An assessment of the barriers to the consumers' uptake of genetically modified foods: a neural network analysis.
Journal:
Journal of the science of food and agriculture
Published Date:
Jun 9, 2015
Abstract
BACKGROUND: This paper studies which of the attitudinal, cognitive and socio-economic factors determine the willingness to purchase genetically modified (GM) food, enabling the forecasting of consumers' behaviour in Andalusia, southern Spain. This classification has been made by a standard multilayer perceptron neural network trained with extreme learning machine. Later, an ordered logistic regression was applied to determine whether the neural network can outperform this traditional econometric approach.