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Regional Cooperation in Marine Plastic Waste Cleanup in the South China Sea Region

Author

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  • Jianping Sun

    (School of Maritime Economic and Management, Dalian Maritime University, Dalian 116026, China)

  • Chao Fang

    (Department of Economics, Tufts University, Medford, MA 02155, USA)

  • Zhaohui Chen

    (School of Marine Law Humanities, Dalian Ocean University, Dalian 116023, China
    Maritime College, Hainan Vocational University of Science and Technology, Haikou 571126, China)

  • Guoquan Chen

    (School of Shipping, Jimei University, Xiamen 361021, China)

Abstract

This paper uses countries in the South China Sea Region (SCSR) as examples to study the level of regional cooperation in the marine plastic waste cleanup initiative. We designed a cooperation model to investigate the “cleanup system” from the Ocean Cleanup initiative to reduce marine plastic pollution. The non-cooperative game theory was applied to regional cooperation. The simulation results indicate that the plastic waste cleanup cooperation in the SCSR is related to the plastic trade network structure, the influence parameters of the Experience-Weighted Attraction learning model, and the economic effects. The results suggest that regional cooperation in the cleanup system in the SCSR is feasible, and it could create a significantly larger investment in the cleanup project than the current project attracts. Therefore, countries in the SCSR should adjust their laws and policies to make a good cooperative environment and to maximize the contribution to the marine plastic waste cleanup.

Suggested Citation

  • Jianping Sun & Chao Fang & Zhaohui Chen & Guoquan Chen, 2021. "Regional Cooperation in Marine Plastic Waste Cleanup in the South China Sea Region," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9221-:d:616066
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    References listed on IDEAS

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    1. Colin Camerer & Teck-Hua Ho, 1999. "Experience-weighted Attraction Learning in Normal Form Games," Econometrica, Econometric Society, vol. 67(4), pages 827-874, July.
    2. Ho, Teck H. & Camerer, Colin F. & Chong, Juin-Kuan, 2007. "Self-tuning experience weighted attraction learning in games," Journal of Economic Theory, Elsevier, vol. 133(1), pages 177-198, March.
    3. Jasmina Arifovic & John Ledyard, 2004. "Scaling Up Learning Models in Public Good Games," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 6(2), pages 203-238, May.
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    Cited by:

    1. Nesreen El-Rayes & Aichih (Jasmine) Chang & Jim Shi, 2023. "Plastic Management and Sustainability: A Data-Driven Study," Sustainability, MDPI, vol. 15(9), pages 1-15, April.
    2. David Carfí & Alessia Donato, 2022. "Plastic-Pollution Reduction and Bio-Resources Preservation Using Green-Packaging Game Coopetition," Mathematics, MDPI, vol. 10(23), pages 1-20, December.

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