Extreme climatic events have amplified in both frequency and intensity, exerting substantial impacts on socioeconomic development. In this paper, we investigate the propagation dynamics of extreme climate risks and the rescue strategy after climate disaster via the SIRS (Susceptible-Infectious-Recovered-Susceptible) model which can capture the entire transmission process of climate risk contagion by employing simulation analysis. Our findings reveal that climate-induced shocks propagate dynamically through corporate networks, amplifying their systemic impacts. We demonstrate that post-disaster government relief can effectively curtail risk propagation, though its efficacy is contingent upon both intervention intensity and timing. Corporations establishing robust risk-mitigation frameworks prove superior in cost-effectiveness compared to governmental aid. By pioneering the application of SIRS modeling to climate risk transmission dynamics, this work advances theoretical frameworks in climate risk research while offering actionable insights for optimizing post-disaster rescue.
Wang et al. (Sun,) studied this question.