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Investigating the role of cooperation in the GHG abatement costs of airlines under CNG2020 strategy via a DEA cross PAC model

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  • Li, Ye
  • Cui, Qiang

Abstract

Based on the empirical data of 28 international airlines, this paper studies the impact of airline cooperation on Greenhouse gases (GHG) abatement costs under CNG2020 strategy. We propose a Data Envelopment Analysis (DEA) Cross PAC model to discuss the differences in pollution abatement costs (PAC) between arbitrary scene and cooperation scene. The main findings are as follows: 1. Airline cooperation helps to reduce the GHG abatement costs of most airlines. 2. Star Alliance and SkyTeam Alliance can help airlines reduce GHG abatement costs, but the Oneworld cooperation is not effective. 3. The GHG abatement costs of Iberia, British Airways, TAP Portugal, Finnair, Emirates and Singapore Airlines are zero.

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  • 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.
    • Handle: RePEc:eee:energy:v:161:y:2018:i:c:p:725-736
    DOI: 10.1016/j.energy.2018.07.184
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    as
    1. Iftikhar, Yaser & Wang, Zhaohua & Zhang, Bin & Wang, Bo, 2018. "Energy and CO2 emissions efficiency of major economies: A network DEA approach," Energy, Elsevier, vol. 147(C), pages 197-207.
    2. Vaninsky, Alexander, 2018. "Energy-environmental efficiency and optimal restructuring of the global economy," Energy, Elsevier, vol. 153(C), pages 338-348.
    3. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    4. Kleymann, Birgit & Seristö, Hannu, 2001. "Levels of airline alliance membership: balancing risks and benefits," Journal of Air Transport Management, Elsevier, vol. 7(5), pages 303-310.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Jakovljević, Ivan & Mijailović, Radomir & Mirosavljević, Petar, 2018. "Carbon dioxide emission during the life cycle of turbofan aircraft," Energy, Elsevier, vol. 148(C), pages 866-875.
    7. Yang, Hongliang & Pollitt, Michael, 2010. "The necessity of distinguishing weak and strong disposability among undesirable outputs in DEA: Environmental performance of Chinese coal-fired power plants," Energy Policy, Elsevier, vol. 38(8), pages 4440-4444, August.
    8. Cui, Qiang & Li, Ye, 2015. "Evaluating energy efficiency for airlines: An application of VFB-DEA," Journal of Air Transport Management, Elsevier, vol. 44, pages 34-41.
    9. Arjomandi, Amir & Seufert, Juergen Heinz, 2014. "An evaluation of the world's major airlines' technical and environmental performance," Economic Modelling, Elsevier, vol. 41(C), pages 133-144.
    10. Guo, Xiaoying & Lu, Ching-Cheng & Lee, Jen-Hui & Chiu, Yung-Ho, 2017. "Applying the dynamic DEA model to evaluate the energy efficiency of OECD countries and China," Energy, Elsevier, vol. 134(C), pages 392-399.
    11. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    12. Malina, Robert & McConnachie, Dominic & Winchester, Niven & Wollersheim, Christoph & Paltsev, Sergey & Waitz, Ian A., 2012. "The impact of the European Union Emissions Trading Scheme on US aviation," Journal of Air Transport Management, Elsevier, vol. 19(C), pages 36-41.
    13. 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.
    14. Derigs, Ulrich & Illing, Stefan, 2013. "Does EU ETS instigate Air Cargo network reconfiguration? A model-based analysis," European Journal of Operational Research, Elsevier, vol. 225(3), pages 518-527.
    15. 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.
    16. Anger, Annela & Köhler, Jonathan, 2010. "Including aviation emissions in the EU ETS: Much ado about nothing? A review," Transport Policy, Elsevier, vol. 17(1), pages 38-46, January.
    17. Li, Ye & Wang, Yan-zhang & Cui, Qiang, 2015. "Evaluating airline efficiency: An application of Virtual Frontier Network SBM," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 1-17.
    18. Tavassoli, Mohammad & Faramarzi, Gholam Reza & Farzipoor Saen, Reza, 2014. "Efficiency and effectiveness in airline performance using a SBM-NDEA model in the presence of shared input," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 146-153.
    19. Gudmundsson, Sveinn Vidar & Rhoades, Dawna L., 2001. "Airline alliance survival analysis: typology, strategy and duration," Transport Policy, Elsevier, vol. 8(3), pages 209-218, July.
    20. 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.
    21. 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.
    22. Atakelty Hailu & Terrence S. Veeman, 2001. "Non-parametric Productivity Analysis with Undesirable Outputs: An Application to the Canadian Pulp and Paper Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 605-616.
    23. Bhadra, Dipasis, 2009. "Race to the bottom or swimming upstream: Performance analysis of US airlines," Journal of Air Transport Management, Elsevier, vol. 15(5), pages 227-235.
    24. 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.
    25. 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.
    26. Sebastián Lozano & Ester Gutiérrez, 2014. "A slacks-based network DEA efficiency analysis of European airlines," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(7), pages 623-637, October.
    27. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2007. "Environmental production functions and environmental directional distance functions," Energy, Elsevier, vol. 32(7), pages 1055-1066.
    28. Rolf Färe & Shawna Grosskopf, 2003. "Nonparametric Productivity Analysis with Undesirable Outputs: Comment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 1070-1074.
    29. Vespermann, Jan & Wald, Andreas, 2011. "Much Ado about Nothing? – An analysis of economic impacts and ecologic effects of the EU-emission trading scheme in the aviation industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(10), pages 1066-1076.
    30. Atakelty Hailu, 2003. "Nonparametric Productivity Analysis with Undesirable Outputs: Reply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 1075-1077.
    31. Wang, Wei-Kang & Lu, Wen-Min & Tsai, Chia-Jen, 2011. "The relationship between airline performance and corporate governance amongst US Listed companies," Journal of Air Transport Management, Elsevier, vol. 17(2), pages 148-152.
    32. Tsai, Wen-Hsien & Lee, Kuen-Chang & Liu, Jau-Yang & Lin, Hsiu-Ling & Chou, Yu-Wei & Lin, Sin-Jin, 2012. "A mixed activity-based costing decision model for green airline fleet planning under the constraints of the European Union Emissions Trading Scheme," Energy, Elsevier, vol. 39(1), pages 218-226.
    33. Ouellette, Pierre & Petit, Patrick & Tessier-Parent, Louis-Philippe & Vigeant, Stéphane, 2010. "Introducing regulation in the measurement of efficiency, with an application to the Canadian air carriers industry," European Journal of Operational Research, Elsevier, vol. 200(1), pages 216-226, January.
    34. Mallikarjun, Sreekanth, 2015. "Efficiency of US airlines: A strategic operating model," Journal of Air Transport Management, Elsevier, vol. 43(C), pages 46-56.
    35. Capobianco, Heloisa Márcia Pires & Fernandes, Elton, 2004. "Capital structure in the world airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(6), pages 421-434, July.
    36. 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.
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    3. Cui, Qiang & Lin, Jing-ling & Jin, Zi-yin, 2020. "Evaluating airline efficiency under “Carbon Neutral Growth from 2020” strategy through a Network Interval Slack-Based Measure," Energy, Elsevier, vol. 193(C).
    4. 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.
    5. 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.
    6. Wu, Jianxin & Ma, Chunbo & Tang, Kai, 2019. "The static and dynamic heterogeneity and determinants of marginal abatement cost of CO2 emissions in Chinese cities," Energy, Elsevier, vol. 178(C), pages 685-694.
    7. Qiu, Rui & Hou, Shuhua & Meng, Zhiyi, 2021. "Low carbon air transport development trends and policy implications based on a scientometrics-based data analysis system," Transport Policy, Elsevier, vol. 107(C), pages 1-10.

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