和制度提供重要参考。本文运用灰色关联分析法,建立了京津冀地区经济产业能耗与经济增长的关联分析模型,分析了京津冀地区工业能耗与经济增长的关联特征。同时,以京津冀地区经济产值和碳排放效率为指标,建立了碳排放增量模型,测度了京津冀地区碳排放结构增量和效率增量的贡献。采用Tapio弹性系数法识别了京津冀地区碳排放的脱钩趋势。最后,提出了相应的对策建议,为京津冀地区政府部门加快制定和完善京津冀地区经济增长与能源消耗和碳排放脱钩的政策措施提供支持。
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