Abstract
This paper explores methods and the key factors influencing socio-economic analysis of the role of climate services in disaster risk reduction, with a regional emphasis on Small Island Developing States in the western tropical Pacific. We analyse the role of traditional benefit-cost analysis especially in the context of evaluating the importance of science-based climate change services (i.e., relevant to current and future climate change over multi-decadal timescales) in disaster risk reduction at a national economy level. Our analysis is premised on a range of relevant social and economic metrics at a national economy scale, including surrogate indicators for specific disaster risk reduction sensitive sectors in context of both mitigation (transitional risk) and adaptation (physical risk) to climate change. Relative importance of different methodologies of socio-economic analysis (i.e., partial/sectoral vs economy-wide modelling), gaps in relevant data and information, and the role of the public and private sectors in mobilising resources and capability for facilitating such analysis are explored. Our paper also discusses the issues relating to investing in, producing and undertaking on-ground applications associated with disaster risk reduction using climate change services for both public good and private (-for-profit) benefit outcomes, and provides suggestions for further research to improve socio-economic analysis of Climate Information Services impacts.
Highlights
Numerous studies have provided strong evidence of the social, economic and environmental benefits of weather and climate services (Zillman, 1999; Freebairn and Zillman, 2002; Gunasekera, 2004; World Meteorological Organisation, 2015), hereafter referred to collectively as Climate Information Services (CIS)
It is important to recognize that the sea level rise mitigation impacts will vary across the individual Pacific SIDS depending on their level of vulnerability with some countries receiving disproportionately higher impacts than others
From an empirical point of view, it will be an important step in future Global Trade and Analysis Project (GTAP) data base development to disaggregate the region into individual countries of the Pacific SIDS
Summary
Numerous studies have provided strong evidence of the social, economic and environmental benefits of weather and climate services (Zillman, 1999; Freebairn and Zillman, 2002; Gunasekera, 2004; World Meteorological Organisation, 2015), hereafter referred to collectively as Climate Information Services (CIS). In this context, reference to CIS in this paper broadly aligns with the definition of CIS described by the EU Roadmap for Climate Services (European Commission 2015). CIS transform climate and weather data into tailored information and knowledge that help users They enable users to make informed decisions across different sectors and activities.
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