IDEAS home Printed from https://ideas.repec.org/a/taf/marpmg/v40y2013i7p654-674.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03088839.2013.851459
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03088839.2013.851459?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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).
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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).
    13. 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.
    14. 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).
    15. 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.
    16. 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.
    17. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:marpmg:v:40:y:2013:i:7:p:654-674. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TMPM20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.