东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2011, Vol. 32 ›› Issue (12): 1790-1794.DOI: -

• 论著 • 上一篇    下一篇

基于循环修正思路的低碳经济评价模型研究——以秦皇岛市低碳经济评价为例

李刚;王忠东;张明;   

  1. 东北大学秦皇岛分校经济系;秦皇岛市统计局;中国矿业大学管理学院;
  • 收稿日期:2013-06-19 修回日期:2013-06-19 发布日期:2013-04-04
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    教育部人文社会科学研究青年基金资助项目(11YJC790079);教育部人文社会科学基金项目(09YJC790275,10YJC790381);教育部高等学校博士学科点新教师基金资助项目(20100095120013);;

Research on the low-carbon economy evaluation model based on circulating revision

Li, Gang (1); Wang, Zhong-Dong (2); Zhang, Ming (3)   

  1. (1) Department of Economics, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China; (2) Qinhuangdao Statistical Bureau, Qinhuangdao 066000, China; (3) School of Management, China University of Mining and Technology, Xuzhou 221116, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Li, G.
  • About author:-
  • Supported by:
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摘要： 根据科学发展观的内涵筛选指标建立低碳经济评价指标体系;通过层次分析法、标准离差、熵权法等赋权方法进行赋权,并以秦皇岛市的低碳经济为例进行评价,确定秦皇岛低碳经济评价结果排序.根据循环修正思路对不同赋权方法的评价结果排序进行修正,确定一致性排序,得到秦皇岛市低碳经济评价结果.研究结果表明:秦皇岛市低碳经济发展水平逐年提高;影响秦皇岛市低碳经济发展的主要指标有污水处理率,GDP,人均GDP,人均GDP增长速度,危险废物,生活垃圾无害化处理率,万元GDP能耗等.

关键词: 低碳经济, 评价指标体系, 循环修正, 一致性排序

Abstract: This paper, firstly, constructs an evaluation index system on low-carbon economy based on Scientific Outlook on Development. Secondly, the weight of each index is computed using AHP, standard deviation and entropy method, and then a ranking result of low-carbon economic evaluation can be obtained. Furthermore, according to circulating revision idea, the ranking result is revised based on different weighting approach and thus a consistency ranking result is determined. Finally, Qinhuangdao City is taken as an example to be analyzed using the method, and then results of low-carbon economic evaluation of Qinhuangdao are obtained. The results show that development of the Qinhuangdao low-carbon economy is increasing by years and main indicators that affect low-carbon economy development of Qinhuangdao are rate of sewage treatment, GDP, per capita GDP, per capita GDP growth rate, hazardous wastes, decontamination rate of household garbage, energy consuming per RMB 10000 of GDP and so on.

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