Willingness to purchase Genetically Modified food: an analysis applying artificial Neural Networks Reportar como inadecuado




Willingness to purchase Genetically Modified food: an analysis applying artificial Neural Networks - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Findings about consumer decision-making process regarding GM food purchase remainmixed and are inconclusive. This paper offers a model which classifies willingness topurchase GM food, using data from 399 surveys in Southern Spain. Willingness to purchasehas been measured using three dichotomous questions and classification, based on attitudinal,cognitive and socio-demographic factors, has been made by an artificial neural networkmodel. The results show 74% accuracy to forecast the willingness to purchase. The highestrelative contributions lie in the variables related to beliefs, especially those link to perceivedrisks; while the variables with the least relative contribution are age and knowledge on GMO.

Keywords: Genetically Modified Food ; Willingness to purchase ; Artificial Neural Network

Subject(s): Food Consumption/Nutrition/Food Safety

Issue Date: 2014-08

Publication Type: Conference Paper/ Presentation

PURL Identifier: http://purl.umn.edu/182940

Total Pages: 6

Record appears in: European Association of Agricultural Economists (EAAE) > 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia





Autor: Salazar-Ordóñez, M. ; Rodríguez-Entrena, M. ; Becerra-Alonso, D.

Fuente: http://ageconsearch.umn.edu/record/182940?ln=en







Documentos relacionados