Has airline efficiency affected by the inclusion of aviation into European Union Emission Trading Scheme? Evidences from 22 airlines during 2008–2012

We investigate the impacts of including aviation into European Union Emission Trading Scheme on airline efficiency since 2008. Airline efficiency is divided into three stages: Operations Stage, Services Stage and Sales Stage, and Greenhouse Gases Emission is treated as an undesirable output of Services Stage. Two models, Network Slacks-Based Measure with weak disposability and Network Slacks-Based Measure with strong disposability, are established to evaluate the efficiencies of 22 international airlines from 2008 to 2012. The results show that: (1) Most airlines' efficiencies have increased in the period. (2) The average efficiency of European airlines is much higher than that of non-European airlines. (3) The model with weak disposability is more reasonable in distinguishing the airline efficiency while strong disposability is a more reasonable way in treating undesirable outputs.

[1]  Wen-Hsien Tsai,et al.  A mixed activity-based costing decision model for green airline fleet planning under the constraints of the European Union Emissions Trading Scheme , 2012 .

[2]  Alexander Josiassen,et al.  European vs. U.S. airlines: Performance comparison in a dynamic market , 2012 .

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

[4]  Peter Wanke,et al.  An analysis of Asian airlines efficiency with two-stage TOPSIS and MCMC generalized linear mixed models , 2015 .

[5]  Andreas Wald,et al.  Much Ado about Nothing? – An analysis of economic impacts and ecologic effects of the EU-emission trading scheme in the aviation industry , 2011 .

[6]  R. Sickles,et al.  The Relationship Between Stock Market Returns and Technical Efficiency Innovations: Evidence from the US Airline Industry , 1998 .

[7]  M. Shekarchian,et al.  Energy and exergy utilization efficiencies and emission performance of Canadian transportation sector, 1990-2035 , 2014 .

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

[9]  T. Dawson,et al.  SPECIES: A Spatial Evaluation of Climate Impact on the Envelope of Species , 2002 .

[10]  Qiang Cui,et al.  Evaluating energy efficiency for airlines: An application of VFB-DEA , 2015 .

[11]  Wolfgang Grimme,et al.  The inclusion of aviation into the EU emission trading scheme – Impacts on competition between European and non-European network airlines , 2010 .

[12]  C.A.K. Lovell,et al.  Multilateral Productivity Comparisons When Some Outputs are Undesirable: A Nonparametric Approach , 1989 .

[13]  Rolf Färe,et al.  Nonparametric Productivity Analysis with Undesirable Outputs: Comment , 2003 .

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

[15]  Dipasis Bhadra,et al.  Race to the bottom or swimming upstream: Performance analysis of US airlines , 2008, Journal of Air Transport Management.

[16]  M. Cropper,et al.  Environmental Economics: A Survey , 1992 .

[17]  Andrew C. Worthington,et al.  Technical efficiency of mainstream airlines and low-cost carriers : New evidence using bootstrap data envelopment analysis truncated regression , 2014 .

[18]  Jin-Li Hu,et al.  Renewable energy and macroeconomic efficiency of OECD and non-OECD economies , 2007 .

[19]  M. Schefczyk Operational performance of airlines: An extension of traditional measurement paradigms , 1993 .

[20]  Jonathan Köhler,et al.  Including aviation emissions in the EU ETS: Much ado about nothing? A review , 2010 .

[21]  A. Assaf,et al.  Are U.S. airlines really in crisis , 2009 .

[22]  Michael G. Pollitt,et al.  The necessity of distinguishing weak and strong disposability among undesirable outputs in DEA: Environmental performance of Chinese coal-fired power plants , 2010 .

[23]  Paul W. Bauer,et al.  Decomposing TFP growth in the presence of cost inefficiency, nonconstant returns to scale, and technological progress , 1990 .

[24]  Yi-Ming Wei,et al.  An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect , 2010 .

[25]  Elton Fernandes,et al.  CAPITAL STRUCTURE IN THE WORLD AIRLINE INDUSTRY , 2004 .

[26]  Meryem Duygun Fethi,et al.  European airlines: a stochastic DEA study of efficiency with market liberalisation , 2001 .

[27]  Peter Morrell An evaluation of possible EU air transport emissions trading scheme allocation methods , 2007 .

[28]  L. R. Christensen,et al.  Economies of Density versus Economies of Scale: Why Trunk and Local Service Airline Costs Differ , 1984 .

[29]  Patrick Petit,et al.  Introducing regulation in the measurement of efficiency, with an application to the Canadian air carriers industry , 2010, Eur. J. Oper. Res..

[30]  Meryem Duygun Fethi,et al.  Measuring the efficiency of European airlines: an application of DEA and Tobit Analysis , 2000 .

[31]  Kaoru Tone,et al.  A slacks-based measure of super-efficiency in data envelopment analysis , 2001, Eur. J. Oper. Res..

[32]  Georgina Santos,et al.  Using Economic Instruments to Address Emissions from Air Transport in the European Union , 2008 .

[33]  David S. Lee,et al.  Aviation radiative forcing in 2000: an update on IPCC (1999) , 2005 .

[34]  Carl A. Scheraga,et al.  The relationship between operational efficiency and customer service: a global study of thirty-eight large international airlines , 2004 .

[35]  Sebastián Lozano,et al.  A slacks-based network DEA efficiency analysis of European airlines , 2014 .

[36]  Atakelty Hailu,et al.  Nonparametric Productivity Analysis with Undesirable Outputs: Reply , 2003 .

[37]  R. Malina,et al.  The impact of the European Union Emissions Trading Scheme on US aviation , 2011 .

[38]  P. Schmidt,et al.  Production Frontiers and Panel Data , 1984 .

[39]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[40]  Kaoru Tone,et al.  Network DEA: A slacks-based measure approach , 2009, Eur. J. Oper. Res..

[41]  Sergio Perelman,et al.  Technical Efficiency and Productivity Growth in an Era of Deregulation: the Case of Airlines , 1994 .

[42]  Seock-Jin Hong,et al.  An efficiency study of airlines and air cargo/passenger divisions: a DEA approach , 2010 .

[43]  C. Barros,et al.  An analysis of African airlines efficiency with two-stage TOPSIS and neural networks , 2015 .

[44]  Carlos Pestana Barros,et al.  The technical efficiency of US Airlines , 2013 .

[45]  Yu-Chiun Chiou,et al.  Route-based performance evaluation of Taiwanese domestic airlines using data envelopment analysis , 2006 .

[46]  Jati K. Sengupta,et al.  A dynamic efficiency model using data envelopment analysis , 1999 .

[47]  Young-Tae Chang,et al.  Evaluating economic and environmental efficiency of global airlines: A SBM-DEA approach , 2014 .

[48]  Robin C. Sickles,et al.  Time Series Analysis of Deregulatory Dynamics and Technical Efficiency: The Case of the U.S. Airline Industry , 2000 .

[49]  Q. Cui,et al.  Dynamic formation mechanism of airport competitiveness: The case of China , 2013 .

[50]  A. Hailu,et al.  Non‐Parametric Productivity Analysis with Undesirable Outputs: An Application to the Canadian Pulp and Paper Industry , 2001 .

[51]  Reza Farzipoor Saen,et al.  Efficiency and effectiveness in airline performance using a SBM-NDEA model in the presence of shared input , 2014 .

[52]  Andrew Macintosh,et al.  International aviation emissions to 2025: Can emissions be stabilised without restricting demand? , 2008, Energy Policy.

[53]  Ulrich Derigs,et al.  Does EU ETS instigate Air Cargo network reconfiguration? A model-based analysis , 2013, Eur. J. Oper. Res..

[54]  Tae Hoon Oum,et al.  New evidences on airline efficiency and yields: a comparative analysis of major North American air carriers and its implications , 2005 .

[55]  Zhiqiang Liu,et al.  Productivity Growth and Firm Ownership: An Analytical and Empirical Investigation , 1994, Journal of Political Economy.

[56]  Mark R. Greer,et al.  Is it the labor unions’ fault? Dissecting the causes of the impaired technical efficiencies of the legacy carriers in the United States , 2009 .

[57]  Mark R. Greer Nothing focuses the mind on productivity quite like the fear of liquidation: Changes in airline productivity in the United States, 2000-2004 , 2008 .

[58]  Lars-Hendrik Röller,et al.  Efficiency and productivity growth comparisons of European and U.S. Air carriers: A first look at the data , 1993 .

[59]  Wen-Min Lu,et al.  The effects of corporate governance on airline performance: Production and marketing efficiency perspectives , 2012 .

[60]  Badi H. Baltagi,et al.  Airline Deregulation: The Cost Pieces of the Puzzle , 1995 .

[61]  Qiang Cui,et al.  Evaluating airline efficiency: An application of Virtual Frontier Network SBM , 2015 .

[62]  A. Anger,et al.  Including aviation in the European emissions trading scheme: Impacts on the industry, CO2 emissions and macroeconomic activity in the EU , 2010 .

[63]  Tae Hoon Oum,et al.  COST COMPETITIVENESS OF MAJOR AIRLINES: AN INTERNATIONAL COMPARISON , 1998 .

[64]  Chenjie Yu,et al.  A PRODUCTIVITY COMPARISON OF THE WORLD'S MAJOR AIRLINES. IN: AIR TRANSPORT , 1995 .

[65]  Ming Zhang,et al.  Energy and exergy efficiencies in the Chinese transportation sector, 1980–2009 , 2011 .

[66]  Nawal K. Taneja,et al.  Airline productivity redefined: An analysis of U.S. and European carriers , 1979 .

[67]  Robin C. Sickles,et al.  Specification of Distance Functions Using Semi- and Nonparametric Methods with an Application to the Dynamic Performance of Eastern and Western European Air Carriers , 2002 .

[68]  Subhash C. Ray,et al.  DECOMPOSITION OF THE FISHER IDEAL INDEX OF PRODUCTIVITY: A NON-PARAMETRIC DUAL ANALYSIS OF US AIRLINES DATA* , 1996 .

[69]  F. Kopsch,et al.  Aviation and the EU Emissions Trading Scheme—Lessons learned from previous emissions trading schemes , 2012 .

[70]  Carlos Pestana Barros,et al.  Productivity analysis of European airlines, 2000–2011 , 2013 .

[71]  Sascha Albers,et al.  Will the EU-ETS instigate airline network reconfigurations? , 2009 .

[72]  S. Mallikarjun Efficiency of US airlines: A strategic operating model , 2015 .

[73]  Nikos Tsikriktsis,et al.  The Impact of Process Variation on Customer Dissatisfaction: Evidence from the U.S. Domestic Airline Industry , 2004, Decis. Sci..

[74]  Maria Cristina N. Gramani,et al.  Efficiency decomposition approach: A cross-country airline analysis , 2012, Expert Syst. Appl..

[75]  K. Buhr,et al.  The Inclusion of Aviation in the EU Emissions Trading Scheme: Temporal Conditions for Institutional Entrepreneurship , 2012 .

[76]  Wann-Yih Wu,et al.  A balanced scorecard envelopment approach to assess airlines' performance , 2014, Ind. Manag. Data Syst..

[77]  Robin C. Sickles,et al.  Airline efficiency differences between Europe and the US: Implications for the pace of EC integration and domestic regulation , 1995 .

[78]  Joe Zhu,et al.  Airlines Performance via Two-Stage Network DEA Approach , 2011 .

[79]  Amir Arjomandi,et al.  An evaluation of the world's major airlines' technical and environmental performance , 2014 .

[80]  Pablo Coto-Millán,et al.  Liberalisation and efficiency in international air transport , 2006 .

[81]  Álvaro Costa,et al.  Airlines performance in the new market context: A comparative productivity and efficiency analysis. , 2008 .

[82]  Toshiyuki Sueyoshi,et al.  Weak and strong disposability vs. natural and managerial disposability in DEA environmental assessment: Comparison between Japanese electric power industry and manufacturing industries , 2012 .

[83]  Wen-Min Lu,et al.  The relationship between airline performance and corporate governance amongst US Listed companies , 2011 .

[84]  K. Tone,et al.  Dynamic DEA: A slacks-based measure approach , 2010 .

[85]  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 .

[86]  Qiang Cui,et al.  The change trend and influencing factors of civil aviation safety efficiency: The case of Chinese airline companies , 2015 .

[87]  P. Schmidt,et al.  Production frontiers with cross-sectional and time-series variation in efficiency levels , 1990 .

[88]  David L. Olson,et al.  Service quality and productivity in the U.S. airline industry: a service quality-adjusted DEA model , 2015 .

[89]  T. Coelli,et al.  Accounting for Environmental Influences in Stochastic Frontier Models: With Application to International Airlines , 1999 .