From Expansion to Consolidation: Socio-Spatial Contagion Dynamics in Off-Grid PV Adoption
Roni Blushtein-Livnon, Tal Svoray, Itay Fischhendler, Havatzelet Yahel, Emir Galilee

TL;DR
This study investigates socio-spatial contagion in off-grid PV adoption, revealing that clustering and consolidation dynamics significantly influence adoption rates and diffusion patterns over time.
Contribution
It introduces a data-driven method using deep learning and remote sensing to empirically analyze socio-spatial contagion in off-grid PV adoption.
Findings
SSC is widespread and varies in intensity across communities.
SSC peaks within 1-2 years of new installations, then weakens.
Early diffusion involves range expansion, later stages show range contraction.
Abstract
In traditional rural societies, where social ties are embedded in physical space, the diffusion of emerging technologies may be amplified through socio-spatial contagion (SSC). Such processes may play a key role in accelerating residential PV adoption in off-grid regions. Yet empirical evidence on SSC in PV adoption remains largely limited to affluent, grid-connected settings, while off-grid regions often lack systematic installation records. To address these gaps, we use a deep learning segmentation model to extract PV installations from a decade-long series of remote sensing imagery across 507 off-grid settlement clusters (hereafter, communities). This enables data-driven spatio-temporal point pattern inference of SSC in data-scarce contexts. SSC is quantified through the range and intensity of clustering of new installations around prior adopters, and the dynamics of these dimensions…
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