基于三阶段DEA的航空运输企业运营效率研究

交通运输系统工程与信息 ›› 2016, Vol. 16 ›› Issue (6): 210-215.

基于三阶段DEA的航空运输企业运营效率研究

张培文，景崇毅*，孙宏

中国民航飞行学院机场工程与运输管理学院，四川广汉618307

收稿日期:2016-05-20 修回日期:2016-07-05 出版日期:2016-12-25 发布日期:2016-12-26
作者简介:张培文（1985-），男，安徽太和人，讲师，硕士.
基金资助:
国家自然科学基金/National Natural Science Foundation of China（61179074）；中国民航飞行学院科技基金/ Science Foundation of Civil Aviation Flight University of China（J2015-32）.

Assessing Air Transportation Enterprise Efficiency Based on Three-stage DEA Model

ZHANG Pei-wen, JING Chong-yi, SUN Hong

Airport and Transportation Management School, Civil Aviation Flight University of China, Guanghan 618307, Sichuan, China

Received:2016-05-20 Revised:2016-07-05 Online:2016-12-25 Published:2016-12-26

摘要/Abstract

摘要：

鉴于航空运输企业在民航产业链中的重要地位及其对现代经济发展的重要影响，本文首次利用三阶段DEA模型对民航运输企业效率展开深入的实证研究，克服以往研究没有剔除环境因素和随机因素影响的弊端.研究发现，相对而言，国有航空极易产生资源投入的冗余或浪费，从而导致较低的运营效率，而经过环境和随机因素的调整后，两者的纯技术效率都略微上升且几乎一致，而规模效率都出现大幅下降，民营航空尤甚.说明国内航空运输企业已经具备较强的资源配置能力，而不具备行业规模经济优势，尤其是支线航空急需政策的积极引导和支持.最后给出了相关的政策建议.

关键词: 航空运输, 运营效率, 三阶段DEA, 航空运输企业, 规模效率

Abstract:

In the light of important position of air transportation enterprise in the civil aviation industry chain and its critical effect to modern economy development, the three-stage DEA model is used to study the efficiency of air transportation enterprise empirically, which overcomes the shortcomings that previous study did not eliminate environmental and stochastic factors. We find that the state-owned airlines are inclined to be less efficient because of being likely to waste resources. After adjusting environmental and stochastic factors through SFA, we find that both pure technology efficiencies have increased, while scale efficiencies have fallen substantially, and the private airlines particularly badly, which illustrates that the domestic air transportation enterprise already has strong resources allocating ability, but no scale economy advantages, especially regional aviation are urgently need to be actively guided and supported by government. Lastly, some policy proposals are put forward.

Key words: air transportation, efficiency, three-stage DEA, air transportation enterprise, scale efficiency

中图分类号:

张培文，景崇毅，孙宏. 基于三阶段DEA的航空运输企业运营效率研究[J]. 交通运输系统工程与信息, 2016, 16(6): 210-215.

ZHANG Pei-wen, JING Chong-yi, SUN Hong. Assessing Air Transportation Enterprise Efficiency Based on Three-stage DEA Model[J]. Journal of Transportation Systems Engineering and Information Technology, 2016, 16(6): 210-215.

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链接本文: http://www.tseit.org.cn/CN/abstract/abstract19324.shtml

http://www.tseit.org.cn/CN/Y2016/V16/I6/210

参考文献

[1] 中国民用航空局发展计划司. 2015 从统计看民航[M]. 北京：中国民航出版社，2015. [Development Planning Department of CAAC. 2015 Statistical Data on Civil Aviation of China[M]. Beijing: China Civil Aviation Press, 2015.]

[2] LIU Z, LYNK EL. Evidence on market structure of the deregulated US airline industry[J]. Applied Economics, 1999, 31(9): 1083-1092.

[3] OUM TH, YU C. A productivity comparison of the world’s major airlines[J]. Journal of Air Transport Management , 1995, 2(3): 181-95.

[4] COELLI T, PERELMAN S, ROMANO E. Accounting for environmental influences in stochastic frontier models: with application to international airlines[J]. Journal of Productivity Analysis, 1999, 11(3): 251-73.

[5] BARROS CP, PEYPOCH N. An evaluation of European airlines’ operational performance[J]. International Journal of Production Economics, 2009, 122(2): 525- 533.

[6] COLI EN M, RAPPOSELLI A. Efficiency evaluation in an airline company：Some empirical results[J]. Journal of Applied Sciences, 2011, 11(4): 737-742.

[7] MERKERT R, HENSHER DA. The impact of strategic management and fleet planning on airline efficiency-A random effects Tobit model based on DEA efficiency scores[J]. Transportation Research Part A: Policy and Practice, 2011, 45(7): 686-695.

[8] LOZANO S, GUTIÉRREZ E. A multiobjective approach to fleet, fuel and operating cost efficiency of European airlines[J]. Computers & Industrial Engineering, 2011, 61(3): 473-481.

[9] WU Y, HE C, CAO X. The impact of environmental variables on the efficiency of Chinese and other non- Chinese airlines[J]. Journal of Air Transport Management, 2013(29): 35-38.

[10] RAI A. Measurement of efficiency in the airline industry using data envelopement analysis[J]. Investment Management and Financial Innovations, 2013, 10(1): 38-45.

[11] FRIED, LOVELL, SCHMIDT, et al. Accounting for environmental effects and statistical noise in data envelopment analysis[J]. Journal of Productivity Analysis, 2002(17): 157-174.

[12] BARROS CP, LIANG QB, PEYPOCH N. The technical efficiency of US Airlines[J]. Transportation Research Part A: Policy and Practice, 2013(50): 139-148.

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