Comparative efficiency analysis of major international airlines using Data Envelopment Analysis: Exploring effects of alliance membership and other operational efficiency determinants

The establishment of alliance groups during the end of 1990s has marked the beginning of an era that is characterized by increased consolidation among Full-Service Network Carriers (FSNCs). In the context of increased competition, membership in a global airline alliance group has served as the main avenue for FSNCs to maintain or increase market share and attain economic viability. Although previous literature has repeatedly stressed the enhancement of operational efficiency as a major incentive for airline alliance membership, existing research related to the assessment of comparative efficiency between allied and non-allied airlines and among alliance groups is fairly scarce. In the current paper, an integrated methodological framework employing Data Envelopment Analysis (DEA) with super-efficiency and intertemporal approach is implemented to assess the effect of alliance group membership on 30 major international airlines regarding period 2012–2016. Primary findings suggest that alliance group membership is not associated with superior airline efficiency. In addition, airlines with high freight traffic revenue share are found to be more efficient than airlines demonstrating lower freight traffic revenue share. Finally, a statistically significant superior efficiency of Asian and European air carriers over American air carriers is substantiated.

[1]  Joseph C. Paradi,et al.  Assessing Bank and Bank Branch Performance: Modeling Considerations and Approaches , 2004 .

[2]  Paul Clark Buying the Big Jets: Fleet Planning for Airlines , 2001 .

[3]  Amir Arjomandi,et al.  Evaluating airline operational performance: A Luenberger-Hicks-Moorsteen productivity indicator , 2017 .

[4]  T. Oum,et al.  AIRLINE ALLIANCES: CURRENT STATUS, POLICY ISSUES, AND FUTURE DIRECTIONS. IN: AIR TRANSPORT , 1997 .

[5]  William W. Cooper,et al.  Handbook on data envelopment analysis , 2011 .

[6]  Boon L. Lee,et al.  The Relative Efficiency of International, Domestic, and Budget Airlines: Nonparametric Evidence , 2010 .

[7]  Emmanuel Thanassoulis,et al.  Introduction to the theory and application of data envelopment analysis , 2001 .

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

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

[10]  A. Charnes,et al.  Data Envelopment Analysis Theory, Methodology and Applications , 1995 .

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

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

[13]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[14]  Marcel P. Timmer,et al.  Localized Innovation and Productivity Growth in Asia: An Intertemporal DEA Approach , 2005 .

[15]  Seong-Jong Joo,et al.  Exploring comparative efficiency and determinants of efficiency for major world airlines , 2014 .

[16]  Robert T. Hamilton,et al.  Airline alliances—who benefits? , 2002 .

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

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

[19]  Haritha Saranga,et al.  Drivers of operational efficiency and its impact on market performance in the Indian Airline industry , 2016 .

[20]  Jan K. Brueckner,et al.  European Airline Mergers, Alliance Consolidation and Consumer Welfare , 2004, SSRN Electronic Journal.

[21]  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 .

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

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

[24]  Ruwantissa Abeyratne,et al.  Aeronomics and Law: Fixing Anomalies , 2012 .

[25]  Peter S. Morrell,et al.  Moving Boxes by Air: The Economics of International Air Cargo , 2011 .

[26]  Tengfei Wang,et al.  The efficiency analysis of container port production using DEA panel data approaches , 2010, OR Spectr..

[27]  Joseph Sarkis,et al.  Preparing Your Data for DEA , 2007 .

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

[29]  Carl A. Scheraga,et al.  Operational efficiency versus financial mobility in the global airline industry: a data envelopment and Tobit analysis , 2004 .

[30]  Qiang Cui,et al.  Airline efficiency measures under CNG2020 strategy: An application of a Dynamic By-production model , 2017 .

[31]  Mark R. Greer Airline Mergers in the United States since 2005: What Impact Have They Had on Airline Efficiency? , 2016 .

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

[33]  Rajiv D. Banker,et al.  Evaluating the Impacts of Operating Strategies on Efficiency in the U.S. Airline Industry , 1994 .

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

[35]  Abraham Charnes,et al.  A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in the U.S. air forces , 1984, Ann. Oper. Res..

[36]  K. Iatrou,et al.  Airline Choices for the Future: From Alliances to Mergers , 2007 .

[37]  Hashem Omrani,et al.  Dynamic DEA models with network structure: An application for Iranian airlines , 2016 .

[38]  Sebastián Lozano,et al.  A multiobjective approach to fleet, fuel and operating cost efficiency of European airlines , 2011, Comput. Ind. Eng..

[39]  Alexander Josiassen,et al.  The operational performance of UK airlines: 2002‐2007 , 2011 .

[40]  Lucy C.S. Budd,et al.  The role of dedicated freighter aircraft in the provision of global airfreight services , 2017 .

[41]  Yaakov Roll,et al.  An application procedure for DEA , 1989 .

[42]  Qian Long Kweh,et al.  Production and Marketing Efficiencies of the U.S. Airline Industry: A Two-Stage Network DEA Approach , 2014 .

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

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

[45]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[46]  W. Cooper,et al.  Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software , 1999 .

[47]  Tae Hoon Oum,et al.  Key aspects of global strategic alliances and the impacts on the future of Canadian airline industry , 2001 .

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

[49]  Hokey Min,et al.  A comparative performance analysis of airline strategic alliances using data envelopment analysis , 2016 .

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

[51]  Jan K. Brueckner,et al.  The economics of international codesharing: an analysis of airline alliances , 2001 .

[52]  Philippe Vanden Eeckaut,et al.  Non-parametric efficiency, progress and regress measures for panel data: Methodological aspects☆ , 1995 .

[53]  C. Chow,et al.  Measuring the productivity changes of Chinese airlines : the impact of the entries of non-state-owned carriers , 2010 .

[54]  Managing Strategic Airline Alliances , 2004 .

[55]  Qian Cao,et al.  Productivity efficiency analysis of the airlines in China after deregulation , 2015 .

[56]  Miguel Ángel Pesquera,et al.  The “effect procargo” on technical and scale efficiency at airports: The case of Spanish airports (2009–2011) , 2016 .

[57]  Joe Zhu,et al.  Data envelopment analysis: Prior to choosing a model , 2014 .

[58]  Greg N. Gregoriou,et al.  Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets , 2008, The Journal of Wealth Management.

[59]  Sergey Samoilenko,et al.  Overview on Data Envelopment Analysis , 2014 .

[60]  N. Avkiran Productivity Analysis in the Service Sector with Data Envelopment Analysis , 2006 .

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

[62]  B. Golany,et al.  Using rank statistics for determining programmatic efficiency differences in data envelopment analysis , 1996 .

[63]  E. Fernandes,et al.  Malmquist financial efficiency analysis for airlines , 2012 .

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

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

[66]  Kanghwa Choi Multi-period efficiency and productivity changes in US domestic airlines , 2017 .

[67]  Pekka Korhonen,et al.  Extension of Data Envelopment Analysis with Preference Information: Value Efficiency , 2015 .

[68]  David Gillen The Evolution of Networks with Changes in Industry Structure and Strategy: Connectivity, Hub-and-Spoke and Alliances , 2005 .

[69]  Mette Asmild,et al.  Combining DEA Window Analysis with the Malmquist Index Approach in a Study of the Canadian Banking Industry , 2004 .

[70]  Nigel Dennis,et al.  INDUSTRY CONSOLIDATION AND FUTURE AIRLINE NETWORK STRUCTURES IN EUROPE , 2003 .

[71]  Graham Francis,et al.  The nature and prevalence of the use of performance measurement techniques by airlines , 2005 .

[72]  K. Button The impact of US–EU “Open Skies” agreement on airline market structures and airline networks , 2008, Journal of Air Transport Management.

[73]  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 .

[74]  John S. Liu,et al.  A survey of DEA applications , 2013 .

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

[76]  Tae Hoon Oum,et al.  GLOBALIZATION AND STRATEGIC ALLIANCES: THE CASE OF THE AIRLINE INDUSTRY , 2000 .

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

[78]  Mital C. Shingala,et al.  Comparison of Post Hoc Tests for Unequal Variance , 2015 .

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

[80]  Fariba Alamdari,et al.  Factors affecting the operational success of strategic airline alliances , 1998 .

[81]  Mark R Greer Are the discount airlines actually more efficient than the legacy carriers? : a data envelopment analysis , 2006 .

[82]  Stefan Sjögren Modeling Airline Efficiency – A Comparison of International Airlines Using Data Envelopment Analysis , 2016 .

[83]  Rico Merkert,et al.  A Non-parametric Efficiency Measure Incorporating Perceived Airline Service Levels and Profitability , 2015 .

[84]  R. Banker,et al.  An empirical study of cost drivers in the U.S. Airline Industry , 1993 .

[85]  Rico Merkert,et al.  Determinants of European PSO airline efficiency – Evidence from a semi-parametric approach , 2013 .

[86]  Ming-Miin Yu,et al.  The effects of alliances and size on airlines’ dynamic operational performance , 2017 .

[87]  Nigel Dennis Scheduling issues and network strategies for international airline alliances , 2000 .

[88]  Peter Morrell,et al.  Mergers and Acquisitions in Aviation – Management and Economic Perspectives on the Size of Airlines , 2012 .

[89]  Q. Cui,et al.  Airline efficiency measures using a Dynamic Epsilon-Based Measure model , 2017 .

[90]  Ming-Miin Yu,et al.  Performance assessment of transport services with the ERM-NDEA model: evidence from a domestic airline in Taiwan , 2012 .

[91]  Ben Vinod Practice Papers: Alliance revenue management , 2005 .

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

[93]  Joaquim Marques de Sá,et al.  Applied Statistics Using SPSS, STATISTICA, MATLAB and R , 2003 .

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

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

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

[97]  R. Ramanathan An Introduction to Data Envelopment Analysis: A Tool for Performance Measurement , 2003 .