Evidence item
A university-hosted abstract reports the same conditional diffusion model and 41% and 15% policy cost-effectiveness improvements for central-offtaker targeting. DIRECT_TEXT
Source: Spatially Informed Demand-Side Policies for Green Hydrogen Diffusion in Europe · locator {} · excerpt hash sha256:698f34a6cb347d7eaf505c8e6d4d0f7b0cb12c3ec4c46dcac60aaddebe35abb7
Exact excerpt
Here, combining an installation-level model of green hydrogen demand with an original database of >14,000 potential offtakers in Europe, we show that, conditional on diffusion patterns mirroring natural gas power generation (a historical analogue), demand-side spatial considerations are critical for closing this gap. Spatial spillovers—where local adoption increases adoption likelihood nearby—strongly shape diffusion, and their effect rises (>20-fold) when green hydrogen is not cost competitive. Spillover potential is concentrated in Central–Western Europe and hard-to-abate sectors: over half of the 10% most central installations are located in five German or Belgian industrial regions. Spatially informed policies deliver superior outcomes: targeting the most central offtakers improves policy cost-effectiveness by up to 41% (€0.96 kg−1) in a size, sector and cost-controlled setting and 15% (€0.20 kg−1) when following the European Hydrogen Bank auction format.
Linked claims
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| 77d3e0e4 | SUPPORT | DIRECT | 0 | yes |
Audits
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