Author
Abstract
This paper examines the relationship between land ownership concentration and the likelihood of hosting large green energy facilities, specifically mega-photovoltaic (PV) plants, defined as those exceeding 50 hectares. Focusing on Spain, we find that municipalities with a higher proportion of agricultural land concentrated in large farms are significantly more likely to accommodate mega PV plants. This effect remains robust after accounting for key factors influencing PV deployment, including terrain ruggedness, solar potential, and proximity to transmission lines and urban centers. To further neutralize unobserved factors that jointly influence land concentration and PV plant location, we leverage cadastral (parcel) data to conduct an intra-municipal analysis at the 0.5×0.5 km grid-cell level. Our findings reveal that grid cells with larger cadastral parcels have a substantially higher probability of being part of a mega PV facility. A simple theoretical model explains this pattern by highlighting the coordination challenges faced by small landowners. Unlike large ones, fragmented landholders struggle to meet developers’ land requirements, which are necessary to cover fixed project costs. Consistent with this mechanism, we also show that areas with irrigated agriculture are less likely to host mega PV plants and exhibit more unequal distributions of plant locations by land size. Finally, we provide external validity by confirming a similar positive association between mega PV plants and land concentration across U.S. counties. These findings underscore the implications of land inequality for the spatial distribution of renewable energy projects, shedding light on the limited local benefits of such investments and the growing opposition from rural communities.
Suggested Citation
Oto-Peralías, Daniel & Cuberes, David & Lacuesta, Aitor & Moreno, Carlos, 2025.
"Land concentration and large renewable energy projects,"
OSF Preprints
hakt5_v2, Center for Open Science.
Handle:
RePEc:osf:osfxxx:hakt5_v2
DOI: 10.31219/osf.io/hakt5_v2
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