Optimal Decision-Making of Retailer-Led Dual-Channel Green Supply Chain with Fairness Concerns under Government Subsidies
Lei Song,
Qi Xin,
Huilin Chen (),
Lutao Liao and
Zheyi Chen
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Lei Song: College of Economics and Trade, Fujian Jiangxia University, Fuzhou 350108, China
Qi Xin: College of Economics and Trade, Fujian Jiangxia University, Fuzhou 350108, China
Huilin Chen: College of Economics and Trade, Fujian Jiangxia University, Fuzhou 350108, China
Lutao Liao: College of Economics and Trade, Fujian Jiangxia University, Fuzhou 350108, China
Zheyi Chen: College of Computer and Data Science, Fuzhou University, Fuzhou 350116, China
Mathematics, 2023, vol. 11, issue 2, 1-16
Abstract:
Green innovation is the inevitable trend in the development of the supply chain, and thus the government adopts subsidy policies for the relevant enterprises to enhance their enthusiasm for green development. In view of the manufacturers’ fairness concerns in the dual-channel green supply chain that is composed of manufacturers and retailers, we propose a novel Stackelberg game model led by retailers and analyze the impact of manufacturers’ fairness concerns on the decision-making of manufacturers and retailers in the dual-channel green supply chain under government subsidies. The results show that only the wholesale price of products, manufacturers’ profits, and retailers’ profits are affected by manufacturer’s fair concerns. When manufacturer has fair concerns, product greenness and profits of supply chain members rise with the increase in government subsidies. The results can offer an effective reference for the dual-channel supply chain members with fairness concerns to make optimal decisions under government subsidies.
Keywords: government subsidies; dual-channel green supply chain; fairness concerns; retailer-led (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:11:y:2023:i:2:p:284-:d:1026143
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