As climate-related disasters intensify, developing effective mitigation and adaptation policies requires measuring the resilience of socio-economic systems. This study proposes a threshold-based resilience measurement framework grounded in input-output disaster analysis. Leveraging a global multi-regional input-output table, we introduce a novel negligible-loss threshold to identify non-resilient sectors and regions, and to quantify post-disaster system losses. Applying the method to marine heatwaves impacting blue food systems in North America and Pacific OECD countries, we evaluate the applicability of four input-output disaster models for resilience measurement. In this context, resilience is captured through transaction trade-off, adaptive capacity through resource reallocation, and adjustment capacity through micro-level input substitution. We find that input-output disaster models that lack substitution mechanisms, or allow only limited production optimization, systematically overestimate post-disaster system losses. Incorporating substitution mechanisms effectively avoids such overestimation, underscoring the pivotal role of adjustment capacity in mitigating disaster impacts and enhancing the blue food systems resilience. The proposed resilience measurement framework is applicable to both sudden-onset disasters and slow-onset production shocks, offering a practical tool for resilience analysis and risk-informed policy development.
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