期刊文献+

基于网络DEA改进模型的长三角机场效率研究 被引量:11

Analysis of Airport Efficiency in the Yangtze River Delta Based on an Improved Network DEA Model
下载PDF
导出
摘要 为了研究长三角机场运营效率现状并为未来如何提高效率提供理论指导,本文将非增中间变量从中间变量中分离出来,构建了具有非增中间变量的网络DEA改进模型.同时本文基于非径向非导向视角,在规模报酬可变假设下,将机场运营分为规划投入阶段和生产服务阶段,设定单位收益下的成本为非增中间变量,测算了2010年长三角16家主要机场整体运营效率、规划投入效率与生产服务效率.研究结果表明,与传统DEA和自由中间变量的网络DEA模型相比,具有非增中间变量网络DEA模型更具合理性.最后,基于对新建、改扩建机场和已建机场效率及各变量松弛量分析,提出了针对性的机场效率改善建议. In order to investigate the status quo of efficiency of airports in the Yangtze River Delta,and provide a theoretical guidance in improving efficiency in the future,the non-increasing intermediate variables are separated from the intermediate variables.An improved network SBM-DEA model is constructed with non-increasing intermediate variables.By setting the cost of unit revenue as an intermediate variable,from the non-radial and non-oriented perspective,this paper analyzes the airport operation from two stages,namely,planning stage and production stage on the assumption of variable returns to scale.It also calculates the overall operational efficiency,planning efficiency and production efficiency of the main airports in Yangtze River Delta in 2010.The results show that the network DEA model with non-increasing intermediate variables is more reasonable than either a traditional DEA model or a free intermediate variable network DEA model.Furthermore,concerning a newly-built airport or a reconstructed airport and an already-existing airport,their respective efficiency and slacks of all variables are measured,and specific opinions and suggestions are provided for improvement.
出处 《交通运输系统工程与信息》 EI CSCD 北大核心 2014年第1期88-94,共7页 Journal of Transportation Systems Engineering and Information Technology
基金 国家自然科学基金青年基金项目(71103034) 江苏省自然科学基金面上资助项目(BK2011084)
关键词 航空运输 非增中间变量 基于松弛的网络DEA 长三角机场 机场规划投入效率 机场生产服务效率 air transportation Non-increasing intermediate variable slacks-based measure network DEA Airports in the Yangtze River Delta Airport' Efficiency of planning Airports' Efficiency of production
  • 相关文献

参考文献13

  • 1Gillen D, Lall A. Developing measures of airport productivity and performance: An application of data envelopment analysis [ J ]. Transportation Research Part E, 1997(4) : 121-125.
  • 2Joseph Sarkis. An analysis of the operational efficiency of major airports in the United States [ J ]. Journal of Operations Management, 2000(18) :335 - 351.
  • 3Fernandes E. Efficient use of airport capacity [ J ]. TranspnRes. A,2002, 36 (12) : 225-238.
  • 4Ricardo Rodrigues Pacheco, Elton Fernandes, Marcio Peixoto de Sequeira Santos. Management style and airport performance in Brazil [ J ]. Journal of Air Transport Management. 2006, (12):324-330.
  • 5都业富,朱新华,冯敏.DEA方法在中国民用机场评价中的应用研究[J].中国民航学院学报,2006,24(6):46-49. 被引量:21
  • 6任新惠,孙启玲.基于DEA的长三角与珠三角地区机场运营效率对比分析[J].交通企业管理,2011,26(12):60-62. 被引量:8
  • 7Baocheng Zhang, Jianzhong Wang, Changyou Liu, et al. Evaluating the technical efficiency of Chinese airport airside activities [ J ]. Journal of Air Transport Management 2012(20) : 23-27.
  • 8褚衍昌.机场运营效率评价与改善研究[D].天津大学,2010.
  • 9Tone K. A slacks-based measure of efficiency in data envelopment analysis [ J ]. European Journal of Operational Research , 2001 (130) : 498-509.
  • 10Lam SW, Low JMW, Tang LC. Operational efficiencies across Asia Pacific airports [ J ]. Transportation Research Part E : Logistics and Transportation Review,2009, 45 (4) : 654-665.

二级参考文献8

  • 1李琪,李光泉,韩泽县.我国商业银行效率评价的DEA模型[J].天津大学学报(社会科学版),2005,7(1):6-10. 被引量:21
  • 2DAVID G.Developing measures of airport productivity and performance:an application of data envelopment analysis[J].Transpn Res E,1997,33:261-273.
  • 3JOSEPH S.An analysis of the operational efficiency of major airports in the United States[J].Journal of Operations Management,2000,18:335-351.
  • 4PELS E.Inefficiencies and scale economies of European airport operations[J].Transpn Res E,2003,39:341-361.
  • 5FERNANDES E.Efficient use of airport capacity[J].Transpn Res A,2002,36:225-238.
  • 6BAZARGAN M.Size versus efficiency:a case study of us commercial airports[J].Journal of Air Transport Management,2003,9:187-193.
  • 7JOSEPH S.Performance based clustering for benchmarking of US airports[J].Transpn Res A,2004,38:329-346.
  • 8中国民航总局规划财务司.中国民航统计年鉴[Z].北京:中国民航总局规划财务司,2005.

共引文献25

同被引文献126

引证文献11

二级引证文献69

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