When green meets economic: Blockchain adoption, channel conflict, and sustainable remanufacturing strategies
Abstract
Amid increasingly stringent environmental regulations and Chinese “dual-carbon” goals, the manufacturing sector faces simultaneous pressures of economic performance and environmental responsibility. Remanufacturing, with its advantages in energy savings, emissions reduction, and resource reuse, has become a key pathway to green manufacturing; however, market growth is hampered by consumers’ distrust of product quality and information opacity. This study incorporates potential manufacturer encroachment and introduces blockchain technology into the remanufacturing market. We build a two-echelon supply chain model consisting of a manufacturer and a retailer, and develop three variants: a baseline model, a blockchain cost-sharing model, and a manufacturer-encroachment model. Using a Stackelberg game framework, we analyze the optimal decisions and profit outcomes of the manufacturer and the retailer under different blockchain cost levels, degrees of consumer awareness, and encroachment intensities. The results show that blockchain enhances consumer trust by improving information transparency, but its economic benefits depend critically on implementation costs and consumers’ understanding of product information. When encroachment intensity is moderate, both the manufacturer and the retailer can achieve a win–win outcome, with higher overall supply-chain efficiency and increased sales of remanufactured products. Further analysis reveals a misalignment between the manufacturer’s profit-maximizing point and the environmentally optimal outcome; this can be reconciled through piecewise government subsidies. This paper enriches research at the intersection of blockchain and green supply-chain governance and provides theoretical guidance and practical implications for firms formulating remanufacturing strategies and for policymakers designing green incentive mechanisms.
Fields of Study & Subjects
Sustainable Supply Chain Management
Supply Chain and Inventory Management
Recycling and Waste Management Techniques
Publication details
- Journal / source
- International Journal of Industrial Engineering Computations
- Publisher
- Growing Science
- Volume
- 17
- Issue
- 2
- Pages
- 785–804
- Publication date
- 1 January 2026