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A comparative study of airline efficiency in China and India: A dynamic network DEA approach

Author

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  • Yu, Hang
  • Zhang, Yahua
  • Zhang, Anming
  • Wang, Kun
  • Cui, Qiang

Abstract

Using a dynamic network DEA approach, this research examines the efficiency performance of major Chinese and Indian air carriers with a consideration of the airline's internal processes and links as well as the carry-over items that connect consecutive time periods. It is found that two low-cost carriers (LCCs), namely, China's Spring and India's SpiceJet were the most efficient carriers during the period between 2008 and 2015. China's three state-owned airlines performed poorly in both the capacity generation and service stages, particularly the latter. The second-stage regression results confirm that the LCC model and private ownership are significantly associated with better airline efficiency performance. This paper thus calls for continual reforms in China's air transport including further privatisation and policy support for LCCs and private carriers to improve the overall efficiency of this industry.

Suggested Citation

  • Yu, Hang & Zhang, Yahua & Zhang, Anming & Wang, Kun & Cui, Qiang, 2019. "A comparative study of airline efficiency in China and India: A dynamic network DEA approach," Research in Transportation Economics, Elsevier, vol. 76(C).
  • Handle: RePEc:eee:retrec:v:76:y:2019:i:c:s0739885919302586
    DOI: 10.1016/j.retrec.2019.100746
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    as
    1. Fare, Rolf & Grosskopf, Shawna, 1996. "Productivity and intermediate products: A frontier approach," Economics Letters, Elsevier, vol. 50(1), pages 65-70, January.
    2. Merkert, Rico & Assaf, A. George, 2015. "Using DEA models to jointly estimate service quality perception and profitability – Evidence from international airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 42-50.
    3. Rolf Färe & Shawna Grosskopf & Gerald Whittaker, 2014. "Network DEA II," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 307-327, Springer.
    4. Tsionas, Mike G. & Chen, Zhongfei & Wanke, Peter, 2017. "A structural vector autoregressive model of technical efficiency and delays with an application to Chinese airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 1-10.
    5. Pointon, Charlotte & Matthews, Kent, 2016. "Dynamic efficiency in the English and Welsh water and sewerage industry," Omega, Elsevier, vol. 58(C), pages 86-96.
    6. Ng, Charles K & Seabright, Paul, 2001. "Competition, Privatisation and Productive Efficiency: Evidence from the Airline Industry," Economic Journal, Royal Economic Society, vol. 111(473), pages 591-619, July.
    7. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    8. Wang, Kun & Zhang, Anming & Zhang, Yahua, 2018. "Key determinants of airline pricing and air travel demand in China and India: Policy, ownership, and LCC competition," Transport Policy, Elsevier, vol. 63(C), pages 80-89.
    9. Rajagopalan, Nandini & Zhang, Yan, 2008. "Corporate governance reforms in China and India: Challenges and opportunities," Business Horizons, Elsevier, vol. 51(1), pages 55-64.
    10. 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.
    11. Kaoru Tone & Miki Tsutsui, 2014. "Slacks-Based Network DEA," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 231-259, Springer.
    12. Saranga, Haritha & Nagpal, Rajiv, 2016. "Drivers of operational efficiency and its impact on market performance in the Indian Airline industry," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 165-176.
    13. Qian Sun & Wilson H. S. Tong & Jing Tong, 2002. "How Does Government Ownership Affect Firm Performance? Evidence from China’s Privatization Experience," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 29(1‐2), pages 1-27.
    14. Zhang, Anming & Zhang, Yimin & Zhao, Ronald, 2001. "Impact of Ownership and Competition on the Productivity of Chinese Enterprises," Journal of Comparative Economics, Elsevier, vol. 29(2), pages 327-346, June.
    15. Duygun, Meryem & Prior, Diego & Shaban, Mohamed & Tortosa-Ausina, Emili, 2016. "Disentangling the European airlines efficiency puzzle: A network data envelopment analysis approach," Omega, Elsevier, vol. 60(C), pages 2-14.
    16. Che, Jiahua & Qian, Yingyi, 1998. "Institutional Environment, Community Government, and Corporate Governance: Understanding China's Township-Village Enterprises," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 14(1), pages 1-23, April.
    17. Barros, Carlos Pestana & Peypoch, Nicolas, 2009. "An evaluation of European airlines' operational performance," International Journal of Production Economics, Elsevier, vol. 122(2), pages 525-533, December.
    18. Pointon, Charlotte & Matthews, Kent, 2016. "Reprint of: Dynamic efficiency in the English and Welsh water and sewerage industry," Omega, Elsevier, vol. 60(C), pages 98-108.
    19. María Manuela González & Lourdes Trujillo, 2009. "Efficiency Measurement in the Port Industry: A Survey of the Empirical Evidence," Journal of Transport Economics and Policy, University of Bath, vol. 43(2), pages 157-192, May.
    20. repec:hit:hitjcm:v:56:y:2015:i:1:p:93-115 is not listed on IDEAS
    21. Wing Chow, Clement Kong, 2010. "Measuring the productivity changes of Chinese airlines: The impact of the entries of non-state-owned carriers," Journal of Air Transport Management, Elsevier, vol. 16(6), pages 320-324.
    22. Banker, Rajiv & Natarajan, Ram & Zhang, Daqun, 2019. "Two-stage estimation of the impact of contextual variables in stochastic frontier production function models using Data Envelopment Analysis: Second stage OLS versus bootstrap approaches," European Journal of Operational Research, Elsevier, vol. 278(2), pages 368-384.
    23. Yu, Ming-Miin, 2010. "Assessment of airport performance using the SBM-NDEA model," Omega, Elsevier, vol. 38(6), pages 440-452, December.
    24. Yuen, Andrew Chi-lok & Zhang, Anming & Cheung, Waiman, 2013. "Foreign participation and competition: A way to improve the container port efficiency in China?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 220-231.
    25. Chunyan Yu, 2016. "Airline Productivity and Efficiency: Concept, Measurement, and Applications," Advances in Airline Economics, in: Airline Efficiency, volume 5, pages 11-53, Emerald Group Publishing Limited.
    26. Xu, Xiaonian & Wang, Yan, 1999. "Ownership structure and corporate governance in Chinese stock companies," China Economic Review, Elsevier, vol. 10(1), pages 75-98.
    27. lo Storto, Corrado, 2018. "The analysis of the cost-revenue production cycle efficiency of the Italian airports: A NSBM DEA approach," Journal of Air Transport Management, Elsevier, vol. 72(C), pages 77-85.
    28. 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.
    29. Kan Tsui, Wai Hong & Balli, Hatice Ozer & Gilbey, Andrew & Gow, Hamish, 2014. "Operational efficiency of Asia–Pacific airports," Journal of Air Transport Management, Elsevier, vol. 40(C), pages 16-24.
    30. Zhang, Yahua & Round, David K., 2008. "China's airline deregulation since 1997 and the driving forces behind the 2002 airline consolidations," Journal of Air Transport Management, Elsevier, vol. 14(3), pages 130-142.
    31. Yingyi Qian, 1996. "Enterprise reform in China: agency problems and political control," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 4(2), pages 427-447, October.
    32. Qian Sun & Wilson H. S. Tong & Jing Tong, 2002. "How Does Government Ownership Affect Firm Performance? Evidence from China's Privatization Experience," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 29(1&2), pages 1-27.
    33. Wanke, Peter & Barros, Carlos P. & Faria, João R., 2015. "Financial distress drivers in Brazilian banks: A dynamic slacks approach," European Journal of Operational Research, Elsevier, vol. 240(1), pages 258-268.
    34. 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.
    35. Lam, Shao Wei & Low, Joyce M.W. & Tang, Loon Ching, 2009. "Operational efficiencies across Asia Pacific airports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(4), pages 654-665, July.
    36. Kweh, Qian Long & Kuo, Kuo-Cheng & Wang, Wei-Kang & Liu, Hsian-Ming, 2015. "Board Independence, Family Control, And Performance In Taiwanese Listed Semiconductor Companies," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 56(1), pages 93-115, June.
    37. Chiang Kao, 2014. "Efficiency Decomposition in Network Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 55-77, Springer.
    38. Tian, Lihui & Estrin, Saul, 2008. "Retained state shareholding in Chinese PLCs: Does government ownership always reduce corporate value?," Journal of Comparative Economics, Elsevier, vol. 36(1), pages 74-89, March.
    39. Ahn, Young-Hyo & Min, Hokey, 2014. "Evaluating the multi-period operating efficiency of international airports using data envelopment analysis and the Malmquist productivity index," Journal of Air Transport Management, Elsevier, vol. 39(C), pages 12-22.
    40. 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.
    41. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    42. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    43. Lee, Boon L. & Worthington, Andrew C., 2014. "Technical efficiency of mainstream airlines and low-cost carriers: New evidence using bootstrap data envelopment analysis truncated regression," Journal of Air Transport Management, Elsevier, vol. 38(C), pages 15-20.
    44. 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.
    45. Trien Le & Amon Chizema, 2011. "State ownership and firm performance: Evidence from the Chinese listed firms," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 2(2).
    46. Li, Zhi-Chun & Sheng, Dian, 2016. "Forecasting passenger travel demand for air and high-speed rail integration service: A case study of Beijing-Guangzhou corridor, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 397-410.
    47. Joseph C.H. Chai & Kartik Roy, 2006. "Economic Reform in China and India," Books, Edward Elgar Publishing, number 2715.
    48. Kao, Chiang, 2014. "Efficiency decomposition in network data envelopment analysis with slacks-based measures," Omega, Elsevier, vol. 45(C), pages 1-6.
    49. Georgiadis, Georgios & Politis, Ioannis & Papaioannou, Panagiotis, 2014. "Measuring and improving the efficiency and effectiveness of bus public transport systems," Research in Transportation Economics, Elsevier, vol. 48(C), pages 84-91.
    50. Kao, Chiang & Hwang, Shiuh-Nan, 2014. "Multi-period efficiency and Malmquist productivity index in two-stage production systems," European Journal of Operational Research, Elsevier, vol. 232(3), pages 512-521.
    51. Zhang, Anming & Zhang, Yimin & Zhao, Ronald, 2003. "A study of the R&D efficiency and productivity of Chinese firms," Journal of Comparative Economics, Elsevier, vol. 31(3), pages 444-464, September.
    52. Omrani, Hashem & Soltanzadeh, Elham, 2016. "Dynamic DEA models with network structure: An application for Iranian airlines," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 52-61.
    53. Liu, Dan, 2016. "Measuring aeronautical service efficiency and commercial service efficiency of East Asia airport companies: An application of Network Data Envelopment Analysis," Journal of Air Transport Management, Elsevier, vol. 52(C), pages 11-22.
    54. Gutiérrez, Ester & Lozano, Sebastián, 2016. "Efficiency assessment and output maximization possibilities of European small and medium sized airports," Research in Transportation Economics, Elsevier, vol. 56(C), pages 3-14.
    55. Wang, Kun & Fan, Xingli & Fu, Xiaowen & Zhou, Yiran, 2014. "Benchmarking the performance of Chinese airlines: An investigation of productivity, yield and cost competitiveness," Journal of Air Transport Management, Elsevier, vol. 38(C), pages 3-14.
    56. Wang, Changyun, 2005. "Ownership and operating performance of Chinese IPOs," Journal of Banking & Finance, Elsevier, vol. 29(7), pages 1835-1856, July.
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    More about this item

    Keywords

    China; India; Efficiency; Dynamic and network DEA; Private airlines; Low-cost carriers;
    All these keywords.

    JEL classification:

    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation
    • L98 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Government Policy

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