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Evaluating the efficiency of major container shipping companies: A framework of dynamic network DEA with shared inputs

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  • Chao, Shih-Liang
  • Yu, Ming-Miin
  • Hsieh, Wei-Fan

Abstract

Taking advantage of a dynamic network data envelopment analysis (DNDEA), this study proposes a model decomposing shipping service production for a container shipping company (CSC) into two processes. Meanwhile, multiple evaluation periods are linked by carry-over activity. The fleet capacity of a CSC is separated into owned fleet capacity (OFC) and chartered-in fleet capacity, which are defined as carry-over activity and specific input, respectively. The efficiency of 13 major global CSCs is empirically evaluated based on a dataset covering a period from 2013 to 2015. The scores for company efficiency and division efficiency of each CSC are measured and examined. In addition, the optimal solution for sharing common inputs and adjusting OFC is also found from our model.

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  • Chao, Shih-Liang & Yu, Ming-Miin & Hsieh, Wei-Fan, 2018. "Evaluating the efficiency of major container shipping companies: A framework of dynamic network DEA with shared inputs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 44-57.
    • Handle: RePEc:eee:transa:v:117:y:2018:i:c:p:44-57
    DOI: 10.1016/j.tra.2018.08.002
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    1. Fare, Rolf & Grosskopf, Shawna, 1996. "Productivity and intermediate products: A frontier approach," Economics Letters, Elsevier, vol. 50(1), pages 65-70, January.
    2. 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.
    3. Sueyoshi, Toshiyuki & Sekitani, Kazuyuki, 2005. "Returns to scale in dynamic DEA," European Journal of Operational Research, Elsevier, vol. 161(2), pages 536-544, March.
    4. 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.
    5. 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.
    6. Pietro Evangelista & Alfonso Morvillo, 1998. "The role of training in developing entrepreneurship: the case of shipping in Italy [1]," Maritime Policy & Management, Taylor & Francis Journals, vol. 25(1), pages 81-96, January.
    7. Yu, Ming-Miin & Lin, Erwin T.J., 2008. "Efficiency and effectiveness in railway performance using a multi-activity network DEA model," Omega, Elsevier, vol. 36(6), pages 1005-1017, December.
    8. 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.
    9. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    10. Yu, Ming-Miin & Chen, Li-Hsueh & Hsiao, Bo, 2016. "Dynamic performance assessment of bus transit with the multi-activity network structure," Omega, Elsevier, vol. 60(C), pages 15-25.
    11. Jiro Nemoto & Mika Goto, 2003. "Measurement of Dynamic Efficiency in Production: An Application of Data Envelopment Analysis to Japanese Electric Utilities," Journal of Productivity Analysis, Springer, vol. 19(2), pages 191-210, April.
    12. Lawrence M. Seiford & Joe Zhu, 1999. "Profitability and Marketability of the Top 55 U.S. Commercial Banks," Management Science, INFORMS, vol. 45(9), pages 1270-1288, September.
    13. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    14. Zhao, Y. & Triantis, K. & Murray-Tuite, P. & Edara, P., 2011. "Performance measurement of a transportation network with a downtown space reservation system: A network-DEA approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1140-1159.
    15. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    16. Yu, Ming-Miin & Fan, Chih-Ku, 2009. "Measuring the performance of multimode bus transit: A mixed structure network DEA model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(3), pages 501-515, May.
    17. Nemoto, Jiro & Goto, Mika, 1999. "Dynamic data envelopment analysis: modeling intertemporal behavior of a firm in the presence of productive inefficiencies," Economics Letters, Elsevier, vol. 64(1), pages 51-56, July.
    18. Shih-Liang Chao, 2017. "Integrating multi-stage data envelopment analysis and a fuzzy analytical hierarchical process to evaluate the efficiency of major global liner shipping companies," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(4), pages 496-511, May.
    19. Park, K. Sam & Park, Kwangtae, 2009. "Measurement of multiperiod aggregative efficiency," European Journal of Operational Research, Elsevier, vol. 193(2), pages 567-580, March.
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