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Subsidy design in a vessel speed reduction incentive program under government policies

Author

Listed:
  • Dan Zhuge
  • Shuaian Wang
  • Lu Zhen
  • Gilbert Laporte

Abstract

As a green port and shipping‐related policy, the vessel speed reduction incentive program (VSRIP) involves using a subsidy to induce ships to reduce their speed in a port area so that the emissions can be reduced at the port. However, this program may attract new ships to visit the port because of the subsidy; in this case, the port's profit will grow due to more ship visits, but its total emissions may also increase, which is counter to the original intention of the subsidy. The government could then intervene by providing part of the subsidy for the VSRIP or by collecting air emission taxes for the increased emission at the port. This paper studies how to design suitable subsidies for ships participating in a VSRIP. Two bilevel subsidy design models are formulated based on a Stackelberg game to maximize the port's profit (related to the profits from original and new ships, the subsidy provided by the port, and air emission taxes) and to minimize the government's cost (related to the damage cost of air emissions, the subsidy provided by the government, and air emission taxes). We determine which policy (including a sharing subsidy policy, no government intervention, and an air emission tax policy) should be implemented by the government in different cases and how much subsidy should be provided by the port under each government policy. We find that these decisions are affected by several practical factors, such as the damage cost of air emissions per ton of fuel and the subsidy sensitivities of original and new ships. We also outline several meaningful insights based on the analysis of these practical factors.

Suggested Citation

  • Dan Zhuge & Shuaian Wang & Lu Zhen & Gilbert Laporte, 2021. "Subsidy design in a vessel speed reduction incentive program under government policies," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(3), pages 344-358, April.
  • Handle: RePEc:wly:navres:v:68:y:2021:i:3:p:344-358
    DOI: 10.1002/nav.21948
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    1. Celeste Ahl & Elaine Frey & Seiji Steimetz, 2017. "The effects of financial incentives on vessel speed reduction: Evidence from the Port of Long Beach Green Flag Incentive Program," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(4), pages 601-618, December.
    2. Thalis Zis & Robin Jacob North & Panagiotis Angeloudis & Washington Yotto Ochieng & Michael Geoffrey Harrison Bell, 2014. "Evaluation of cold ironing and speed reduction policies to reduce ship emissions near and at ports," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 16(4), pages 371-398, December.
    3. Jingbo Yin & Lixian Fan & Zhongzhen Yang & Kevin X. Li, 2014. "Slow steaming of liner trade: its economic and environmental impacts," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(2), pages 149-158, March.
    4. 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.
    5. Chang, Ching-Chin & Chang, Chia-Hong, 2013. "Energy conservation for international dry bulk carriers via vessel speed reduction," Energy Policy, Elsevier, vol. 59(C), pages 710-715.
    6. Yang, Zhongzhen & Jiang, Zhenfeng & Notteboom, Theo & Haralambides, Hercules, 2019. "The impact of ship scrapping subsidies on fleet renewal decisions in dry bulk shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 177-189.
    7. Harilaos N. Psaraftis, 2019. "Speed Optimization vs Speed Reduction: the Choice between Speed Limits and a Bunker Levy," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    8. 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.
    9. Ančić, Ivica & Šestan, Ante, 2015. "Influence of the required EEDI reduction factor on the CO2 emission from bulk carriers," Energy Policy, Elsevier, vol. 84(C), pages 107-116.
    10. Dong, Gang & Huang, Rongbing & Ng, Peggy, 2016. "Tacit collusion between two terminals of a port," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 199-211.
    11. Koza, David Franz, 2019. "Liner shipping service scheduling and cargo allocation," European Journal of Operational Research, Elsevier, vol. 275(3), pages 897-915.
    12. Wang, Shuaian & Meng, Qiang, 2015. "Robust bunker management for liner shipping networks," European Journal of Operational Research, Elsevier, vol. 243(3), pages 789-797.
    13. Brouer, Berit D. & Dirksen, Jakob & Pisinger, David & Plum, Christian E.M. & Vaaben, Bo, 2013. "The Vessel Schedule Recovery Problem (VSRP) – A MIP model for handling disruptions in liner shipping," European Journal of Operational Research, Elsevier, vol. 224(2), pages 362-374.
    14. Wu, Lingxiao & Wang, Shuaian, 2020. "The shore power deployment problem for maritime transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    15. Lee, Chung-Yee & Lee, Hau L. & Zhang, Jiheng, 2015. "The impact of slow ocean steaming on delivery reliability and fuel consumption," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 76(C), pages 176-190.
    16. Haehl, Christian & Spinler, Stefan, 2020. "Technology Choice under Emission Regulation Uncertainty in International Container Shipping," European Journal of Operational Research, Elsevier, vol. 284(1), pages 383-396.
    17. 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.
    18. Chen, Hsiao-Chi & Liu, Shi-Miin, 2016. "Should ports expand their facilities under congestion and uncertainty?," Transportation Research Part B: Methodological, Elsevier, vol. 85(C), pages 109-131.
    19. Elodie Adida & Victor DeMiguel, 2011. "Supply Chain Competition with Multiple Manufacturers and Retailers," Operations Research, INFORMS, vol. 59(1), pages 156-172, February.
    20. Gökçe Esenduran & Nicholas G. Hall & Zhixin Liu, 2015. "Environmental regulation in project‐based industries," Naval Research Logistics (NRL), John Wiley & Sons, vol. 62(3), pages 228-247, April.
    21. Wang, Tingsong & Wang, Xinchang & Meng, Qiang, 2018. "Joint berth allocation and quay crane assignment under different carbon taxation policies," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 18-36.
    22. Yuquan Du & Qiushuang Chen & Jasmine Siu Lee Lam & Ya Xu & Jin Xin Cao, 2015. "Modeling the Impacts of Tides and the Virtual Arrival Policy in Berth Allocation," Transportation Science, INFORMS, vol. 49(4), pages 939-956, November.
    23. Constantinos Maglaras & Joern Meissner, 2006. "Dynamic Pricing Strategies for Multiproduct Revenue Management Problems," Manufacturing & Service Operations Management, INFORMS, vol. 8(2), pages 136-148, July.
    24. 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.
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    3. Jingwen Qi & Hans Wang & Jianfeng Zheng, 2022. "Promoting Liquefied Natural Gas (LNG) Bunkering for Maritime Transportation: Should Ports or Ships Be Subsidized?," Sustainability, MDPI, vol. 14(11), pages 1-16, May.

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