Where India should prioritize import substitution, export growth, and trade relationships
The prescriptive companion to the data-analysis repo: turns the import/export chapter rankings, country-concentration findings, and PLI-coverage checks already built there into an explicit, tiered set of sector and policy recommendations — cross-checked against NITI Aayog's own Trade Watch Quarterly framework for what a rigorous version of this analysis should also cover.
SOURCES: this repo's own TRADESTAT-derived sector/country/PLI datasets; NITI Aayog Trade Watch Quarterly (Q1 FY2024-25 edition, via user-supplied PDF) and its 8th edition summary (PIB PRID=2277232, 23 Jun 2026); DGCI&S Monthly Bulletin on Foreign Trade Statistics (Mar 2024) and TIA Portal user manual, both user-supplied, for methodology/taxonomy validation. Compiled 2026-07-18.
Import-growth chapters, no PLI
7 of 12
Genuine substitution candidates: HS28, HS39, HS88 (see Tier 1)
Export chapters, PLI mismatch
2 of 12
HS61/62 — scheme targets MMF, not the cotton apparel exporting
HS72+HS73 combined — a demand-side risk PLI doesn't address
Import substitution — priority tiers
Ranked by growth momentum among chapters with no PLI coverage.
Export growth — priority tiers
Where to double down, where to fix scheme mismatches, where a gap is a real opportunity.
Country trade-relationship priorities
A genuine forward risk this repo hadn't flagged before
The EU's Carbon Border Adjustment Mechanism (CBAM) puts $20.7bn of India's steel exports at risk — and Specialty Steel PLI, which scales production, doesn't address it.
NITI Aayog's Trade Watch Quarterly dedicates an entire section to CBAM risk because it targets exactly the emissions-intensive sectors — iron/steel, aluminium, cement, fertilizer, hydrogen, electricity — where India already has strong export chapters. HS72 (iron & steel, $10.3bn export) and HS73 (iron/steel articles, $10.4bn export) sit squarely in CBAM's initial scope. This repo's own PLI analysis found Specialty Steel PLI (₹44,106cr + ₹11,887cr) as one of the best-matched schemes on either side of the ledger — but CBAM is a market-access/carbon-cost risk on the demand side, not a production-capacity gap PLI was designed to close. Decarbonizing production (not just scaling it) is the actual policy lever this risk calls for.
What this analysis doesn't do (and NITI Aayog's does)
NITI Aayog's Trade Watch computes a Revealed Comparative Advantage (RCA) score per commodity — 43 commodities clear RCA>1, representing 40% of global imports and 68.2% of India's export portfolio — and a Trade Intensity Index (TII) per partner country (>1 with 84 countries, 67% of India's exports). Both distinguish "big export chapter" from "chapter where India has genuine competitive advantage," and "large trading partner" from "structurally over-concentrated partner." This repo's own country-priority rankings (China $102.4bn/8 sectors on imports, USA $63.9bn/11 sectors on exports) are directionally the same kind of finding, but computed from this repo's own TRADESTAT pulls rather than the global commodity-share/GDP-weighted data RCA and TII require (UN Comtrade / WTO trade-share series this repo hasn't collected). Flagging this explicitly rather than presenting a home-grown ranking as equivalent rigor.
NITI Aayog also flags that several labour-intensive export sectors have lost global market share since 2015 — natural/cultured pearls, lac/gums/resins, man-made filaments, leather articles. This repo's own 8-year HSN data independently shows HS71 (gems & jewellery) exports down -29.9% — the same chapter, the same direction, found independently through a completely different method (TRADESTAT chapter trend vs. NITI Aayog's market-share analysis). That agreement is a reason to take the decline seriously rather than treat the -29.9% as a one-year blip.
View the official 13-sector HS taxonomy (TIA Portal, Annexure 1) this repo's chapter groupings are checked against
Errata & methodology notes
This is a recommendations/synthesis document, not a new data collection — every ranking here is re-derived from this repo's own sector_country_priority_and_pli_coverage and export_destination_priority_and_pli_coverage datasets.
No RCA or TII is computed here (see "What this analysis doesn't do" above) — this repo's country/sector rankings are dollar-value and PLI-coverage based, not comparative-advantage or GDP-weighted intensity based. Don't treat them as interchangeable with NITI Aayog's own RCA/TII figures.
The user-supplied Trade-Watch.pdf is the Q1 FY2024-25 edition (April-June 2024), not the 8th edition (Q4 FY2025-26) referenced in the PIB press release checked for this analysis — figures from the PDF are one to two years older than this repo's own FY2025-26 claims and were used for structure/methodology, not exact-figure validation.
Fertilisers (HS31) moved from "Tier 1 gap" to "addressed" mid-analysis: the National Investment Policy for Urea-2026 was approved 15 July 2026 — three days before this repo's import-dependency bulletin was first written. Kept here as a worked example of how fast this kind of gap can close once flagged.