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| 1 |
ID:
176108
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| Summary/Abstract |
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 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.
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| 2 |
ID:
126513
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| Publication |
2013.
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| Summary/Abstract |
The aim of this paper is to explore social barriers to the adoption of smart homes through the analysis of expert views and public attitudes. Smart home services aim to improve the comfort, convenience and safety of householders, as well as allowing them to use energy more efficiently and cope with increasing costs. Despite the existence of smart homes and smart home technologies for some time, their prevalence is not widespread, and thus their potential largely untapped. Using a combination of in-depth deliberative public workshops, expert interviews and a review of the existing literature, this paper explores social barriers to smart home diffusion, including how these vary by expertise, life-stage and location. The research highlights the importance of barriers such as control, security, and cost, providing insights for policymakers as well as smart-home designers and developers as to how these might be addressed.
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