Quarterly Reportage
4,034 incentive-scheme announcements across 39 quarters (2017-01-02 → 2026-08-04), each mapped to its scheme and owning ministry from the Press Information Bureau register. Every line links to the original release by PRID. Filter by quarter, scheme or ministry; search titles.
This is an index into the register, not a reading of it. Mapping is by keyword against release titles, so it will miss a scheme referred to obliquely and it cannot tell an approval from a progress report — a Parliament answer about PM E-DRIVE and the Cabinet decision creating it look alike here. Use it to find the release, then read the release. 151 of these rows are Cabinet or CCEA items.
Method. Source: the PIB release register (123,169 releases, 2017→today),
refreshed daily. A release qualifies as an announcement here if its title matches the
scheme-keyword map, or if it is a Cabinet/CCEA approval carrying incentive language.
Quarters are calendar quarters, so 2026Q3 is Jul–Sep 2026. Generated 2026-08-04 by
scripts/build_reportage.py in
digital-twin-for-ipa,
where the fuller ministry-wise and state-wise views also live.
Companion view. For the last 30 days only — central releases plus the state-government wire, which this page does not carry — see Reportage: Latest Updates. That page is the running feed; this one is the archive.
Known limits, stated rather than hidden. Acronyms collide, and the map used to fall for them: IIT (ISM) Dhanbad is a mining school and was being read as the India Semiconductor Mission; Sanchar, Paryatan, Nyaya and Monument Mitra are unrelated to PM MITRA textile parks; “AIF” in a Competition Commission order is an Alternative Investment Fund, not the Agriculture Infrastructure Fund; and Krishi Unnati Mela is not UNNATI 2024. Thirty-two such rows were removed on 2026-08-04 by an explicit veto list. Others may remain — a row whose title has nothing to do with its chip is a mapping error, not a policy fact.
This page was built with AI assistance from the public PIB release register linked above. AI-generated text can misstate figures even when working from real source material — verify any number that matters to a decision against the cited primary source.
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