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

Bin Zhang, Qingyao Xin, Min Tang, Niu Niu, Heran Du, Xiqiang Chang and Zhaohua Wang ()
Additional contact information
Bin Zhang: Beijing Institute of Technology
Qingyao Xin: Beijing Institute of Technology
Min Tang: Beijing Institute of Technology
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

Annals of Operations Research, 2022, vol. 316, issue 1, No 5, 93-116

Abstract: 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.

Keywords: Collaborative emission reduction; Revenue allocation; Carbon emission reduction; Big data (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://link.springer.com/10.1007/s10479-021-04017-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:316:y:2022:i:1:d:10.1007_s10479-021-04017-z

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-021-04017-z

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().