A multi-weight fuzzy Methodological Framework for Allocating Coalition Payoffs of Joint Water Environment Governance in Transboundary River Basins
Liang Yuan,
Xia Wu (),
Weijun He,
Yang Kong,
Thomas Stephen Ramsey and
Dagmawi Mulugeta Degefu
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Liang Yuan: China Three Gorges University
Xia Wu: China Three Gorges University
Weijun He: China Three Gorges University
Yang Kong: Hohai University
Thomas Stephen Ramsey: China Three Gorges University
Dagmawi Mulugeta Degefu: China Three Gorges University
Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2022, vol. 36, issue 9, No 25, 3367-3384
Abstract:
Abstract To ensure transboundary river basins are protected as a system, forming water environment governance coalitions is important. However, accurate determination and allocation of the payoffs of joint environment governance under uncertain conditions is a challenging task. This study used a triangular fuzzy number to describe the payoff and solve the fuzzy allocation problem. The article also considered the importance of different coalitions and the effectiveness of the distribution. In addition, the authors constructed a multi-weight fuzzy allocation quadratic programming model and proposed an analytical solution to determine the triangular fuzzy allocation payoffs. These contributions were used to allocate the coalition payoff of basin-wide environment governance, and the Zhanghe River Basin is used as a case study. The results showed that the model produces outputs comparable with the Shapley value allocation method. Therefore, the proposed methodological framework can be used as an alternative allocation scheme that provides a reasonable solution during uncertainty.
Keywords: Fuzzy allocation; Transboundary River Basins; Water Environment Governance; Coalition payoff (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:36:y:2022:i:9:d:10.1007_s11269-022-03206-0
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DOI: 10.1007/s11269-022-03206-0
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