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Consortium blockchain in Shipping: Impacts on industry and social welfare

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  • Zheng, Shiyuan
  • Jiang, Changmin

Abstract

This paper investigates the effects of consortium blockchain on the shipping industry. We model a market with two competing shipping lines and a port. We compare three scenarios: no blockchain (NB), partial blockchain consisting of only the two shipping lines (PB), and full blockchain consisting of both the shipping lines and the port (FB). Using game theory, we analyze how the consortium blockchain affects the shipping market and social welfare. We find that adding more players (especially the port) to the consortium blockchain does not always benefit everyone. The port gains from joining the consortium blockchain if its adoption cost is low. But compared with PB, FB generally decreases the profit of the shipping line with information advantage. PB enhances social welfare regardless of the blockchain adoption cost, while FB does so only under fierce competition between the shipping lines. Moreover, both PB and FB increase the volatility of the shipping freight rates, although they do not affect the volatility of shipping outputs or the port charges. Our analysis reveals that policy interventions are essential to ensure that the benefits of consortium blockchain adoption are equitably distributed among all shipping industry participants. Additionally, regulatory measures may be necessary to mitigate the heightened volatility in freight rates introduced by blockchain, ensuring a stable and predictable shipping industry landscape.

Suggested Citation

  • Zheng, Shiyuan & Jiang, Changmin, 2024. "Consortium blockchain in Shipping: Impacts on industry and social welfare," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    • Handle: RePEc:eee:transa:v:183:y:2024:i:c:s0965856424001198
    DOI: 10.1016/j.tra.2024.104071
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    References listed on IDEAS

    as
    1. Liang Guo & Tian Li & Hongtao Zhang, 2014. "Strategic Information Sharing in Competing Channels," Production and Operations Management, Production and Operations Management Society, vol. 23(10), pages 1719-1731, October.
    2. Gérard P. Cachon & Martin A. Lariviere, 2001. "Contracting to Assure Supply: How to Share Demand Forecasts in a Supply Chain," Management Science, INFORMS, vol. 47(5), pages 629-646, May.
    3. Wang, Junjin & Liu, Jiaguo & Wang, Fan & Yue, Xiaohang, 2021. "Blockchain technology for port logistics capability: Exclusive or sharing," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 347-392.
    4. Lode Li & Hongtao Zhang, 2008. "Confidentiality and Information Sharing in Supply Chain Coordination," Management Science, INFORMS, vol. 54(8), pages 1467-1481, August.
    5. Bai, Xiwen & Cheng, Liangqi & Yang, Dong & Cai, Ouchen, 2022. "Does the traffic volume of a port determine connectivity? Revisiting port connectivity measures with high-frequency satellite data," Journal of Transport Geography, Elsevier, vol. 102(C).
    6. Dong Yang & Lingxiao Wu & Shuaian Wang & Haiying Jia & Kevin X. Li, 2019. "How big data enriches maritime research – a critical review of Automatic Identification System (AIS) data applications," Transport Reviews, Taylor & Francis Journals, vol. 39(6), pages 755-773, November.
    7. Li, Xue & Lai, Po-Lin & Yang, Ching-Chiao & Yuen, Kum Fai, 2021. "Determinants of blockchain adoption in the aviation industry: Empirical evidence from Korea," Journal of Air Transport Management, Elsevier, vol. 97(C).
    8. Chang, Shuchih Ernest & Chen, Yi-Chian & Lu, Ming-Fang, 2019. "Supply chain re-engineering using blockchain technology: A case of smart contract based tracking process," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 1-11.
    9. Lode Li, 2002. "Information Sharing in a Supply Chain with Horizontal Competition," Management Science, INFORMS, vol. 48(9), pages 1196-1212, September.
    10. Noam Shamir & Hyoduk Shin, 2016. "Public Forecast Information Sharing in a Market with Competing Supply Chains," Management Science, INFORMS, vol. 62(10), pages 2994-3022, October.
    11. Yang, Chung-Shan, 2019. "Maritime shipping digitalization: Blockchain-based technology applications, future improvements, and intention to use," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 108-117.
    12. L.A. Risso & G.M.D. Ganga & Moacir Godinho Filho & L.A.D. Santa-Eulalia & T. Chikhi & E. Mosconi, 2023. "Present and Future Perspectives of Blockchain in Supply Chain Management: A Review of Reviews and Research Agenda," Post-Print hal-04277174, HAL.
    13. Yang, Dong & Wu, Lingxiao & Wang, Shuaian, 2021. "Can we trust the AIS destination port information for bulk ships?–Implications for shipping policy and practice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    14. Yujing Chen & Bin Yang, 2022. "Cooperative Decision Making of Supply Chain Members of Shipping Logistics Services Under the Background of Blockchain," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 39(01), pages 1-39, February.
    15. Li Jiang & Zhongyuan Hao, 2016. "Incentive-Driven Information Dissemination in Two-Tier Supply Chains," Manufacturing & Service Operations Management, INFORMS, vol. 18(3), pages 393-413, July.
    16. Choi, Tsan-Ming & Siqin, Tana, 2022. "Blockchain in logistics and production from Blockchain 1.0 to Blockchain 5.0: An intra-inter-organizational framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    17. Bai, Xiwen & Ma, Zhongjun & Zhou, Yaoming, 2023. "Data-driven static and dynamic resilience assessment of the global liner shipping network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    18. Jovanovic, Marin & Kostić, Nikola & Sebastian, Ina M. & Sedej, Tomaz, 2022. "Managing a blockchain-based platform ecosystem for industry-wide adoption: The case of TradeLens," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    19. Weixin Shang & Albert Y. Ha & Shilu Tong, 2016. "Information Sharing in a Supply Chain with a Common Retailer," Management Science, INFORMS, vol. 62(1), pages 245-263, January.
    20. 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.
    21. Özalp Özer & Yanchong Zheng & Kay-Yut Chen, 2011. "Trust in Forecast Information Sharing," Management Science, INFORMS, vol. 57(6), pages 1111-1137, June.
    22. Albert Y. Ha & Quan Tian & Shilu Tong, 2017. "Information Sharing in Competing Supply Chains with Production Cost Reduction," Manufacturing & Service Operations Management, INFORMS, vol. 19(2), pages 246-262, May.
    23. Albert Y. Ha & Shilu Tong, 2008. "Contracting and Information Sharing Under Supply Chain Competition," Management Science, INFORMS, vol. 54(4), pages 701-715, April.
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