Abstract
Each year, 206 million people on average are affected by disasters. Between 2000 and 2018, 84% of those 206 million people lived in Asia, home to 55% of 60,000 disaster fatalities worldwide. Unfortunately, most of the studies on disaster resilience available today are small-scale and ad-hoc, preventing generalization to the national level or broader contexts. Furthermore, the value of these types of analyses is often constrained by various data limitations. Within this paper, we briefly explore four areas of survey methods that offer the potential to improve the utility of microdata on disaster resilience: survey content, level of data collection, longitudinal data, and geospatial data integration. While not an exhaustive list of current data gaps, improving data availability and quality in these respects could have far-reaching impacts on the knowledge base to increase global disaster resilience for the world’s most marginalized and vulnerable populations.
This paper summarizes comments presented on the report “Asian Development Outlook 2019: Strengthening Disaster Resilience” at the XXXI Villa Mondragone International Economic Seminar (June 25–27, 2019).
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Carletto, G., Banerjee, R. (2020). Strengthening Disaster Resilience: A Microdata Perspective. In: Paganetto, L. (eds) Capitalism, Global Change and Sustainable Development. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-46143-0_6
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