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A regional allocation of world CO2 emission reductions

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  • Filar, J.A.
  • Gaertner, P.S.

Abstract

This paper demonstrates two independent methodologies for the regional allocation of world greenhouse gas emission reductions; one based on mathematical programming and the other on a game theoretic method known as the Shapley value. Both methodologies make use of the solution of a world emission reduction problem that exploits techniques of mathematical programming to produce an optimal world emission reduction strategy, by maximizing an economic utility function. The analysis illustrates that allocations of regional CO2 emission reductions are not only methodology dependent but also sensitive to targets placed on global CO2 concentrations.

Suggested Citation

  • Filar, J.A. & Gaertner, P.S., 1997. "A regional allocation of world CO2 emission reductions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 269-275.
    • Handle: RePEc:eee:matcom:v:43:y:1997:i:3:p:269-275
    DOI: 10.1016/S0378-4754(97)00009-8
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    Cited by:

    1. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    2. Yanbin Li & Zhen Li & Min Wu & Feng Zhang & Gejirifu De, 2018. "Regional-Level Allocation of CO 2 Emission Permits in China: Evidence from the Boltzmann Distribution Method," Sustainability, MDPI, vol. 10(8), pages 1-16, July.
    3. Zhang, Yue-Jun & Wang, Ao-Dong & Da, Ya-Bin, 2014. "Regional allocation of carbon emission quotas in China: Evidence from the Shapley value method," Energy Policy, Elsevier, vol. 74(C), pages 454-464.
    4. Petrosjan, Leon & Zaccour, Georges, 2003. "Time-consistent Shapley value allocation of pollution cost reduction," Journal of Economic Dynamics and Control, Elsevier, vol. 27(3), pages 381-398, January.
    5. Wen-Hsien Tsai & Shi-Yin Jhong, 2018. "Carbon Emissions Cost Analysis with Activity-Based Costing," Sustainability, MDPI, vol. 10(8), pages 1-26, August.
    6. Xunzhang Pan & Fei Teng, 2017. "Assessment of China’s Mitigation Targets in an Effort-Sharing Framework," Sustainability, MDPI, vol. 9(7), pages 1-16, June.
    7. S. Schreider & P. Zeephongsekul & B. Abbasi & M. Fernandes, 2013. "Game theoretic approach for fertilizer application: looking for the propensity to cooperate," Annals of Operations Research, Springer, vol. 206(1), pages 385-400, July.
    8. Ciardiello, F. & Genovese, A. & Simpson, A., 2019. "Pollution responsibility allocation in supply networks: A game-theoretic approach and a case study," International Journal of Production Economics, Elsevier, vol. 217(C), pages 211-217.
    9. Hong, Jin & Guo, Xiumei & Marinova, Dora & Yang, Fengli & Yu, Wentao, 2013. "Clean development mechanism in China: Regional distribution and prospects," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 151-163.
    10. Zhang, Jingxiao & Jin, Weixing & Yang, Guo-liang & Li, Hui & Ke, Yongjian & Philbin, Simon Patrick, 2021. "Optimizing regional allocation of CO2 emissions considering output under overall efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    11. Francesco Ciardiello & Andrea Genovese & Andrew Simpson, 2020. "A unified cooperative model for environmental costs in supply chains: the Shapley value for the linear case," Annals of Operations Research, Springer, vol. 290(1), pages 421-437, July.
    12. Wen-Chi Yang & Wen-Min Lu, 2023. "Achieving Net Zero—An Illustration of Carbon Emissions Reduction with A New Meta-Inverse DEA Approach," IJERPH, MDPI, vol. 20(5), pages 1-20, February.

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