期刊文献+

The TOPSIS Evaluation on Carbon Emission Economic Efficiency

The TOPSIS Evaluation on Carbon Emission Economic Efficiency
下载PDF
导出
摘要 Based on carbon emission data of 17 cities in Shandong Province in 2005-2009,this paper analyzes carbon emission economic efficiency. It conducts weight distribution by the Ordered Weighted Averaging ( OWA) method,and takes systematic evaluation on carbon emission economic efficiency using TOPSIS method. In eastern coastal regions,including Dongying,Yantai,Weihai and Qingdao,the carbon emission economic efficiency is generally higher than inland regions of Shandong Province. The conclusion reached after correction of time weight is basically consistent with traditional TOPSIS overall evaluation,further proves validity of the evaluation. Finally,it gives recommendations for improving carbon emission economic efficiency in Shandong Province. Based on carbon emission data of 17 cities in Shandong Province in 2005-2009,this paper analyzes carbon emission economic efficiency. It conducts weight distribution by the Ordered Weighted Averaging ( OWA) method,and takes systematic evaluation on carbon emission economic efficiency using TOPSIS method. In eastern coastal regions,including Dongying,Yantai,Weihai and Qingdao,the carbon emission economic efficiency is generally higher than inland regions of Shandong Province. The conclusion reached after correction of time weight is basically consistent with traditional TOPSIS overall evaluation,further proves validity of the evaluation. Finally,it gives recommendations for improving carbon emission economic efficiency in Shandong Province.
出处 《Asian Agricultural Research》 2013年第6期1-4,共4页 亚洲农业研究(英文)
基金 Supported by Key Project of Ministry of Education(10YJC790312) Young Teacher Research Project of Ocean University of China(201162006)
关键词 CARBON EMISSION ECONOMIC efficiency OWA TOPSIS EVA Carbon emission economic efficiency,OWA,TOPSIS evaluation model
  • 相关文献

参考文献5

二级参考文献72

  • 1刘小玄.民营化改制对中国产业效率的效果分析——2001年全国普查工业数据的分析[J].经济研究,2004,39(8):16-26. 被引量:209
  • 2徐国泉,刘则渊,姜照华.中国碳排放的因素分解模型及实证分析:1995-2004[J].中国人口·资源与环境,2006,16(6):158-161. 被引量:1055
  • 3Yager R R. Families of OWA operators[J]. Fuzzy Sets and Systems, 1993,59:125-148.
  • 4Yager R R. On ordered weighted averaging aggregation operators in multicriteria decision making [J]. IEEE Transactions on Systems, Man, and Cybernetics, 1988,18 : 183-190.
  • 5Yager R R. Including importances in OWA aggregations using fuzzy systems modeling[J]. IEEE Transactions on Fuzzy Systems, 1998,6:286-294.
  • 6Xu Z S. An Overview of methods for determining OWA weights[J]. International Journal of Intelligent Systems, 2005,20:843-865.
  • 7Xu Z S. Dependent OWA operators[J].Lecture Notes in Artificial Intelligence,2006,3885,172-178.
  • 8IPCC,2006.《2006年IPCC国家温室气体清单指南》,日本全球环境战略研究所.
  • 9Ang B. W., Choi K., 1997, "Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method", Energy Journal, 18(3) ,59-73.
  • 10Ang B. W., Liu F. L., 2001, "A New Energy Decomposition Method : Perfect in Decomposition and Consistent in Aggregation", Energy, 26 (6), 537-548.

共引文献1647

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部