Peer Effects in the Diffusion of Solar Photovoltaic Panels
By Bryan K. Bollinger, Kenneth T. Gillingham. Marketing science (Providence, R.I.), 2012
973 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/6b19281fdce3913f63271f58f330b16b7c5874f1
How researchers see this paper
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In Economics and Econometrics
- Francesco Vona
- Richard T. Carson
- Charlie Wilson
- S. Borenstein
- David Popp
- R. Wiser
- C. Cattaneo
- Omar Isaac Asensio
In Management Science and Operations Research
- Francesco Vona
- Anna Kowalska-Pyzalska
- C. Cattaneo
- Thomas Bauwens
- David Popp
- Jonathan E. Hughes
- Jennifer Tour Chayes
- Yoshua Bengio
In Strategy and Management
- Anna Kowalska-Pyzalska
- C. Cattaneo
- Thomas Bauwens
- David Popp
- Jonathan E. Hughes
- Anna Bergek
- R. Wiser
- Varun Rai
Citations in the corpus
- How Hope and Doubt Affect Climate Change Mobilization (2019, background): “Such “peer effects” have been documented through the diffusion of solar photovoltaic panels in communities, for example, where the adoption of the new technology by homeowners in the area increases the probability of additional installations (Bollinger and Gillingham, 2012).”
- Who invests in renewable electricity production? Empirical evidence and suggestions for further research (2013, background): “…between investors and non-investors in renewable energy show that access to financial resources as well as personal characteristics, such as age, sex and risk propensity, influence people’s willingness to invest (Aguilar and Cai, 2010; Bollinger and Gillingham, 2012; Drury et al., 2012).”
- Job losses and political acceptability of climate policies: why the ‘job-killing’ argument is so persistent and how to overturn it (2018, background): “Recent research has shown that imitation effects, namely the natural human propensity to replicate the behaviour of friends and neighbourhoods, increased the political acceptability of both feed-in tariffs and solar rooftop PV panels in Germany and California (Bollinger & Gillingham, 2012; Comin & R”
- What makes consumers adopt to innovative energy services in the energy market? A review of incentives and barriers (2016, background): “It induces that consumers play a crucial role in the innovation adoption process [5, 8-10].”
- How social norms are often a barrier to addressing climate change but can be part of the solution (2020, methodology): “…et al., 2007; Allcott, 2011; Brent et al., 2015; for a review, see Abrahamse & Steg, 2013), adopting sustainable technologies such as solar panels (Bollinger & Gillingham, 2012) and electric vehicles (Barth et al., 2016), reducing littering (Cialdini et al., 1990; Keizer et al., 2008) and…”
- Distributed solar and environmental justice: Exploring the demographic and socio-economic trends of residential PV adoption in California (2019, background): “In recent years, econometric, agent-based, regression and other models have identified key demographic, socioeconomic, and behavioral variables that influence domestic PV diffusion, including income, education, age, ethnicity, family size, owner occupancy, peer effects, and of course, access to fina”
- Diffusion of environmentally-friendly energy technologies: buy versus lease differences in residential PV markets (2013, positive): “…of more efficient and environmentally-friendly consumption and generation devices (Taylor 2008), the nature of the individual’s decision-making process has come to sharper focus (Allcott and Mullainathan 2010, Dietz 2010, Drury et al 2011, Jager 2006, Keirstead 2007, Bollinger and Gillingham 2012).”
- The dynamics of behavior change: Evidence from energy conservation (2016, background): “While the research so far has emphasized macro effects on the diffusion of greener technologies (Bollinger and Gillingham, 2012; Rubin et al., 2004), our research demonstrates the advantages of a more micro and dynamic approach to understanding consumer responses to innovation and…”
- An analysis of residential PV system price differences between the United States and Germany (2013, background): “Peer effects in the diffusion of PV (Bollinger and Gillingham, 2012), therefore, further explain the relatively low customer acquisition costs in the more mature German market; about 1 of 32 German households owned PV systems in the first quarter of 2013 compared with 1 of 83 California households a”