The Shapley value has practical real-world applications in economics
Multiple economic and industrial studies demonstrate that the Shapley value is widely applied in practice for fair cost-sharing, resource allocation, and market pricing.
The retrieved papers provide extensive evidence of the Shapley value being used across various real-world economic domains, including logistics, energy pricing, healthcare cost-sharing, company valuation, and power market operations. All relevant papers support the claim, and none refute it.
F. Ciardiello, A. Genovese, Shucheng Luo, Antonino Sgalambro. A game-theoretic multi-stakeholder model for cost allocation in urban consolidation centres. 2021. https://doi.org/10.1007/s10479-021-04013-3
This paper uses the Shapley value to allocate costs and evaluate real-world scenarios for urban consolidation centers.
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Lei Qin, Yingqiu Zhu, Shaonan Liu, Xingjian Zhang, Yining Zhao. The Shapley Value in Data Science: Advances in Computation, Extensions, and Applications. 2025. https://doi.org/10.3390/math13101581
This paper highlights the Shapley value as a fundamental concept in data science and economics for fair resource allocation and data valuation.
Fugui Dong, Xiaohui Ding, Lei Shi. Wind Power Pricing Game Strategy under the China’s Market Trading Mechanism. 2019. https://doi.org/10.3390/en12183456
This paper applies the Shapley value method to redistribute wind power revenues and optimize pricing under market mechanisms.
Alexander Kolker. The Concept of the Shapley Value and the Cost Allocation Between Cooperating Participants. 2018. https://doi.org/10.4018/978-1-5225-2255-3.ch182
This paper applies the Shapley value for cost sharing within healthcare bundled payment models.
Mahdi Najafi, Sajad Golshaeian, G. Gharehpetian, S. Hosseinian. Short Term Planning of Isolated Industrial Microgrids Using Shapley Value in Cooperative Game Theory for a Fair Allocation of Cost Savings. 2024. https://doi.org/10.1109/SGC64640.2024.10982892
This paper uses the Shapley value method for fair profit allocation among independent factories in microgrids.
Hyeongon Park, Kyuhyeong Kwag, Daniel K. Molzahn, Rahul K. Gupta. Fair Cost Allocation in Energy Communities: A DLMP-based Bilevel Optimization with a Shapley Value Approach. 2025. https://doi.org/10.48550/arXiv.2510.22321
This paper applies the Shapley value to allocate operating costs fairly in energy communities based on marginal contributions.
Mercik J, Gładysz B, Stach I, Staudacher J. Shapley-Based Estimation of Company Value-Concept, Algorithms and Parameters.. 2021. https://doi.org/10.3390/e23121598
This paper proposes a new method of company valuation using the Shapley value to account for ownership and personal relations in economic networks.
Xiao Gao. Economic Stimulation Signal on Power Supply Optimization From Distribution Cost Allocation Based on Shapley Value in Integrated Energy Park. 2021. https://doi.org/10.1088/1755-1315/769/4/042022
This paper utilizes the Shapley value for distribution cost allocation to optimize power supply and provide economic signals in an integrated energy park.
Longyu Zhang, Xiangyu Kong, Yue Guo, Yi Song, Yuan Ren, Yanyu Yan. Reserve Cost Allocation Method Based on the Improved Shapley Value Theory. 2024. https://doi.org/10.1109/CCSSTA62096.2024.10691766
This paper uses the Shapley value theory to allocate reserve costs among responsible parties in electricity markets.
Qiying Xu, Shiheng Ding, Yongsheng Zhu, Yanhong Meng, Junlin Yang, Yang Liu. Low-Carbon Cooperative Operation of Integrated Energy Systems Considering Joint Green Certificate and Carbon Emission Trading. 2025. https://doi.org/10.3390/en18205509
This paper employs the Shapley value method to allocate cooperative surplus and enhance economic performance in integrated energy systems.
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