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On input-output economic models in disaster impact assessment

In this paper, the author review and discuss how different disaster modeling aspects have been incorporated in recent contributions exploiting I/O techniques, taking into account both demand- and supply-sided perturbation triggers, static and dynamic representations, as well as the assessment of economic resilience. | International Journal of Disaster Risk Reduction 30 (2018) 186–198 Contents lists available at ScienceDirect International Journal of Disaster Risk Reduction journal homepage: www.elsevier.com/locate/ijdrr On input-output economic models in disaster impact assessment ⁎ T Luca Galbusera , Georgios Giannopoulos European Commission, DG Joint Research Centre (JRC), Directorate E - Space, Security and Migration, Technology Innovation in Security Unit, Via Enrico Fermi 2749, 21027 Ispra, VA, Italy A R T I C LE I N FO A B S T R A C T Keywords: Input-output economic models Disasters Cascading effects Economic resilience During the last decades, input-output (I/O) economic models have assumed a prominent role in disaster impact analysis and resilience assessment. Rooted in general equilibrium theory and economic production theory, they catalyse attention on the distinction between direct economic losses and ripple effects that may be generated inside a multi-industry system as a consequence of perturbations. Empowering the I/O analysis framework and overcoming some of its inherent limitations is crucial in order to successfully approach emerging disaster assessment challenges, such as multi-regional loss quantification and the investigation of shock responses in global supply chains. In this paper, we review and discuss how different disaster modeling aspects have been incorporated in recent contributions exploiting I/O techniques, taking into account both demand- and supply-sided perturbation triggers, static and dynamic representations, as well as the assessment of economic resilience. 1. Introduction In [1], disaster has been defined as the set of “consequences of a natural or man made hazard”. Considering the multi-faceted nature of primary triggers and outcomes encompassed by this definition, today one of the core research areas in disaster analysis is related to the assessment of resulting spillover effects in networked systems and societies. A critical review of .