Attribute valence framing to promote pro-environmental transport behavior - Archive ouverte HAL Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2021

Attribute valence framing to promote pro-environmental transport behavior

Résumé

The transportation sector constitutes one of the main contributors to CO2 emissions. Several incentive measures have been already proposed by economists to mitigate these emissions. But, as we all know, these tools have met with mixed success. This paper proposes the use of attribute valence framing, i.e. a description of the same object/characteristics positively or negatively, in order to reduce CO2 emissions. This so-called nudge is easier to implement than more traditional tools, such as taxation, and does not rely on the stringent assumption that individuals are fully rational. The findings from a discrete choice experiment focusing on long-distance travel choice are reported herein. Results indicate that a loss framing on CO2 emissions significantly increases the respondents' practice of pro-environmental behaviors. The framing effect is larger when applied to CO2 than to travel duration (+50% and +30% of the willingness to pay, respectively). In employing psychological constructs, it is shown that preferences are affected by individuals' psychological features (i.e. a preference for the future and environmental self-identity), and moreover that the magnitude of the framing effect depends on individuals' motivational strategies.
Fichier principal
Vignette du fichier
Collet_al_Attribute_valence_framing_effect_preprint.pdf (591.8 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03321706 , version 1 (18-08-2021)
hal-03321706 , version 2 (30-10-2021)
hal-03321706 , version 3 (14-10-2022)

Identifiants

  • HAL Id : hal-03321706 , version 1

Citer

Charles Collet, Pascal Gastineau, Benoit Chèze, Frederic Martinez, Pierre-Alexandre Mahieu. Attribute valence framing to promote pro-environmental transport behavior. 2021. ⟨hal-03321706v1⟩
534 Consultations
335 Téléchargements

Partager

Gmail Facebook X LinkedIn More