IDEAS home Printed from https://ideas.repec.org/a/oup/erevae/v48y2021i5p1074-1108..html
   My bibliography  Save this article

Climate variability, innovation and firm performance: evidence from the European agricultural sector
[The adoption and impact of soil and water conservation technology: an endogenous switching regression application]

Author

Listed:
  • Sabrina Auci
  • Nicolò Barbieri
  • Manuela Coromaldi
  • Melania Michetti

Abstract

It is generally accepted that adaptation to climate variability requires a technological advancement strategy. However, the innovation process has received little explicit consideration in this framework. We employ a panel endogenous switching regression model to explore whether and to what extent climate variability affects firm performance through the ability to induce the development of adaptation innovations in key resource-based sectors in Europe during the period 2007–2017. Our findings confirm that the knowledge generation process at the heart of climate change adaptation technologies enhances firm performance, especially for firms in the aquaculture and fishing sub-sectors in northern European countries.

Suggested Citation

  • Sabrina Auci & Nicolò Barbieri & Manuela Coromaldi & Melania Michetti, 2021. "Climate variability, innovation and firm performance: evidence from the European agricultural sector [The adoption and impact of soil and water conservation technology: an endogenous switching regr," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(5), pages 1074-1108.
    • Handle: RePEc:oup:erevae:v:48:y:2021:i:5:p:1074-1108.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/erae/jbab039
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ilan Noy & Eric Strobl, 2023. "Creatively Destructive Hurricanes: Do Disasters Spark Innovation?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(1), pages 1-17, January.
    2. Yuxuan Xu & Jie Lyu & Ying Xue & Hongbin Liu, 2022. "Does the Agricultural Productive Service Embedded Affect Farmers’ Family Economic Welfare Enhancement? An Empirical Analysis in Black Soil Region in China," Agriculture, MDPI, vol. 12(11), pages 1-22, November.

    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:oup:erevae:v:48:y:2021:i:5:p:1074-1108.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.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.