Title: Research on carbon footprint reduction and smart pricing decision-making system of green energy consumption

Authors: Zheng Liu; Bin Hu; Ling-ling Lang; Hang-xin Guo; Jing-ying Sun; Kelly Florence

Addresses: School of Management, Shanghai University of Engineering Science, Shanghai 201620, China ' School of Management, Shanghai University of Engineering Science, Shanghai 201620, China ' School of Management, Shanghai University of Engineering Science, Shanghai 201620, China ' School of Management, Shanghai University of Engineering Science, Shanghai 201620, China ' School of Engineering and Technology, Northeast Forestry University, Harbin, 150010, China ' School of Management, Shanghai University of Engineering Science, Shanghai 201620, China

Abstract: Reducing carbon footprint is one of the important purposes of green energy consumption. The paper takes the secondary supply chain consisting of a single manufacturer and a single retailer as the research object, and firstly analyses the influence of the supply chain structure on the optimal decision of the game when the supply chain members have different gaming capabilities, by consideration of the optimal total profit of the supply chain system under centralised and decentralised decisions, optimal decision model of supply chain (RS model) under Retailer-Stackelberg game and the decision model of producer and retailer (N model) under Nash game are established. Finally, the advantages and disadvantages of the optimal wholesale price, the optimal carbon footprint of products, and the retailer's optimal sales price under the two games are compared.

Keywords: carbon footprint; green energy products; smart pricing; decision-making systems; complex structures; Stackelberg game; power structures; centralised decisions; decentralised decisions.

DOI: 10.1504/IJEP.2021.126977

International Journal of Environment and Pollution, 2021 Vol.69 No.3/4, pp.261 - 276

Accepted: 06 Jul 2021
Published online: 15 Nov 2022 *

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