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000780927 020__ $$a9789811025679$$q(electronic book)
000780927 020__ $$a9811025673$$q(electronic book)
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000780927 035__ $$aSP(OCoLC)ocn982958111
000780927 035__ $$aSP(OCoLC)982958111
000780927 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dEBLCP$$dOCLCF$$dYDX$$dUAB
000780927 049__ $$aISEA
000780927 050_4 $$aHC79.D45
000780927 08204 $$a363.34$$223
000780927 1001_ $$aRose, Adam,$$d1948-
000780927 24510 $$aEconomic consequence analysis of disasters :$$bthe E-CAT software tool /$$cAdam Rose [and 6 others].
000780927 264_1 $$aSingapore :$$bSpringer,$$c2017.
000780927 300__ $$a1 online resource.
000780927 336__ $$atext$$btxt$$2rdacontent
000780927 337__ $$acomputer$$bc$$2rdamedia
000780927 338__ $$aonline resource$$bcr$$2rdacarrier
000780927 4901_ $$aIntegrated disaster risk management
000780927 504__ $$aIncludes bibliographical references.
000780927 5050_ $$aDedication; Foreword to the IDRiM Book Series; Japan; Disaster Prevention Research Institute; International Collaboration; Major Research Contributions; Europe; Integration via Regulation: European Union Experience; International Institute for Applied Systems Analysis (IIASA); The USA; Multidisciplinary Center for Earthquake Engineering Research; Natural Hazards Center; Center for Risk and Economic Analysis of Terrorism Events (CREATE); Low-Income Countries; National Interdisciplinary Centers in the Global North; International Centers; National and Regional Centers in the Global South
000780927 5058_ $$a3.2.1 Conversion to CGE Drivers3.2.2 Enumeration of Impact Categories; 3.3 Human Pandemic; 3.3.1 Scenario; 3.3.2 Conversion to CGE Drivers; 3.3.2.1 Additional Modeling Elements; 3.3.3 Enumeration of Impact Categories; References; Chapter 4: Computable General Equilibrium Modeling and Its Application; 4.1 Summary; 4.2 CGE Modeling; 4.3 USCGE Model; 4.4 CGE Drivers Used to Simulate E-CAT Threats; 4.5 Detailed CGE Analysis of the Human Pandemic Case; 4.5.1 Modeling Approaches and Results for Individual Impact Categories; 4.5.1.1 Workforce Participation; 4.5.1.2 Medical Expenditures
000780927 5058_ $$a4.5.1.3 Aversion BehaviorReductions in International Travel -- Inbound and Outbound; Inbound International Travel; Outbound International Travel; Domestic Tourism and Leisure Spending; Other Avoidance Behaviors; 4.5.2 Discussion of National Results; 4.5.2.1 Direct Impacts and the Cost-Effectiveness of Vaccination; 4.5.2.2 Total (CGE) Impacts; Key General Equilibrium Impacts; 4.5.2.3 Sector Impacts; Policy-Relevant (Actionable) Findings; Appendix 4A: Calculation of Input Data for Mild and Severe Influenza Outbreaks; 4.A.1 Without Vaccination; 4.A.2 With Vaccination; References
000780927 5058_ $$aChapter 5: User Interface Variables5.1 Summary; 5.2 User Interface Variable Identification; 5.3 Randomized Draws of User Interface Variable Combinations; 5.4 Conversion of Random Draw Combinations to CGE Inputs; References; Chapter 6: Estimation of the Reduced Form Coefficients for the E-CAT User Interface; 6.1 Random Sampling Procedure; 6.2 CGE Simulation with Loop Function; 6.3 Econometric Analysis; References; Chapter 7: Uncertainty Analysis; 7.1 Introduction; 7.2 Overview; 7.3 Uncertainty Quantification Tasks; 7.4 Uncertainty Representation; 7.5 Uncertainty Propagation
000780927 506__ $$aAccess limited to authorized users.
000780927 520__ $$aThis study develops a methodology for rapidly obtaining approximate estimates of the economic consequences from numerous natural, man-made and technological threats. This software tool is intended for use by various decision makers and analysts to obtain estimates rapidly. It is programmed in Excel and Visual Basic for Applications (VBA) to facilitate its use. This tool is called E-CAT (Economic Consequence Analysis Tool) and accounts for the cumulative direct and indirect impacts (including resilience and behavioral factors that significantly affect base estimates) on the U.S. economy. E-CAT is intended to be a major step toward advancing the current state of economic consequence analysis (ECA) and also contributing to and developing interest in further research into complex but rapid turnaround approaches.The essence of the methodology involves running numerous simulations in a computable general equilibrium (CGE) model for each threat, yielding synthetic data for the estimation of a single regression equation based on the identification of key explanatory variables (threat characteristics and background conditions). This transforms the results of a complex model, which is beyond the reach of most users, into a "reduced form" model that is readily comprehensible. Functionality has been built into E-CAT so that its users can switch various consequence categories on and off in order to create customized profiles of economic consequences of numerous risk events. E-CAT incorporates uncertainty on both the input and output side in the course of the analysis.
000780927 588__ $$aVendor-supplied metadata.
000780927 650_0 $$aDisasters$$xEconomic aspects.
000780927 650_0 $$aEnvironmental economics.
000780927 830_0 $$aIntegrated disaster risk management.
000780927 852__ $$bebk
000780927 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-2567-9$$zOnline Access$$91397441.1
000780927 909CO $$ooai:library.usi.edu:780927$$pGLOBAL_SET
000780927 980__ $$aEBOOK
000780927 980__ $$aBIB
000780927 982__ $$aEbook
000780927 983__ $$aOnline
000780927 994__ $$a92$$bISE