Do flood insurance schemes in developing countries provide incentives to reduce physical risks?
Risk transfer, including insurance, is widely recognized as a tool for increasing financial resilience to severe weather events such as floods. The application of this mechanism varies widely across countries, with a range of different types and schemes in operation. While most of the analytical focus has so far been on those markets that have a long tradition of insurance, there is still a clear gap in our understanding of how this mechanism works in a developing country context. This paper assesses 27 insurance schemes that transfer the risk of economic losses arising from floods in low and middle income countries, focusing on the linkages between financial risk transfer and risk reduction. This aspect is important to avoid the effect or moral hazard and has gained particular relevance in the context of the climate change adaptation discourse, where some scholars and practitioners view insurance as a potential tool not just for current risks, but also to address projected future impacts of a changing climate by incentivizing risk reduction. We therefore look beyond the pure financial risk transfer element of those 27 insurance schemes and investigate any prevention and risk reduction initiatives. Our analysis suggests that the potential for utilizing risk transfer for risk reduction is far from exhausted, with only very few schemes showing an operational link between risk transfer and risk reduction, while the effectiveness and implementation on the ground remains unclear. The dearth of linkages between risk reduction and insurance is a missed opportunity in the efforts to address rising risk levels, particularly in the context of climate change. Rising risk levels pose a threat to the insurability of floods, and insurance without risk reduction elements could lead to moral hazard. Therefore a closer linkage between risk transfer and risk reduction could make this a more sustainable and robust tool.
|Date of creation:||Jul 2013|
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- Nicola Ranger & Stéphane Hallegatte & Sumana Bhattacharya & Murthy Bachu & Satya Priya & K. Dhore & Farhat Rafique & P. Mathur & Nicolas Naville & Fanny Henriet & Celine Herweijer & Sanjib Pohit & Jan, 2011. "An assessment of the potential impact of climate change on flood risk in Mumbai," Climatic Change, Springer, vol. 104(1), pages 139-167, January.
- Botzen, W.J.W. & Aerts, J.C.J.H. & van den Bergh, J.C.J.M., 2009. "Willingness of homeowners to mitigate climate risk through insurance," Ecological Economics, Elsevier, vol. 68(8-9), pages 2265-2277, June.
- Christian Biener & Martin Eling, 2011. "The Performance of Microinsurance Programs: A Data Envelopment Analysis," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 78(1), pages 83-115, 03.
- M. Monirul Qader Mirza, 2003. "Climate change and extreme weather events: can developing countries adapt?," Climate Policy, Taylor & Francis Journals, vol. 3(3), pages 233-248, September.
- Pierre Picard, 2008.
"Natural Disaster Insurance and the Equity-Efficiency Trade-Off,"
Journal of Risk & Insurance,
The American Risk and Insurance Association, vol. 75(1), pages 17-38.
- Pierre Picard, 2005. "Natural disaster insurance and the equity-efficiency trade-off," Working Papers hal-00243028, HAL.
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