Evaluating energy efficiency for airlines: An application of VFB-DEA

In this paper, the energy efficiency of airlines has been studied with number of employees, capital stock and tons of aviation kerosene as the inputs and Revenue Ton Kilometers, Revenue Passenger Kilometers, total business income and CO2 emissions decrease index as the outputs. A new model, Virtual Frontier Benevolent DEA Cross Efficiency model (VFB-DEA), is proposed to calculate the energy efficiencies of 11 airlines from 2008 to 2012. Spearman correlation coefficient is applied to validate the applicability of the new model. The results indicate that capital efficiency is an important factor in driving energy efficiency, and the American financial crisis had a significant influence on the change in energy efficiency during this period.

[1]  Patrick T. Harker,et al.  Note: Ranking DMUs with Infeasible Super-Efficiency DEA Models , 2002, Manag. Sci..

[2]  Zhongmin Yang,et al.  Energy technology patents–CO2 emissions nexus: An empirical analysis from China , 2012 .

[3]  P. Andersen,et al.  A procedure for ranking efficient units in data envelopment analysis , 1993 .

[4]  Mark Hansen,et al.  Evaluating air carrier fuel efficiency in the US airline industry , 2013 .

[5]  Bian Yi-wen DEA ranking method based upon virtual envelopment frontier and TOPSIS , 2013 .

[6]  Kankana Mukherjee,et al.  Energy use efficiency in U.S. manufacturing: A nonparametric analysis , 2008 .

[7]  Yao Chen,et al.  Measuring super-efficiency in DEA in the presence of infeasibility , 2005, Eur. J. Oper. Res..

[8]  Q. Cui,et al.  The evaluation of transportation energy efficiency: An application of three-stage virtual frontier DEA , 2014 .

[9]  M. Patterson What is energy efficiency?: Concepts, indicators and methodological issues , 1996 .

[10]  K. Palmer,et al.  Energy efficiency program evaluations: opportunities for learning and inputs to incentive mechanisms , 2010, Energy Efficiency.

[11]  Kankana Mukherjee,et al.  Energy use efficiency in the Indian manufacturing sector: An interstate analysis , 2008 .

[12]  R Beuscart,et al.  Prognostic significance of insulin-like growth factor 1 receptors in human breast cancer. , 1990, Cancer research.

[13]  Ye Li,et al.  An empirical study on the influencing factors of transportation carbon efficiency: Evidences from fifteen countries , 2015 .

[14]  M. Song,et al.  Bootstrap-DEA analysis of BRICS' energy efficiency based on small sample data , 2013 .

[15]  Tengfang Xu,et al.  A bottom-up model to estimate the energy efficiency improvement and CO2 emission reduction potentials in the Chinese iron and steel industry , 2013 .

[16]  Chris Nash,et al.  Benchmarking of train operating firms – a transaction cost efficiency analysis , 2010 .

[17]  Joe Zhu,et al.  Super-efficiency and DEA sensitivity analysis , 2001, Eur. J. Oper. Res..

[18]  Sabuj Kumar Mandal,et al.  Do undesirable output and environmental regulation matter in energy efficiency analysis? Evidence from Indian Cement Industry , 2010 .

[19]  Qiang Cui,et al.  The changing trend and influencing factors of energy efficiency: The case of nine countries , 2014 .

[20]  David A. Hensher,et al.  The impact of strategic management and fleet planning on airline efficiency – A random effects Tobit model based on DEA efficiency scores , 2011 .

[21]  Wei Zhang,et al.  China's regional energy and environmental efficiency: A DEA window analysis based dynamic evaluation , 2013, Math. Comput. Model..

[22]  Semih Önüt,et al.  Energy efficiency assessment for the Antalya Region hotels in Turkey , 2006 .

[23]  X. Xia,et al.  Industry Efficiency and Total Factor Productivity Growth under Resources and Environmental Constraint in China , 2012, TheScientificWorldJournal.

[24]  Carlos Pestana Barros,et al.  An evaluation of European airlines’ operational performance , 2009 .

[25]  A. Charnes,et al.  A structure for classifying and characterizing efficiency and inefficiency in Data Envelopment Analysis , 1991 .

[26]  G. Boyd,et al.  Estimating the linkage between energy efficiency and productivity , 2000 .

[27]  Alexis Laurent,et al.  Laparoscopic versus open left lateral hepatic lobectomy: a case-control study. , 2003, Journal of the American College of Surgeons.

[28]  Robert Lundmark,et al.  Energy efficiency and policy in Swedish pulp and paper mills: A data envelopment analysis approach , 2012 .

[29]  L. Bernstein,et al.  Industrial energy efficiency and climate change mitigation , 2009, Renewable Energy.

[30]  Jin-Li Hu,et al.  Efficient energy-saving targets for APEC economies , 2007 .

[31]  B. W. Ang,et al.  Linear programming models for measuring economy-wide energy efficiency performance , 2008 .

[32]  Ramakrishnan Ramanathan,et al.  An analysis of energy consumption and carbon dioxide emissions in countries of the Middle East and North Africa , 2005 .

[33]  A. U.S.,et al.  Measuring the efficiency of decision making units , 2003 .

[34]  J. Peter Clinch,et al.  Modelling improvements in domestic energy efficiency , 2001, Environ. Model. Softw..

[35]  Yemane Wolde-Rufael,et al.  CO2 emissions, nuclear energy, renewable energy and economic growth in the US , 2010 .

[36]  Yu-Chuan Chen,et al.  Efficiency and risk in Taiwan banking: SBM super-DEA estimation , 2011 .

[37]  Yi-Ming Wei,et al.  An empirical analysis of energy efficiency in China's iron and steel sector , 2007 .

[38]  Rodney H. Green,et al.  Efficiency and Cross-efficiency in DEA: Derivations, Meanings and Uses , 1994 .

[39]  Horace Herring,et al.  Energy efficiency—a critical view , 2006 .

[40]  Ali Azadeh,et al.  An integrated DEA PCA numerical taxonomy approach for energy efficiency assessment and consumption optimization in energy intensive manufacturing sectors , 2007 .

[41]  Peng Zhou,et al.  A survey of data envelopment analysis in energy and environmental studies , 2008, Eur. J. Oper. Res..

[42]  Ian A. Waitz,et al.  The historical fuel efficiency characteristics of regional aircraft from technological, operational, and cost perspectives , 2002 .

[43]  Liang Liang DEA cross efficiency evaluation method for competitive and cooperative decision making units , 2011 .

[44]  Peter Morrell,et al.  The potential for European aviation CO2 emissions reduction through the use of larger jet aircraft , 2009 .