IDEAS home Printed from https://ideas.repec.org/h/elg/eechap/14656_8.html
   My bibliography  Save this book chapter

Progressive adaptation strategies in European coastal cities: a response to flood-risk under uncertainty

In: Handbook on the Economics of Climate Change

Author

Listed:
  • Luis M. Abadie
  • Elisa Sainz de Murieta
  • Ibon Galarraga
  • Anil Markandya

Abstract

This chapter presents a stochastic diffusion model to model sea-level rise (SLR) in a novel, non-deterministic way. The use of this model allows us to estimate two risk measures, VAR and ES that, while relatively well-known in financial economics and very suitable measures to analyse SLR, have not been used sufficiently to address issues such as climate impacts. The VAR measure will enable understanding the threshold of average damages that leads to the worst 5% of the cases. The ES instead shows what the average damage will be for those 5% worst cases. Dealing with these low probability but very large impacts is a relevant issue in climate change economics. We illustrate the methodology by assessing the risk of SLR in 19 major European coastal cities and show that, when uncertainty is present, VAR and ES measures are better guides for policy than usual average values.

Suggested Citation

  • Luis M. Abadie & Elisa Sainz de Murieta & Ibon Galarraga & Anil Markandya, 2020. "Progressive adaptation strategies in European coastal cities: a response to flood-risk under uncertainty," Chapters, in: Graciela Chichilnisky & Armon Rezai (ed.), Handbook on the Economics of Climate Change, chapter 8, pages 167-198, Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:14656_8
    as

    Download full text from publisher

    File URL: https://www.elgaronline.com/view/edcoll/9780857939050/9780857939050.00015.xml
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Economics and Finance; Environment;

    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:elg:eechap:14656_8. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Darrel McCalla (email available below). General contact details of provider: http://www.e-elgar.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.