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A sustainable approach for exploiting cross-border nonrenewable resources using hybrid Game Theory and Ordinal Priority Approach

Author

Listed:
  • Mahmoudi, Amin
  • Sadeghi, Mahsa
  • Deng, Xiaopeng
  • Mardani, Abbas

Abstract

Throughout history, cross-border resources have been a major cause of conflicts and tensions among countries. Typically, involved countries put all their capacities into exploiting nonrenewable resources as much as possible to gain maximum economic benefits, compared to their neighbors. Such attitude will affect the future of Earth and human life in the shared-border areas in the mid and long term. The Game Theory, despite its broad applications and popularity, cannot dissuade free-riders from their self-centered strategies toward shared nonrenewable resources due to the higher payoff. Moreover, Game Theory cannot encourage countries to employ sustainable approaches and propel them toward renewable resources. In this global-scale case, the intermediation of objective and powerful “International Organizations” is highly needed to supervise competitive games between countries and promote sustainability in players' strategies and behaviors. This study proposes a “hybrid Game Theory and Ordinal Priority Approach” as a new solution for exploiting cross-border nonrenewable resources with the view of sustainable development. The proposed framework enables international organizations to enforce the “sustainability criteria for protecting natural resources and shifting to renewables” and control “Countries’ strategies in extracting shared nonrenewable resources.” Consequently, neighbouring countries see their desired pay-offs in sustainable strategies that regenerate the environment, decarbonize the economy, and protect societies and local communities. This study continues with an illustrative case study to discuss the applicability of hybrid Game-OPA in real world under complete and incomplete datasets. Ultimately, the performance and reliability of the hybrid Game-OPA model have been checked through a sensitivity analysis, which showed how small changes in inputs could impact final decisions.

Suggested Citation

  • Mahmoudi, Amin & Sadeghi, Mahsa & Deng, Xiaopeng & Mardani, Abbas, 2024. "A sustainable approach for exploiting cross-border nonrenewable resources using hybrid Game Theory and Ordinal Priority Approach," Resources Policy, Elsevier, vol. 88(C).
  • Handle: RePEc:eee:jrpoli:v:88:y:2024:i:c:s0301420723010218
    DOI: 10.1016/j.resourpol.2023.104310
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    References listed on IDEAS

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    1. Amin Mahmoudi & Mehdi Abbasi & Xiaopeng Deng, 2022. "Evaluating the Performance of the Suppliers Using Hybrid DEA-OPA Model: A Sustainable Development Perspective," Group Decision and Negotiation, Springer, vol. 31(2), pages 335-362, April.
    2. Mollahosseini, Arash & Hosseini, Seyed Amid & Jabbari, Mostafa & Figoli, Alberto & Rahimpour, Ahmad, 2017. "Renewable energy management and market in Iran: A holistic review on current state and future demands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 774-788.
    3. Roggenburg, Michael & Warsinger, David M. & Bocanegra Evans, Humberto & Castillo, Luciano, 2021. "Combatting water scarcity and economic distress along the US-Mexico border using renewable powered desalination," Applied Energy, Elsevier, vol. 291(C).
    4. Kelly,Anthony, 2003. "Decision Making Using Game Theory," Cambridge Books, Cambridge University Press, number 9780521814621.
    5. Azimov, Ulugbek & Avezova, Nilufar, 2022. "Sustainable small-scale hydropower solutions in Central Asian countries for local and cross-border energy/water supply," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
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    1. Vaziri Rad, Mohammad Amin & Forootan Fard, Habib & Tajedini, Somayeh & Aghajani, Danyal, 2025. "Integrating multi-criteria decision making and game theory approaches to identify sustainable power supply solutions grounded in economic optimization: A case study in the abundant climates of Iran," Energy, Elsevier, vol. 338(C).
    2. Cui, Shutian & Wang, Renlong & Li, Xiaoyan & Bai, Xiuguang, 2025. "Policy-driven analysis of carbon emission efficiency under uncertainty and its application in Chinese industry: Hybrid delta-slacks-based model and ordinal priority approach," Energy, Elsevier, vol. 324(C).
    3. Shutian Cui & Renlong Wang, 2024. "A Novel {\delta}-SBM-OPA Approach for Policy-Driven Analysis of Carbon Emission Efficiency under Uncertainty in the Chinese Industrial Sector," Papers 2408.11600, arXiv.org, revised Dec 2024.

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