| 中国区域能源效率比较——基于DEA-Malmquist和聚类分析 |
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| 引用本文： | 李金铠,沈波,韩亚峰,张孟豪.中国区域能源效率比较——基于DEA-Malmquist和聚类分析[J].北京理工大学学报(社会科学版),2012,14(6):1-6. |
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| 作者姓名： | 李金铠 沈波 韩亚峰 张孟豪 |
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| 作者单位： | 北京大学光华管理学院,北京 100871;美国能源部劳伦斯伯克利国家实验室,美国加州伯克利 94702;美国能源部劳伦斯伯克利国家实验室,美国加州伯克利 94702;西安交通大学经济与金融学院,西安,710061;中国矿业大学管理学院,江苏徐州,221000 |
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| 基金项目： | 国家软科学重大公开招标项目(2012GXS1D003);国家自然科学基金资助项目(71173006);中国博士后基金特别资助项目(201003029);教育部人文社科青年基金资助项目(09YJC790011);河南省高等院校创新人才支持计划项目(2010-08);河南省人文社科基地基金资助项目(2008-088);河南省青年学术骨干教师基金资助项目(2011-JD-018) |
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| 摘 要： | 将工业污染物排放作为非期望产出, 以2001—2010年30个省际的数据为基础, 采用DEA-Malmquist生产效率指数测算中国省际全要素能源效率, 结果表明:东部全要素能源效率一直处于效率前沿面上, 中西部地区则远离前沿面。为了寻求提高中西部地区的全要素能源效率的途径和方法, 根据技术进步、纯技术效率和规模效率等三个指标对不同类型区域的全要素能源效率差异和特征进行聚类和分析, 并提出针对不同地区提高全要素能源效率的对策建议。
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| 关 键 词： | 全要素能源效率 技术进步 技术效率 聚类分析 |
| 收稿时间： | 2012/9/12 0:00:00 |
The Comparative Analysis of China's Regional Energy Efficiency: Based on the DEA-Malmquist and Clustering Method |
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| LI Jinkai,SHEN bo,HAN Yafeng and ZHANG Menghao.The Comparative Analysis of China's Regional Energy Efficiency: Based on the DEA-Malmquist and Clustering Method[J].Journal of Beijing Institute of Technology(Social Sciences Edition),2012,14(6):1-6. |
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| Authors: | LI Jinkai SHEN bo HAN Yafeng and ZHANG Menghao |
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| Institution: | 1.Guanghua School of Management, Peking University, Beijing 100871, China2.Lawrence Berkeley National Laboratory, California 94702, USA3.School of Finance and Economics, Xi’an Jiaotong University, Xi’an 710061, China4.School of Management, China University of Mining and Technology, Jiangsu Xuzhou 221000, China |
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| Abstract: | Taking the industrial pollutant emission as the unexpected output and 30 provincial data from the year 2001 to 2010, the paper measured the Chinese provincial total factor energy efficiency by the method of DEA-Malmquist productivity index. This research showed that the eastern area’s TFEE located on the efficiency frontier surface and the mid-west area was far from that. In order to seek out the way to improve the mid-west area’s TFEE, this paper clustered and analyzed different types and features of regional total factor energy efficiency on the three indicators including technological progress, pure technical efficiency and scale efficiency. This article also put forward countermeasures and suggestions to improve TFEE of different regions. |
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| Keywords: | total factor energy efficiency technological advancement technological efficiency clustering method |
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