Reward-penalty Mechanism for Reverse Supply Chain Network with Asymmetric Information and Carbon Emission Constraints
Xiao-qing Zhang, Xi-gang Yuan

TL;DR
This paper analyzes how government reward-penalty mechanisms influence reverse supply chain decisions under asymmetric information and carbon constraints across different decision-making models, revealing impacts on recycling rates, pricing, and emission levels.
Contribution
It develops a comprehensive game-theoretic framework for reverse supply chains with reward-penalty mechanisms considering asymmetric information and emission constraints, comparing centralized and decentralized models.
Findings
Reward-penalty for both emissions and recycling increases recycling rates and buy-back prices.
Carbon emission constraints lead to higher retail prices for new products.
No clear relationship between retail prices under different reward-penalty schemes.
Abstract
We discuss the government's reward and penalty mechanism in the presence of asymmetric information and carbon emission constraint when downstream retailers compete in a reverse supply chain network. Considering five game models which are different in terms of the coordination structure of the reverse supply chain network and power structure of the reward-penalty mechanism: (1) the reverse supply chain network centralized decision-making model; (2) the reverse supply chain network centralized decision-making model with carbon emission constraint; (3) the retailers' competition reverse supply chain network decentralized decision-making model; (4) the retailers' competition reverse supply chain network decentralized decision-making model with carbon emission constraint; (5) the retailers' competition reverse supply chain network decentralized decision-making model with carbon emission…
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Taxonomy
TopicsSustainable Supply Chain Management · Environmental Sustainability in Business · Supply Chain and Inventory Management
