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Quantification of disaster impacts through household well-being losses

Author

Listed:
  • Maryia Markhvida

    (Stanford University)

  • Brian Walsh

    (World Bank, GFDRR)

  • Stephane Hallegatte

    (World Bank, GFDRR)

  • Jack Baker

    (Stanford University)

Abstract

Natural disaster risk assessments typically consider environmental hazard and physical damage, neglecting to quantify how asset losses affect households’ well-being. However, for a given asset loss, a wealthy household might quickly recover, while a poor household might suffer major, long-lasting impacts. This research proposes a methodology to quantify disaster impacts more equitably by integrating the three pillars of sustainability: environmental (hazard and asset damage), economic (macro-economic changes in production and employment) and social (disaster recovery at the household level). The model innovates by assessing the impacts of disasters on people’s consumption, considering asset losses and changes in income, among other factors. We apply the model to a hypothetical earthquake in the San Francisco Bay Area, considering the differential impact of consumption loss on households of varying wealth. The analysis reveals that poorer households suffer 19% of the asset losses but 41% of the well-being losses. Furthermore, we demonstrate that the effectiveness of specific policies varies across cities (depending on their built environment and social and economic profiles) and income groups.

Suggested Citation

  • Maryia Markhvida & Brian Walsh & Stephane Hallegatte & Jack Baker, 2020. "Quantification of disaster impacts through household well-being losses," Nature Sustainability, Nature, vol. 3(7), pages 538-547, July.
  • Handle: RePEc:nat:natsus:v:3:y:2020:i:7:d:10.1038_s41893-020-0508-7
    DOI: 10.1038/s41893-020-0508-7
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    Cited by:

    1. Faxi Yuan & Amir Esmalian & Bora Oztekin & Ali Mostafavi, 2021. "Unveiling Spatial Patterns of Disaster Impacts and Recovery Using Credit Card Transaction Variances," Papers 2101.10090, arXiv.org.
    2. Mariagrazia D'Angeli & Giovanni Marin & Elena Paglialunga, 2022. "Climate Change, Armed Conflicts and Resilience," Working Papers 2022.04, Fondazione Eni Enrico Mattei.
    3. Sunbin Yoo & Junya Kumagai & Yuta Kawabata & Alexander Ryota Keeley & Shunsuke Managi, 2022. "Insuring Well-Being: Psychological Adaptation to Disasters," Economics of Disasters and Climate Change, Springer, vol. 6(3), pages 471-494, November.
    4. Abhijit Chakraborty & Tobias Reisch & Christian Diem & Pablo Astudillo-Estévez & Stefan Thurner, 2024. "Inequality in economic shock exposures across the global firm-level supply network," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    5. Amory Martin & Maryia Markhvida & Stéphane Hallegatte & Brian Walsh, 2020. "Socio-Economic Impacts of COVID-19 on Household Consumption and Poverty," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 453-479, October.
    6. Sean Fox & Felix Agyemang & Laurence Hawker & Jeffrey Neal, 2024. "Integrating social vulnerability into high-resolution global flood risk mapping," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    7. Sadeeb S. Ottenburger & Rob Cox & Badrul H. Chowdhury & Dmytro Trybushnyi & Ehmedi Al Omar & Sujay A. Kaloti & Ulrich Ufer & Witold-R. Poganietz & Weijia Liu & Evgenia Deines & Tim O. Müller & Stella , 2024. "Sustainable urban transformations based on integrated microgrid designs," Nature Sustainability, Nature, vol. 7(8), pages 1067-1079, August.
    8. Agarwal, Sumit & Ghosh, Pulak & Zheng, Huanhuan, 2024. "Consumption response to a natural disaster: Evidence of price and income shocks from Chennai flood," Energy Economics, Elsevier, vol. 131(C).
    9. Daniel Pop, 2024. "The distributional outcomes of one-size-fits-all policy response to societal disruptions on local government transfer dependence," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 18(1), pages 108-124, June.
    10. Eyitayo A. Opabola & Carmine Galasso, 2024. "Informing disaster-risk management policies for education infrastructure using scenario-based recovery analyses," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    11. Markhof,Yannick Valentin & Ponzini,Giulia & Wollburg,Philip Randolph, 2022. "Measuring Disaster Crop Production Losses Using Survey Microdata : Evidence from Sub-Saharan Africa," Policy Research Working Paper Series 9968, The World Bank.
    12. Yue Dou & Muhammad Shahbaz & Kangyin Dong & Xiucheng Dong, 2022. "How natural disasters affect carbon emissions: the global case," 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. 113(3), pages 1875-1901, September.
    13. Avraam, Charalampos & Ceferino, Luis & Dvorkin, Yury, 2023. "Operational and economy-wide impacts of compound cyber-attacks and extreme weather events on electric power networks," Applied Energy, Elsevier, vol. 349(C).
    14. Du, Ao & Wang, Xiaowei & Xie, Yazhou & Dong, You, 2023. "Regional seismic risk and resilience assessment: Methodological development, applicability, and future research needs – An earthquake engineering perspective," Reliability Engineering and System Safety, Elsevier, vol. 233(C).

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