TY - JOUR
T1 - Why neighbors matter in the energy transition
T2 - The diffusion of social practices, technologies, and knowledge between municipalities
AU - La Belle, Michael
AU - Szép, Tekla
AU - Tóth, Geza
N1 - Publisher Copyright:
© 2025 The Authors. Published by Elsevier Ltd.
PY - 2025/6
Y1 - 2025/6
N2 - The energy transition requires new conceptual frames to understand the emergence of new spatial patterns and developing new geographies of energy. This article uses Hungary as a case study to examine the role of spatial dependency for the household energy mix, especially for traditional heating fuels, and the adoption of modern technologies such as heat pumps, solar collectors and panels. Theoretically, the article expands the use of the energy ladder, and understanding of social practices around energy technology diffusion. The Global and Local Moran I are used to test for the spatial autocorrelation, to identify hot and cold spots of different fuels, and for clustering the municipalities. Spatial (LAG) model is developed to determine the main drivers of the low-quality fuel use. The results indicate that beyond socio-economic indicators, spatial location also has a significant impact on household energy use and households with a similar energy mix are spatially concentrated. Municipalities, just as households, occupy different levels of the energy ladder. These findings confirm the need for spatially concentrated and localized energy policies for the just energy transition.
AB - The energy transition requires new conceptual frames to understand the emergence of new spatial patterns and developing new geographies of energy. This article uses Hungary as a case study to examine the role of spatial dependency for the household energy mix, especially for traditional heating fuels, and the adoption of modern technologies such as heat pumps, solar collectors and panels. Theoretically, the article expands the use of the energy ladder, and understanding of social practices around energy technology diffusion. The Global and Local Moran I are used to test for the spatial autocorrelation, to identify hot and cold spots of different fuels, and for clustering the municipalities. Spatial (LAG) model is developed to determine the main drivers of the low-quality fuel use. The results indicate that beyond socio-economic indicators, spatial location also has a significant impact on household energy use and households with a similar energy mix are spatially concentrated. Municipalities, just as households, occupy different levels of the energy ladder. These findings confirm the need for spatially concentrated and localized energy policies for the just energy transition.
KW - Energy ladder
KW - Energy stacking
KW - Household energy mix
KW - Spatial dependence
KW - Technology diffusion
UR - http://www.scopus.com/inward/record.url?scp=105001492355&partnerID=8YFLogxK
U2 - 10.1016/j.rset.2025.100109
DO - 10.1016/j.rset.2025.100109
M3 - Article
AN - SCOPUS:105001492355
SN - 2667-095X
VL - 7
JO - Renewable and Sustainable Energy Transition
JF - Renewable and Sustainable Energy Transition
M1 - 100109
ER -