Beliefs about technological and contextual features drive biofuels' social acceptance

Mosca, O
;
Fornara, F
2024-01-01

Abstract

To make the transition towards renewable and sustainable energy possible, there is a need to make new relevant technologies, including biofuels more acceptable and accepted. To promote biofuels acceptance and thus adoption means to improve both their perceived technological features and the surrounding context supporting their adoption, as well as some social-psychological features of the target adopters. Achieving the ultimate goal of biofuels adoption thus requires a complex and holistic approach to foster this new energy technology's acceptability and acceptance considering several biofuels features. For this aim, the integrated Sustainable Energy Technology Adoption Model (i-SETA) was developed and tested with newly piloted tools to measure the relevant biofuels' beliefs profile. A Path Analysis tested the relationship between the investigated variables. Results revealed the importance of beliefs belonging to each one of the different considered domains (technological, contextual, and personal variables). Several of them had a direct impact on the cognitive and affective biofuels evaluation, and subsequently on biofuels acceptability and acceptance, for European Union both laypeople and expert stakeholders (total sample of 1017 participants). The main results thus revealed that very specific beliefs, across all the three beliefs classes, can be identified as either barriers or drivers with respect to the aim of boosting biofuels' acceptability and acceptance. Each one of these specific beliefs could thus be properly targeted in the audiences to cope with the barriers and capitalize on the drivers.
2024
2023
Inglese
189
113867
14
Esperti anonimi
internazionale
scientifica
Biofuel; Acceptability; Acceptance; i-SETA model; Technological features; Contextual features; Social-psychological features
no
Bonaiuto, M; Mosca, O; Milani, A; Ariccio, S; Dessi, F; Fornara, F
1.1 Articolo in rivista
info:eu-repo/semantics/article
1 Contributo su Rivista::1.1 Articolo in rivista
262
6
open
Files in This Item:
File Size Format  
Bonaiuto et al 2024 RSER.pdf

open access

Type: versione editoriale
Size 3.53 MB
Format Adobe PDF
3.53 MB Adobe PDF View/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Questionnaire and social

Share on:
Impostazioni cookie