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中国服务业能源消费与碳排放的关联分析
引用本文:张旺,谢世雄.中国服务业能源消费与碳排放的关联分析[J].湖南工业大学学报(社会科学版),2014,19(4):1-9.
作者姓名:张旺  谢世雄
作者单位:湖南工业大学 全球低碳城市联合研究中心;湖南工业大学 建筑与城乡规划学院
基金项目:国家“十二五”科技支撑计划基金资助项目(2011BAJ07B03-06);湖南省教育厅一般科研基金资助项目(12C0082)
摘    要:在分析1991—2011年间中国服务业能耗与碳排放的结构特征和总体趋势的基础上,运用OECD脱钩指标法和Tapio脱钩指标法,阐述了服务业GDP、能耗与碳排放之间的互动关系和关联效应。结果表明:服务业GDP、能耗和碳排放量整体上呈逐年增长之势;能耗强度与碳排放强度的变化具有很强的一致性和同步性,都呈下降之势;煤炭类消费的比重大致呈递减之势,而天然气、热力和电力消费的数量和比重却呈逐年增长趋势;煤炭、石油等传统高碳能源比重均占80%以上;历年OECD脱钩因子均呈现出绝对脱钩的状态,并表现为波动式上升之势;历年Tapio脱钩弹性指数整体上也均呈波动式上升之势。基于以上结论,提出了服务业节能减碳的政策建议。

关 键 词:服务业  能源消费  碳排放  关联分析  脱钩指标法
收稿时间:4/5/2014 12:00:00 AM

Relevance Analysis of Energy Consumption
ZHANG Wang and XIE Shixiong.Relevance Analysis of Energy Consumption[J].Journal of Hunan University of Technology(Social Science Edition),2014,19(4):1-9.
Authors:ZHANG Wang and XIE Shixiong
Institution:ZHANG Wang, XIE Shixiong ( 1. Global Joint Research Centre for Low Carbon City, Hunan University of Technology, Zhuzhou Iqunan,412007, China; 2. School of Architecture and Urban & Rural Planning, Hunan University of Technology,Zhuzhou Hunan,412007, China)
Abstract:On the basis of structural characteristics and general tendency analysis on energy consumption and car-bon emission about Chinese service industry during 1991-2011,the methods of OECD and Tapio decoupling indi-cator were applied,the interactive relations and associated effects were described among GDP,energy consumption and carbon emission in service industry.Results indicates as follows:as a whole,GDP,energy consumption and carbon emission were yearly growth of potential;The change of energy intensity and carbon intensity about service industry had strong consistency and synchronization,and they were declined of potential;The consumption propor-tion of coal was roughly decreasing of potential,but the consumption proportion and total amount of natural gas, thermal and power were yearly growth trend;traditional high carbon energy proportions,such as coal and oil were accounted for 80% above;OECD decoupling factor were rendering out absolute decoupling state,and performed for fluctuations type rose of potential every year;Tapio decoupling elasticity indicators showed volatility on the overall rising trend.Based on the above conclusions,some policy recommendations of energy saving and carbon reduction about service industry were put forward.
Keywords:service industry  energy consumption  carbon emission  relational analysis  decoupling indicator method
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