IDEAS home Printed from https://ideas.repec.org/p/ags/eaae08/43643.html
   My bibliography  Save this paper

A Structural Equation Model of Farmers Operating within Nitrate Vulnerable Zones (NVZ) in Scotland

Author

Listed:
  • Toma, Luiza
  • Barnes, Andrew Peter
  • Willock, J.
  • Hall, Clare

Abstract

Structural Equation Modelling (SEM) offers a theoretical basis for developing an understanding of the relationships between attitudes and behaviour. This paper imposes the SEM framework to a compulsory regulation which focuses on reducing diffuse water pollution, namely Nitrate Vulnerable Zones (NVZ). We use a data set collected through a farm survey within NVZs in Scotland in 2007. The model includes six latent variables expressing farmers’ nitrate reducing behaviour, nitrate reducing and profit maximizing behavioural propensities and the underlying determining factors, namely attitude (risk perception) and socio-economic latent variables (access to information and stocking density). The results indicate that the model has an adequate fit to the data and access to information is the strongest determinant of farmers’ nitrate reducing behaviour.

Suggested Citation

  • Toma, Luiza & Barnes, Andrew Peter & Willock, J. & Hall, Clare, 2008. "A Structural Equation Model of Farmers Operating within Nitrate Vulnerable Zones (NVZ) in Scotland," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 43643, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae08:43643
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/43643
    Download Restriction: no

    More about this item

    Keywords

    Nitrate Vulnerable Zones; Structural equation modeling with latent variables; Scotland; Environmental Economics and Policy;

    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:ags:eaae08:43643. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/eaaeeea.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.