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Prepare the umbrella before it rains

Transmission and rescue strategy of extreme climate shocks via susceptible-infectious-recovered-susceptible model

Bibliographic Data

ID21583644
AuthorsQian Wang (0000-0002-8601-749X, Shandong University of Finance and Economics, corresponding author), Fang Nan (Shandong University of Finance and Economics), Yuling Luo (0000-0002-2428-2423, Shandong University of Finance and Economics)
Year2026
Volume244
Pages108966
Publication date2026-06-01
Open AccessYes
TypeARTICLE
VenueEcological Economics (JOURNAL)
Journal identifiersISSN: 0921-8009 • E-ISSN: 1873-6106
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ecolecon.2026.108966
OpenAlexW7128906773
LanguageEN
References cited48

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

Climate change · Climate model · Extreme weather · Global warming · Risk management · Disaster Management and Resilience · Flood Risk Assessment and Management · Infrastructure Resilience and Vulnerability Analysis

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