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Revenue allocation for interfirm collaboration on carbon emission reduction: complete information in a big data context

Author

Listed:
  • Bin Zhang

    (Beijing Institute of Technology
    Center for Sustainable Development and Smart Decision
    Beijing Institute of Technology)

  • Qingyao Xin

    (Beijing Institute of Technology
    Center for Sustainable Development and Smart Decision)

  • Min Tang

    (Beijing Institute of Technology
    Center for Sustainable Development and Smart Decision)

  • Niu Niu

    (Beijing Institute of Technology)

  • Heran Du

    (Beijing National Day School)

  • Xiqiang Chang

    (State Grid Xinjiang Electric Power Co.Ltd)

  • Zhaohua Wang

    (Beijing Institute of Technology
    Center for Sustainable Development and Smart Decision
    Beijing Institute of Technology)

Abstract

Though interfirm collaboration on carbon emission reduction, the cross-enterprise flow of emission reduction resources and improved efficiency in greenhouse gas reduction can be realized. Especially in the context of big data, enterprises can find suitable partners for emission reduction faster and more accurately through interfirm collaboration. However, similar to other cooperative modes, revenue allocation is the key to ensuring the stability of the collaborative emission reduction system. Based on the premise of carbon trading, this paper discusses revenue allocation among enterprises participating in the collaborative emission reduction process under complete information in a big data context. Specifically, we constructed a Shapley value analysis model of revenue allocation for interfirm collaboration on carbon emission reduction, and amended this model with investment cost and risk-bearing. Consequently, this research provides not only a theoretical basis for solving the problem of revenue distribution in the process of collaborative emission reductions among enterprises but also a theoretical guide for enterprises countermeasures following the completion of China's future carbon trading mechanism.

Suggested Citation

  • Bin Zhang & Qingyao Xin & Min Tang & Niu Niu & Heran Du & Xiqiang Chang & Zhaohua Wang, 2022. "Revenue allocation for interfirm collaboration on carbon emission reduction: complete information in a big data context," Annals of Operations Research, Springer, vol. 316(1), pages 93-116, September.
    • Handle: RePEc:spr:annopr:v:316:y:2022:i:1:d:10.1007_s10479-021-04017-z
    DOI: 10.1007/s10479-021-04017-z
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