| 基于STIRPAT模型的碳足迹影响因素 |
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| 引用本文： | 柯水发,赵可可,陈章纯,李彪.基于STIRPAT模型的碳足迹影响因素[J].湖南城市学院学报,2014(2):71-76. |
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| 作者姓名： | 柯水发 赵可可 陈章纯 李彪 |
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| 作者单位： | 中国人民大学农业与农村发展学院 |
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| 基金项目： | 北京市自然科学基金资助项目(9132012) |
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| 摘 要： | 基于STIRPAT模型，分析近十年来（2002．2011年）北京市碳足迹的情况，我们发现，人口结构、国民生产总值、能源结构等是北京市碳足迹的主要影响因素，其影响系数分别为1．02、0．39、0．25。只有倡导城镇居民低碳生活、持续淘汰高能耗企业、增加清洁能源和新能源的使用，才能推动北京市低碳发展，减少北京市碳足迹。
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| 关 键 词： | 碳足迹 影响因素 人口结构 能源结构 |
Impact Factors Analysis of Carbon Footprint Based on the STIRPAT Model |
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| KE Shui-fa;ZHAO Keke;CHEN Zhang-chun;LI Biao.Impact Factors Analysis of Carbon Footprint Based on the STIRPAT Model[J].Journal of Hunan City Univeristy,2014(2):71-76. |
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| Authors: | KE Shui-fa;ZHAO Keke;CHEN Zhang-chun;LI Biao |
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| Affiliation: | KE Shui-fa;ZHAO Keke;CHEN Zhang-chun;LI Biao;School of Agricultural Economics and Rural Development, Renmin University of China; |
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| Abstract: | Based on the STIRPAT Model, this paper comes up with the result that population structure, GDP, energy structure are the main impact factors on Beijing＇s carbon footprint by analyzing ten year＇s（2002-2011） data of Beijing. The impact coefficient of population structure, GDP and energy structure are 1.02, 0.39 and 0.25 respectively. Aiming at this conclusion, measures to promote Beijing＇s low-carbon development and decrease Beijing＇s carbon footprint are proposed, such as initiating low-carbon life, weeding out high energy consumption enterprises, increase using clear energy and so on. |
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| Keywords: | carbon footprint impact factors population structure energy structure |
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