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Comparing the efficiency of alliance members and independent liner carriers: a metafrontier analysis

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  • Shih-Liang Chao

    (National Taiwan Ocean University)

  • Chun-Wei Lai

    (National Taiwan Ocean University)

Abstract

The liner shipping market is dominated by a few global carriers. The great majority of them have joined forces in strategic alliances while some others are opting to operate independently. This study aims to identify the effect on efficiency of participating in an alliance. The period 2010–2012 has been examined. The leading carriers are divided into two groups: independents and alliance members. We apply the metafrontier approach to further decompose the Malmquist productivity index. The results indicate that independent carriers outperformed alliance members in 2010; their independence was helpful in increasing space utilisation when demand was sufficient (in 2010). However, in the following 2 years, the opposite was true, indicating that alliance members had higher flexibility in terms of adjusting surplus capacity by cooperating with other carriers when the imbalance between supply and demand was serious (in the period from 2011 to 2012). The difference in efficiency between the two groups was shown to be statistically significant. These results support the recent trend towards stronger strategic alliances, from the perspective of higher efficiency.

Suggested Citation

  • Shih-Liang Chao & Chun-Wei Lai, 2019. "Comparing the efficiency of alliance members and independent liner carriers: a metafrontier analysis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(2), pages 157-172, June.
  • Handle: RePEc:pal:marecl:v:21:y:2019:i:2:d:10.1057_s41278-017-0088-2
    DOI: 10.1057/s41278-017-0088-2
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    1. George E Halkos & Nickolaos G Tzeremes & Stavros A Kourtzidis, 2015. "Weight assurance region in two-stage additive efficiency decomposition DEA model: an application to school data," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(4), pages 696-704, April.
    2. Ester Gutiérrez & Sebastián Lozano & Salvador Furió, 2014. "Evaluating efficiency of international container shipping lines: A bootstrap DEA approach," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 16(1), pages 55-71, March.
    3. Isabelle Piot-Lepetit & Joseph Nzongang, 2014. "Financial sustainability and poverty outreach within a network of village banks in Cameroon: A multi DEA approach," Post-Print hal-02639487, HAL.
    4. Yujiro Hayami, 1969. "Sources of Agricultural Productivity Gap Among Selected Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 51(3), pages 564-575.
    5. Henry Tulkens & Philippe Eeckaut, 2006. "Nonparametric Efficiency, Progress and Regress Measures For Panel Data: Methodological Aspects," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 395-429, Springer.
    6. 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.
    7. Hee-Seok Bang & Hyo-Won Kang & Jeffrey Martin & Su-Han Woo, 2012. "The impact of operational and strategic management on liner shipping efficiency: a two-stage DEA approach," Maritime Policy & Management, Taylor & Francis Journals, vol. 39(7), pages 653-672, December.
    8. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    9. Panayides, Photis M. & Lambertides, Neophytos & Savva, Christos S., 2011. "The relative efficiency of shipping companies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(5), pages 681-694, September.
    10. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    11. Piot-Lepetit, Isabelle & Nzongang, Joseph, 2014. "Financial sustainability and poverty outreach within a network of village banks in Cameroon: A multi-DEA approach," European Journal of Operational Research, Elsevier, vol. 234(1), pages 319-330.
    12. Li, Ke & Lin, Boqiang, 2016. "Impact of energy conservation policies on the green productivity in China’s manufacturing sector: Evidence from a three-stage DEA model," Applied Energy, Elsevier, vol. 168(C), pages 351-363.
    13. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    14. Pastor, Jesus T. & Lovell, C.A. Knox, 2005. "A global Malmquist productivity index," Economics Letters, Elsevier, vol. 88(2), pages 266-271, August.
    15. Herrero, Ines, 2005. "Different approaches to efficiency analysis. An application to the Spanish Trawl fleet operating in Moroccan waters," European Journal of Operational Research, Elsevier, vol. 167(1), pages 257-271, November.
    16. Dong-hyun Oh & Jeong-dong Lee, 2010. "A metafrontier approach for measuring Malmquist productivity index," Empirical Economics, Springer, vol. 38(1), pages 47-64, February.
    17. George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
    18. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
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    Cited by:

    1. Mohammad Ghorbani & Michele Acciaro & Sandra Transchel & Pierre Cariou, 2022. "Strategic alliances in container shipping: A review of the literature and future research agenda," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(2), pages 439-465, June.
    2. Chin‐wei Huang & Hsiao‐Yin Chen, 2023. "Using nonradial metafrontier data envelopment analysis to evaluate the metatechnology and metafactor ratios for the Taiwanese hotel industry," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 1904-1919, June.

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