This paper presents a study focused on potential demand for agricultural multi-functional electric tractor. In this context, the willingness-to-pay is investigated in order to establish the potential diffusion of an electrical solar tractor, by considering different levels of key attributes related to environmental, technical and economical characteristics of different version of alternative fuel tractors. The study is carried out through a choice-experiment and the application of multinomial discrete choice models, by considering heteroscedasticity of the respondent and heterogeneity across alternatives.
Choice modelling and forecasting demand for alternative-fuel tractors / Ginevra V. Lombardi; Rossella Berni. - STAMPA. - 8557:(2014), pp. 115-129. (Intervento presentato al convegno Industrial Conference on Data Mining tenutosi a St. Petersburg (Russia) nel July 16-20, 2014) [10.1007/978-3-319-08976-8_9].
Choice modelling and forecasting demand for alternative-fuel tractors
LOMBARDI, GINEVRA VIRGINIA;BERNI, ROSSELLA
2014
Abstract
This paper presents a study focused on potential demand for agricultural multi-functional electric tractor. In this context, the willingness-to-pay is investigated in order to establish the potential diffusion of an electrical solar tractor, by considering different levels of key attributes related to environmental, technical and economical characteristics of different version of alternative fuel tractors. The study is carried out through a choice-experiment and the application of multinomial discrete choice models, by considering heteroscedasticity of the respondent and heterogeneity across alternatives.
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