IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i8p4753-d794834.html
   My bibliography  Save this article

Using a Choice Experiment to Understand Preferences for Disaster Risk Reduction with Uncertainty: A Case Study in Japan

Author

Listed:
  • Takahiro Tsuge

    (Graduate School of Global Environmental Studies, Sophia University, Tokyo 102-8554, Japan)

  • Yasushi Shoji

    (Research Faculty of Agriculture, Hokkaido University, Sapporo 060-8589, Japan)

  • Koichi Kuriyama

    (Division of Natural Resource Economics, Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan)

  • Ayumi Onuma

    (Faculty of Economics, Keio University, Tokyo 108-8345, Japan)

Abstract

With the increase in disasters due to climate change, there has been a growing interest in green infrastructures that utilize nature for disaster risk reduction (DRR). However, green infrastructures cannot completely protect against hazards. Therefore, this study investigates the public preference in Japan for DRR and its uncertainty using a survey-based choice experiment. The results showed that benefits were obtained from the increase in “success probability”, “reduction in human damage”, “reduction in property damage”, and “reduction in indirect damage”; however, the benefits obtained from additional improvements diminished. Moreover, the results of our analyses revealed that preferences for DRR and its uncertainty were heterogeneous among respondents, and the population segment that includes more women, older people, and more people who live in areas that may be directly affected by floods had higher ratings for “success probability” and relatively slightly lower ratings for “reduction in indirect damage”.

Suggested Citation

  • Takahiro Tsuge & Yasushi Shoji & Koichi Kuriyama & Ayumi Onuma, 2022. "Using a Choice Experiment to Understand Preferences for Disaster Risk Reduction with Uncertainty: A Case Study in Japan," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4753-:d:794834
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/8/4753/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/8/4753/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ando, Amy W. & Cadavid, Catalina Londoño & Netusil, Noelwah R. & Parthum, Bryan, 2020. "Willingness-to-volunteer and stability of preferences between cities: Estimating the benefits of stormwater management," Journal of Environmental Economics and Management, Elsevier, vol. 99(C).
    2. Stephen Hynes & Nick Hanley & Riccardo Scarpa, 2008. "Effects on Welfare Measures of Alternative Means of Accounting for Preference Heterogeneity in Recreational Demand Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 1011-1027.
    3. Shr, Yau-Huo (Jimmy) & Ready, Richard & Orland, Brian & Echols, Stuart, 2019. "How Do Visual Representations Influence Survey Responses? Evidence from a Choice Experiment on Landscape Attributes of Green Infrastructure," Ecological Economics, Elsevier, vol. 156(C), pages 375-386.
    4. Stijn Temmerman & Patrick Meire & Tjeerd J. Bouma & Peter M. J. Herman & Tom Ysebaert & Huib J. De Vriend, 2013. "Ecosystem-based coastal defence in the face of global change," Nature, Nature, vol. 504(7478), pages 79-83, December.
    5. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    6. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    7. Jessica Mercer, 2010. "Disaster risk reduction or climate change adaptation: Are we reinventing the wheel?," Journal of International Development, John Wiley & Sons, Ltd., vol. 22(2), pages 247-264.
    8. R. Mechler, 2016. "Reviewing estimates of the economic efficiency of disaster risk management: opportunities and limitations of using risk-based cost–benefit analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 2121-2147, April.
    9. Veronesi, Marcella & Chawla, Fabienne & Maurer, Max & Lienert, Judit, 2014. "Climate change and the willingness to pay to reduce ecological and health risks from wastewater flooding in urban centers and the environment," Ecological Economics, Elsevier, vol. 98(C), pages 1-10.
    10. Borja G Reguero & Michael W Beck & David N Bresch & Juliano Calil & Imen Meliane, 2018. "Comparing the cost effectiveness of nature-based and coastal adaptation: A case study from the Gulf Coast of the United States," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-24, April.
    11. Hong Il Yoo, 2020. "lclogit2: An enhanced command to fit latent class conditional logit models," Stata Journal, StataCorp LP, vol. 20(2), pages 405-425, June.
    12. Barbier, Edward B., 2015. "Valuing the storm protection service of estuarine and coastal ecosystems," Ecosystem Services, Elsevier, vol. 11(C), pages 32-38.
    13. Riccardo Scarpa & Mara Thiene, 2005. "Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences," Land Economics, University of Wisconsin Press, vol. 81(3).
    14. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    15. Pienaar, Elizabeth F. & Soto, José R. & Lai, John H. & Adams, Damian C., 2019. "Would County Residents Vote for an Increase in Their Taxes to Conserve Native Habitat and Ecosystem Services? Funding Conservation in Palm Beach County, Florida," Ecological Economics, Elsevier, vol. 159(C), pages 24-34.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Franceschinis, Cristiano & Thiene, Mara & Scarpa, Riccardo & Rose, John & Moretto, Michele & Cavalli, Raffaele, 2017. "Adoption of renewable heating systems: An empirical test of the diffusion of innovation theory," Energy, Elsevier, vol. 125(C), pages 313-326.
    2. Angel Bujosa & Antoni Riera & Robert Hicks, 2010. "Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(4), pages 477-493, December.
    3. Beharry-Borg, Nesha & Scarpa, Riccardo, 2010. "Valuing quality changes in Caribbean coastal waters for heterogeneous beach visitors," Ecological Economics, Elsevier, vol. 69(5), pages 1124-1139, March.
    4. Domanski, Adam, 2009. "Estimating Mixed Logit Recreation Demand Models With Large Choice Sets," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49413, Agricultural and Applied Economics Association.
    5. Teferi, Ermias Tesfaye & Kassie, Girma T. & Pe, Mario Enrico & Fadda, Carlo, 2020. "Are farmers willing to pay for climate related traits of wheat? Evidence from rural parts of Ethiopia," Agricultural Systems, Elsevier, vol. 185(C).
    6. Sergio Colombo & Nick Hanley & Jordan Louviere, 2009. "Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 307-322, May.
    7. Varela, Elsa & Kallas, Zein, 2022. "Extensive Mediterranean agroecosystems and their linked traditional breeds: Societal demand for the conservation of the Majorcan black pig," Land Use Policy, Elsevier, vol. 112(C).
    8. Beville, Stephen T. & Kerr, Geoffrey N. & Hughey, Kenneth F.D., 2012. "Valuing impacts of the invasive alga Didymosphenia geminata on recreational angling," Ecological Economics, Elsevier, vol. 82(C), pages 1-10.
    9. Deely, John & Hynes, Stephen, 2020. "Preferences for Blue-Green or Grey Infrastructure to Reduce Flood Risk: A Choice Experiment," Working Papers 309506, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    10. Novikova, Anastasija & Rocchi, Lucia & Vitunskienė, Vlada, 2017. "Assessing the benefit of the agroecosystem services: Lithuanian preferences using a latent class approach," Land Use Policy, Elsevier, vol. 68(C), pages 277-286.
    11. von Haefen, Roger H. & Domanski, Adam, 2018. "Estimation and welfare analysis from mixed logit models with large choice sets," Journal of Environmental Economics and Management, Elsevier, vol. 90(C), pages 101-118.
    12. Catalina M. Torres & Sergio Colombo & Nick Hanley, 2014. "Incorrectly accounting for preference heterogeneity in choice experiments: what are the implications for welfare measurement?," DEA Working Papers 65, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    13. Hynes, Stephen & Chen, Wenting & Vondolia, Kofi & Armstrong, Claire & O'Connor, Eamonn, 2021. "Valuing the ecosystem service benefits from kelp forest restoration: A choice experiment from Norway," Ecological Economics, Elsevier, vol. 179(C).
    14. Kuriyama, Koichi & Michael Hanemann, W. & Hilger, James R., 2010. "A latent segmentation approach to a Kuhn-Tucker model: An application to recreation demand," Journal of Environmental Economics and Management, Elsevier, vol. 60(3), pages 209-220, November.
    15. Rossella Berni & Nedka Dechkova Nikiforova & Patrizia Pinelli, 2024. "An Optimal Design through a Compound Criterion for Integrating Extra Preference Information in a Choice Experiment: A Case Study on Moka Ground Coffee," Stats, MDPI, vol. 7(2), pages 1-16, June.
    16. Eric Ruto & Riccardo Scarpa, 2010. "Using Choice Experiments to Investigate Preferences for Cattle Traits in Kenya," Chapters, in: Jeff Bennett & Ekin Birol (ed.), Choice Experiments in Developing Countries, chapter 14, Edward Elgar Publishing.
    17. Murray Rudd, 2011. "An Exploratory Analysis of Societal Preferences for Research-Driven Quality of Life Improvements in Canada," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 101(1), pages 127-153, March.
    18. Hynes, Stephen & Chen, Wenting & Vondolia, Kofi & Armstrong, Claire & O’Connor, Eamonn, 2020. "Valuing the Ecosystem Service Benefits from Kelp Forest Restoration: A Choice Experiment," Working Papers 309505, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    19. Dhakal, Bhubaneswor & Yao, Richard T. & Turner, James A. & Barnard, Tim, 2012. "Recreational users' willingness to pay and preferences for changes in planted forest features," Forest Policy and Economics, Elsevier, vol. 17(C), pages 34-44.
    20. Kanchanaroek, Yingluck & Aslam, Uzma, 2017. "Assessing Farmers’ Preferences To Participate In Agri-environment Policies In Thailand," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260888, European Association of Agricultural Economists.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4753-:d:794834. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.