IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v121y2025i2d10.1007_s11069-024-06895-5.html
   My bibliography  Save this article

Enhancing emergency kit preparedness of Indonesia’s poor community through insight from behavioral economics

Author

Listed:
  • Mohamad F. N. Aulady

    (Institut Teknologi Adhi Tama Surabaya)

  • Dwini Handayani

    (Universitas Indonesia)

  • Toshio Fujimi

    (Kyoto University)

Abstract

Flood disasters are becoming more frequent, deadly, and costly due to climate change. Experts predominantly agreed that within the first 3 days after a disaster, people will need to be partially or completely self-sufficient. However, only a few people prepare emergency kits before a disaster occurs, especially poor people. Behavioral economics has been used to promote many behaviors, but rarely in disaster preparedness and response. Providing emergency supplies to everyone after a disaster is essential to prepare for disaster. Thus, an automatic enrollment for having an emergency kit can be an effective way. This study aims to increase emergency kit preparedness via different enrollment strategies. A random sample of 241 respondents in Kademangan village was divided into two groups (voluntary enrolment and automatic enrollment). We provide emergency kit purchases through voluntary enrollment. The automatic enrollment group was automatically enrolled in the emergency kit program through a village charge fee. Predictor variables included age, gender, family size, home ownership, income, education level, perceived flood risk protection, perceived flood risk level, flood experience, and perceived likelihood of flood at home. We then compare the characteristics and the number of participants who enrolled between voluntary versus automatic enrollment approaches using a multivariate logistic regression model, ANOVA t-test, and binary logit regression analysis. Overall, 43% of individuals were enrolled by the automated enrollment strategy, compared to 19% through voluntary enrollment. Young females with higher incomes are likely to enroll in acquiring emergency kits. Because women who make fewer decisions may be more likely to have emergency kits, while young individuals with greater incomes are more prepared for disasters. Furthermore, to reduce the burden on poor village communities it is essential to implement a system that offers incentives from the village fund program to access emergency kits.

Suggested Citation

  • Mohamad F. N. Aulady & Dwini Handayani & Toshio Fujimi, 2025. "Enhancing emergency kit preparedness of Indonesia’s poor community through insight from behavioral economics," 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. 121(2), pages 2095-2110, January.
    • Handle: RePEc:spr:nathaz:v:121:y:2025:i:2:d:10.1007_s11069-024-06895-5
    DOI: 10.1007/s11069-024-06895-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-024-06895-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-024-06895-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Arnaud Chevalier & Colm Harmon & Vincent O’ Sullivan & Ian Walker, 2013. "The impact of parental income and education on the schooling of their children," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-22, December.
    2. Jo Blanden, 2004. "Family Income and Educational Attainment: A Review of Approaches and Evidence for Britain," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 20(2), pages 245-263, Summer.
    3. Arulsamy, Karen & Delaney, Liam, 2022. "The impact of automatic enrolment on the mental health gap in pension participation: Evidence from the UK," Journal of Health Economics, Elsevier, vol. 86(C).
    4. Alison Booth & Hiau Kee, 2009. "Birth order matters: the effect of family size and birth order on educational attainment," Journal of Population Economics, Springer;European Society for Population Economics, vol. 22(2), pages 367-397, April.
    5. Ozili, Peterson K, 2023. "The acceptable R-square in empirical modelling for social science research," MPRA Paper 115769, University Library of Munich, Germany.
    6. Stéphane Hallegatte & Adrien Vogt-Schilb & Julie Rozenberg & Mook Bangalore & Chloé Beaudet, 2020. "From Poverty to Disaster and Back: a Review of the Literature," Economics of Disasters and Climate Change, Springer, vol. 4(1), pages 223-247, April.
    7. Remler, D.K. & Glied, S.A., 2003. "What other programs can teach us: Increasing participation in health insurance programs," American Journal of Public Health, American Public Health Association, vol. 93(1), pages 67-74.
    8. Elaine Vaughan, 1995. "The Significance of Socioeconomic and Ethnic Diversity for the Risk Communication Process," Risk Analysis, John Wiley & Sons, vol. 15(2), pages 169-180, April.
    9. Michal Titko & Jozef Ristvej, 2020. "Assessing Importance of Disaster Preparedness Factors for Sustainable Disaster Risk Management: The Case of the Slovak Republic," Sustainability, MDPI, vol. 12(21), pages 1-20, November.
    10. Wiwandari Handayani & Uchendu Eugene Chigbu & Iwan Rudiarto & Intan Hapsari Surya Putri, 2020. "Urbanization and Increasing Flood Risk in the Northern Coast of Central Java—Indonesia: An Assessment towards Better Land Use Policy and Flood Management," Land, MDPI, vol. 9(10), pages 1-22, September.
    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. Shabana Khan & Jyoti Mishra, 2022. "Critical gaps and implications of risk communication in the global agreements—SFDRR, SDGs, and UNFCCC: 3 select case studies from urban areas of tropics in South Asia," 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. 111(3), pages 2559-2577, April.
    2. Ian Walker & Yu Zhu, 2008. "Child Support and Educational Outcomes: Evidence from the British Household Panel Survey," Studies in Economics 0811, School of Economics, University of Kent.
    3. Randall K. Q. Akee & William E. Copeland & Gordon Keeler & Adrian Angold & E. Jane Costello, 2010. "Parents' Incomes and Children's Outcomes: A Quasi-experiment Using Transfer Payments from Casino Profits," American Economic Journal: Applied Economics, American Economic Association, vol. 2(1), pages 86-115, January.
    4. Sarah Brown & Steven Mcintosh & Karl Taylor, 2011. "Following in Your Parents’ Footsteps? Empirical Analysis of Matched Parent–Offspring Test Scores," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(1), pages 40-58, February.
    5. Regina Riphahn & Florian Schieferdecker, 2012. "The transition to tertiary education and parental background over time," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(2), pages 635-675, January.
    6. Azad, Md Javed & Pritchard, Bill, 2022. "Financial capital as a shaper of households' adaptive capabilities to flood risk in northern Bangladesh," Ecological Economics, Elsevier, vol. 195(C).
    7. Hobbs, Graham & Vignoles, Anna, 2007. "Is free school meal status a valid proxy for socio-economic status (in schools research)?," LSE Research Online Documents on Economics 19385, London School of Economics and Political Science, LSE Library.
    8. Mayang Rizky & Daniel Suryadarma & Asep Suryahadi, "undated". "Dampak Tumbuh dalam Kemiskinan terhadap Hasil Pasar Tenaga Kerja: Bukti dari Indonesia," Working Papers 3540, Communications Section.
    9. Javier Valbuena, 2011. "Family background, gender and cohort effects on schooling decisions," Investigaciones de Economía de la Educación volume 6, in: Antonio Caparrós Ruiz (ed.), Investigaciones de Economía de la Educación 6, edition 1, volume 6, chapter 15, pages 258-290, Asociación de Economía de la Educación.
    10. Akee, Randall K. Q. & Copeland, William & Keeler, Gordon & Angold, Adrian & Costello, Jane E., 2008. "Parents’ Incomes and Children’s Outcomes: A Quasi-Experiment," IZA Discussion Papers 3520, Institute of Labor Economics (IZA).
    11. Jiaxin Fan & Bei Li & Ishita Chatterjee, 2020. "Intergenerational Transmission of Educational Attainment in China," Economics Discussion / Working Papers 20-19, The University of Western Australia, Department of Economics.
    12. Løken, Katrine V., 2010. "Family income and children's education: Using the Norwegian oil boom as a natural experiment," Labour Economics, Elsevier, vol. 17(1), pages 118-129, January.
    13. Arnaud Chevalier & Colm Harmon & Vincent O’ Sullivan & Ian Walker, 2013. "The impact of parental income and education on the schooling of their children," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-22, December.
    14. Cheng, Yawen & Kong, Dongmin & Wang, Qin, 2023. "Parents' early experience and children's years of schooling: The long-term impact of son preference," China Economic Review, Elsevier, vol. 82(C).
    15. Goodman, Joshua & Hurwitz, Michael & Smith, Jonathan & Fox, Julia, 2015. "The relationship between siblings’ college choices: Evidence from one million SAT-taking families," Economics of Education Review, Elsevier, vol. 48(C), pages 75-85.
    16. Bratti, Massimiliano & Mendola, Mariapia, 2014. "Parental health and child schooling," Journal of Health Economics, Elsevier, vol. 35(C), pages 94-108.
    17. Maria Polorecka & Jozef Kubas & Pavel Danihelka & Katarina Petrlova & Katarina Repkova Stofkova & Katarina Buganova, 2021. "Use of Software on Modeling Hazardous Substance Release as a Support Tool for Crisis Management," Sustainability, MDPI, vol. 13(1), pages 1-15, January.
    18. Bingley Paul & Walker Ian & Zhu Yu, 2005. "Education, Work and Wages in the UK," German Economic Review, De Gruyter, vol. 6(3), pages 395-414, August.
    19. Åslund, Olof & Grönqvist, Hans, 2010. "Family size and child outcomes: Is there really no trade-off?," Labour Economics, Elsevier, vol. 17(1), pages 130-139, January.
    20. Leandro DE MAGALHÃES & Dongya KOH & Räul SANTAEULILA-LLOPIS, 2019. "The Cost of Consumption Smoothing: Less Schooling and less Nutrition," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 85(3), pages 181-208, September.

    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:spr:nathaz:v:121:y:2025:i:2:d:10.1007_s11069-024-06895-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.