| 基于灰色定权聚类的江苏省工业节能减排评价研究 |
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| 引用本文： | 徐沛勣,姚天祥.基于灰色定权聚类的江苏省工业节能减排评价研究[J].南京气象学院学报,2014,6(4):374-379. |
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| 作者姓名： | 徐沛勣 姚天祥 |
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| 作者单位： | 南京信息工程大学 经济管理学院, 南京, 210044;南京信息工程大学 经济管理学院, 南京, 210044 |
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| 基金项目： | 国家自然科学基金（71171116，71271226）；教育部人文社会科学青年基金（09YJC630129） |
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| 摘 要： | 采用灰色定权聚类分析法，对江苏省近年来的工业节能减排情况进行评价.结果表明：2000年以及2009-2011年的节能减排效果较好，2002-2008年的节能减排效果一般，2001年的节能减排效果较差.另外，还结合各项指标对评价结果进行分析，并有针对性地提出有关江苏省节能减排措施的建议.
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| 关 键 词： | 节能减排 江苏省 灰色定权聚类 评价 |
| 收稿时间： | 2013/9/7 0:00:00 |
Research of industrial energy conservation and emission reduction in Jiangsu province based on grey fixed weight cluster |
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| XU Peiji and YAO Tianxiang.Research of industrial energy conservation and emission reduction in Jiangsu province based on grey fixed weight cluster[J].Journal of Nanjing Institute of Meteorology,2014,6(4):374-379. |
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| Authors: | XU Peiji and YAO Tianxiang |
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| Institution: | School of Economics and Management, Nanjing University of Information Science & Technology, Nanjing 210044;School of Economics and Management, Nanjing University of Information Science & Technology, Nanjing 210044 |
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| Abstract: | Recently,the contradiction between energy,environment and economic development has become more and more prominent,hence the research on energy conservation and emission reduction is becoming more and more significant. By employing the analysis method of grey fixed weight cluster,this paper carries on the performance assessment of industrial energy conservation and emission reduction in Jiangsu province in recent years. The result shows that notable achievements have been made in year 2000,2009,2010 and 2011,while a fairly good job has been done in the years of 2002-2008,and at the bottom of the list is the performance in year 2001. In addition,with the combination of each indicator,this paper analyzes the causes of the result,and puts forward some relevant measures for the improvement of Jiangsu provincial energy conservation and emission reduction work. |
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| Keywords: | energy conservation and emission reduction Jiangsu province grey fixed weight cluster appraisal |
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