A trade-based intelligence platform mapping the value chains of clean technologies worldwide — from raw material extraction to final product deployment. Phase II data platform, 2025–2026.
Value chain stages: Extraction → Processing → Manufacturing → Final Product · Roles: Raw Material · Processed Material · Product Component · Final Product · Process Equipment
Trade network, value chain timeline (2003–2024), and country competitiveness scatterplot for India's solar sector. Dendrite navigator showing value chain position per product.
Bilateral trade network for Chile's strategic raw materials position across clean tech value chains.
Predicted Competitiveness scores vs trade exposure for all 10 technologies and 155 countries. SHAP-weighted feature importance overlay.
Phase II methodology documentation: pipeline architecture, data coverage, bilateral trade datasets, dendrite galleries, Sankey flows, and case study previews.
Technical documentation of the Random Forest + SHAP competitiveness model: feature engineering, model architecture, validation, and key findings.
Detailed breakdown of the trade-derived features used in the competitiveness model, with SHAP importance rankings by technology.
Interactive 3-tab panels per country × clean technology: bilateral trade network, value chain timeline (2003–2024), and country competitiveness scatterplot. Nuclear panels use 2021 data (most recent available).
Comprehensive trade diagnostics: value chain position, bilateral flows, competitiveness benchmarking, ORBIS firms, and policy recommendations.
AI digest of key findings: KPI cards, structural position, bottlenecks, and upgrading pathways.
800-word policy brief: structural position, bottlenecks, upgrade pathways, and strategic interpretation.
Trade diagnostics for Chile's upstream raw material position across all clean technology value chains.
KPI summary and six-section AI digest of Chile's critical mineral export position and policy options.
Interactive tree visualisations of the full HS code hierarchy for each clean technology — from raw materials upstream to final products, with value chain stage and role annotations.
UNCTAD-style Sankey flow diagrams tracing trade volume through each stage of the value chain (2022 data). Material-specific sankeys for critical minerals are also available.
Harmonised bilateral trade flows at HS 6-digit level. Backbone of all trade analytics and value chain mapping.
Expert-curated mapping of HS codes to clean tech × value-chain stage × product role. Enables precise value chain filtering.
Cross-revision HS code concordance enabling consistent time series across HS92→HS96→HS02→HS07→HS12→HS17→HS22.
Firm-level location and NACE code data for clean tech manufacturers, linked to Green Dictionary via NACE→HS concordance.
Random Forest–derived competitiveness scores with SHAP feature importance. Identifies which trade patterns predict future industrial leadership.
GDP (current USD) and population series for normalising trade exposure (exports % GDP). Used across all scatter and ranking visualisations.