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Game Analysis of Container Ports Co‐Competition and Coordinated Development in Guangdong‐Hong Kong‐Macao Greater Bay Area

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  • Shan Liang
  • Xuanfei Wang
  • Zhenjie Liao

Abstract

The port groups of the Guangdong‐Hong Kong‐Macao Greater Bay Area faces a new competitive and cooperative game structure concerning global competition, making it is necessary to build a comprehensive port coordination and development mechanism. In this study, we apply the logistics model to conduct parameter estimation and evolution trend analysis on the development of the port group and highlight that the current container throughput of the Guangdong‐Hong Kong‐Macao Greater Bay Area port group will reach the maximum and the new impetus is needed to push it into the next round of development and evolution. Combined with the theory of ecological population, the Lotka–Volterra model of multiple groups is introduced to study competition and cooperation game, explore their interaction, and provide quantitative support for the formation of different central port groups in the Guangdong‐Hong Kong‐Macao Greater Bay Area. The study provides references for strengthening the construction of complementary resources and coordinated mechanism within the port group, realizing the differential development between ports in the Guangdong‐Hong Kong‐Macao Greater Bay Area.

Suggested Citation

  • Shan Liang & Xuanfei Wang & Zhenjie Liao, 2023. "Game Analysis of Container Ports Co‐Competition and Coordinated Development in Guangdong‐Hong Kong‐Macao Greater Bay Area," Mathematical Problems in Engineering, John Wiley & Sons, vol. 2023(1).
    • Handle: RePEc:wly:jnlmpe:v:2023:y:2023:i:1:n:1659050
    DOI: 10.1155/2023/1659050
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    1. Buenstorf, Guido, 2000. "Self-organization and sustainability: energetics of evolution and implications for ecological economics," Ecological Economics, Elsevier, vol. 33(1), pages 119-134, April.
    2. Sun, Jiasen & Yuan, Yang & Yang, Rui & Ji, Xiang & Wu, Jie, 2017. "Performance evaluation of Chinese port enterprises under significant environmental concerns: An extended DEA-based analysis," Transport Policy, Elsevier, vol. 60(C), pages 75-86.
    3. Xuanfei Wang & Shan Liang & Zhenjie Liao & Nan-Jing Huang, 2022. "Integration, Game, and Sustainable Development of Shenzhen Port Based on Governmental Regulations," Journal of Mathematics, Hindawi, vol. 2022, pages 1-11, September.
    4. Linqi Huang & Shaofeng Wang & Xin Cai & Zhengyang Song, 2022. "Mathematical Problems in Rock Mechanics and Rock Engineering," Mathematics, MDPI, vol. 11(1), pages 1-3, December.
    5. Joost Hintjens, 2018. "A conceptual framework for cooperation in hinterland development between neighbouring seaport authorities," Maritime Policy & Management, Taylor & Francis Journals, vol. 45(6), pages 819-836, August.
    6. Xuanfei Wang & Shan Liang & Zhenjie Liao, 2022. "Integration, Game, and Sustainable Development of Shenzhen Port Based on Governmental Regulations," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
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