Spatial patterns of solar photovoltaic system adoption: The influence of neighbors and the built environment

Graziano, Marcello; Gillingham, Kenneth

doi:10.1093/jeg/lbu036

Cited by 381 publications

(245 citation statements)

References 22 publications

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“…Bollinger and Gillingham (2012) finds strong support for causal peer effects to adoption, with additional installations increasing the probability of subsequent adoptions in each neighbourhood. They suggest that the panels' visibility and "word of mouth" are the key routes through which peer effects propagate, a result also confirmed by Graziano and Gillingham (2014), who also find that these effects diminish with distance.…”

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confidence: 61%

“…These have explored the scale of "peer" effects -i.e. a link between adoption and subsequent adoption within the same neighbourhood -in the US (Bollinger and Gillingham, 2012;Graziano and Gillingham, 2014) and UK (Richter, 2013). These studies however share a limitation in examining uptake within existing neighbourhoods, and ignore spillovers between neighbourhoods (Richter, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…Using a similar approach to the US studies (Bollinger and Gillingham, 2012;Graziano and Gillingham, 2014) this paper finds that one more solar PV installation in a postcode district increases the number of new adoptions by 0.0005. Although small, this argues -as does both Bollinger and Gillingham (2012) and Graziano and Gillingham (2014) do -that social effects working at the local level could be useful in promoting further adoption.…”

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confidence: 97%

“…Bollinger and Gillingham (2012) examine the uptake of PV in California and explore the scale of "peer effects". Likewise, Graziano and Gillingham (2014) consider the case of Connecticut. These studies use econometric panel data techniques and exploit local databases of PV uptake, including dates on installation and adoption, to explore the timing of investments in solar devices.…”

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confidence: 99%

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Green in the heart or greens in the wallet? The spatial uptake of small-scale renewable technologies

Allan

McIntyre

2017

Energy Policy

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The introduction of a Feed-in-Tariff (FIT) support mechanism has spurred development of small-scale domestic renewable electricity generation throughout Great Britain (GB), however the spatial pattern of uptake has been been uneven, suggesting that local, as well as between neighbourhood factors may be at important. As well as confirming that local socio-economic factors, including wealth, housing type and population density are found to be important in explaining uptake of this policy, local "green" attitudes -measured in three different ways -are shown not to be important. Existing local technical expertise, proxied for using data on smallscale renewable electricity devices in each area prior to the introduction of FIT, is an important factor in explaining subsequent adoption. Critically, we also find that there are spatial (i.e. between neighbourhood) processes explaining the uptake of these technologies. Taken together, our results suggest that, as currently designed, FIT policy may be regressive in income and could exacerbate spatial economic inequalities.

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confidence: 61%

Section: Introductionmentioning

confidence: 99%

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confidence: 97%

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confidence: 99%

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Green in the heart or greens in the wallet? The spatial uptake of small-scale renewable technologies

Allan

McIntyre

2017

Energy Policy

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“…Recent work has explored the role of peer effects in the adaptation of solar panels by residents [34], which also considers individual preferences as social factors. Through previous studies, we investigated the fact that older people in China were less concerned about the energy crisis than younger people.…”

Section: Social Variablesmentioning

confidence: 99%

The Influence of Local Environmental, Economic and Social Variables on the Spatial Distribution of Photovoltaic Applications across China’s Urban Areas

2018

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Abstract:The capacity of new installed photovoltaic (PV) in China in 2017 was increased to 53.06 GW, reaching a total of 402.5 GW around the world. Photovoltaic applications have a significant role in the reduction of greenhouse gas emissions and alleviating electricity shortages in the sustainable development process of cities. Research on the factors that influenced the spatial distribution of photovoltaic applications mostly focus on a certain project or a region. However, it is a complicated process for decision-making of photovoltaic installations in urban areas. This study uses zip code level data from 83 cities to investigate the influence of local environmental, economic and social variables on the spatial distribution of photovoltaic applications across China's urban areas. By analyzing the current situation, the locations of urban photovoltaic applications are collected and presented. Statistical analysis software is used to evaluate the influence of selected variables. In this paper, correlation analysis, principle component analysis (PCA) and cluster analysis are generated to predict urban photovoltaic installations. The results of this research show that Gross Domestic Product (GDP), electricity consumption, policy incentives, the number of photovoltaic companies, population, age, education and rate of urbanization were important factors that influenced the adoption of urban photovoltaic systems. The results also indicate that Southeast China and Hangzhou Province are currently the most promising areas as they have a higher rate of solar photovoltaic installation. These conclusions have significancefor energy policy and planning strategies by predicting the future development of urban photovoltaic applications.

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Social science perspectives on drivers of and responses to global climate change

Jorgenson

Fiske

Hubacek

et al. 2018

WIREs Climate Change

109

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This article provides a review of recent anthropological, archeological, geographical, and sociological research on anthropogenic drivers of climate change, with a particular focus on drivers of carbon emissions, mitigation and adaptation. The four disciplines emphasize cultural, economic, geographic, historical, political, and social‐structural factors to be important drivers of and responses to climate change. Each of these disciplines has unique perspectives and makes noteworthy contributions to our shared understanding of anthropogenic drivers, but they also complement one another and contribute to integrated, multidisciplinary frameworks. The article begins with discussions of research on temporal dimensions of human drivers of carbon emissions, highlighting interactions between long‐term and near‐term drivers. Next, descriptions of the disciplines' contributions to the understanding of mitigation and adaptation are provided. It concludes with a summary of key lessons offered by the four disciplines as well as suggestions for future research.This article is categorized under: Climate Economics > Economics and Climate Change

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Spatial patterns of solar photovoltaic system adoption: The influence of neighbors and the built environment

Cited by 381 publications

References 22 publications

Green in the heart or greens in the wallet? The spatial uptake of small-scale renewable technologies

Green in the heart or greens in the wallet? The spatial uptake of small-scale renewable technologies

The Influence of Local Environmental, Economic and Social Variables on the Spatial Distribution of Photovoltaic Applications across China’s Urban Areas

Social science perspectives on drivers of and responses to global climate change

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