IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i11p6635-d826782.html
   My bibliography  Save this article

Narrative-Based Disaster Learning Programmes Simultaneously Improve People’s Disaster Awareness Scores, Willingness to Pay and Settlement Preferences

Author

Listed:
  • Misato Uehara

    (Research Center for Social Systems, Ina Campus, Shinshu University, 8304, Minamiminowa-Village, Kamiina-County, Nagano 399-4598, Japan
    Research Institute for Humanity and Nature, 57-4 Motoyama, Kamigamo, Kita-ku, Kyoto 603-8047, Japan)

  • Makoto Fujii

    (Osaka Office, Tonich Engineering Consultant, 3-20 Banzaicho Kita-ku, Osaka 530-0028, Japan)

  • Kazuki Kobayashi

    (Research Center for Social Systems, Nagano Campus, Shinshu University, 4-17-1, Wakasato, Nagano 380-8553, Japan)

  • Keita Shiba

    (Faculty of Economics, Kyushu Sangyo University, 2-3-1, Matsukadai, Higashiku, Fukuoka 813-0004, Japan)

Abstract

Few studies currently examine the effect of different disaster informational programmes because conducting such intervention studies is challenging. By providing two types of online disaster learning programmes, this intervention study measured changes made to three different perspectives: (1) disaster preventive awareness scores, (2) willingness to pay for disaster information (WTP), and (3) settlement preferences (preferences for post-disaster recovery goals). The participants engaged with one of two different types of 45-min learning programmes—one created as a narrative-based disaster learning programme (N = 218) and the other presented as a collective information disaster learning programme (N = 201). Consequently, both disaster preparedness scores and WTP increased statistically after both styles of disaster preparedness programmes. Furthermore, the increase generated by the narrative programme was greater (2.2 times higher for WTP value and 1.72 times higher in WTP value-increased probability). In their preprogramme answer, people who selected safety and nature conservation for post-disaster recovery goals improved their awareness scores. Despite both programmes having the same theme and length, only the narrative learning programme had a beneficial—improvement odds ratio for all three perspectives. Thus, the narrative-based disaster learning (vicarious) experience simultaneously improved people’s disaster awareness scores, willingness to pay for disaster information, and settlement preferences for disaster prevention.

Suggested Citation

  • Misato Uehara & Makoto Fujii & Kazuki Kobayashi & Keita Shiba, 2022. "Narrative-Based Disaster Learning Programmes Simultaneously Improve People’s Disaster Awareness Scores, Willingness to Pay and Settlement Preferences," Sustainability, MDPI, vol. 14(11), pages 1-17, May.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6635-:d:826782
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/11/6635/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/11/6635/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qin Fan & Meri Davlasheridze, 2016. "Flood Risk, Flood Mitigation, and Location Choice: Evaluating the National Flood Insurance Program's Community Rating System," Risk Analysis, John Wiley & Sons, vol. 36(6), pages 1125-1147, June.
    2. Asharose & Izuru Saizen & Praveen Kumar Chakkalathundiyil Sasi, 2015. "Awareness Workshop as an Effective Tool and Approach for Education in Disaster Risk Reduction: A Case Study from Tamil Nadu, India," Sustainability, MDPI, vol. 7(7), pages 1-20, July.
    3. Min Zhang & Juanle Wang, 2022. "Trend Analysis of Global Disaster Education Research Based on Scientific Knowledge Graphs," Sustainability, MDPI, vol. 14(3), pages 1-13, January.
    4. Hoffmann, Roman & Muttarak, Raya, 2017. "Learn from the Past, Prepare for the Future: Impacts of Education and Experience on Disaster Preparedness in the Philippines and Thailand," World Development, Elsevier, vol. 96(C), pages 32-51.
    5. Botzen, W.J.W. & van den Bergh, J.C.J.M., 2012. "Risk attitudes to low-probability climate change risks: WTP for flood insurance," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 151-166.
    6. Bismark Adu-Gyamfi & Rajib Shaw, 2021. "Characterizing Risk Communication and Awareness for Sustainable Society: The Case of Foreign Residents in the Tokyo Metropolitan Area of Japan," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    7. Sophie Blackburn, 2018. "What Does Transformation Look Like? Post-Disaster Politics and the Case for Progressive Rehabilitation," Sustainability, MDPI, vol. 10(7), pages 1-18, July.
    8. Fabrizio Terenzio Gizzi & Jonghun Kam & Donatella Porrini, 2020. "Time windows of opportunities to fight earthquake under-insurance: evidence from Google Trends," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-11, December.
    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. Brown, Philip & Daigneault, Adam J. & Tjernström, Emilia & Zou, Wenbo, 2018. "Natural disasters, social protection, and risk perceptions," World Development, Elsevier, vol. 104(C), pages 310-325.
    2. Shasha Li & Xinyu Peng & Ruiqiu Pang & Li Li & Zixuan Song & Hongying Ye, 2021. "Information Preference and Information Supply Efficiency Evaluation before, during, and after an Earthquake: Evidence from Songyuan, China," IJERPH, MDPI, vol. 18(24), pages 1-28, December.
    3. Peter John Robinson & W.J.W. Botzen & F. Zhou, 2019. "An experimental study of charity hazard: The effect of risky and ambiguous government compensation on flood insurance demand," Working Papers 19-19, Utrecht School of Economics.
    4. Floris C. Boogaard & Guri Venvik & Rui L. Pedroso de Lima & Ana C. Cassanti & Allard H. Roest & Antal Zuurman, 2020. "ClimateCafé: An Interdisciplinary Educational Tool for Sustainable Climate Adaptation and Lessons Learned," Sustainability, MDPI, vol. 12(9), pages 1-19, May.
    5. Shi-jie Jiang & Feiyun Xiang & Iris Yang, 2023. "Effect of Prevention Focus on the Relationships Among Driving Accident History, Risk Perception, and Consumers’ Automobile Insurance Coverage Decisions," SAGE Open, , vol. 13(3), pages 21582440231, July.
    6. Tianzhuo Liu & Huifang Jiao, 2018. "Insights into the Effects of Cognitive Factors and Risk Attitudes on Fire Risk Mitigation Behavior," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1213-1232, December.
    7. Bismark Adu-Gyamfi & Rajib Shaw, 2022. "Risk Awareness and Impediments to Disaster Preparedness of Foreign Residents in the Tokyo Metropolitan Area, Japan," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
    8. Zhixing Ma & Shili Guo & Xin Deng & Dingde Xu, 2021. "Community resilience and resident's disaster preparedness: evidence from China's earthquake-stricken areas," 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. 108(1), pages 567-591, August.
    9. Zhenlong Jiang & Yudi Chen & Ting-Yeh Yang & Wenying Ji & Zhijie (Sasha) Dong & Ran Ji, 2023. "Leveraging Machine Learning and Simulation to Advance Disaster Preparedness Assessments through FEMA National Household Survey Data," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    10. Onur Sapci & Aaron Wood & Jason Shogren & Jolene Green, 2016. "Can verifiable information cut through the noise about climate protection? An experimental auction test," Climatic Change, Springer, vol. 134(1), pages 87-99, January.
    11. repec:cup:judgdm:v:13:y:2018:i:3:p:237-245 is not listed on IDEAS
    12. Mark Browne & Christian Knoller & Andreas Richter, 2015. "Behavioral bias and the demand for bicycle and flood insurance," Journal of Risk and Uncertainty, Springer, vol. 50(2), pages 141-160, April.
    13. Kakuho Furukawa & Hibiki Ichiue & Noriyuki Shiraki, 2020. "How Does Climate Change Interact with the Financial System? A Survey," Bank of Japan Working Paper Series 20-E-8, Bank of Japan.
    14. Masahiro Shoji & Yoko Takafuji & Tetsuya Harada, 2020. "Formal education and disaster response of children: evidence from coastal villages in Indonesia," 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. 103(2), pages 2183-2205, September.
    15. Shine George & P. P. Anil Kumar, 2022. "Indicator-based assessment of capacity development for disaster preparedness in the Indian context," Environment Systems and Decisions, Springer, vol. 42(3), pages 417-435, September.
    16. Peter John Robinson & W. J. Wouter Botzen & Fujin Zhou, 2021. "An experimental study of charity hazard: The effect of risky and ambiguous government compensation on flood insurance demand," Journal of Risk and Uncertainty, Springer, vol. 63(3), pages 275-318, December.
    17. Dingde Xu & Zhuolin Yong & Xin Deng & Yi Liu & Kai Huang & Wenfeng Zhou & Zhixing Ma, 2019. "Financial Preparation, Disaster Experience, and Disaster Risk Perception of Rural Households in Earthquake-Stricken Areas: Evidence From the Wenchuan and Lushan Earthquakes in China’s Sichuan Province," IJERPH, MDPI, vol. 16(18), pages 1-17, September.
    18. Xue Yang & Shili Guo & Xin Deng & Dingde Xu, 2021. "Livelihood Adaptation of Rural Households under Livelihood Stress: Evidence from Sichuan Province, China," Agriculture, MDPI, vol. 11(6), pages 1-19, May.
    19. Dougherty, John P. & Flatnes, Jon Einar & Gallenstein, Richard A. & Miranda, Mario J. & Sam, Abdoul G., 2020. "Climate change and index insurance demand: Evidence from a framed field experiment in Tanzania," Journal of Economic Behavior & Organization, Elsevier, vol. 175(C), pages 155-184.
    20. Andor, Mark A. & Osberghaus, Daniel & Simora, Michael, 2020. "Natural Disasters and Governmental Aid: Is there a Charity Hazard?," Ecological Economics, Elsevier, vol. 169(C).
    21. Jeet Bahadur Sapkota & Kyosuke Kurita & Pramila Neupane, 2021. "Progress after the 2015 Nepal Earthquake: Evidence from Two Household Surveys in One of the Hardest-Hit Mountain Villages," Sustainability, MDPI, vol. 13(21), pages 1-17, October.

    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:11:p:6635-:d:826782. 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.