Climate and disaster risk analytics tool for adaptive social protection

Sett, Dominic, Waldschmidt, Florian, Rojas-Ferreira, Alvaro, Sagala, Saut, Arce Mojica, Teresa d.J., Koirala, Preeti, Sanady, Patrick, Widjaja, Christina N., Kreft, Soenke, Souvignet, Maxime and Sandholz, Simone (2022). Climate and disaster risk analytics tool for adaptive social protection. United Nations University – Institute for Environment and Human Security (UNU-EHS), Munich Climate Insurance Initiative (MCII) and Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH.

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    Sett_etal._CADRAT_META.pdf Sett_etal._CADRAT_META.pdf application/pdf 3.26MB
    Sett_etal._CADRAT_META_2022.pdf Sett_etal._CADRAT_META_2022.pdf application/pdf 10.54MB
  • Sub-type Research brief
    Author Sett, Dominic
    Waldschmidt, Florian
    Rojas-Ferreira, Alvaro
    Sagala, Saut
    Arce Mojica, Teresa d.J.
    Koirala, Preeti
    Sanady, Patrick
    Widjaja, Christina N.
    Kreft, Soenke
    Souvignet, Maxime
    Sandholz, Simone
    Title Climate and disaster risk analytics tool for adaptive social protection
    Publication Date 2022-03-23
    Place of Publication Bonn
    Publisher United Nations University – Institute for Environment and Human Security (UNU-EHS), Munich Climate Insurance Initiative (MCII) and Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH
    Pages 94
    Language eng
    Abstract Adaptive Social Protection (ASP) as discussed in this report is an approach to enhance the well-being of communities at risk. As an integrated approach, ASP builds on the interface of Disaster Risk Management (DRM), Climate Change Adaptation (CCA) and Social Protection (SP) to address interconnected risks by building resilience, thereby overcoming the shortcomings of traditionally sectoral approaches. The design of meaningful ASP measures needs to be informed by specific information on risk, risk drivers and impacts on communities at risk. In contrast, a limited understanding of risk and its drivers can potentially lead to maladaptation practices. Therefore, multidimensional risk assessments are vital for the successful implementation of ASP. Although many sectoral tools to assess risks exist, available integrated risk assessment methods across sectors are still inadequate in the context of ASP, presenting an important research and implementation gap. ASP is now gaining international momentum, making the timely development of a comprehensive risk analytics tool even more important, including in Indonesia, where nationwide implementation of ASP is currently under way. OBJECTIVE: To address this gap, this study explores the feasibility of a climate and disaster risk analytics tool for ASP (CADRAT-ASP), combining sectoral risk assessment in the context of ASP with a more comprehensive risk analytics approach. Risk analytics improve the understanding of risks by locating and quantifying the potential impacts of disasters. For example, the Economics of Climate Adaptation (ECA) framework quantifies probable current and expected future impacts of extreme events and determines the monetary cost and benefits of specific risk management and adaptation measures. Using the ECA framework, this report examines the viability and practicality of applying a quantitative risk analytics approach for non-financial and non-tangible assets that were identified as central to ASP. This quantitative approach helps to identify cost-effective interventions to support risk-informed decision making for ASP. Therefore, we used Nusa Tenggara, Indonesia, as a case study, to identify potential entry points and examples for the further development and application of such an approach. METHODS & RESULTS: The report presents an analysis of central risks and related impacts on communities in the context of ASP. In addition, central social protection dimensions (SPD) necessary for the successful implementation of ASP and respective data needs from a theoretical perspective are identified. The application of the quantitative ECA framework is tested for tropical storms in the context of ASP, providing an operational perspective on technical feasibility. Finally, recommendations on further research for the potential application of a suitable ASP risk analytics tool in Indonesia are proposed. Results show that the ECA framework and its quantitative modelling platform CLIMADA successfully quantified the impact of tropical storms on four SPDs. These SPDs (income, access to health, access to education and mobility) were selected based on the results from the Hazard, Exposure and Vulnerability Assessment (HEVA) conducted to support the development of an ASP roadmap for the Republic of Indonesia (UNU-EHS 2022, forthcoming). The SPDs were modelled using remote sensing, gridded data and available global indices. The results illustrate the value of the outcome to inform decision making and a better allocation of resources to deliver ASP to the case study area. RECOMMENDATIONS: This report highlights strong potential for the application of the ECA framework in the ASP context. The impact of extreme weather events on four social protection dimensions, ranging from access to health care and income to education and mobility, were successfully quantified. In addition, further developments of CADRAT-ASP can be envisaged to improve modelling results and uptake of this tool in ASP implementation. Recommendations are provided for four central themes: mainstreaming the CADRAT approach into ASP, data and information needs for the application of CADRAT-ASP, methodological advancements of the ECA framework to support ASP and use of CADRAT-ASP for improved resilience-building. Specific recommendations are given, including the integration of additional hazards, such as flood, drought or heatwaves, for a more comprehensive outlook on potential risks. This would provide a broader overview and allow for multi-hazard risk planning. In addition, high-resolution local data and stakeholder involvement can increase both ownership and the relevance of SPDs. Further recommendations include the development of a database and the inclusion of climate and socioeconomic scenarios in analyses.
    UNBIS Thesaurus RISK ASSESSMENT
    INDONESIA
    CLIMATE CHANGE
    Keyword Risk analytics
    Risk modelling
    Adaptive social protection
    Economics of Climate Adaptation
    Climate risk
    Copyright Holder United Nations University - Institute for Environment and Human Security (UNU-EHS)
    Copyright Year 2022
    Copyright type Creative commons
    DOI 10.53324/WNSG2302
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    Created: Tue, 22 Mar 2022, 22:16:59 JST by Aarti Basnyat on behalf of UNU EHS