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Inclined analysis of water diversion project supply chain profits in the occurrence of whole supply chain damage in undeveloped regions of China

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  • Hong Wang
  • Syed Zaheer Abbas
  • Z Mahmoud

Abstract

The main objective of this research is the water redistribution supply network project, which includes the water transportation company and the water work. The innovative regulatory accounting approach is used to build non-cooperative and helpful game models under government endowments. Different levels and types of government subsidies were then considered in terms of water availability, estimation, and benefit-sharing. Results reveal that water supply and price increase in cycles with the number of sponsors, while the cost of water work falls as sponsorships increase. Despite this, the cost of the water plant remained the same while sponsorship levels remained stable. Although the worth of the water transportation company fluctuates, the more endowments it receives when its value is lower. The appropriateness of the proposed game model was illustrated in the Nile Waterway Water Redirection Task.

Suggested Citation

  • Hong Wang & Syed Zaheer Abbas & Z Mahmoud, 2023. "Inclined analysis of water diversion project supply chain profits in the occurrence of whole supply chain damage in undeveloped regions of China," PLOS ONE, Public Library of Science, vol. 18(9), pages 1-14, September.
    • Handle: RePEc:plo:pone00:0284174
    DOI: 10.1371/journal.pone.0284174
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    References listed on IDEAS

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    1. Kuriqi, Alban & Pinheiro, António N. & Sordo-Ward, Alvaro & Garrote, Luis, 2019. "Flow regime aspects in determining environmental flows and maximising energy production at run-of-river hydropower plants," Applied Energy, Elsevier, vol. 256(C).
    2. Wu, Qiong & Ren, Hongbo & Gao, Weijun & Ren, Jianxing & Lao, Changshi, 2017. "Profit allocation analysis among the distributed energy network participants based on Game-theory," Energy, Elsevier, vol. 118(C), pages 783-794.
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