Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/283420 
Year of Publication: 
2023
Series/Report no.: 
HEMF Working Paper No. 06/2023
Publisher: 
University of Duisburg-Essen, House of Energy Markets & Finance (HEMF), Essen
Abstract: 
The existence of spatial patterns in the adoption of small-scale solar photovoltaic (PV) systems is widely accepted in the academic literature. The diffusion of these systems depends on decisions of heterogenous units, often households, that form their decision based on unit characteristics and attitudes, the built environment, economic and physical factors, as well as peer effects. When including several of these factors, many studies use macro-level datasets, which have a limited ability to capture 'real' small-scale spatial patterns. Using data on a 1 km grid level for Germany, we identify spatial patterns of adoption while also controlling for highly localized explanatory variables. Spatial dependence is estimated and tested with spatial econometric models. Using this set of small-scale data, we show that spatial clustering affects the adoption of residential PV systems, which is increasing with larger neighborhood sizes. Further, the presence of large-scale PV installations has strong direct and also indirect, i.e., spillover effects on the adoption of rooftop PV installations. Finally, spillover effects from defined neighborhoods are found to become statistically insignificant with larger distances, promoting the use of such small-scale data.
Subjects: 
Solar PV adoption
Spatial econometrics
Adoption behavior
Energy transition
JEL: 
C31
Q28
Q55
R12
Document Type: 
Working Paper

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