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ISSN：1674-9669
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Volume 8 Issue 3
Jun.  2017
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TAN Jiyu, LIU Gaochang. Low carbon efficiency indicators and decision model of rare earths industry from the stakeholders'perspective[J]. Nonferrous Metals Science and Engineering, 2017, 8(3): 121-126. DOI: 10.13264/j.cnki.ysjskx.2017.03.021
Citation: TAN Jiyu, LIU Gaochang. Low carbon efficiency indicators and decision model of rare earths industry from the stakeholders'perspective[J]. Nonferrous Metals Science and Engineering, 2017, 8(3): 121-126. DOI: 10.13264/j.cnki.ysjskx.2017.03.021
shu

Low carbon efficiency indicators and decision model of rare earths industry from the stakeholders'perspective

  • a.

    School of Economics and Management, Jiangxi University of Science & Technology, Ganzhou 341000, China

  • b.

    Research Center of Mining Industry Development, Jiangxi University of Science & Technology, Ganzhou 341000, China

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  • Received Date: November 02, 2016
  • Published Date: June 29, 2017
    Graphical Abstract
    • Abstract
  • The stakeholders and the pattern of interests on the basis of introducing rare earth industry operation mode were analyzed. Based on the established low carbon efficiency indicators in China and beyond, the indicators were designed from the aspects of input, output, emissions, and regulation following the WBCSD eco-efficiency evaluation criterions and the low carbonization characteristic of rare earths industry. The efficiency of low-carbon industry was evaluated by using Hesitant Fuzzy Multiple Attribute Decision Making Method based on group consistency and gray correlation analysis. The results show that, among the four interest groups, the satisfaction degree of the local government is ranked the highest, next comes the rare earth enterprises, consumers the third, the central government the lowest. This decision model has the advantages of quick calculation, high reliability, and objective results.
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    • References (17)
  • [1]
    洪福艳.生态文明与中国生态治理模式创新[M].北京:中国致公出版社, 2011.
    [2]
    何跃, 王莉.我国低碳经济发展效率分析[J].统计与决策, 2012(4):157-160. http://www.cnki.com.cn/Article/CJFDTOTAL-TJJC201204046.htm
    [3]
    陈琦, 欧阳.钢铁行业低碳化发展评价指标体系及评价方法研究[J].工业技术经济, 2012, 11:124-128. doi: 10.3969/j.issn.1004-910X.2012.02.020
    [4]
    张建玲.资源､能源与环境效率[M].北京:经济科学出版社, 2010
    [5]
    邱寿丰, 诸大建.我国生态效率指标设计及应用[J].科学管理研究, 2007, 25(1): 20-24. http://www.cnki.com.cn/Article/CJFDTOTAL-KXGY200701005.htm
    [6]
    HOH H, SCHOER K, SEIBEL S. Eco-efficiency indicators in german environmental economic accounting[J]. Statistical Journal of the United Nations Economic Commission for Europe, 2002, 19:41-52. http://biblioteca.unmsm.edu.pe/redlieds/Recursos/archivos/MineriaDesarrolloSostenible/MedioAmbiente/Eco-efficiency.pdf
    [7]
    谭吉玉, 朱传喜.基于群体一致性的犹豫模糊多属性决策方法[J].运筹与管理, 2016, 25(1):105-109. http://www.cnki.com.cn/Article/CJFDTOTAL-YCGL201601015.htm
    [8]
    ZADEH A.Fuzzy sets [J]. Information and Control, 1965, 8: 338-353. doi: 10.1016/S0019-9958(65)90241-X
    [9]
    XU Z S, XIA M M.Distance and similarity measures for hesitant fuzzy sets [J].Information Sciences, 2011, 181: 2128-2138. doi: 10.1016/j.ins.2011.01.028
    [10]
    LIAO H C, XU Z S.A VIKOR-based method for hesitant fuzzy multi-criteria decision making[J]. Fuzzy Optimization and Decision Making, 2013, 12(4) : 373-392. doi: 10.1007/s10700-013-9162-0
    [11]
    FARHADINIA B.Information measeres for hesitant fuzzy sets and interval-valued hesitant fuzzy sets[J]. Information Sciences, 2013, 240: 129-144. doi: 10.1016/j.ins.2013.03.034
    [12]
    邓聚龙.灰色系统的基本方法[M].武汉:华中理工大学出版社, 1986.
    [13]
    WEI G W. GRA method for multiple attribute decision making with incomplete weight information in intuitionistic fuzzy setting[J]. Knowledge-Based Systems, 2010, 23:243-247. doi: 10.1016/j.knosys.2010.01.003
    [14]
    ZHANG S F, LIU S Y. A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection[J]. Expert Systems with Applications, 2011, 38: 11401-11405. doi: 10.1016/j.eswa.2011.03.012
    [15]
    徐泽水著.不确定多属性决策方法及应用[M].北京:清华大学出版社, 2004.
    [16]
    PARREIRAS R O, EKEL P Y, MARTINI J S C. A flexible consensus scheme for multicriteria group decision making under linguistic assessments[J]. Information Sciences, 2010, 180: 1075-1089. doi: 10.1016/j.ins.2009.11.046
    [17]
    刘高常, 谭吉玉.应急物流快速响应机制的多属性决策模型及算法[J].江西理工大学学报, 2013, 34(4):63-66. http://www.cnki.com.cn/Article/CJFDTOTAL-NFYX201304014.htm
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