IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v126y2022icp204-214.html
   My bibliography  Save this article

Effects of fairway dues on the deployment and utilization of vessels: Lessons from a regression discontinuity design

Author

Listed:
  • Merkel, Axel
  • Lindgren, Samuel

Abstract

The objective of this paper is to provide empirical insights into how shipowners’ fleet deployment decisions are affected by changes in vessel-specific voyage costs. Voyage cost components which are fixed with respect to sailed distance, e.g., port charges or other infrastructure fees, may significantly influence the competitiveness of a maritime transport service, for instance if the level of such costs necessitate a very high degree of capacity utilization. We investigate empirically the effect of charges on the deployment and utilization of vessels in short-sea shipping by using the most recent reform of the Swedish fairway dues system as a natural experiment. Exploiting a stepwise differentiation of fees with respect to size, we utilize a regression discontinuity approach to elicit plausibly causal effects of increased fees on the deployment and utilization of vessels. The results show that increased voyage costs in the form of raised charges lead to affected vessels being deployed on fewer calls but with a slightly higher degree of capacity utilization. Heterogeneity analyses reveal estimates for port calls are larger for small shipowners and for vessels in high-frequency traffic. Overall, the results of the study highlight that charges levied on ships affect the supply structure of short-sea shipping by inducing shipowners to mitigate increased costs through adjusted deployment strategies.

Suggested Citation

  • Merkel, Axel & Lindgren, Samuel, 2022. "Effects of fairway dues on the deployment and utilization of vessels: Lessons from a regression discontinuity design," Transport Policy, Elsevier, vol. 126(C), pages 204-214.
  • Handle: RePEc:eee:trapol:v:126:y:2022:i:c:p:204-214
    DOI: 10.1016/j.tranpol.2022.07.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X22002050
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tranpol.2022.07.018?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. Wang, Shuaian & Meng, Qiang, 2012. "Liner ship fleet deployment with container transshipment operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 470-484.
    2. McIntosh, C.R. & Wilmot, N.A. & Skalberg, R.K., 2015. "Paying for harbor maintenance in the US: Options for moving past the Harbor Maintenance Tax," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 210-221.
    3. Angela Stefania Bergantino & Simona Bolis, 2008. "Monetary values of transport service attributes: land versus maritime ro-ro transport. An application using adaptive stated preferences," Maritime Policy & Management, Taylor & Francis Journals, vol. 35(2), pages 159-174, April.
    4. Bergantino, Angela S. & Bierlaire, Michel & Catalano, Mario & Migliore, Marco & Amoroso, Salvatore, 2013. "Taste heterogeneity and latent preferences in the choice behaviour of freight transport operators," Transport Policy, Elsevier, vol. 30(C), pages 77-91.
    5. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    6. Linda Styhre, 2009. "Strategies for capacity utilisation in short sea shipping," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 11(4), pages 418-437, December.
    7. Pierre Cariou & Ronald A. Halim & Bradley J. Rickard, 2022. "Ship-owner Response to Carbon Taxes: Industry and Environmental Implications," Applied Economics and Policy Working Paper Series 320702, Cornell University, Department of Applied Economics and Management.
    8. Arindrajit Dube & Laura Giuliano & Jonathan Leonard, 2019. "Fairness and Frictions: The Impact of Unequal Raises on Quit Behavior," American Economic Review, American Economic Association, vol. 109(2), pages 620-663, February.
    9. Feo, María & Espino, Raquel & García, Leandro, 2011. "An stated preference analysis of Spanish freight forwarders modal choice on the south-west Europe Motorway of the Sea," Transport Policy, Elsevier, vol. 18(1), pages 60-67, January.
    10. Claudio Ferrari & Francesco Parola & Alessio Tei, 2015. "Determinants of slow steaming and implications on service patterns," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(7), pages 636-652, October.
    11. Christopher R McIntosh & Randall K Skalberg, 2010. "A statistical approach to US harbor maintenance tax rates and replacement user fees," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 12(3), pages 263-279, September.
    12. Ng, ManWo, 2015. "Container vessel fleet deployment for liner shipping with stochastic dependencies in shipping demand," Transportation Research Part B: Methodological, Elsevier, vol. 74(C), pages 79-87.
    13. Michel Beuthe & Bart Jourquin & Natalie Urbain, 2014. "Estimating Freight Transport Price Elasticity in Multi-mode Studies: A Review and Additional Results from a Multimodal Network Model," Transport Reviews, Taylor & Francis Journals, vol. 34(5), pages 626-644, September.
    14. Thalis Zis & Harilaos. N. Psaraftis, 2019. "Operational measures to mitigate and reverse the potential modal shifts due to environmental legislation," Maritime Policy & Management, Taylor & Francis Journals, vol. 46(1), pages 117-132, January.
    15. Baumol, William J & Bradford, David F, 1970. "Optimal Departures from Marginal Cost Pricing," American Economic Review, American Economic Association, vol. 60(3), pages 265-283, June.
    16. Winai Homsombat & Tsz Leung Yip & Hangjun Yang & Xiaowen Fu, 2013. "Regional cooperation and management of port pollution," Maritime Policy & Management, Taylor & Francis Journals, vol. 40(5), pages 451-466, September.
    17. Meng, Qiang & Wang, Shuaian, 2012. "Liner ship fleet deployment with week-dependent container shipment demand," European Journal of Operational Research, Elsevier, vol. 222(2), pages 241-252.
    18. Harald M. Hjelle, 2011. "The double load factor problem of Ro-Ro shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 38(3), pages 235-249, May.
    19. Adland, Roar & Jia, Haiying & Strandenes, Siri P., 2018. "The determinants of vessel capacity utilization: The case of Brazilian iron ore exports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 191-201.
    Full references (including those not matched with items on IDEAS)

    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. Merkel, Axel & Lindgren, Samuel, 2022. "Effects of fairway dues on the deployment and utilization of vessels: Lessons from a regression discontinuity design," Working Papers 2022:3, Swedish National Road & Transport Research Institute (VTI).
    2. Ng, ManWo & Lin, Dung-Ying, 2018. "Fleet deployment in liner shipping with incomplete demand information," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 184-189.
    3. Wang, Yadong & Wang, Shuaian, 2021. "Deploying, scheduling, and sequencing heterogeneous vessels in a liner container shipping route," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
    4. Vega, Amaya & Feo-Valero, Maria & Espino-Espino, Raquel, 2018. "The potential impact of Brexit on Ireland's demand for shipping services to continental Europe," Transport Policy, Elsevier, vol. 71(C), pages 1-13.
    5. Dong, Bo & Christiansen, Marielle & Fagerholt, Kjetil & Bektaş, Tolga, 2020. "Combined maritime fleet deployment and inventory management with port visit flexibility in roll-on roll-off shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    6. Wang, Kai & Wang, Shuaian & Zhen, Lu & Qu, Xiaobo, 2017. "Cruise service planning considering berth availability and decreasing marginal profit," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 1-18.
    7. 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.
    8. Arencibia, Ana Isabel & Feo-Valero, María & García-Menéndez, Leandro & Román, Concepción, 2015. "Modelling mode choice for freight transport using advanced choice experiments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 252-267.
    9. Jawaher Binsuwadan & Gerard De Jong & Richard Batley & Phill Wheat, 2022. "The value of travel time savings in freight transport: a meta-analysis," Transportation, Springer, vol. 49(4), pages 1183-1209, August.
    10. Zhen, Lu & Wang, Shuaian & Zhuge, Dan, 2017. "Analysis of three container routing strategies," International Journal of Production Economics, Elsevier, vol. 193(C), pages 259-271.
    11. Lai, Xiaofan & Wu, Lingxiao & Wang, Kai & Wang, Fan, 2022. "Robust ship fleet deployment with shipping revenue management," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 169-196.
    12. Moussawi-Haidar, Lama & Nasr, Walid & Jalloul, Maya, 2021. "Standardized cargo network revenue management with dual channels under stochastic and time-dependent demand," European Journal of Operational Research, Elsevier, vol. 295(1), pages 275-291.
    13. Zheng, Jianfeng & Sun, Zhuo & Zhang, Fangjun, 2016. "Measuring the perceived container leasing prices in liner shipping network design with empty container repositioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 123-140.
    14. Wang, Shuaian, 2015. "Optimal sequence of container ships in a string," European Journal of Operational Research, Elsevier, vol. 246(3), pages 850-857.
    15. Wang, Hua & Wang, Shuaian & Meng, Qiang, 2014. "Simultaneous optimization of schedule coordination and cargo allocation for liner container shipping networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 261-273.
    16. Alaa Abdelshafie & May Salah & Tomaž Kramberger & Dejan Dragan, 2022. "Repositioning and Optimal Re-Allocation of Empty Containers: A Review of Methods, Models, and Applications," Sustainability, MDPI, vol. 14(11), pages 1-23, May.
    17. Gohari, Adel & Ahmad, Anuar Bin & Balasbaneh, Ali Tighnavard & Gohari, Ali & Hasan, Razi & Sholagberu, Abdulkadir Taofeeq, 2022. "Significance of intermodal freight modal choice criteria: MCDM-based decision support models and SP-based modal shift policies," Transport Policy, Elsevier, vol. 121(C), pages 46-60.
    18. Tao, Xuezong & Zhu, Lichao, 2020. "Meta-analysis of value of time in freight transportation: A comprehensive review based on discrete choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 213-233.
    19. Román, Concepción & Arencibia, Ana Isabel & Feo-Valero, María, 2017. "A latent class model with attribute cut-offs to analyze modal choice for freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 212-227.
    20. Qiang Meng & Tingsong Wang & Shuaian Wang, 2015. "Multi-period liner ship fleet planning with dependent uncertain container shipment demand," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(1), pages 43-67, January.

    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:126:y:2022:i:c:p:204-214. 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.