Energy transition at local level: Analyzing the role of peer effects and socio-economic factors on UK solar photovoltaic deployment
- 1. School of Water, Energy and Environment, Cranfield University, Cranfield, Bedfordshire, MK43 0AL (United Kingdom)
- 2. TED University Department of Economics, Ziya Gökalp Cad. No. 48, 06420, Ankara (Turkey)
- 3. University of Exeter, Penryn Campus, Treliever Road, Penryn, Cornwall, TR10 9FE (United Kingdom)
Description
Highlights: • The impact of socio-economic variables on PV uptake is spatially heterogeneous. • Membership in environment and energy related charities facilitate PV uptake. • Three geographical areas with distinctive characteristics are identified. • Self-employment positively influences PV uptake. • Significant impacts of sparseness, housing types, heating systems and home ownership. 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.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.enpol.2020.112004Additional details
Identifiers
- DOI
- 10.1016/j.enpol.2020.112004;
- PII
- S0301421520307151;
Publishing Information
- Journal Title
- Energy Policy
- Journal Volume
- 148
- Journal Page Range
- vp.
- ISSN
- 0301-4215
- CODEN
- ENPYAC
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54023978
- Subject category
- S14: SOLAR ENERGY;
- Descriptors DEI
- COMPUTERIZED SIMULATION; HEATING SYSTEMS; PHOTOVOLTAIC EFFECT; PLANNING; POPULATION DENSITY; SOLAR CELLS
- Descriptors DEC
- DIRECT ENERGY CONVERTERS; ENERGY SYSTEMS; EQUIPMENT; PHOTOELECTRIC CELLS; PHOTOELECTRIC EFFECT; PHOTOVOLTAIC CELLS; SIMULATION; SOLAR EQUIPMENT
Optional Information
- Copyright
- Copyright (c) 2020 The Authors. Published by Elsevier Ltd.