IDEAS home Printed from https://ideas.repec.org/p/bbv/wpaper/2513.html

El impacto de los eventos climáticos extremos: evidencia de las inundaciones en Valencia
[Quantifying the economic impact of extreme climate events: evidence from Valencia\\\'s floods]

Author

Listed:
  • Camilo Ulloa
  • Agustín García
  • Joxe Mari Barrutiabengoa

Abstract

Este documento presenta un marco metodológico para cuantificar el impacto económico de desastres naturales. Estima una función de daños y mide los efectos sobre el empleo usando un modelo espacial dinámico. La DANA 2024 en Valencia valida el enfoque, y destaca la importancia de la localización y las indemnizaciones. This paper presents a methodological framework to quantify the economic impact of natural disasters. It estimates a damage function and measures employment effects using a dynamic spatial model. The 2024 DANA in Valencia validates the approach and highlights the importance of both location and compensation mechanisms.

Suggested Citation

  • Camilo Ulloa & Agustín García & Joxe Mari Barrutiabengoa, 2025. "El impacto de los eventos climáticos extremos: evidencia de las inundaciones en Valencia [Quantifying the economic impact of extreme climate events: evidence from Valencia\\\'s floods]," Working Papers 25/13, BBVA Bank, Economic Research Department.
  • Handle: RePEc:bbv:wpaper:2513
    as

    Download full text from publisher

    File URL: https://www.bbvaresearch.com/wp-content/uploads/2025/11/WP_25_13_WB.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vasco M Carvalho & Makoto Nirei & Yukiko U Saito & Alireza Tahbaz-Salehi, 2021. "Supply Chain Disruptions: Evidence from the Great East Japan Earthquake," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(2), pages 1255-1321.
    2. Jeffrey Groen & Anne Polivka, 2010. "Going home after Hurricane Katrina: Determinants of return migration and changes in affected areas," Demography, Springer;Population Association of America (PAA), vol. 47(4), pages 821-844, November.
    3. Kousky, Carolyn, 2014. "Informing climate adaptation: A review of the economic costs of natural disasters," Energy Economics, Elsevier, vol. 46(C), pages 576-592.
    4. Noy, Ilan, 2009. "The macroeconomic consequences of disasters," Journal of Development Economics, Elsevier, vol. 88(2), pages 221-231, March.
    5. Eric Strobl, 2011. "The Economic Growth Impact of Hurricanes: Evidence from U.S. Coastal Counties," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 575-589, May.
    6. Eduardo Cavallo & Sebastian Galiani & Ilan Noy & Juan Pantano, 2013. "Catastrophic Natural Disasters and Economic Growth," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1549-1561, 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. Emmanuel Apergis & Nicholas Apergis, 2021. "The impact of COVID-19 on economic growth: evidence from a Bayesian Panel Vector Autoregressive (BPVAR) model," Applied Economics, Taylor & Francis Journals, vol. 53(58), pages 6739-6751, December.
    2. Susana Ferreira, 2024. "Extreme Weather Events and Climate Change: Economic Impacts and Adaptation Policies," Annual Review of Resource Economics, Annual Reviews, vol. 16(1), pages 207-231, October.
    3. Boustan, Leah Platt & Kahn, Matthew E. & Rhode, Paul W. & Yanguas, Maria Lucia, 2020. "The effect of natural disasters on economic activity in US counties: A century of data," Journal of Urban Economics, Elsevier, vol. 118(C).
    4. Fujin Zhou & Wouter Botzen, 2021. "Firm Level Evidence of Disaster Impacts on Growth in Vietnam," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(2), pages 277-322, June.
    5. Lazzaroni, Sara & van Bergeijk, Peter A.G., 2014. "Natural disasters' impact, factors of resilience and development: A meta-analysis of the macroeconomic literature," Ecological Economics, Elsevier, vol. 107(C), pages 333-346.
    6. Clò, Stefano & David, Francesco & Segoni, Samuele, 2024. "The impact of hydrogeological events on firms: Evidence from Italy," Journal of Environmental Economics and Management, Elsevier, vol. 124(C).
    7. William Ginn, 2022. "Climate Disasters and the Macroeconomy: Does State-Dependence Matter? Evidence for the US," Economics of Disasters and Climate Change, Springer, vol. 6(1), pages 141-161, March.
    8. Huang, Lulu & Liu, Qiannan & Tang, Yugang, 2024. "Long-term economic impact of disasters: Evidence from multiple earthquakes in China," World Development, Elsevier, vol. 174(C).
    9. Pelli, Martino & Tschopp, Jeanne & Bezmaternykh, Natalia & Eklou, Kodjovi M., 2023. "In the eye of the storm: Firms and capital destruction in India," Journal of Urban Economics, Elsevier, vol. 134(C).
    10. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Samba Diop & Simplice A. Asongu & Vanessa S. Tchamyou, 2021. "Mitigating the Macroeconomic Impact of Severe Natural Disasters in Africa: Policy Synergies," Working Papers 21/094, European Xtramile Centre of African Studies (EXCAS).
    12. Hiroki Onuma & Kong Joo Shin & Shunsuke Managi, 2021. "Short-, Medium-, and Long-Term Growth Impacts of Catastrophic and Non-catastrophic Natural Disasters," Economics of Disasters and Climate Change, Springer, vol. 5(1), pages 53-70, April.
    13. Chi-Young Choi & Yu Zhang & Michelle Hummel & Qin Qian, 2025. "Reassessing the economic impacts of Hurricane Harvey on Texas: a closer look with granular analyses," 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(5), pages 5921-5945, March.
    14. Narasingha Das & Partha Gangopadhyay, 2023. "Did weekly economic index and volatility index impact US food sales during the first year of the pandemic?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    15. Felbermayr, Gabriel & Gröschl, Jasmin & Sanders, Mark & Schippers, Vincent & Steinwachs, Thomas, 2018. "Shedding Light on the Spatial Diffusion of Disasters," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181556, Verein für Socialpolitik / German Economic Association.
    16. Duqi, Andi & McGowan, Danny & Onali, Enrico & Torluccio, Giuseppe, 2021. "Natural disasters and economic growth: The role of banking market structure," Journal of Corporate Finance, Elsevier, vol. 71(C).
    17. Yuzuka Kashiwagi & Yasuyuki Todo & Petr Matous, 2021. "Propagation of economic shocks through global supply chains—Evidence from Hurricane Sandy," Review of International Economics, Wiley Blackwell, vol. 29(5), pages 1186-1220, November.
    18. Ryota Nakatani, 2021. "Fiscal Rules for Natural Disaster- and Climate Change-Prone Small States," Sustainability, MDPI, vol. 13(6), pages 1-26, March.
    19. Martina Kirchberger, 2014. "Natural Disasters and Labour Markets," Economics Series Working Papers WPS/2014-19, University of Oxford, Department of Economics.
    20. Lee H. Endress & James A. Roumasset & Christopher A. Wada, 2020. "Do Natural Disasters Make Sustainable Growth Impossible?," Economics of Disasters and Climate Change, Springer, vol. 4(2), pages 319-345, July.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:bbv:wpaper:2513. 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: OSCAR DE LAS PENAS SANCHEZ-CARO (email available below). General contact details of provider: https://edirc.repec.org/data/ebbvaes.html .

    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.