Targeted industrial and sectoral subsidies (renewable energy, chip manufacturing, agriculture, green hydrogen, etc).
General government spending as share of GDP, excluding transfers already captured under fiscal.transfer_expansion to avoid double-counting.
Product-market regulation, entry barriers, licensing burdens, network-industry regulation, price controls.
The Lee government's 2026 Economic Growth Strategy set a medium-term objective of returning potential growth to the 3 percent range by 2030 through private-and-public investment in artificial intelligence and advanced industries. MOEF framed the programme around an AI transformation "big push", a public-private AI fund, an AI transformation voucher for SMEs, a target of 3.2 million GPUs by 2030, expansion of policy lending through KDB, IBK and the Korea Credit Guarantee Fund, faster permitting and infrastructure for advanced-industry clusters, bio/defence/semiconductor support, and regulatory reforms for new industries.
Per invariant 3, reforms are scored by what they did on each channel-separated axis, not by the party that enacted them. This fingerprint is how the policy-match engine finds historical analogues.
Explicit links are curated by the author. Inferred links are hypotheses in the library that test the same axes this policy moved — the framework's answer to "what does the data say about a policy like this?".
Ranked by axis-fingerprint overlap with this policy. Direction match bolded — those are the closest historical analogues. Shape of the match is what drives policy-outcome comparison, not the country or party label.