IDEAS home Printed from https://ideas.repec.org/a/ags/earnsa/404225.html

Drivers and necessary conditions for the purchase intention of Genetically Modified Food among older consumers in Spain

Author

Listed:
  • de Andrés-Sánchez, Jorge
  • Puelles-Gallo, María
  • Souto-Romero, Mar
  • Arias-Oliva, Mario

Abstract

[EN] This study analyses purchase intention toward genetically modified foods among older Spanish consumers (Generation X and Baby Boomers) using the TRA framework and a sample of 248 respondents. PLS-SEM results (R² = 0.71) show that subjective norms have the strongest positive effect, perceived usefulness also has a positive impact, and perceived risk has a negative effect. Perceived value influences intention indirectly through usefulness, while sociodemographic variables are not significant. NCA findings identify perceived usefulness and perceived value as necessary conditions for achieving high purchase intention. [ES] El estudio analiza la intención de compra de alimentos modificados genéticamente en consumidores españoles mayores (Generación X y Baby Boomers) mediante el modelo TRA y una muestra de 248 personas. Con PLS-SEM (R²=0,71) se observa que las normas subjetivas influyen positivamente con mayor fuerza, la utilidad percibida también impacta positivamente y el riesgo percibido lo hace negativamente. El valor percibido actúa de forma indirecta a través de la utilidad. Las variables sociodemográficas no resultan significativas. El NCA identifica la utilidad y el valor percibidos como condiciones necesarias para una alta intención de compra.

Suggested Citation

  • de Andrés-Sánchez, Jorge & Puelles-Gallo, María & Souto-Romero, Mar & Arias-Oliva, Mario, 2026. "Drivers and necessary conditions for the purchase intention of Genetically Modified Food among older consumers in Spain," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 18(02), June.
  • Handle: RePEc:ags:earnsa:404225
    DOI: 10.22004/ag.econ.404225
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/404225/files/EARN_2026_01-260106.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.404225?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

    ;

    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:earnsa:404225. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aeeaaea.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.