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

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.

Automated summary

This study discusses the issue of revenue distribution among enterprises participating in collaborative emission reduction process in the context of big data, proposing a Shapley value analysis model and taking into account investment costs and risk-bearing. This provides a theoretical guide for enterprises to take countermeasures following the implementation of China's future carbon trading mechanism.