Economic Principles, Issues, and Research Priorities in Hazard Loss Estimation

By Adam Rose. 2004

398 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science, Soil Science

View Paper: https://www.semanticscholar.org/paper/60b33c823367992ff5c7d1f07a7e832e55c1f10f

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Citations in the corpus

The Economics of Natural Disasters (2010, neutral): “ Moreo‐ ver, over short timescales, local production capacity is likely to be highly constrained by existing capaci‐ ties, equipments and infrastructure.”
An Adaptive Regional Input‐Output Model and its Application to the Assessment of the Economic Cost of Katrina (2006, background): “This gain, which is discussed as a source of doublecounting in Rose (2004), is likely to be small compared with other costs.”
A Multiregional Impact Assessment Model for disaster analysis (2016, background): “CGE models, on the contrary, have the potential to underestimate the impacts because of possible extreme substitution effects and price changes (Rose, 2004), especially in the short run.”
Economic Loss Assessment due to Railroad and Highway Disruptions (2007, background): “Another property is that a basic CGE model underestimates the economic impact of a disaster because the system assumes optimal adjustments of all endogenous factors, whereas a basic I-O model generally results in an overestimation because of its rigidly linear characteristics (Rose, 2004).”
Measuring changes in international production from a disruption: Case study of the Japanese earthquake and tsunami (2012, neutral): “A variety of methods and models have been proposed for measuring the direct and indirect effects on production caused by disruptions (Rose, 2004; Okuyama, 2008).”
A framework for economic loss estimation due to seismic transportation network disruption: a spatial computable general equilibrium approach (2008, background): “A computable general equilibrium approach is a loss estimation framework that considers spillover effects of catastrophes (Rose 2004).”
Regional indirect economic impact evaluation of the 2008 Wenchuan Earthquake (2011, background): “Rose (2004), Cochrane (2004), Greenberg et al. (2007), and Wu et al. (2009) have compared different methods for assessing indirect economic losses of a disaster, including Input–Output (IO) models, Computable General Equilibrium (CGE) models, and econometric models.”
Modeling infrastructure system interdependencies and socioeconomic impacts of failure in extreme events: emerging R&D challenges (2015, methodology): “These limitations include linearity assumption, lack of behavioral content, lack of interdependence between price and output, lack of explicit resource constraints and lack of input and import substitution possibilities (Rose 2004).”
Measuring Economic Impacts of Drought: A Review and Discussion (2011, background): “Cochrane (1997) and Rose (2004) proposed to extend the definition of direct costs to include not only the physical damages but also the consequences such as business interruption and unemployment.”
Economic resilience: definition and measurement (2014, background): “Indirect losses (also labelled “higherorder losses” in Rose, 2004) include all losses that are not provoked by the disaster itself, but by its consequences; they span over a longer period of time than the event, and they affect a larger spatial scale or different economic sectors.”
Economic resilience to natural and man-made disasters: Multidisciplinary origins and contextual dimensions (2007, background): “I define static economic resilience as the ability of an entity or system to maintain function (e.g., continue producing) when shocked (see also Rose, 2004b).”
Economic Modeling for Disaster Impact Analysis: Past, Present, and Future (2007, background): “This indirect effect includes a wide array of consequences caused by direct losses, and Rose (2004) suggested that the use of higher-order effects is more appropriate, because of the conflict with the terminology used in economic models, especially the input–output (IO) model.”
Economic Vulnerability and Resilience to Natural Hazards: A Survey of Concepts and Measurements (2018, methodology): “Other useful frameworks for a macro–micro analysis include computable general equilibrium methods (as in Rose [43]), partial equilibrium analysis (such as Hallegatte, et al. [75]), and other mathematical algorithms.”