IDEAS home Printed from https://ideas.repec.org/a/kof/anskof/v11y2017i3p105-114.html
   My bibliography  Save this article

Les effets d’un choc climatique sur le marché des vins suisses: le cas de la région Neuchâtel – Trois-Lacs

Author

Listed:
  • Alexandre Mondoux

Abstract

Climatic shocks are increasingly frequent in Switzerland and can have very negative consequences for wine growers and wine producers. Their impacts on harvesting can be readily obtained, but there is still a lack of a model to estimate the potential decline in wine consumption for the affected regions. In this paper, we are able to exploit the treatment effect of a hailstorm in the Neuchâtel – Three Lakes wine region (a natural experiment) in 2013, using the econometric method difference-in-differences (DID) on the performance of Swiss supermarkets. We find statis - tically significant results (level

Suggested Citation

  • Alexandre Mondoux, 2017. "Les effets d’un choc climatique sur le marché des vins suisses: le cas de la région Neuchâtel – Trois-Lacs," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 11(3), pages 105-114, October.
    • Handle: RePEc:kof:anskof:v:11:y:2017:i:3:p:105-114
    DOI: 10.3929/ethz-a-005427569
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.3929/ethz-a-005427569
    Download Restriction: no
    File URL: https://libkey.io/10.3929/ethz-a-005427569?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
    ---><---

    More about this item

    Keywords

    wine economy; difference-in-differences; climate shock; retail market;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

    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:kof:anskof:v:11:y:2017:i:3:p:105-114. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/koethch.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.