交通运输工程

基于超网络SBM模型的邮轮公司效率评价

  • 洪婷婷 ,
  • 匡海波 ,
  • 崔强
展开
  • (1.大连海事大学 a.综合交通运输协同创新中心;b.交通运输管理学院,辽宁 大连 116026;2.东南大学 经济管理学院,南京 211189)
洪婷婷(1993-),女,硕士生,E-mail:13967222970@163.com.

收稿日期: 2017-03-07

  修回日期: 2017-05-25

  网络出版日期: 2017-05-31

基金资助

国家自然科学基金资助项目(71271034;71672016);长江学者和创新团队发展计划(IRT13048);辽宁省高校创新团队支持计划(LT2013011);交通运输部交通软科学项目(2013-322-225-240);辽宁省高等教育内涵发展专项资金资助项目(20110117201;20110116102).

Efficiency evaluation of cruise lines based on hyper network SBM model

  • HONG Ting-ting ,
  • KUANG Hai-bo ,
  • CUI Qiang
Expand
  • (1.a.Collaborative Innovation Center for Transport Studies;1.b.Transportation Management College,Dalian Maritime University,Dalian 116026,China;2.School of Economics and Management,Southeast University, Nanjing 211189,China)

Received date: 2017-03-07

  Revised date: 2017-05-25

  Online published: 2017-05-31

摘要

将邮轮公司效率分为运营阶段效率和销售阶段效率两阶段模型,应用超网络SBM模型评价2005—2014年世界三大邮轮公司——嘉年华邮轮公司、皇家加勒比邮轮公司和云顶香港公司的总效率和分阶段效率.结果表明:2005—2014年,邮轮公司的总效率基本呈上升趋势;销售效率高于运营效率,但运营效率对总效率的影响更大.最后,从投入产出角度对邮轮公司提出相关建议.

本文引用格式

洪婷婷 , 匡海波 , 崔强 . 基于超网络SBM模型的邮轮公司效率评价[J]. 大连海事大学学报, 2017 , 43(4) : 14 -21 . DOI: 10.16411/j.cnki.issn1006-7736.2017.04.003

Abstract

In this paper, the efficiency of cruise line was divided into two stages model as operations stage and sales stage. By using the super network SBM model, the total efficiency and staged efficiency of the world’s three major cruise companies, namely, Carnival cruise lines, Royal Caribbean cruise lines and Genting Hongkong company were evaluated from 2005 to 2014. Results show that the overall efficiency of cruise companies is on the rise during 2005—2014. Sales efficiency is higher than operation efficiency, but operation efficiency has more influence on total efficiency. Finally, some recommendations from the input-output perspective are proposed.

参考文献

[1]CARNIVAL CORPORATION & PLC Annual Report, Fiscal Year 2014 [EB/OL]. (2015-01-29)[2016-07-01] .http://phx.corporate-ir.net/phoenix.zhtml?c=140690&p=irol-reportsannual.
[2]Royal Caribbean Annual Reports 2014 [EB/OL]. (2015-01-29)[2016-07-01] .http://www.rclinvestor.com/phoenix.zhtml?c=103045&p=irol-irhome.
[3]云顶香港有限公司2014年报[EB/OL]. (2015-03-19)[2016-07-01]. http://www.gentinghk.com/en/home/profile.aspx.
[4]CUI Qiang, LI Ye. Evaluating energy efficiency for airlines: an application of VFB-DEA[J]. Journal of Air Transport Management, 2015, 44-45:34-41.
[5]贾鹏, 刘瑞菊, 孙瑞萍,等. 基于BP神经网络的邮轮旅游需求预测[J]. 科研管理, 2013, 34(6):77-83.
JIA Peng, LIU Rui-ju, SUN Rui-ping, et al. A prediction model for cruise tourism demand based on BP neural network[J]. Science Research Management, 2013, 34(6): 77-83.(in Chinese)
[6]LOZANO S, GUTIRREZ E. A slacks-based network DEA efficiency analysis of European airlines[J]. Transportation Planning and Technology, 2014, 37(7):623-637.
[7]ZHU J. Airlines performance via two-stage network DEA approach[J]. Journal of Centrum Cathedra, 2011, 4(2):260-269.
[8]LU W M, WANG W K, HUNG S W, et al. The effects of corporate governance on airline performance: Production and marketing efficiency perspectives[J]. Transportation Research Part E: Logistics and Transportation Review, 2012, 48(2):529-544.
[9]殷翔宇. 基于DEA模型和Malmquist指数的邮轮企业经营效率评估[J]. 水运管理, 2013, 35(12):23-26.
YIN Xiang-yu. The efficiency assessment of cruise company management based on DEA model and Malmquist index[J]. Shipping Management, 2013, 35(12):23-26.(in Chinese)
[10]PELAEZ VERDET A, LOSCERTALES, SANCHEZ P. Algorithmic method for efficient cruise program[J]. World Academy of Science, Engineering and Technology, 2011, 5(11): 1926-1936
[11]王冠兰. 嘉年华邮轮公司市场布局与经营效益研究[D]. 上海:华东师范大学, 2009.
WANG Guan-lan. A study on market layout and operating benefits of Carnival Cruise Lines[D].Shanghai:East China Normal University, 2009.(in Chinese)
[12]杨平. 邮轮公司经营效益比较研究——以皇家加勒比和云顶香港为例[D].大连:大连海事大学, 2014.
YANG Ping.Comparison research on cruise company management benefit——The Royal Caribbean and Genting HK as an example[D]. Dalian:Dalian Maritime University, 2014.(in Chinese)
[13]VÉRONNEAU S, ROY J. Global service supply chains: an empirical study of current practices and challenges of a cruise line corporation[J]. Tourism Management, 2009, 30(1):128-139.
[14]赵鑫. 基于模糊层次分析法的邮轮公司供应链研究[D]. 大连:大连海事大学, 2014.
ZHAO Xin. Study on cruise company’s supply chain optimization based on fuzzy analytic hierarchy process[D].Dalian: Dalian Maritime University, 2014.
(in Chinese)
[15]LARSEN S, OGAARD T, BRUN W, et al. Cruise line passengers’ expenditures[C]//CAUTHE 2011: National Conference: Tourism : Creating a Brilliant Blend.RMIT Publishing, 2011.
[16]DIAKOMIHALIS M, STEFANIDAKI E, CHYTIS E. Criteria affecting the cost of a cruise company: an AHP approach company [C]//European Conference on Shipping, Intermodalism & Ports - Econship. 2015.
[17]JI L, MAZZARELLA J. Application of modified nested and dynamic class allocation models for cruise line revenue management[J]. Journal of Revenue and Pricing Management, 2007, 6(1):19-32.
[18]LI Yi-hua, MIAO Qing, WANG B X. Modeling a cruise line revenue management problem[J]. Journal of Revenue and Pricing Management, 2014, 13(3):247-260.
[19]WIE B W. A dynamic game model of strategic capacity investment in the cruise line industry[J]. Tourism Management, 2005, 26(2):203-217.
[20]CHARNES A, COOPER W W, RHODES E. Measuring the efficiency of decision making units[J]. European Journal of Operational Research, 1978, 2(6):429-444.
[21]BARROS C P, PEYPOCH N. An evaluation of European airlines’ operational performance[J]. International Journal of Production Economics, 2009, 122(2):525-533.
[22]TONE K. A slacks-based measure of efficiency in data envelopment analysis[J]. European Journal of Operational Research, 2001, 130(3):498-509.
[23]TONE K, TSUTSUI M. Network DEA: a slacks-based measure approach[J]. European Journal of Operational Research, 2009, 197(1):243-252.
[24]TONE K, TSUTSUI M. Dynamic DEA: a slacks-based measure approach[J]. Omega, 2010, 38(3-4):145-156.
[25]CUI Qiang, LI Ye. The evaluation of transportation energy efficiency: an application of three-stage virtual frontier DEA[J]. Transportation Research Part D:Transport and Environment, 2014, 29:1-11.
[26]CUI Qiang, LI Ye. An empirical study on the influencing factors of transportation carbon efficiency: evidences from fifteen countries[J]. Applied Energy, 2015, 141:209-217.
[27]LIU F H F, WANG P H. DEA Malmquist productivity measure: Taiwanese semiconductor companies[J]. International Journal of Production Economics, 2008, 112(1):367-379.
[28]CHIU Y H, CHEN Y C. The analysis of Taiwanese bank efficiency: incorporating both external environment risk and internal risk[J]. Economic Modelling, 2009, 26(2):456-463.
[29]LI Hong, FANG Kuang-nan, YANG Wei, et al. Regional environmental efficiency evaluation in China: analysis based on the super-SBM model with undesirable outputs[J]. Mathematical & Computer Modelling, 2013, 58(5-6):1018-1031.
[30]PEARSON R G, DAWSON T P, BERRY P M, et al. Species: a spatial evaluation of climate impact on the envelope of species[J]. Ecological Modelling, 2002, 154(3):289-300.
[31]CUI Qiang, KUANG Hai-bo, WU Chun-you , et al. Dynamic formation mechanism of airport competitiveness: the case of China[J]. Transportation Research Part A:Policy & Practice, 2013, 47(1):10-18.
[32]CUI Qiang, KUANG Hai-bo, WU Chun-you, et al. The changing trend and influencing factors of energy efficiency: the case of nine countries[J]. Energy, 2014, 64(1):1026-1034.

文章导航

/