IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v86y2020icp44-49.html
   My bibliography  Save this article

The Shipper's perspective on slow steaming - Study of Six Swedish companies

Author

Listed:
  • Finnsgård, Christian
  • Kalantari, Joakim
  • Roso, Violeta
  • Woxenius, Johan

Abstract

Trans-ocean liner shipping companies adopt slow steaming during periods when the market is characterised by low demand, high fuel prices, low freight rates and overcapacity. The most recent instance in which this occurred was the period following the 2008/2009 global financial crises, and the speeds have not yet rebounded to the pre-crisis levels. Most of the existing research regarding slow steaming takes environmental, economic and maritime engineering perspectives, meaning that the phenomenon is studied from the viewpoint of ship owners. The purpose of this paper is to explore the effects of slow steaming from the shipper's perspective.

Suggested Citation

  • Finnsgård, Christian & Kalantari, Joakim & Roso, Violeta & Woxenius, Johan, 2020. "The Shipper's perspective on slow steaming - Study of Six Swedish companies," Transport Policy, Elsevier, vol. 86(C), pages 44-49.
    • Handle: RePEc:eee:trapol:v:86:y:2020:i:c:p:44-49
    DOI: 10.1016/j.tranpol.2019.10.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X17303943
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2019.10.005?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.

    References listed on IDEAS

    as
    1. Jong-Kyun Woo & Daniel Seong-Hyeok Moon, 2014. "The effects of slow steaming on the environmental performance in liner shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(2), pages 176-191, March.
    2. Lindstad, Haakon & Asbjørnslett, Bjørn E. & Strømman, Anders H., 2011. "Reductions in greenhouse gas emissions and cost by shipping at lower speeds," Energy Policy, Elsevier, vol. 39(6), pages 3456-3464, June.
    3. Wang, Dong-Hua & Chen, Chung-Ching & Lai, Cheng-Sheng, 2011. "The rationale behind and effects of Bunker Adjustment Factors," Journal of Transport Geography, Elsevier, vol. 19(4), pages 467-474.
    4. Michael Maloni & Jomon Aliyas Paul & David M Gligor, 2013. "Slow steaming impacts on ocean carriers and shippers," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 15(2), pages 151-171, June.
    5. Wang, Shuaian & Meng, Qiang, 2012. "Sailing speed optimization for container ships in a liner shipping network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 701-714.
    6. Theo E Notteboom, 2006. "The Time Factor in Liner Shipping Services," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 8(1), pages 19-39, March.
    7. Wu, Wei-Ming & Lin, Tsan-Hwan, 2015. "Selection behavior of the global container shipping industry for carrier-owned and leased containers," Transport Policy, Elsevier, vol. 37(C), pages 11-19.
    8. Christos Kontovas & Harilaos N. Psaraftis, 2011. "Reduction of emissions along the maritime intermodal container chain: operational models and policies," Maritime Policy & Management, Taylor & Francis Journals, vol. 38(4), pages 451-469, March.
    9. Christos A. Kontovas & Harilaos N. Psaraftis, 2011. "The link between economy and environment in the post-crisis era: lessons learned from slow steaming," International Journal of Decision Sciences, Risk and Management, Inderscience Enterprises Ltd, vol. 3(3/4), pages 311-326.
    10. D Ronen, 2011. "The effect of oil price on containership speed and fleet size," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(1), pages 211-216, January.
    11. Notteboom, Theo E. & Vernimmen, Bert, 2009. "The effect of high fuel costs on liner service configuration in container shipping," Journal of Transport Geography, Elsevier, vol. 17(5), pages 325-337.
    12. Dubois, Anna & Gadde, Lars-Erik, 2002. "Systematic combining: an abductive approach to case research," Journal of Business Research, Elsevier, vol. 55(7), pages 553-560, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Seyedvahid Vakili & Fabio Ballini & Alessandro Schönborn & Anastasia Christodoulou & Dimitrios Dalaklis & Aykut I. Ölçer, 2023. "Assessing the macroeconomic and social impacts of slow steaming in shipping: a literature review on small island developing states and least developed countries," Journal of Shipping and Trade, Springer, vol. 8(1), pages 1-25, December.
    2. Dongping Song, 2021. "A Literature Review, Container Shipping Supply Chain: Planning Problems and Research Opportunities," Logistics, MDPI, vol. 5(2), pages 1-26, June.
    3. Riccardo Giusti & Daniele Manerba & Roberto Tadei, 2021. "Smart Steaming: A New Flexible Paradigm for Synchromodal Logistics," Sustainability, MDPI, vol. 13(9), pages 1-21, April.
    4. Peng, Wenhao & Bai, Xiwen, 2022. "Prospects for improving shipping companies’ profit margins by quantifying operational strategies and market focus approach through AIS data," Transport Policy, Elsevier, vol. 128(C), pages 138-152.
    5. Yang, Jialin & Ge, Ying-En & Li, Kevin X., 2022. "Measuring volatility spillover effects in dry bulk shipping market," Transport Policy, Elsevier, vol. 125(C), pages 37-47.
    6. Bianca Borca & Lisa-Maria Putz & Florian Hofbauer, 2021. "Crises and Their Effects on Freight Transport Modes: A Literature Review and Research Framework," Sustainability, MDPI, vol. 13(10), pages 1-21, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wu, Wei-Ming, 2020. "The optimal speed in container shipping: Theory and empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    2. Christian Finnsgård & Joakim Kalantari & Zeeshan Raza & Violeta Roso & Johan Woxenius, 2018. "Swedish shippers’ strategies for coping with slow-steaming in deep sea container shipping," Journal of Shipping and Trade, Springer, vol. 3(1), pages 1-24, December.
    3. Wang, Shuaian & Meng, Qiang & Liu, Zhiyuan, 2013. "Containership scheduling with transit-time-sensitive container shipment demand," Transportation Research Part B: Methodological, Elsevier, vol. 54(C), pages 68-83.
    4. Zhang, Abraham & Zheng, Zhichao & Teo, Chung-Piaw, 2022. "Schedule reliability in liner shipping timetable design: A convex programming approach," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 499-525.
    5. He, Qie & Zhang, Xiaochen & Nip, Kameng, 2017. "Speed optimization over a path with heterogeneous arc costs," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 198-214.
    6. Wang, Shuaian & Meng, Qiang, 2012. "Liner ship route schedule design with sea contingency time and port time uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 46(5), pages 615-633.
    7. Wang, Shuaian & Meng, Qiang & Liu, Zhiyuan, 2013. "Bunker consumption optimization methods in shipping: A critical review and extensions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 53(C), pages 49-62.
    8. Wang, Shuaian & Qu, Xiaobo & Yang, Ying, 2015. "Estimation of the perceived value of transit time for containerized cargoes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 298-308.
    9. Hamed Hasheminia & Changmin Jiang, 2017. "Strategic trade-off between vessel delay and schedule recovery: an empirical analysis of container liner shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(4), pages 458-473, May.
    10. Sheng, Dian & Li, Zhi-Chun & Fu, Xiaowen & Gillen, David, 2017. "Modeling the effects of unilateral and uniform emission regulations under shipping company and port competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 99-114.
    11. Wang, Shuaian, 2016. "Fundamental properties and pseudo-polynomial-time algorithm for network containership sailing speed optimization," European Journal of Operational Research, Elsevier, vol. 250(1), pages 46-55.
    12. Aydin, N. & Lee, H. & Mansouri, S.A., 2017. "Speed optimization and bunkering in liner shipping in the presence of uncertain service times and time windows at ports," European Journal of Operational Research, Elsevier, vol. 259(1), pages 143-154.
    13. Wang, Shuaian & Wang, Xinchang, 2016. "A polynomial-time algorithm for sailing speed optimization with containership resource sharing," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 394-405.
    14. Wang, Shuaian & Meng, Qiang, 2015. "Robust bunker management for liner shipping networks," European Journal of Operational Research, Elsevier, vol. 243(3), pages 789-797.
    15. Sun, Qinghe & Li, Wei & Meng, Qiang, 2024. "Single-leg shipping revenue management for expedited services with ambiguous elasticity in transit-time-sensitive demand," Transportation Research Part B: Methodological, Elsevier, vol. 180(C).
    16. Meng, Qiang & Du, Yuquan & Wang, Yadong, 2016. "Shipping log data based container ship fuel efficiency modeling," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 207-229.
    17. Dan Zhuge & Shuaian Wang & Lu Zhen & Gilbert Laporte, 2020. "Schedule design for liner services under vessel speed reduction incentive programs," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(1), pages 45-62, February.
    18. Xi Jiang & Haijun Mao & Yadong Wang & Hao Zhang, 2020. "Liner Shipping Schedule Design for Near-Sea Routes Considering Big Customers’ Preferences on Ship Arrival Time," Sustainability, MDPI, vol. 12(18), pages 1-20, September.
    19. Zhao, Shuaiqi & Yang, Hualong & Zheng, Jianfeng & Li, Dechang, 2024. "A two-step approach for deploying heterogeneous vessels and designing reliable schedule in liner shipping services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    20. Pierre, Cariou & Francesco, Parola & Theo, Notteboom, 2019. "Towards low carbon global supply chains: A multi-trade analysis of CO2 emission reductions in container shipping," International Journal of Production Economics, Elsevier, vol. 208(C), pages 17-28.

    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:eee:trapol:v:86:y:2020:i:c:p:44-49. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    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.