## 1 Introduction
Regarding the impact of manufacturers, [PERSON] [10] discussed the impact of the recycling rate of discarded electronic products on the optimal pricing strategy of remanufacturers; [PERSON] [11] and others constructed a double for the manufacturer-oriented Stackelberg game model. Regarding the cycle and single-cycle pricing models, [PERSON] [12] and others, based on the dual-channel model, analyzed the impact of the recycling channel competition coefficient on the profit level of CLSC and effectively solved model defects through recycling coordination contracts; for the influence of each member's decision making, the advantages and disadvantages of the degree of fair concern and the increase or decrease in profit under differential pricing decisions were discussed by [PERSON] et al. [13]. According to [PERSON] et al. [14], in the competitive environment between the original manufacturer and the remanufacturer, the profitability of different decision models is not influenced by the competition model of the patent licensing mechanism; [PERSON] et al. [15] considered the changes in the market demand of short life-cycle electronic products for the supply chain binary and found perturbations in the collaborative relationship between members. However, most of the studies in the literature only consider the impact of various member companies within the supply chain on the pricing model and ignore the impact of consumer behavior on the CLSC. According to research in behavioral economics, consumers focus on service levels while purchasing products, such as unconditional refunds and free after-sales maintenance services (high-technology electronic products industries) within a limited period, which plays an important role in consumers' purchase strategy choices. Simultaneously, with the expansion of remanufacturing production requirements, many companies adopt the \"new-for-new\" model to increase the service factor while increasing the recycling scale. For example, for a specific user group, DJI Innovation provides DJICARE services for new products. For the loss caused by accidents or abnormal performance of products, consumers can replace the used products and utilize the official warranty service. Therefore, the service level not only affects the pricing decision of the company, but also affects the overall efficiency of the CLSC system. [PERSON] et al. [16] evaluated the impact of 32 pressures on the industry based on the impact of the GSCM and used two independent assumptions to test the nature of the impact and the extent of impact differences. [PERSON] [17] studied pricing decisions and coordination mechanisms in closed-loop supply chains based on the differentiated willingness of consumers to pay for products (willingness to pay). [PERSON] [18] further expanded the consumer utility function of Debo [19] and obtained a differential pricing model in the context of consumer preferences for new products and remanufactured products. [PERSON] [20] studied the uncertain demanding manufacturers' pricing strategies and service cooperation problems; however, [PERSON] [21] and others have found that product prices are closely related to customer sensitivity coefficients and used sales compensation-service cost sharing contracts to optimize the product service supply chain profits. However, for further improvement, the following questions arise: How does consumer preference influence service level decision making? From the perspective of government subsidies and consumer preferences, how does retreading affect the pricing of new and remanufactured products and the choice of service strategies? These problems have become the issues that need to be considered urgently in the real management practices of enterprises and decision makers. To summarize, based on the existing research, this paper considers the consumer preference for green remanufacturing products (remanufactured products, refurbished products) and discusses the issues of differential pricing and coordination decision making of CLSCs from the perspective of dynamic gaming.