This study constructs a tripartite evolutionary game model involving traditional manufacturing enterprises, digital enterprises and financial institutions to analyze the dynamic interactions and equilibrium outcomes stimulated by carbon accounts and supervisory mechanisms within the textile industry at Huzhou city. This paper utilizes system dynamics to overcome the limitations of static analysis, which visually simulates the dynamic evolutionary trajectories under both pure and mixed strategies and conducts focused sensitivity analyses on critical external variables, such as regulatory costs, carbon trading prices, and green technology innovation. The findings of the study reveal that the market mechanisms alone are insufficient to overcome high regulatory and transition costs, whereas the digital technological innovation reduces cooperation barriers and fosters a virtuous cycle of financial support and technological empowerment in a mixed reward-and-penalty scenario. Our sensitivity analysis highlights the significant impact of external parameters, such as regulatory costs and carbon trading prices, on the dynamic equilibrium of the system. Additional carbon accounts and green credit are also key factors that affect the carbon emission reduction strategies of traditional manufacturing enterprises.
Liu et al. (Tue,) studied this question.