001     909160
005     20240711101547.0
024 7 _ |a 10.1016/j.erss.2022.102755
|2 doi
024 7 _ |a 2214-6296
|2 ISSN
024 7 _ |a 2214-6326
|2 ISSN
024 7 _ |a 2128/31690
|2 Handle
024 7 _ |a WOS:000879419400002
|2 WOS
037 _ _ |a FZJ-2022-03039
082 _ _ |a 624
100 1 _ |a Scheller, Fabian
|0 0000-0002-7676-1143
|b 0
|e Corresponding author
245 _ _ |a Competent, trustworthy, and likeable? Exploring which peers influence photovoltaic adoption in Germany
260 _ _ |a Amsterdam ˜[u.a.]œ
|c 2022
|b Elsevier
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1661232339_2169
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Little is known about the role of active peer effects (interpersonal contact) compared to passive peer effects (noticing or seeing) regarding residential photovoltaic (PV) diffusion. Recent literature suggests that peer effects are determined by the perceived credibility of one’s active peer connections regarding PV and passive peer effects. Utilising data from a survey of German house owners who either own a PV or indicate purchase intention (N = 1,165), this paper explores the underlying mechanisms of active peer effects during different stages of PV adoption decision-making. Our findings suggest that the perceived credibility of peers on PV related issues is positively associated with the reported number of adopters in the decision-maker’s peer group (passive peer effect) and also with the progress in the PV adoption decision process. Furthermore, we find a relationship between the perceived credibility of peers regarding PV and the reported influence strength of peer interactions throughout the decision-making processes of German householders, suggesting that subjective evaluations of peers play a role in active peer effects. Finally, we observe an association between the rate of self-initiated peer interactions about PV for respondents with a higher reported number of peers that have adopted PV, suggesting that passive effects (knowing peer PV adopters) play a role in initiating active peer interactions. These results are significant for all sub-groups, regardless of the decision progress. From a policy-making perspective, “bottom-up” efforts such as peer consultation and community-led outreach should be promoted in Germany to empower potential adopters.
536 _ _ |a 1111 - Effective System Transformation Pathways (POF4-111)
|0 G:(DE-HGF)POF4-1111
|c POF4-111
|f POF IV
|x 0
536 _ _ |a 1112 - Societally Feasible Transformation Pathways (POF4-111)
|0 G:(DE-HGF)POF4-1112
|c POF4-111
|f POF IV
|x 1
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Graupner, Sören
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Edwards, James
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Weinand, Jann
|0 P:(DE-Juel1)190787
|b 3
700 1 _ |a Bruckner, Thomas
|0 0000-0002-0355-5533
|b 4
773 _ _ |a 10.1016/j.erss.2022.102755
|g Vol. 91, p. 102755 -
|0 PERI:(DE-600)2763226-X
|p 102755 -
|t Energy research & social science
|v 91
|y 2022
|x 2214-6296
856 4 _ |u https://juser.fz-juelich.de/record/909160/files/1-s2.0-S2214629622002584-main.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:909160
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)190787
913 1 _ |a DE-HGF
|b Forschungsbereich Energie
|l Energiesystemdesign (ESD)
|1 G:(DE-HGF)POF4-110
|0 G:(DE-HGF)POF4-111
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-100
|4 G:(DE-HGF)POF
|v Energiesystemtransformation
|9 G:(DE-HGF)POF4-1111
|x 0
913 1 _ |a DE-HGF
|b Forschungsbereich Energie
|l Energiesystemdesign (ESD)
|1 G:(DE-HGF)POF4-110
|0 G:(DE-HGF)POF4-111
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-100
|4 G:(DE-HGF)POF
|v Energiesystemtransformation
|9 G:(DE-HGF)POF4-1112
|x 1
914 1 _ |y 2022
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-01-27
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1180
|2 StatID
|b Current Contents - Social and Behavioral Sciences
|d 2022-11-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0130
|2 StatID
|b Social Sciences Citation Index
|d 2022-11-24
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b ENERGY RES SOC SCI : 2021
|d 2022-11-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-24
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-24
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b ENERGY RES SOC SCI : 2021
|d 2022-11-24
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IEK-3-20101013
|k IEK-3
|l Technoökonomische Systemanalyse
|x 0
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IEK-3-20101013
981 _ _ |a I:(DE-Juel1)ICE-2-20101013


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21