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Title: Contract design with information asymmetry in a supply chain under an emissions trading mechanism
Authors: Ma, X
Ho, W
Ji, P 
Talluri, S
Issue Date: Feb-2018
Source: Decision sciences, Feb. 2018, v. 49, no. 1, p. 121-153
Abstract: We aim to design an appropriate sourcing mechanism with information asymmetry in a supply chain with one manufacturer and multiple suppliers subject to an emissions trading scheme. The manufacturer purchases raw materials from suppliers, who hold private information regarding the green degree—that is, the unit emission rates—of their raw materials. An appropriate strategy must be adopted by the manufacturer for the contract design, including a series of payments and the order quantities; the suppliers are subsequently invited to bid for the contracts. The basic model is formulated to assist the manufacturer in designing a reasonable contract for a single supplier. The characteristics of the optimal order quantity and payoff functions of both the manufacturer and supplier are analyzed. A competitive procurement scenario with multiple suppliers is also discussed. With respect to the diversity of auctions, three different auction types are analyzed, including a green degree auction, a price auction with emissions targets, and a performance-based auction. In addition, an efficient emissions trading policy is established to guide manufacturers regarding how to balance their emission allowances based on the optimal order quantities. Our approach provides an effective decision support system for both the manufacturer and suppliers.
Keywords: Asymmetric information
Contract design
Emissions trading
Green procurement
Publisher: Wiley-Blackwell Publishing, Inc.
Journal: Decision sciences 
ISSN: 0011-7315
EISSN: 1540-5915
DOI: 10.1111/deci.12265
Rights: © 2017 Decision Sciences Institute
This is the peer reviewed version of the following article: Ma, X., Ho, W., Ji, P., & Talluri, S. (2018). Contract Design with Information Asymmetry in a Supply Chain under an Emissions Trading Mechanism. Decision Sciences, 49(1), 121–153, which has been published in final form at https://doi.org/10.1111/deci.12265. 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.
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