A Study on the Mutual Rental Model of Container Shipping Alliance Cabins based on Blockchain

Authors

  • Yaxin Geng Logistics Engineering, Shanghai Maritime University, Shanghai, 200000, China
  • Xiaoguang Wang Logistics Finance, Shanghai Lixin Institute of Accounting and Finance, Shanghai, 200000, China
  • Zhaowei Meng Logistics Engineering, Shanghai Maritime University, Shanghai, 200000, China

DOI:

https://doi.org/10.30564/jbar.v4i1.2821

Abstract

As one of the main modes of capacity sharing in the shipping alliance, the essence of which is the space mutual rent transaction among members. However, under the current trading system, the sharing of capacity between shipping enterprises requires a lot of transaction costs and communication costs, cooperation efficiency is not high, and there is a certain competitive relationship between enterprises, they work for their own interests, resulting in more difficult cooperation, and blockchain consensus mechanism, intelligent contracts, distributed bookkeeping and other characteristics can solve these problems of alliance cooperation. Therefore, based on the idea of blockchain, this paper designs a model of mutual lease cooperation in shipping union cabins, gives the model and process of mutual lease transactions based on blockchain, realizes mutual trust and win-win situation among members, simulates through the combination of Hyperledger Fabric and Matlab, and verifies the applicability of blockchain to shipping alliance capacity sharing cooperation.

Keywords:

Shipping alliance; Blockchain; Class rent; Benefit distribution

References

[1] Chao S, Lai C. Comparing the efficiency of alli ance members and independent liner carriers: a metafrontier analysis[J]. Maritime economics and logistics, 2019, 21(2): 157-172.

[2] Qiu X, Wong E Y C, Lam J S L. Evaluating eco nomic and environmental value of liner vessel sharing along the maritime silk road[J]. Maritime Policy & Management, 2018, 45(3): 336-350.

[3] Jihong Chen, Hong Zhen, Beihua Zong. Analysis of the decision-making on the lease and allocation of the liner slots of the alliance[J]. China Navigation, 2008, 31(04): 420-423.

[4] Kai Xu. The new crown pneumonia epidemic catalyzes the digital transformation of shipping[N]. China Communications News, 2020-03-16 (003).

[5] Rongqian Li. The trend of digital shipping alliance is rising[N]. China Water Transport News, 2019-05-29 (001).

[6] Shirani A. Blockchain for global maritime logis tics[J]. Issues in Information Systems, 2018, 19(3).

[7] Wenting Zhao, Meng Shen, Zhixin Jin, etc. Research on Intelligent Power Transaction under Blockchain Technology[J]. Journal of Taiyuan University of Technology, 2020, 51(03): 331-337.

[8] Matteo Troncia, Marco Galici. Distributed Ledger Technologies for Peer-to-Peer Local Markets in Distribution Networks[J]. Energies, 2019 12(17): 3249.

[9] Agarwal R,Ergun Ö. Mechanism design for a mul ticommodity flow game in service network alliances[J].Operations Research Letters, 2008, 36(5): 520- 524.

[10] Dewen Wang, Zhiquan Liu. Regional energy transaction model and experimental test based on smart contract[J]. Power System Technology, 2019, 43(06): 2012-2016.

[11] Yi Wang, Huihui Zhao, Xingzhe Hou, etc. Microgrid distributed electric energy transaction model based on chain code and multi-stage hybrid auction mechanism[J]. Power System Technology, 2020, 44(04): 1302-1309.

[12] Kang Zhu. Research on key technologies of decentralized energy trading based on blockchain-based energy Internet[D]. Changsha University of Science and Technology, 2018.

[13] Weifeng Lin, Mo Yuchang. Hyperledger Fabric blockchain development combat in practice[M]. Beijing: People’s Posts and Telecommunications Press, 2020.

[14] Androulaki E, Barger A, Bortnikov V, el al. Hyperledger Fabric: a distributed operating system for permissioned blockchains[C]. Proceedings of the Thirteenth EuroSys Conference. ACM, 2018: 30.

[15] Jian Wang, Niancheng Zhou, Qianggang Wang, etc. Microgrid direct transaction mode and strategy based on blockchain and continuous double auction mechanism[J]. Proceedings of the Chinese Society of Electrical Engineering, 2018, 38(17): 5072-5084+5304 .

[16] Zengjun Zhang, Ning Dong, Xuantong Zhu. In-depth exploration of blockchain: hyperledger technology and application[M]. Beijing: Mechanical Industry Press, 2017: 412-504.

[17] Gjerstad S. Price formation in double auction[J]. Gamesand Economic Behavior,1998, 22(1): 1-29.

[18] Shengfeng Chen, Chengjian Wei. Rational strategy in the environment of continuous double auction with limited resources[J]. Computer Engineering and Applications, 2011, 47(15): 241-244+248.

Downloads

Issue

Vol. 4 , Iss. 1 (January 2021)

Article Type

Articles

License

Copyright and Licensing

The authors shall retain the copyright of their work but allow the Publisher to publish, copy, distribute, and convey the work.

Journal of Business Administration Research publishes accepted manuscripts under Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). Authors who submit their papers for publication by Journal of Business Administration Research agree to have the CC BY-NC 4.0 license applied to their work, and that anyone is allowed to reuse the article or part of it free of charge for non-commercial use. As long as you follow the license terms and original source is properly cited, anyone may copy, redistribute the material in any medium or format, remix, transform, and build upon the material.

License Policy for Reuse of Third-Party Materials

If a manuscript submitted to the journal contains the materials which are held in copyright by a third-party, authors are responsible for obtaining permissions from the copyright holder to reuse or republish any previously published figures, illustrations, charts, tables, photographs, and text excerpts, etc. When submitting a manuscript, official written proof of permission must be provided and clearly stated in the cover letter.
The editorial office of the journal has the right to reject/retract articles that reuse third-party materials without permission.

Journal Policies on Data Sharing

We encourage authors to share articles published in our journal to other data platforms, but only if it is noted that it has been published in this journal.