期刊文献+

弱关联性约束下中国试点省市碳排放权分配效率研究 被引量:10

The Distributional Efficiency of Carbon Emission Allowances among Pilot Cities in China under “Weak Dependence”
下载PDF
导出
摘要 以中国碳排放权交易试点省市为研究对象,针对碳排放权分配中"预留量"问题,提出试点省市之间"弱关联性"的定义,并建立了WD ZSG-DEA模型,评价分析了2013年中国碳排放权交易元年的碳排放权分配效率,探寻了中国碳排放权公平合理分配路径。结果显示:2013年我国七大试点省市碳排放权分配效率较高,北京、重庆、广东、深圳为第一层次,上海、湖北次之;基于"弱关联性"的WDZSG-DEA模型与传统ZSG-DEA具有相同的效率调整结果,且迭代次数较少;考虑"弱关联性"的中国碳排放权交易试点省市的均衡调整量额度可以表现碳交易市场按时履约的困难程度。最后,按照WDZSG-DEA迭代结果,得出我国试点省市碳排放权分配结果及调整路径。 With carbon emission allowances trading pilot cities in China as the research object,considering the "Reserved allowances"issue of carbon emission allowances distribution in China,this paper firstly defined the"weak dependence"among the decision making units of DEA analysis,amended the traditional ZSG-DEA model,and established WD ZSG-DEA model. And then,it evaluated and analyzed the distributional effects of Chinese carbon emission allowances in 2013. Results showed,the effect sorting of carbon emission allowances distribution in Chinese seven pilot cities of 2013 was Beijing,Chongqing,Guangzhou and Shenzhen,Shanghai and Hubei was in second. WD ZSG-DEA model has the same effects adjusting results with traditional ZSG-DEA,and iterations was less. Considering the balance adjustment quantity limit of Chinese carbon emissions trading pilot cities with " weak dependence" can show the difficulty of carbon trading market performing in time. At last,according to the WD ZSG-DEA iteration results,it calculated the carbon emission distribution results and adjustment path in pilot cities of China.
作者 王庆山 李健
出处 《软科学》 CSSCI 北大核心 2016年第3期81-84,107,共5页 Soft Science
基金 国家社会科学基金重大项目(13&ZD158) 国家社会科学基金项目(15BGL211) 教育部人文社会科学研究规划基金项目(11YJA630046) 天津市高等学校创新团队培养计划项目(TD12-5013)
关键词 分配效率 ZSG-DEA 弱关联性 the distributional efficiency ZSG-DEA weak dependence
  • 相关文献

参考文献5

二级参考文献96

  • 1陈文颖,吴宗鑫,何建坤.全球未来碳排放权“两个趋同”的分配方法[J].清华大学学报(自然科学版),2005,45(6):850-853. 被引量:96
  • 2李善同,侯永志,刘云中,何建武.中国经济增长潜力与经济增长前景分析[J].管理世界,2005,21(9):7-19. 被引量:37
  • 3高广生.气候变化与碳排放权分配[J].气候变化研究进展,2006,2(6):301-305. 被引量:24
  • 4Charnes A, Cooper W W, Rhodes E. Measuring the efficiency of decision making units[J]. European Journal of Operational Research, 1978,2(6) : 429-444.
  • 5Pittman Russell W. Multilateral productivity comparisons with undesirable outputs[J]. Economic Journal, 1983, 93:883-891.
  • 6Fare Rolf, Shawna Grosskopf, Lovell C A K, Carl Pasurka. Multilateral productivity comparisons when some outputs are undesirable: A nonparametric approach[J]. Review of Economics and Statistics,1989,71(1):90-98.
  • 7Hailu Atakelty, Terrence S Veeman. Non-Parametric productivity analysis with undesirable outputs: An application to the canadian pulp and paper industry[J]. American Journal of Agricultural Economics, 2001,83 (3): 805-816.
  • 8Seiford L M, Zhu J. Modeling undesirable factors in efficiency evaluation[J]. European Journal of Operational Research, 2002,142 : 16-20.
  • 9Scheel H. Undesirable outputs in efficiency valuations[J]. European Journal of Operational Research,2001,132:400-410.
  • 10Zhu J. Quantitative Models for Performance ,Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets and DEA Excel Solver[M]. Kluwer Academic Publishers,2003.

共引文献186

同被引文献123

引证文献10

二级引证文献110

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