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Modeling Macro Scale Disaster Risk: The CATSIM Model

  • Stefan Hochrainer-Stigler
  • Reinhard Mechler
  • Georg Pflug
Chapter
Part of the Advances in Natural and Technological Hazards Research book series (NTHR, volume 32)

Abstract

Developing countries are placing increasing emphasis on improving their preparedness for and management of disaster risk. We discuss the CATSIM (CATastropheSIMulation) model developed at IIASA for assistance in such planning exercises. CATSIM represents a simple but risk-based economic framework for evaluating economic disaster impacts, and the costs and benefits of measures for reducing those impacts. CATSIM uses stochastic simulation of disaster risks in a specified region and examines the ability of the government and private sector to finance relief and recovery. The model is interactive in the sense that the user can change parameters and test different assumptions about hazards, exposure, vulnerability, general economic conditions and the government’s ability to respond. As a capacity building tool it can illustrate the tradeoffs and choices government authorities are confronted with for increasing their economic resilience to the impacts of catastrophic events. The model can be used for supporting policy planning processes for the allocation of resources between ex-ante spending on disaster risk management (such as prevention, national reserve funds, sovereign insurance) and ex-post spending on relief and reconstruction. Our paper describes key model features and mechanics, and sets the stage for model applications to the Nepal and Hungary/Tisza cases discussed in this volume.

Keywords

Catastrophe modeling Economic impacts Government risk management Fiscal stability Development 

References

  1. Arrow KJ, Lind RC (1970) Uncertainty and the evaluation of public investment decisions. Am Econ Rev 60:364–378Google Scholar
  2. Barro RJ, Sala-I-Martin X (2004) Economic growth. MIT Press, CambridgeGoogle Scholar
  3. Benson C (1997a) The economic impact of natural disasters in Fiji. Overseas Development Institute, LondonGoogle Scholar
  4. Benson C (1997b) The economic impact of natural disasters in Viet Nam. Overseas Development Institute, LondonGoogle Scholar
  5. Benson C (1997c) The economic impact of natural disasters in the Philippines. Overseas Development Institute, LondonGoogle Scholar
  6. Burby R (1991) Sharing environmental risks: how to control governments’ losses in natural disasters. Westview Press, Boulder/ColoradoGoogle Scholar
  7. Cardenas V, Hochrainer S, Mechler R, Pflug G, Linnerooth-Bayer J (2007) Sovereign financial disaster risk management: the case of Mexico. Environ Hazards 7(1):40–53CrossRefGoogle Scholar
  8. Carpenter G in association with EQECAT with contributions from IIASA (2000) Managing the financial impacts of natural disaster losses in Mexico. Mexico Country Office/World Bank, Washington, DC/Latin and Caribbean RegionGoogle Scholar
  9. Compton KL, Faber R, Ermolieva T, Linnerooth-Bayer J, Nachtnebel HP (2009) Uncertainty and disaster risk management; modeling the flash flood risk to Vienna and its subway system. International Institute for Applied Systems Analysis. IIASA Report RR-09-002, Laxenburg, AustriaGoogle Scholar
  10. Dinwiddy C, Teal F (1996) Principles of cost-benefit analysis for developing countries. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  11. Easterly W (1999) The ghost of financing gap: testing the growth model used in the international financial institutions. J Dev Econ 60:60:424 ffCrossRefGoogle Scholar
  12. Fischer S, Easterly W (1990) The economics of the government budget constraint. World Bank Res Obs 5:127–142CrossRefGoogle Scholar
  13. Freeman PK, Martin LA, Linnerooth-Bayer J, Mechler R, Saldana S, Warner K, Pflug G (2002a) Financing reconstruction phase II background study for the inter-American development bank regional policy dialogue on national systems for comprehensive disaster management. Inter-American Development Bank, Washington, DCGoogle Scholar
  14. Freeman PK, Martin L, Mechler R, Warner K, Hausman P (2002b) Catastrophes and development, integrating natural catastrophes into development planning, Disaster risk management working paper series no.4. World Bank, Washington, DCGoogle Scholar
  15. Froot KA (2001) The market for catastrophe risk: a clinical examination. J Financ Econ 60:529–571CrossRefGoogle Scholar
  16. GTZ (2004) Risk analysis: a basis for disaster risk management guidelines. GTZ, EschbornGoogle Scholar
  17. Gurenko E (2004) Catastrophe risk and reinsurance: a country risk management perspective. Risk Books, LondonCrossRefGoogle Scholar
  18. HIPC (2002) About the HIPC initiative, Washington, DC. http://www.worldbank.org/hipc/about/hipcbr/hipcbr.htm
  19. Hochrainer S (2006) Macroeconomic risk management against natural disasters. German University Press, WiesbadenGoogle Scholar
  20. Hochrainer S (2009) Assessing macroeconomic impacts of natural disasters: are there any? Policy research working paper, 4968. World Bank, Washington, DCGoogle Scholar
  21. Hochrainer S, Mechler R (2009) Assessing financial and economic vulnerability to natural hazards: bridging the gap between scientific assessment and the implementation of disaster risk management with the CatSim model. In: Patt A, Schröter D, Klein R, de la Vega-Leinert A (eds) Assessing vulnerability to global environmental change. Earthscan, LondonGoogle Scholar
  22. Hochrainer S, Pflug G (2009) Natural disaster risk bearing ability of governments: consequences of kinked utility. J Nat Disaster Sci 31:11–21CrossRefGoogle Scholar
  23. Hochrainer S, Mechler R, Pflug G (2004) Financial natural disaster risk management for developing countries. In: Proceedings of XIII, Annual conference of European Association of Environmental and Resource Economics, BudapestGoogle Scholar
  24. IPCC (2007) Working group II contribution to the intergovernmental panel on climate change fourth assessment report climate change 2007: climate change impacts, adaptation and vulnerability summary for policymakers. IPCC, GenevaGoogle Scholar
  25. IPCC (2011) Summary for policymakers. In: Field CB, Barros V, Stocker TF, Qin D, Dokken D, Ebi KL, Mastrandrea MD, Mach KJ, Plattner G-K, Allen S, Tignor M, Midgley PM (eds) Intergovernmental panel on climate change special report on managing the risks of extreme events and disasters to advance climate change adaptation. Cambridge University Press, Cambridge/New YorkGoogle Scholar
  26. Kuzak D, Campbell K, Khater M (2004) The use of probabilistic earthquake risk models for managing earthquake insurance risks: example for Turkey. In: Gurenko E (ed) Catastrophe risk and reinsurance: a country risk management perspective. Risk Books, London, pp 41–64Google Scholar
  27. Linnerooth-Bayer J, Mechler R, Pflug G (2005) Refocusing disaster aid. Science 309:1044–1046CrossRefGoogle Scholar
  28. Linnerooth-Bayer J, Mechler R, Hochrainer-Stigler S (2011) Insurance against losses from natural disasters in developing countries. Evidence, gaps and the way forward. J Integr Disaster Risk Manag 1(1):1–23Google Scholar
  29. Mechler R (2004) Natural disaster risk management and financing disaster losses in developing countries. Verlag fuer Versicherungswissenschaft, KarlsruheGoogle Scholar
  30. Mechler R, Pflug G (2002) The IIASA model for evaluating ex-ante risk management: case study Honduras. Report to IDB. IDB, Washington, DCGoogle Scholar
  31. Mechler R, Linnerooth-Bayer J, Hochrainer S, Pflug G (2006) Assessing financial vulnerability and coping capacity: the IIASA CATSIM model. In: Birkmann J (ed) Measuring vulnerability and coping capacity to hazards of natural origin: concepts and methods. United Nations University Press, Tokyo, pp 380–398Google Scholar
  32. Mechler R, Hochrainer S, Pflug G, Lotsch A, Williges K (2009) Assessing the financial vulnerability to climate-related natural hazards. Background paper for the development and climate change world development report 2010. Policy research working paper 5232. World Bank, Washington, DCGoogle Scholar
  33. Meier GM (1995) Leading issues in economic development. Oxford University Press, New YorkGoogle Scholar
  34. Munich Re (2009) Topics Geo. Natural catastrophes 2008: analyses, assessments, positions. Munich Reinsurance Company, MunichGoogle Scholar
  35. OAS (1991) Primer on natural hazard management in integrated regional development planning. Organization of America, Washington, DCGoogle Scholar
  36. Pate-Cornell E (1996) Uncertainty in risk analysis: six levels of treatment. Reliab Eng Syst Saf 54:95–111CrossRefGoogle Scholar
  37. Priest GL (1996) The government, the market, and the problem of catastrophic loss. J Risk Uncertain 12:219–237CrossRefGoogle Scholar
  38. Schick A, Polackova Brixi H (eds) (2004) Government at risk. World Bank/Oxford University Press, Washington, DCGoogle Scholar
  39. Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignore M, Miller HL (eds) (2007) Climate change 2007: the physical science basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, CambridgeGoogle Scholar
  40. Stern N (2007) The economics of climate change: the stern review. Cambridge University Press, CambridgeGoogle Scholar
  41. Swiss Re (2000) Storm over Europe: an underestimated risk. Swiss Reinsurance Company, ZurichGoogle Scholar
  42. Turner BL et al (2003) A framework for vulnerability analysis in sustainability science. PNAS 100:8074–8079CrossRefGoogle Scholar
  43. World Bank (2003) Financing rapid onset natural disaster losses in India. A risk management approach. World Bank, Washington, DCGoogle Scholar
  44. World Bank (2008) Catastrophe risk financing in developing countries. Lessons learned and principles for public intervention. World Bank, Washington, DCGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Stefan Hochrainer-Stigler
    • 1
  • Reinhard Mechler
    • 2
  • Georg Pflug
    • 1
  1. 1.Risk Policy and Vulnerability DepartmentInternational Institute for Applied Systems Analysis (IIASA)LaxenburgAustria
  2. 2.Risk, Policy and Vulnerability (RPV) ProgramInternational Institute for Applied Systems Analysis (IIASA)LaxenburgAustria

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