| 基于LMDI的中国特大城市能耗变化量的分解分析 |
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| 引用本文： | 刘毅,;滕飞,;宋金平,;Catherine BAUMONT.基于LMDI的中国特大城市能耗变化量的分解分析[J].资源与生态学报（英文版）,2014(3):228-236. |
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| 作者姓名： | 刘毅 ;滕飞 ;宋金平 ;Catherine BAUMONT |
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| 作者单位： | [1]中国科学院地理科学与资源研究所区域可持续发展分析与模拟重点实验室,北京100101; [2]中国科学院大学,北京100049; [3]法国国家科学研究中心经济管理实验室,法国第戎市21000; [4]北京师范大学地理科学与遥感学院,北京100083 |
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| 基金项目： | CAS Knowledge Innovation Project（ID：KZCX2-YW-03-08c）; National Natural Science Foundation of China（No.41171444） |
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| 摘 要： | 特大城市的能耗在全国能源系统中扮演着极其重要角色,但其能耗已从生产领域转向城市功能和自身发展方面。因此,本文利用迪氏对数指标分解法对1996-2012年间32个特大城市的能耗变化做因素分解分析,综合考虑城市经济增长、人口规模扩大和空间扩张三方面因素的基础上选取5项指标,计算其对城市能耗的贡献率,分析共性与差异,以更有针对性的开展城市能源管理和节能减排工作。
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| 关 键 词： | 特大城市 中国 能源消耗 LMDI分解法 |
Decomposition Analysis of Changes in Metropolitan Energy Consumption in China Based on the Logarithmic Mean Divisia Index |
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| Institution: | LIU Yi,TENG Fei,SONG Jinping,Catherine BAUMONT(1 Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101 China; 2 University of Chinese Academy of Sciences, Beijing 100049, China; 3 Laboratoire d＇Economie et de Gestion - National Center for Scientific Research, Dijon 21000, France ; 4 School of Geography, Beijing Normal University, Beijing 100083, China) |
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| Abstract: | The energy consumption of China＇s metropolitan areas has expanded from production areas to other areas such as the service area,and characteristics differ across small and medium-sized cities.Using the Logarithmic Mean Divisia Index（LMDI） decomposition method,we conducted a factor decomposition analysis on changes in energy consumption for 32 Chinese metropolises from 1995–2012 that had a resident population of at least 1 million people in 1995.On the basis of a comprehensive consideration of urban economic growth,population expansion and spatial expansion,energy consumption factors can be decomposed into five indicators： economic scale,energy consumption per unit of output value,energy consumption per capita,population density and energy space support coefficient.We valued the contribution of each factor to metropolises＇ energy consumption to determine generality and regional differences. |
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| Keywords: | metropolis China energy consumption LMDI decomposition method |
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