Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104472
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dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorMa, Xen_US
dc.creatorHo, Wen_US
dc.creatorJi, Pen_US
dc.creatorTalluri, Sen_US
dc.date.accessioned2024-02-05T08:50:14Z-
dc.date.available2024-02-05T08:50:14Z-
dc.identifier.issn0011-7315en_US
dc.identifier.urihttp://hdl.handle.net/10397/104472-
dc.language.isoenen_US
dc.publisherWiley-Blackwell Publishing, Inc.en_US
dc.rights© 2017 Decision Sciences Instituteen_US
dc.rightsThis is the peer reviewed version of the following article: Ma, X., Ho, W., Ji, P., & Talluri, S. (2018). Coordinated Pricing Analysis with the Carbon Tax Scheme in a Supply Chain. Decision Sciences, 49(5), 863–900, which has been published in final form at https://doi.org/10.1111/deci.12297. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.en_US
dc.subjectCarbon taxen_US
dc.subjectDifferential gameen_US
dc.subjectDynamic pricingen_US
dc.subjectEmissions controlen_US
dc.titleCoordinated pricing analysis with the carbon tax scheme in a supply chainen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage863en_US
dc.identifier.epage900en_US
dc.identifier.volume49en_US
dc.identifier.issue5en_US
dc.identifier.doi10.1111/deci.12297en_US
dcterms.abstractThe carbon tax is a cost-efficient scheme to curb emissions, and it has been implemented in Australia, British Columbia, and other places worldwide. We aim to analyze its effect on dynamic pricing in a supply chain with multiple suppliers and one manufacturer. The profit-maximizing manufacturer makes final products using raw materials from suppliers with heterogeneous prices and emission rates. A two-stage game model is built over an infinite time horizon for this issue. In the first stage, suppliers face price-dependent demand to set their prices and production rates under the constraint of inventory capacity. Then, in response to the carbon tax scheme, the manufacturer evaluates the procurement prices and emission rates of suppliers to control its emission volumes and sets the sales price of its product. This article predominately focuses on the optimal pricing strategies in a decentralized supply chain. The open-loop equilibrium and Markovian Nash equilibrium for the dynamic pricing game models of both suppliers and the manufacturer are derived, respectively. The equilibrium prices of suppliers and the manufacturer can be solved based on both irreversible actions and real-time states. These two types of equilibria can be regarded as the solutions of two different models in specific situations. To analyze the effect of sourcing diversity on pricing strategies and emissions control for the manufacturer, the more general equilibrium price for the manufacturer in an n-suppliers oligopoly is studied. Numerical examples are presented to illustrate the equilibrium and its monotonicity with various parameter settings.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationDecision sciences, Oct. 2018, v. 49, no. 5, p. 863-900en_US
dcterms.isPartOfDecision sciencesen_US
dcterms.issued2018-10-
dc.identifier.scopus2-s2.0-85055023877-
dc.identifier.eissn1540-5915en_US
dc.description.validate202402 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberISE-0592-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe Hong Kong Polytechnic University; The University of Melbourneen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS20786522-
dc.description.oaCategoryGreen (AAM)en_US
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