IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v43y1997i3p269-275.html
   My bibliography  Save this article

A regional allocation of world CO2 emission reductions

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475497000098
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/S0378-4754(97)00009-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    2. Wen-Hsien Tsai & Shi-Yin Jhong, 2018. "Carbon Emissions Cost Analysis with Activity-Based Costing," Sustainability, MDPI, vol. 10(8), pages 1-26, August.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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. 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.
    11. 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.
    12. 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).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:matcom:v:43:y:1997:i:3:p:269-275. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.