Author
Listed:
- Jietan Geng
(China Academy of Industrial Internet, Beijing 100102, China
Key Laboratory of Urban Safety Risk Monitoring and Early Warning, Ministry of Emergency Management, Shenzhen Technology Institute of Urban Public Safety, Shenzhen 518023, China)
- Duo Shang
(China Academy of Industrial Internet, Beijing 100102, China
Key Laboratory of Urban Safety Risk Monitoring and Early Warning, Ministry of Emergency Management, Shenzhen Technology Institute of Urban Public Safety, Shenzhen 518023, China)
- Mingxu Yu
(China Academy of Industrial Internet, Beijing 100102, China
Key Laboratory of Urban Safety Risk Monitoring and Early Warning, Ministry of Emergency Management, Shenzhen Technology Institute of Urban Public Safety, Shenzhen 518023, China)
- Jiyao Yin
(Key Laboratory of Urban Safety Risk Monitoring and Early Warning, Ministry of Emergency Management, Shenzhen Technology Institute of Urban Public Safety, Shenzhen 518023, China
Shenzhen Key Laboratory of Urban Disasters Digital Twin, Shenzhen 518023, China)
- Zhangyu Chang
(Key Laboratory of Urban Safety Risk Monitoring and Early Warning, Ministry of Emergency Management, Shenzhen Technology Institute of Urban Public Safety, Shenzhen 518023, China
Shenzhen Key Laboratory of Urban Disasters Digital Twin, Shenzhen 518023, China)
- Chengjie Zheng
(Dongling School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China)
Abstract
The rise of “Internet + Recycling” platforms is transforming the domestic waste management landscape, creating dual-channel reverse supply chains where new platforms interact with traditional recyclers. However, these platforms face critical strategic decisions regarding their service portfolios (convenient but costly door-to-door vs. economical fixed-point drop-off) and their relationship with incumbents (cooperation vs. competition). This study aims to determine the optimal pricing, service level, and relationship strategies for an “Internet + Recycling” center to maximize profitability under the influence of consumer channel preferences and government subsidies. We developed four Stackelberg game-theoretic models representing different scenarios of service modes (fixed-point only vs. fixed-point with door-to-door) and relationship structures (cooperation vs. competition). We derived equilibrium solutions for recycling prices, service levels, and profits. Our results reveal that while cooperation generally leads to higher systemic profits, the addition of a door-to-door service significantly alters the strategic landscape. We find that a higher consumer preference for the platform channel allows the center to lower prices while increasing profits, and that government subsidies are the most effective at enhancing service levels in cooperative models. Crucially, intense competition incentivizes recycling centers to reduce rather than increase their service levels to cut costs. This research provides a decision-making framework for recycling enterprises to select optimal service and competitive strategies. It also offers insights for policymakers on how to design subsidies to effectively promote high-convenience recycling services and foster a more efficient circular economy.
Suggested Citation
Jietan Geng & Duo Shang & Mingxu Yu & Jiyao Yin & Zhangyu Chang & Chengjie Zheng, 2026.
"Service Model Selection for “Internet + Recycling” Platforms: A Game-Theoretic Analysis of Door-to-Door vs. Fixed-Point Collection,"
Sustainability, MDPI, vol. 18(2), pages 1-46, January.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:2:p:1142-:d:1846836
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