Research on Dynamic Emission Reduction Strategies Considering Reference Low-Carbon and Altruistic Preferences Under Cap-and-Trade
The issue of climate change is becoming increasingly severe,and today's businesses need to shift from previous economic-centric thinking to an environmen-tally friendly economic dual-focused mindset,actively participating in carbon emis-sion reduction.To analyze the long-term emission reduction decisions of manufactur-ers and retailers in the supply chain under carbon quota trading,we introduce the concept of low-carbon goodwill to describe the impact of reference low-carbon prac-tices on market demand.Considering members'altruistic preferences,we construct four Stackelberg differential game models:Centralized decision-making,decentralized decision-making,manufacturer altruism and retailer altruism.These models analyze the optimal equilibrium strategies for members in different scenarios and compare them.The results show that strict carbon trading policies can motivate companies to reduce carbon emissions,but the adverse effects of reference low-carbon levels should not be ignored.Altruistic behavior effectively weakens these adverse effects,lead-ing to Pareto improvements in the carbon reduction levels of manufacturers and the low-carbon promotion levels of retailers,promoting companies'green and low-carbon transformations.Compared to scenarios where manufacturers exhibit altruistic be-havior,retailers'altruism brings greater returns to the low-carbon supply chain.
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