期刊
ENERGY POLICY
卷 148, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.enpol.2020.112004
关键词
Spatial modelling; Local energy; Energy transition; Peer effect; Geographically weighted regression
资金
- UK Engineering and Physical Sciences Research Council [EP/R002320/1]
- EPSRC [EP/R002320/1] Funding Source: UKRI
Research indicates the presence of spatial differences in solar photovoltaic adoption patterns, with charities serving as a proxy variable to capture social interaction opportunities and peer effects. A geographically weighted regression model reveals significantly more variability in the relationship between PV adoption and socioeconomic factors, showing that charities and self-employment have a positive impact on PV uptake.
A 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 socioeconomic 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.
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