Willingness of homeowners to mitigate climate risk through insurance

By W. Botzen, Jeroen C. J. H. Aerts, J. van den Bergh. 2009

415 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/827c6cdded7d5adeda387435a56b7b5bec167543

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In Global and Planetary Change

In Ocean Engineering

Citations in the corpus

Individual preferences for reducing flood risk to near zero through elevation (2013, background): “Individual perceptions of natural hazard risks may deviate considerably from expert judgment of risk (Slovic 1987; Botzen et al. 2009b).”
Economic motivation of households to undertake private precautionary measures against floods (2011, background): “Such incentives can be provided either through appropriately worded insurance contracts (Kleindorfer and Kunreuther, 1999; Botzen et al., 2009; Holub and Fuchs, 2009) or else through government finance schemes or aid geared towards enhancing self-reliance.”
Beyond long-term averages: making biological sense of a rapidly changing world (2014, background): “While such uncertainties can be misconstrued as an excuse not to act, the success of entities such as the insurance industry suggests that action can be prompted when stakeholders have a realistic estimate not only of the likelihood of extreme events but also the costs of inaction [104,105].”
What drives households to buy flood insurance? New evidence from Georgia (2015, background): “Botzen et al. (2009) find that homeowners arewilling tomake investments inmitigation in exchange for premium discounts. In the U.S., community participation in the NFIP is required in order to purchase flood insurance. Therefore it is important to control for the proportion of population in a county”
The safe development paradox: An agent-based model for flood risk under climate change in the European Union (2020, methodology): “Therefore, it is important to institutionalize flood awareness and flood adaptation strategies within local government planning, by forcing local governments to include adaptation planning in comprehensive development plans, for example (Burby, 2006).”
The Determinants of Private Flood Mitigation Measures in Germany – Evidence from a Nationwide Survey (2015, background): “Turning to the effect of expected government relief, some authors indeed report negative correlations with private mitigation (Botzen et al. 2009; Grothmann and Reusswig 2006; Kreibich et al. 2009).”
Review article: assessing the costs of natural hazards - state of the art and knowledge gaps (2013, background): “Some evidence has also been provided to show that insurance systems additionally provide an opportunity to include incentives to reduce risks (see e.g. Thieken et al., 2006; Bouwer et al., 2007; Pompe and Rinehart, 2008; Warner et al., 2009; Botzen et al., 2009; Aerts and Botzen, 2011).”
Risk Preferences, Risk Perceptions, and Flood Insurance (2013, neutral): “…several papers make the case for both risk perceptions and preferences affecting flood insurance decisions (Kunreuther 1984, 1996, 2006; Braun and Muermann 2004; Kunreuther and Pauly 2004, 2006; Kousky, Luttmer, and Zeckhauser 2006; Smith et al. 2006; Kousky 2010a; Michel-Kerjan and Kousky…”
Climate change and the willingness to pay to reduce ecological and health risks from wastewater flooding in urban centers and the environment (2014, background): “Flood risks have been the main focus of studies addressing climate change, namely i the Netherlands, where severe effects are to be expected (e.g., Botzen et al., 2009), (Botzen and van den Bergh, 2012), but also in Scotland, the U.K. (Glenk and Fischer, 2010), or the U.S.A. (see the meta- nalysis…”
Living with Floods: Protective Behaviours and Risk Perception of Vietnamese Households (2013, background): “37 Botzen et al. (2009a).”
Dependence of flood risk perceptions on socioeconomic and objective risk factors (2009, methodology): “It is surprising that the expected mean flood damage is equal to the expected mean damage, as has been estimated by flood models for the sample area of this survey [see Botzen et al., 2008].”