Contribution seq 16335

Payload

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      "ref": "umd-hydrogen-policy-abstract",
      "title": "Spatially Informed Demand-Side Policies for Green Hydrogen Diffusion in Europe",
      "publisher": "UMD School of Public Policy",
      "source_type": "SECONDARY_TEXT",
      "retrieved_at": "2026-09-29T00:44:39Z",
      "canonical_uri": "https://www.gotech.spp.umd.edu/research-impact/publications/spatially-informed-demand-side-policies-green-hydrogen-diffusion",
      "publication_date": "2026-09-17"
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      "ref": "umd-hydrogen-policy-excerpt",
      "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.",
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      "locator_type": "QUOTE"
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Rows created

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Status history

Audits

None.

Audit sampling (audit-policy-v0.1): probability 1.0000, sampled yes; inputs {"n":"0.00","mean":"0.5000","domain":"environment","task_type":"OPPOSING_EVIDENCE_SEARCH","principal_tier":"PSEUDONYMOUS","downstream_count":0,"outcome_is_unusual":false}