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Individual preferences for reducing flood risk to near zero through elevation
Authors:W J W Botzen  J C J H Aerts  J C J M van den Bergh
Institution:1. Institute for Environmental Studies, VU University Amsterdam, De Boelelaan 1085, 1081HV, Amsterdam, The Netherlands
2. ICREA, Barcelona, Spain
3. Institute of Environmental Science and Technology & Department of Economics and Economic History, Universitat Autònoma de Barcelona, Edifici Cn - Campus UAB, 08193, Bellaterra (Cerdanyola), Spain
4. Faculty of Economics and Business Administration & Institute for Environmental Studies, VU University Amsterdam, Amsterdam, The Netherlands
Abstract:Climate change is expected to increase the frequency and intensity of natural disasters. Adaptation investments are required in order to limit the projected increase in natural disaster risks. Adaptation measures can reduce risk partially or completely eliminate risk. The literature on behavioural economics suggests that individuals rarely undertake measures that limit risk partially, while they may place a considerable value on measures that reduce risk to zero. This is studied for a case of adaptation to climate change and its effects on flood risk in the Netherlands. In particular, we examine whether households are willing to invest in elevating newly built structures when this is framed as eliminating flood risk. The results indicate that a majority of homeowners (52%) is willing to make a substantial investment of €10,000 to elevate a new house to a level that is safe to flooding. Differences between willingness to pay (WTP) for flood insurance and WTP for risk elimination through elevation indicate that individuals place a considerable value on the latter adaptation option. This study estimates that the “safety premium” which individuals place on risk elimination is approximately between €35 and €45 per month. The existence of a safety premium has important implications for the design of climate change adaptation policies. The decision to invest in elevating homes is significantly correlated with the expected negative effects of climate change, perceptions of flood risks, individual risk attitudes, and living close to a main river.
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