In this paper the preferences of agricultural firms towards environmental investments in multi-functional vehicles are analyzed through a choice-experiment and the application of multinomial discrete choice models. Furthermore, recent theoretical issues regarding this methodology have been taken into account by considering the heterogeneity of respondents as well as the heteroschedasticity of the error terms across alternatives. More precisely, the Heteroschedastic Extreme Value (HEV) model is applied in order to further investigate the variability of respond ents when choosing between vehicles with relevant technological differentiations, such as fuel and product performances.

Agricultural multi-functional vehicles and environment: choice experiments and random utility models for investigating renewable energies / R. Berni; G.V. Lombardi. - STAMPA. - (2011), pp. 28-33. (Intervento presentato al convegno ENBIS-DEINDE 2011 tenutosi a Torino, Italia nel 16-18 Marzo 2011).

Agricultural multi-functional vehicles and environment: choice experiments and random utility models for investigating renewable energies

BERNI, ROSSELLA;LOMBARDI, GINEVRA VIRGINIA
2011

Abstract

In this paper the preferences of agricultural firms towards environmental investments in multi-functional vehicles are analyzed through a choice-experiment and the application of multinomial discrete choice models. Furthermore, recent theoretical issues regarding this methodology have been taken into account by considering the heterogeneity of respondents as well as the heteroschedasticity of the error terms across alternatives. More precisely, the Heteroschedastic Extreme Value (HEV) model is applied in order to further investigate the variability of respond ents when choosing between vehicles with relevant technological differentiations, such as fuel and product performances.
2011
ENBIS-DEINDE 2011 Spring Conference
ENBIS-DEINDE 2011
Torino, Italia
16-18 Marzo 2011
R. Berni; G.V. Lombardi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/778436
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