TY - JOUR
T1 - How do floods affect insurance demand? Evidence from flood insurance take-up in Japan
AU - Shao, Jie
AU - Hoshino, Akio
AU - Nakaide, Satoshi
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/12
Y1 - 2022/12
N2 - This study examines the hypothetical impact of floods on people's flood insurance purchase decisions, and how this impact may differ among people with different socioeconomic, geographic, and financial literacy characteristics. We find a significant yet short-lived (1-year) impact of floods on people's demand for flood insurance at an ecological level (prefectures). Different aspects of flood damage have different impacts on flood insurance take-up, with human casualties having the greatest impact on people's perception of flood risk. We also find that groups with different socioeconomic characteristics, such as age, education, and insurance agent density, react differently to floods concerning insurance purchases. We confirm a positive relationship between objective risk exposure and people's perception of the flood experience. Finally, an analysis of the Financial Literacy Survey demonstrates the impact of three cognitive biases (loss aversion, myopic, herding) on flood insurance take-up. These findings provide empirical evidence for various psychological and behavioral theories, and important policy references for countries aiming to develop flood insurance in the future.
AB - This study examines the hypothetical impact of floods on people's flood insurance purchase decisions, and how this impact may differ among people with different socioeconomic, geographic, and financial literacy characteristics. We find a significant yet short-lived (1-year) impact of floods on people's demand for flood insurance at an ecological level (prefectures). Different aspects of flood damage have different impacts on flood insurance take-up, with human casualties having the greatest impact on people's perception of flood risk. We also find that groups with different socioeconomic characteristics, such as age, education, and insurance agent density, react differently to floods concerning insurance purchases. We confirm a positive relationship between objective risk exposure and people's perception of the flood experience. Finally, an analysis of the Financial Literacy Survey demonstrates the impact of three cognitive biases (loss aversion, myopic, herding) on flood insurance take-up. These findings provide empirical evidence for various psychological and behavioral theories, and important policy references for countries aiming to develop flood insurance in the future.
KW - Flood
KW - Grouped regression
KW - Heterogeneous effect
KW - Insurance
KW - Japan
KW - Take-up
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U2 - 10.1016/j.ijdrr.2022.103424
DO - 10.1016/j.ijdrr.2022.103424
M3 - Article
AN - SCOPUS:85142155705
VL - 83
JO - International Journal of Disaster Risk Reduction
JF - International Journal of Disaster Risk Reduction
SN - 2212-4209
M1 - 103424
ER -