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A methodological framework to operationalize climate risk management: managing sovereign climate-related extreme event risk in Austria

Author

Listed:
  • Thomas Schinko

    (International Institute for Applied Systems Analysis (IIASA)
    University of Graz)

  • Reinhard Mechler

    (International Institute for Applied Systems Analysis (IIASA)
    Vienna University of Economics and Business)

  • Stefan Hochrainer-Stigler

    (International Institute for Applied Systems Analysis (IIASA))

Abstract

Despite considerable uncertainties regarding the exact contribution of anthropogenic climate change to disaster risk, rising losses from extreme events have highlighted the need to comprehensively address climate-related risk. This requires linking climate adaptation to disaster risk management (DRM), leading to what has been broadly referred to as climate risk management (CRM). While this concept has received attention in debate, important gaps remain in terms of operationalizing it with applicable methods and tools for specific risks and decision-contexts. By developing and applying a methodological approach to CRM in the decision context of sovereign risk (flooding) in Austria we test the usefulness of CRM, and based on these insights, inform applications in other decision contexts. Our methodological approach builds on multiple lines of evidence and methods. These comprise of a broad stakeholder engagement process, empirical analysis of public budgets, and risk-focused economic modelling. We find that a CRM framework is able to inform instrumental as well as reflexive and participatory debate in practice. Due to the complex interaction of social–ecological systems with climate risks, and taking into account the likelihood of future contingent climate-related fiscal liabilities increasing substantially as a result of socioeconomic developments and climate change, we identify the need for advanced learning processes and iterative updates of CRM management plans. We suggest that strategies comprising a portfolio of policy measures to reduce and manage climate-related risks are particularly effective if they tailor individual instruments to the specific requirements of different risk layers.

Suggested Citation

  • Thomas Schinko & Reinhard Mechler & Stefan Hochrainer-Stigler, 2017. "A methodological framework to operationalize climate risk management: managing sovereign climate-related extreme event risk in Austria," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(7), pages 1063-1086, October.
    • Handle: RePEc:spr:masfgc:v:22:y:2017:i:7:d:10.1007_s11027-016-9713-0
    DOI: 10.1007/s11027-016-9713-0
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    Cited by:

    1. Stefan Hochrainer-Stigler & JoAnne Linnerooth-Bayer & Junko Mochizuki, 2019. "Flood Proofing Low-Income Houses in India: an Application of Climate-Sensitive Probabilistic Benefit-Cost Analysis," Economics of Disasters and Climate Change, Springer, vol. 3(1), pages 23-38, April.
    2. Unterberger, Christian & Hudson, Paul & Botzen, W.J. Wouter & Schroeer, Katharina & Steininger, Karl W., 2019. "Future Public Sector Flood Risk and Risk Sharing Arrangements: An Assessment for Austria," Ecological Economics, Elsevier, vol. 156(C), pages 153-163.
    3. Jutta-Lucia Leis & Stefan Kienberger, 2020. "Climate Risk and Vulnerability Assessment of Floods in Austria: Mapping Homogenous Regions, Hotspots and Typologies," Sustainability, MDPI, vol. 12(16), pages 1-21, August.
    4. Stefan Hochrainer-Stigler & Robert Šakić Trogrlić & Karina Reiter, 2024. "Fiscal resilience over time and its management in the context of multi-risks: an application to the Danube Region," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(13), pages 12163-12180, October.

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