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dc.contributor.authorBalta-Ozkan, N
dc.contributor.authorYildirim, J
dc.contributor.authorConnor, PM
dc.contributor.authorTruckell, I
dc.contributor.authorHart, P
dc.date.accessioned2020-12-01T15:49:50Z
dc.date.issued2020-11-03
dc.description.abstractA growing literature highlights the presence of spatial differences in solar photovoltaic (PV) adoption patterns. Central to forward planning is an understanding of what affects PV growth, yet insights into the determinants of PV adoption in the literature are limited. What factors do drive the adoption at local level? Are the effects of these factors geographically uniform or are there nuances? What is the nature of these nuances? Existing studies so far use aggregate macro datasets with limited ability to capture the role of peer effects. This paper considers some established variables but also broadens the base of variables to try to identify new indicators relating to PV adoption. Specifically, it analyses domestic PV adoption in the UK at local level using data on the number of charities as a proxy to capture the opportunities to initiate social interactions and peer effects. A geographically weighted regression model that considers the spatially varying relationship between PV adoption and socio-economic explanatory variables reveals significantly more variability than the global regression. Our results show that charities and self-employment positively influence PV uptake while other socio-economic variables such as population density has bidirectional impacts.en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.identifier.citationVol. 148 (part B), article 112004en_GB
dc.identifier.doi10.1016/j.enpol.2020.112004
dc.identifier.grantnumberEP/R002320/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/123860
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights© 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectSpatial modellingen_GB
dc.subjectLocal energyen_GB
dc.subjectEnergy transitionen_GB
dc.subjectPeer effecten_GB
dc.titleEnergy transition at local level: Analyzing the role of peer effects and socio-economic factors on UK solar photovoltaic deploymenten_GB
dc.typeArticleen_GB
dc.date.available2020-12-01T15:49:50Z
dc.identifier.issn0301-4215
dc.descriptionThis is the final version. Available on open access from Elsevier via the DOI in this recorden_GB
dc.descriptionData statement: The study uses publically available data sources as outlined in Table 4. The raw data used in the analysis can be accessed via DOI: 10.17862/cranfield.rd.13160030.en_GB
dc.identifier.journalEnergy Policyen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_GB
dcterms.dateAccepted2020-10-23
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-11-03
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-12-01T15:48:15Z
refterms.versionFCDVoR
refterms.dateFOA2020-12-01T15:49:59Z
refterms.panelBen_GB


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© 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).