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Comparative evaluation for recycling waste power batteries with different collection modes based on Stackelberg game

斯塔克伯格竞赛 废品 利润(经济学) 供应链 业务 竞赛(生物学) 环境经济学 电池(电) 产业组织 经济 自然资源经济学 商业 功率(物理) 微观经济学 营销 工程类 生物 物理 量子力学 生态学 机械工程
作者
Qingqing Sun,Hong Chen,Ruyin Long,Qianwen Li,Han Huang
出处
期刊:Journal of Environmental Management [Elsevier BV]
卷期号:312: 114892-114892 被引量:80
标识
DOI:10.1016/j.jenvman.2022.114892
摘要

The new energy vehicle industry is booming, but the subsequent problem of vehicle power batteries' "scrap tide" is still severe. How to establish and improve the end-of-life power battery recycling system to avoid the "catastrophic" environmental consequences has become an urgent global problem needing a solution. This article constructs three recycling models for manufacturer recycling, retailer recycling, and mixed recycling. By using Stackelberg game and market real data, the influence of carbon trading policy outside the supply chain, power battery endurance capacity and advertising effects within the supply chain on the selection of recycling channels was studied. The results showed: (1) Different recycling channels did not affect the wholesale price, retail price, and market demand for raw material power batteries in the positive supply chain; (2) The total profit function of manufacturers and retailers had a "U-shaped" non-linear relationship with power battery endurance capacity and has a positive linear relationship with the advertising effect. Taking the R&D endurance capacity of 0.4 and the total endurance capacity of 62 kWh as the lowest dividing point, it will decrease first and then increase; (3) The increase in the recycling competition coefficient had a greater impact on the consumption of carbon emission rights in the mixed recycling model than on savings in carbon emission rights, and retailers were the indirect "victims" of rising carbon trading prices; (4) Endurance capacity, advertising effects, and carbon trading prices determined the economics of the recycling model and the carbon emission reduction potential. Manufacturers, retailers, and governments can refer to the value range of each variable to select the most appropriate recycling mode.
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