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Abstract

This study investigates two pricing strategies within a vendor-buyer supply chain system under cap-and-trade regulation, emphasizing demand sensitivity to market price and green technology investment. The findings reveal that quantity discounts significantly enhance profitability across the supply chain by encouraging buyers to place larger orders, thereby benefiting vendors, buyers, and end consumers. A novel profit-sharing parameter is introduced to foster sustainable and mutually beneficial relationships between supply chain participants. A search algorithm is developed to determine the optimal solutions by using the profit-sharing mechanisms. The analysis yields three key insights: first, a critical cap threshold is identified, enabling supply chain participants to make informed strategic decisions based on the value of the cap; second, another critical cap threshold is derived to assist governments in setting feasible emission limits that incentivize vendors to invest in green technology—caps below this threshold may discourage such investments; third, a reasonable return on investment (ROI) benchmark is established to guide vendors in adopting effective green technology strategies. Numerical examples and sensitivity analyses are conducted to illustrate the theoretical framework and validate the findings.

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1009240
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Title
Optimizing Sustainable Supply Chains: An Analysis of Quantity-Discount Pricing Strategies Under Carbon Cap-and-Trade Regulations
Author
Xi-Bin, Lin 1   VIAFID ORCID Logo  ; Yu Jonas Chao-Pen 2 ; Kung-Jeng, Wang 3 ; Hui-Ming, Wee 4   VIAFID ORCID Logo 

 Department of Distribution Management, Takming University of Science and Technology, Taipei 114, [email protected] (J.C.-P.Y.), Department of Marketing and Logistics Management, Chihlee University of Technology, Banqiao 220305, Taiwan 
 Department of Distribution Management, Takming University of Science and Technology, Taipei 114, [email protected] (J.C.-P.Y.) 
 Department of Industrial Management, National Taiwan University of Science and Technology, Taipei 106, Taiwan; [email protected], Artificial Intelligence for Operations Management Research Center, National Taiwan University of Science and Technology, Taipei 108, Taiwan 
 Department of Industrial and Systems Engineering, Chung Yuan Christian University, Zhongli District, Taoyuan City 32022, Taiwan 
Publication title
Volume
13
Issue
11
First page
1761
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
22277390
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-05-26
Milestone dates
2025-04-12 (Received); 2025-05-16 (Accepted)
Publication history
 
 
   First posting date
26 May 2025
ProQuest document ID
3217737886
Document URL
https://www.proquest.com/scholarly-journals/optimizing-sustainable-supply-chains-analysis/docview/3217737886/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-06-11
Database
ProQuest One Academic