Ciardiello, F., Genovese, A. orcid.org/0000-0002-5652-4634 and Simpson, A. (2020) A unified cooperative model for environmental costs in supply chains: the Shapley value for the linear case. Annals of Operations Research, 290 (1-2). pp. 421-437. ISSN 0254-5330
Abstract
This paper provides a normative framework based on cooperative game theory aimed at studying the problem of pollution responsibility allocation across multi-tier supply chains. The model is further developed with reference to the case of a linear supply chain, by using three responsibility principles (namely: Upstream, Downstream and Local Responsibility). Allocation rules are derived; also, desirable properties in terms of fairness, efficiency and transparency are introduced, in order to characterize such rules. Furthermore, a stability concept for efficient allocations is formulated. An example of a possible application of the introduced cost allocation rules is provided.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
Keywords: | Supply chains; Pollution responsibility allocation; Game theory; Shapley value |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 734909 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 05 Sep 2018 12:18 |
Last Modified: | 25 Apr 2024 11:31 |
Status: | Published |
Publisher: | Springer Verlag |
Refereed: | Yes |
Identification Number: | 10.1007/s10479-018-3028-3 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:135265 |
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