Global patterns of disaster and climate risk—an analysis of the consistency of leading index-based assessments and their results
Garschagen, Matthias, Doshi, Deepal, Reith, Jonathan and Hagenlocher, Michael, (2021). Global patterns of disaster and climate risk—an analysis of the consistency of leading index-based assessments and their results. Climatic Change, 169 1-19
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Article
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Sub-type Journal article Author Garschagen, Matthias
Doshi, Deepal
Reith, Jonathan
Hagenlocher, MichaelTitle Global patterns of disaster and climate risk—an analysis of the consistency of leading index-based assessments and their results Appearing in Climatic Change Volume 169 Publication Date 2021-11-12 Place of Publication Cham Publisher Springer Nature Switzerland AG Start page 1 End page 19 Language eng Abstract Indices assessing country-level climate and disaster risk at the global scale have experienced a steep rise in popularity both in science and international climate policy. A number of widely cited products have been developed and published over the recent years, argued to contribute critical knowledge for prioritizing action and funding. However, it remains unclear how their results compare, and how consistent their findings are on country-level risk, exposure, vulnerability and lack of coping, as well as adaptive capacity. This paper analyses and compares the design, data, and results of four of the leading global climate and disaster risk indices: The World Risk Index, the INFORM Risk Index, ND-GAIN Index, and the Climate Risk Index. Our analysis clearly shows that there is considerable degree of cross-index variation regarding countries’ risk levels and comparative ranks. At the same time, there is above-average agreement for high-risk countries. In terms of risk sub-components, there is surprisingly little agreement in the results on hazard exposure, while strong inter-index correlations can be observed when ranking countries according to their socio-economic vulnerability and lack of coping as well as adaptive capacity. Vulnerability and capacity hotspots can hence be identified more robustly than risk and exposure hotspots. Our findings speak both to the potential as well as limitations of index-based approaches. They show that a solid understanding of index-based assessment tools, and their conceptual and methodological underpinnings, is necessary to navigate them properly and interpret as well as use their results in triangulation. UNBIS Thesaurus RISK ASSESSMENT Keyword Vulnerability assessment
Indicators
Climate change adaptation
Disasters
Climate policyCopyright Holder The Authors Copyright Year 2021 Copyright type Creative commons DOI 10.1007/s10584-021-03209-7 -
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