2019
DOI: 10.1007/s10018-019-00239-5
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Neighborhood influences on the diffusion of residential photovoltaic systems in Kyoto City, Japan

Abstract: This study investigates the factors influencing the diffusion of residential photovoltaic systems. Factors examined are related to social attributes, such as population structure and living environment within neighborhoods and those close by, together with a neighbor effect revealed as a positive spatial dependency of the diffusion. To examine these factors simultaneously, the study applies a spatial econometric analysis, taking advantage of the availability of cumulative data on installed residential photovol… Show more

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Cited by 31 publications
(23 citation statements)
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“…Several studies look at diffusion and spatial patterns of solar PV systems in the United States (Bollinger and Gillingham 2012; Graziano and Gillingham 2015; O’Shaughnessy, Nemet, and Darghouth 2018). A few recent studies have looked at spatial effects in the solar PV market abroad (Balta-Ozkan, Yildirim, and Connor 2015; Schaffer and Brun 2015; Dharshing 2017; Kosugi, Shimoda, and Tashiro 2019). The recent empirical literature on solar PV adoption is broad, so we limit our review to the most relevant studies.…”
Section: Introductionmentioning
confidence: 99%
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“…Several studies look at diffusion and spatial patterns of solar PV systems in the United States (Bollinger and Gillingham 2012; Graziano and Gillingham 2015; O’Shaughnessy, Nemet, and Darghouth 2018). A few recent studies have looked at spatial effects in the solar PV market abroad (Balta-Ozkan, Yildirim, and Connor 2015; Schaffer and Brun 2015; Dharshing 2017; Kosugi, Shimoda, and Tashiro 2019). The recent empirical literature on solar PV adoption is broad, so we limit our review to the most relevant studies.…”
Section: Introductionmentioning
confidence: 99%
“…The spatial effects with respect to solar PV installations have been investigated in the UK (Balta-Ozkan, Yildirim, and Connor 2015), Germany (Schaffer and Brun 2015; Dharshing 2017), and Japan (Kosugi, Shimoda, and Tashiro 2019). These researchers employ spatial econometric methods.…”
Section: Introductionmentioning
confidence: 99%
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“…Alternatively, Spatial Econometric analysis is able to deal with spatial interdependency of areal attributes and neighbor effects. Kosugi et al [46] applied the spatial econometric framework based on the census-block level in Kyoto City to study the neighborhood effects on the residential PV diffusion. Meanwhile, Dharshing [47] used spatial modeling techniques to determine the impact of regional spillover effects between neighboring counties in Germany and their effect on spatial clustering of PV systems.…”
Section: A Non-abm Approachesmentioning
confidence: 99%
“…Levi, Economy, O'Neil, and Segal, (2010) stressed the significance of government policies on renewable energy development. Kosugi, Shimoda, and Tashiro, (2019) has stressed the key driver of evolution of residential PV adoption as the public economic support measures. Hence for successfulness of any program government support is very important.…”
Section: Introductionmentioning
confidence: 99%