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

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  • 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
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    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. 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.
    3. 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.
    4. 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.
    5. 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.
    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. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
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