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Evolution and research trends of container shipping

Author

Listed:
  • Yui-Yip Lau
  • Adolf K. Y. Ng
  • Xiaowen Fu
  • Kevin X. Li

Abstract

The shipping industry was transformed by the expansion of international trade and technological innovation, notably containerization, since the 1960s. Accordingly, this was followed by a significant increase in research addressing different aspects of container shipping. Despite such availability, important questions have remained unanswered: what are the major contributions that the research community has made to the container shipping industry, global and regional economies? Have their contributions been skewed towards particular themes, directions, and geographical areas? What can the shipping research community learn from the evolution and trends of container shipping research so that they can continue to contribute to the well-being of the global and regional economies? To address these questions, the paper undertakes a critical review and analysis on the evolution and trends of research in container shipping in the past four decades, based on a collection of 282 papers investigating different topics in container shipping featuring in major scholarly journals between 1967 and 2012. The study enables the shipping research community to enhance self-understandings and identifies major gaps for further research.

Suggested Citation

  • Yui-Yip Lau & Adolf K. Y. Ng & Xiaowen Fu & Kevin X. Li, 2013. "Evolution and research trends of container shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 40(7), pages 654-674, December.
  • Handle: RePEc:taf:marpmg:v:40:y:2013:i:7:p:654-674
    DOI: 10.1080/03088839.2013.851459
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    Citations

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    Cited by:

    1. Wang, Kun & Fu, Xiaowen & Luo, Meifeng, 2015. "Modeling the impacts of alternative emission trading schemes on international shipping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 35-49.
    2. Alexandridis, George & Kavussanos, Manolis G. & Kim, Chi Y. & Tsouknidis, Dimitris A. & Visvikis, Ilias D., 2018. "A survey of shipping finance research: Setting the future research agenda," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 164-212.
    3. Mitroussi, K. & Abouarghoub, W. & Haider, J.J. & Pettit, S.J. & Tigka, N., 2016. "Performance drivers of shipping loans: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 438-452.
    4. Rau, Philipp & Spinler, Stefan, 2017. "Alliance formation in a cooperative container shipping game: Performance of a real options investment approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 155-175.
    5. Rau, Philipp & Spinler, Stefan, 2016. "Investment into container shipping capacity: A real options approach in oligopolistic competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 130-147.
    6. Yui-yip Lau & César Ducruet & Adolf K. Y. Ng & Xiaowen Fu, 2017. "Across the waves: a bibliometric analysis of container shipping research since the 1960s," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(6), pages 667-684, August.
    7. Tu, Ningwen & Adiputranto, Dimas & Fu, Xiaowen & Li, Zhi-Chun, 2018. "Shipping network design in a growth market: The case of Indonesia," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 108-125.
    8. Alam, Sheraz & Sohail, M. Farhan & Ghauri, Sajjad A. & Qureshi, I.M. & Aqdas, Naveed, 2017. "Cognitive radio based Smart Grid Communication Network," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 535-548.
    9. Li, Xishu & Zuidwijk, Rob & de Koster, M.B.M, 2023. "Optimal competitive capacity strategies: Evidence from the container shipping market," Omega, Elsevier, vol. 115(C).
    10. Zheng, Shiyuan & Fu, Xiaowen & Jiang, Changmin & Ge, Ying-En, 2020. "Airline investments in exclusive airport facilities: Timing decisions under demand ambiguity," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 343-363.
    11. Wenming Shi & Kevin X. Li, 2017. "Themes and tools of maritime transport research during 2000-2014," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(2), pages 151-169, February.
    12. Yu, Ming-Miin & Chen, Li-Hsueh, 2016. "Centralized resource allocation with emission resistance in a two-stage production system: Evidence from a Taiwan’s container shipping company," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 650-671.
    13. Shu-Man Chang & Jaw-Shen Wang & Ming-Miin Yu & Kuo-Chung Shang & Shih-Hao Lin & Bo Hsiao, 2015. "An application of centralized data envelopment analysis in resource allocation in container terminal operations," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(8), pages 776-788, November.
    14. Zheng, Shiyuan & Ge, Ying-En & Fu, Xiaowen & (Marco) Nie, Yu & Xie, Chi, 2020. "Demand information sharing in port concession arrangements," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 118-143.
    15. Zhu, Shengda & Fu, Xiaowen & Bell, Michael G.H., 2021. "Container shipping line port choice patterns in East Asia the effects of port affiliation and spatial dependence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    16. Michael J. Maloni & David M. Gligor & Ioannis N. Lagoudis, 2016. "Linking ocean container carrier capabilities to shipper–carrier relationships: a case study," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(8), pages 959-975, November.
    17. Zhou, Yusheng & Li, Xue & Yuen, Kum Fai, 2022. "Holistic risk assessment of container shipping service based on Bayesian Network Modelling," Reliability Engineering and System Safety, Elsevier, vol. 220(C).

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