EGU2020-19990
https://doi.org/10.5194/egusphere-egu2020-19990
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Generating multiple resilience dividends from managing unnatural disasters. Opportunities for measurement and policy.

Reinhard Mechler and Stefan Hochrainer-Stigler
Reinhard Mechler and Stefan Hochrainer-Stigler
  • IIASA, RISK, Laxenburg, Austria (mechler@iiasa.ac.at)

Despite solid evidence regarding the large benefits of reducing disaster risk, it has remained difficult to motivate sustained investment into disaster risk reduction and resilience. Recently, international policy debate has started to emphasize the need for focusing DRR investment toward actions that generate multiple dividends, including reducing loss of lives and livelihoods, unlocking development, and creating development co-benefits. We examine whether available and innovative decision support tools are fit-for-purpose. Focusing on the Asia region, we identify evidence of multiple dividends crafted using expert-based methods, such as cost–benefit analysis for selecting and evaluating “hard resilience-type” interventions. Given a rising demand for “softer” and systemic DRR investments in projects and programs, participatory decision support tools have become increasingly relevant. As one set of tools, resilience capacity (capital) measurement approaches may be used to support actions and decisions throughout all stages of the project cycle. Measuring capacity for resilience dividends, not outcome, such tools can serve as participatory decision support for organizations working at community and other levels for scoping out how development and disaster risk interact, as well as for supporting the co-generation of multiple resilience dividend-type solutions with those at risk.

How to cite: Mechler, R. and Hochrainer-Stigler, S.: Generating multiple resilience dividends from managing unnatural disasters. Opportunities for measurement and policy., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19990, https://doi.org/10.5194/egusphere-egu2020-19990, 2020

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