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Evaluating airline efficiency: An application of Virtual Frontier Network SBM

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  1. Khezrimotlagh, Dariush & Kaffash, Sepideh & Zhu, Joe, 2022. "U.S. airline mergers’ performance and productivity change," Journal of Air Transport Management, Elsevier, vol. 102(C).
  2. Seufert, Juergen Heinz & Arjomandi, Amir & Dakpo, K. Hervé, 2017. "Evaluating airline operational performance: A Luenberger-Hicks-Moorsteen productivity indicator," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 52-68.
  3. Arjomandi, Amir & Dakpo, K. Hervé & Seufert, Juergen Heinz, 2018. "Have Asian airlines caught up with European Airlines? A by-production efficiency analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 389-403.
  4. Cui, Qiang & Arjomandi, Amir, 2021. "Airline energy efficiency measures based on an epsilon-based Range-Adjusted Measure model," Energy, Elsevier, vol. 217(C).
  5. Li, Ye & Wang, Yan-zhang & Cui, Qiang, 2016. "Has airline efficiency affected by the inclusion of aviation into European Union Emission Trading Scheme? Evidences from 22 airlines during 2008–2012," Energy, Elsevier, vol. 96(C), pages 8-22.
  6. Wanke, Peter & Barros, C.P., 2016. "Efficiency in Latin American airlines: A two-stage approach combining Virtual Frontier Dynamic DEA and Simplex Regression," Journal of Air Transport Management, Elsevier, vol. 54(C), pages 93-103.
  7. Hashem Omrani & Khatereh Shafaat & Arash Alizadeh, 2019. "Integrated data envelopment analysis and cooperative game for evaluating energy efficiency of transportation sector: a case of Iran," Annals of Operations Research, Springer, vol. 274(1), pages 471-499, March.
  8. Barak, Sasan & Dahooei, Jalil Heidary, 2018. "A novel hybrid fuzzy DEA-Fuzzy MADM method for airlines safety evaluation," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 134-149.
  9. Yu, Ming-Miin & Nguyen, Minh-Anh Thi, 2023. "Productivity changes of Asia-Pacific airlines: A Malmquist productivity index approach for a two-stage dynamic system," Omega, Elsevier, vol. 115(C).
  10. Wang, Chia-Nan & Nguyen, Xuan-Tho & Le, Thi-Dao & Hsueh, Ming-Hsien, 2018. "A partner selection approach for strategic alliance in the global aerospace and defense industry," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 190-204.
  11. Chen, Zhongfei & Tzeremes, Panayiotis & Tzeremes, Nickolaos G., 2018. "Convergence in the Chinese airline industry: A Malmquist productivity analysis," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 77-86.
  12. Liu, Dan & Zhang, Jiahuang & Yu, Ming-Miin, 2023. "Decomposing airline profit inefficiency in NDEA through the non-competitive Nerlovian profit inefficiency model," Journal of Air Transport Management, Elsevier, vol. 107(C).
  13. Chyan Yang & Tung-Pao Wang, 2016. "Productivity comparison of European airlines: bootstrapping Malmquist indices," Applied Economics, Taylor & Francis Journals, vol. 48(52), pages 5106-5116, November.
  14. Gudiel Pineda, Pedro Jose & Liou, James J.H. & Hsu, Chao-Che & Chuang, Yen-Ching, 2018. "An integrated MCDM model for improving airline operational and financial performance," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 103-117.
  15. Cui, Qiang & Wei, Yi-Ming & Li, Ye, 2016. "Exploring the impacts of the EU ETS emission limits on airline performance via the Dynamic Environmental DEA approach," Applied Energy, Elsevier, vol. 183(C), pages 984-994.
  16. Ming-Miin Yu & Li-Hsueh Chen, 2020. "A meta-frontier network data envelopment analysis approach for the measurement of technological bias with network production structure," Annals of Operations Research, Springer, vol. 287(1), pages 495-514, April.
  17. Cui, Qiang & Li, Ye & Yu, Chen-lu & Wei, Yi-Ming, 2016. "Evaluating energy efficiency for airlines: An application of Virtual Frontier Dynamic Slacks Based Measure," Energy, Elsevier, vol. 113(C), pages 1231-1240.
  18. Kottas, Angelos T. & Madas, Michael A., 2018. "Comparative efficiency analysis of major international airlines using Data Envelopment Analysis: Exploring effects of alliance membership and other operational efficiency determinants," Journal of Air Transport Management, Elsevier, vol. 70(C), pages 1-17.
  19. Choi, Kanghwa, 2017. "Multi-period efficiency and productivity changes in US domestic airlines," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 18-25.
  20. Li, Ye & Cui, Qiang, 2018. "Airline efficiency with optimal employee allocation: An Input-shared Network Range Adjusted Measure," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 150-162.
  21. Cui, Qiang & Li, Ye, 2017. "Airline efficiency measures under CNG2020 strategy: An application of a Dynamic By-production model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 130-143.
  22. Cui, Qiang & Li, Xin-yi, 2021. "Investigating the Profit Pollution Abatement Costs difference before and after the “Carbon neutral growth from 2020” strategy was proposed," Research in Transportation Economics, Elsevier, vol. 90(C).
  23. Yakath Ali, Nurul Syuhadah & Yu, Chunyan & See, Kok Fong, 2021. "Four decades of airline productivity and efficiency studies: A review and bibliometric analysis," Journal of Air Transport Management, Elsevier, vol. 96(C).
  24. Heydari, Chiman & Omrani, Hashem & Taghizadeh, Rahim, 2020. "A fully fuzzy network DEA-Range Adjusted Measure model for evaluating airlines efficiency: A case of Iran," Journal of Air Transport Management, Elsevier, vol. 89(C).
  25. Qu, Jingjing & Wang, Baohui & Liu, Xiaohong, 2022. "A modified super-efficiency network data envelopment analysis: Assessing regional sustainability performance in China," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
  26. Li, Ye & Cui, Qiang, 2017. "Carbon neutral growth from 2020 strategy and airline environmental inefficiency: A Network Range Adjusted Environmental Data Envelopment Analysis," Applied Energy, Elsevier, vol. 199(C), pages 13-24.
  27. Xu, Xin & Cui, Qiang, 2017. "Evaluating airline energy efficiency: An integrated approach with Network Epsilon-based Measure and Network Slacks-based Measure," Energy, Elsevier, vol. 122(C), pages 274-286.
  28. Losa, Eduardo Tola & Arjomandi, Amir & Hervé Dakpo, K. & Bloomfield, Jason, 2020. "Efficiency comparison of airline groups in Annex 1 and non-Annex 1 countries: A dynamic network DEA approach," Transport Policy, Elsevier, vol. 99(C), pages 163-174.
  29. Bourjade, Sylvain & Huc, Regis & Muller-Vibes, Catherine, 2017. "Leasing and profitability: Empirical evidence from the airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 30-46.
  30. Cui, Qiang & Li, Ye, 2020. "A cross efficiency distinguishing method to explore the cooperation degree in dynamic airline environmental efficiency," Transport Policy, Elsevier, vol. 99(C), pages 31-43.
  31. Cui, Qiang & Li, Ye, 2017. "Airline efficiency measures using a Dynamic Epsilon-Based Measure model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 121-134.
  32. Cui, Qiang & Li, Ye & Wei, Yi-Ming, 2017. "Exploring the impacts of EU ETS on the pollution abatement costs of European airlines: An application of Network Environmental Production Function," Transport Policy, Elsevier, vol. 60(C), pages 131-142.
  33. Cui, Qiang, 2019. "Investigating the airlines emission reduction through carbon trading under CNG2020 strategy via a Network Weak Disposability DEA," Energy, Elsevier, vol. 180(C), pages 763-771.
  34. Cui, Qiang & Jin, Zi-yin, 2020. "Airline environmental efficiency measures considering negative data: An application of a modified network Modified Slacks-based measure model," Energy, Elsevier, vol. 207(C).
  35. Ming-Fu Hsu & Ying-Shao Hsin & Fu-Jiing Shiue, 2022. "Business analytics for corporate risk management and performance improvement," Annals of Operations Research, Springer, vol. 315(2), pages 629-669, August.
  36. Ying Li & Tai‐Yu Lin & Yung‐ho Chiu & Shu‐Ning Lin & Tzu‐Han Chang, 2021. "Impact of alliances and delay rate on airline performance," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(6), pages 1607-1618, September.
  37. Barros, C.P. & Wanke, Peter & Dumbo, Silvestre & Manso, Jose Pires, 2017. "Efficiency in angolan hydro-electric power station: A two-stage virtual frontier dynamic DEA and simplex regression approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 588-596.
  38. Li, Ye & Cui, Qiang, 2018. "Investigating the role of cooperation in the GHG abatement costs of airlines under CNG2020 strategy via a DEA cross PAC model," Energy, Elsevier, vol. 161(C), pages 725-736.
  39. Cui, Qiang & Li, Ye & Lin, Jing-ling, 2018. "Pollution abatement costs change decomposition for airlines: An analysis from a dynamic perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 96-107.
  40. Hong, Seock-Jin & Kim, Woongyi & Niranjan, Suman, 2023. "Challenges to the air cargo business of combination carriers: Analysis of two major Korean Airlines," Journal of Air Transport Management, Elsevier, vol. 108(C).
  41. Chang, Young-Tae & (Kevin) Park, Hyosoo & Zou, Bo & Kafle, Nabin, 2016. "Passenger facility charge vs. airport improvement program funds: A dynamic network DEA analysis for U.S. airport financing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 88(C), pages 76-93.
  42. Yu, Ming-Miin & Chang, Yu-Chun & Chen, Li-Hsueh, 2016. "Measurement of airlines’ capacity utilization and cost gap: Evidence from low-cost carriers," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 186-198.
  43. Shao, Yanmin & Sun, Changfu, 2016. "Performance evaluation of China's air routes based on network data envelopment analysis approach," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 67-75.
  44. Chen, Zhongfei & Wanke, Peter & Antunes, Jorge Junio Moreira & Zhang, Ning, 2017. "Chinese airline efficiency under CO2 emissions and flight delays: A stochastic network DEA model," Energy Economics, Elsevier, vol. 68(C), pages 89-108.
  45. Yu, Ming-Miin & Chen, Li-Hsueh & Chiang, Hui, 2017. "The effects of alliances and size on airlines’ dynamic operational performance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 197-214.
  46. Usman Akbar & József Popp & Hameed Khan & Muhammad Asif Khan & Judit Oláh, 2020. "Energy Efficiency in Transportation along with the Belt and Road Countries," Energies, MDPI, vol. 13(10), pages 1-20, May.
  47. Ye Li & Qiang Cui, 2017. "Airline energy efficiency measures using the Virtual Frontier Network RAM with weak disposability," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(4), pages 479-504, May.
  48. Joe Zhu, 2022. "DEA under big data: data enabled analytics and network data envelopment analysis," Annals of Operations Research, Springer, vol. 309(2), pages 761-783, February.
  49. Balliauw, Matteo & Meersman, Hilde & Onghena, Evy & Van de Voorde, Eddy, 2018. "US all-cargo carriers’ cost structure and efficiency: A stochastic frontier analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 112(C), pages 29-45.
  50. Mahmoudabadi, Mohammad Zarei & Azar, Adel & Emrouznejad, Ali, 2018. "A novel multilevel network slacks-based measure with an application in electric utility companies," Energy, Elsevier, vol. 158(C), pages 1120-1129.
  51. Cui, Qiang & Li, Ye, 2018. "Airline dynamic efficiency measures with a Dynamic RAM with unified natural & managerial disposability," Energy Economics, Elsevier, vol. 75(C), pages 534-546.
  52. Cui, Qiang, 2021. "A data-based comparison of the five undesirable output disposability approaches in airline environmental efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
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