Downloads: 69
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2022ef003031.pdf | 4.08 MB | Adobe PDF | View/Open |
Title: | Estimating Household Preferences for Coastal Flood Risk Mitigation Policies under Ambiguity |
Authors: | Ha, Si Fujimi, Toshio https://orcid.org/0000-0001-7197-0336 (unconfirmed) Jiang, Xinyu Mori, Nobuhito https://orcid.org/0000-0001-9082-3235 (unconfirmed) Begum, Rawshan A. Watanabe, Masahide Tatano, Hirokazu https://orcid.org/0000-0001-7209-4358 (unconfirmed) Nakakita, Eiichi |
Author's alias: | 藤見, 俊夫 森, 信人 多々納, 裕一 中北, 英一 |
Issue Date: | Dec-2022 |
Publisher: | American Geophysical Union (AGU) |
Journal title: | Earth's Future |
Volume: | 10 |
Issue: | 12 |
Thesis number: | e2022EF003031 |
Abstract: | Risk mitigation policies (like dike rising) are essential to address increasing coastal flood risks due to global warming. Furthermore, the optimal level of risk mitigation policy should be determined by public preferences for risk reduction. However, it is difficult to reveal public preferences for coastal flood risk reduction because projections of coastal flood risks inevitably involve uncertainty. This study aims to estimate household preference for coastal flood reduction under ambiguity and multiple projections of coastal flood risks. By coupling storm surge inundation simulations and stated preference experiments with decision models, we estimate the expected loss reduction, risk premium, and ambiguity premium for coastal flood risk mitigation policies. The study shows that ignoring the ambiguity premium causes significant undervaluation of coastal flood risk mitigation. |
Rights: | © 2022 The Authors. Earth's Future published by Wiley Periodicals LLC on behalf of American Geophysical Union. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
URI: | http://hdl.handle.net/2433/282853 |
DOI(Published Version): | 10.1029/2022ef003031 |
Appears in Collections: | Journal Articles |
This item is licensed under a Creative Commons License