IDEAS home Printed from https://ideas.repec.org/a/gam/jrisks/v12y2024i10p158-d1493404.html
   My bibliography  Save this article

Community-Based Disaster Insurance for Sustainable Economic Loss Risk Mitigation: A Systematic Literature Review

Author

Listed:
  • Titi Purwandari

    (Department of Statistic, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang 45363, Indonesia)

  • Hilda Azkiyah Surya

    (Doctoral Program in Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang 45363, Indonesia)

  • Riaman

    (Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang 45363, Indonesia)

  • Yuyun Hidayat

    (Department of Statistic, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang 45363, Indonesia)

  • Sukono

    (Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang 45363, Indonesia)

  • Moch Panji Agung Saputra

    (Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang 45363, Indonesia)

Abstract

This systematic literature review (SLR) explores the role of community-based catastrophe insurance (CBCI) as a tool for sustainable economic loss risk mitigation. Utilizing bibliometric analysis and a literature review, this study aims to reveal the methods employed in CBCI schemes from a novel perspective, highlighting their effectiveness in mitigating catastrophe risks. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology was employed to systematically collect and analyze articles sourced from the Scopus, ScienceDirect, and Dimensions databases. The findings provide a comprehensive summary of the CBCI implementation, including various considerations such as risk-sharing mechanisms, premium determination, and policy frameworks. This research offers a fresh perspective on CBCI as a sustainable approach to catastrophe risk mitigation, contributing valuable insights to policymakers, practitioners, and researchers interested in community resilience and disaster risk management.

Suggested Citation

  • Titi Purwandari & Hilda Azkiyah Surya & Riaman & Yuyun Hidayat & Sukono & Moch Panji Agung Saputra, 2024. "Community-Based Disaster Insurance for Sustainable Economic Loss Risk Mitigation: A Systematic Literature Review," Risks, MDPI, vol. 12(10), pages 1-20, October.
    • Handle: RePEc:gam:jrisks:v:12:y:2024:i:10:p:158-:d:1493404
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-9091/12/10/158/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-9091/12/10/158/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yasuyuki Sawada, 2017. "Disasters, Household Decisions, and Insurance Mechanisms: A Review of Evidence and a Case Study from a Developing Country in Asia," Asian Economic Policy Review, Japan Center for Economic Research, vol. 12(1), pages 18-40, January.
    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. Sakai, Yoko & Estudillo, Jonna P. & Fuwa, Nobuhiko & Higuchi, Yuki & Sawada, Yasuyuki, 2017. "Do Natural Disasters Affect the Poor Disproportionately? Price Change and Welfare Impact in the Aftermath of Typhoon Milenyo in the Rural Philippines," World Development, Elsevier, vol. 94(C), pages 16-26.
    2. Euston Quah, 2017. "Comment on “Disasters, Household Decisions, and Insurance Mechanisms: A Review of Evidence and a Case Study from a Developing Country in Asia”," Asian Economic Policy Review, Japan Center for Economic Research, vol. 12(1), pages 41-42, January.
    3. Bulaon, June Patrick & Shoji, Masahiro, 2022. "Disaster Exposure in Childhood and Adult Noncognitive Skill: Evidence from the Philippines," MPRA Paper 112913, University Library of Munich, Germany.
    4. Sawada, Yasuyuki & Takasaki, Yoshito, 2017. "Natural Disaster, Poverty, and Development: An Introduction," World Development, Elsevier, vol. 94(C), pages 2-15.
    5. Yin, Zhichao & Yan, Yu & Chen, Xirong & Liu, Taixing, 2022. "Earthquake and household energy consumption – Evidence from the Wenchuan earthquake in China," Energy Economics, Elsevier, vol. 111(C).
    6. Fu, Zhenqi & Tao, Yunqing, 2022. "Land disasters and farmers’ private credit," Finance Research Letters, Elsevier, vol. 47(PB).
    7. Takatoshi Ito & Kazumasa Iwata & Jong-Wha Lee & Colin McKenzie & Shujiro Urata, 2017. "Labor, Health and Education in Asia-Analysis of Micro Data: Editors' Overview," Asian Economic Policy Review, Japan Center for Economic Research, vol. 12(1), pages 1-17, January.

    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:jrisks:v:12:y:2024:i:10:p:158-:d:1493404. 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.