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supply chain intelligence
What does USA import to make what it exports, and who controls those inputs?
For HS Section XVI (machinery and electrical equipment), we combine OECD TiVA's foreign value-added share of gross exports (Koopman, Wang & Wei 2014; Johnson & Noguera 2012) with CEPII BACI bilateral import flows to size backward linkages and the concentration of foreign input suppliers. This is the backward-GVC view that Baldwin (2016, The Great Convergence) argued replaced traditional comparative-advantage analysis: a country's competitiveness in a sector is as much about who it buys from as what it sells.
countryUSA
sectionXVI
HS2 covered84, 85
TiVA year2020
BACI year2024
sector imports 2024$1.01T
How import-reliant is the export basket
The foreign value-added (FVA) share of gross exports is the share of every dollar of sector exports that originally came from imported inputs, traced through the full input-output matrix. Koopman, Wang & Wei (AER, 2014) formalised the decomposition; Johnson & Noguera (JIE, 2012) earlier showed that the gap between gross exports and value-added exports grew 10-15 percentage points across advanced economies between 1970 and 2009. We compare USAagainst income peers with GNI per capita PPP within ±30% of its latest reading (World Bank WDI, indicator NY.GNP.PCAP.PP.CD), using OECD TiVA EXGR_FVA (MAINSH release, % of gross exports) for 2020.
Figure 1
Foreign value-added share of gross exports, USA vs income peers, HS Section XVI, 2020
USA's FVA share averages 10.5% of gross exports across the ISIC divisions this section maps to (ISIC C26, C27, C28). The income-peer median is 30.7% across 22 peer economies. A gap above the peer median means the country runs a heavier backward linkage into foreign suppliers than is typical at its income level; a gap below means it runs a more closed production system.
Source: OECD TiVA 2023 release, measure EXGR_FVA (foreign value-added share of gross exports, % of gross exports, MAINSH dataset), 2020. Peer set: GNI per capita PPP within ±30% of USA, World Bank WDI indicator NY.GNP.PCAP.PP.CD. HS section → ISIC Rev.4 crosswalk via UN Statistics Division HS-to-ISIC correspondence tables. Authors calcs.
Who supplies USA's input basket
Decomposition of USA's gross imports in HS Section XVI by source country in 2024. True foreign value-added by partner requires a bilateral input-output table with partner-resolved flows, which the OECD 2023 TiVA release does not publish at the country × partner × ISIC level we'd need here (partner dimension is collapsed to World in the EXGR_FVA series we load). The gross-import ranking below is the best proxy the BACI bilateral archive permits and is what the Hausmann-Klinger (2007, 'The Structure of the Product Space', CID WP 146) literature uses for dependency mapping in the absence of firm-level I-O tracing.
Figure 2
Top foreign input suppliers to USA, HS Section XVI, 2024
Dependency concentration, by HS2 chapter
Within HS Section XVI, each two-digit chapter has its own supplier HHI on the 0-10,000 DOJ scale (Hirschman 1945; Herfindahl 1950; US DOJ/FTC 2023, Horizontal Merger Guidelines §2). Chapters above the 2,500red-zone threshold are markets where one or two exporters hold pricing power; for a CPO, these are the sub-sectors where second-source qualification is the mandate. Arjona, Connell & Pisu (2023, OECD ECO/WKP 1775) show that above this threshold the probability of a single-origin disruption passing through to the importer's output price jumps sharply.
Figure 3
Supplier concentration HHI by HS2 chapter, HS Section XVI, 2024
0 of the 2 chapters in this section sit above the DOJ 2,500 red-zone threshold; 0 are in the moderately-concentrated band (1,500-2,500). The chapter with the highest HHI is HS 85, with a top exporter of CHN at 30.9% of world exports.
Source: CEPII BACI 202501 (retrieved 2026-04-28), HHI computed over exporter shares of world exports per HS2 chapter, 2024. Methodology: HHI = 10,000 × Σ s_i². Reference thresholds from US DOJ/FTC (2023) Horizontal Merger Guidelines §2. Authors calcs.
Single-supplier exposure: where one origin dominates the input
For each HS2 chapter in the section, the estimated share of USA's imports coming from its single largest bilateral supplier. Chapters above the 40% single-source threshold (Arjona, Connell & Pisu 2023, OECD ECO/WKP 1775) are where a procurement board should be asked the qualification-of-second-source question. Note the construction caveat: bilateral HS-level attribution uses each exporter's share of world exports in the chapter to apportion USA's total imports from that partner, because the BACI bilateral × HS6 raw archive is not part of this build. The proxy converges to the true bilateral only where partner composition at HS6 is roughly proportional to world composition; published comparisons (CEPII BACI 2024 methodology note) suggest this is an acceptable first pass at HS2 granularity.
Figure 4
USA single-supplier exposure by HS2 chapter, HS Section XVI, 2024
HS2
Chapter
USA imports 2024
Top supplier
Est. share
Flag
85
Electric generators: photovoltaic DC generators, of an output no
$480.1B
CHN China
66.7%
single-source risk
84
Gas-tight biological safety cabinets: whether or not fitted with
$526.3B
CHN China
56.9%
single-source risk
2 of 2 chapters have an estimated top-supplier share above 40%. Read the table as: for chapter HS85, about 67% of USA's imports come from CHN. Rows are sorted by top-supplier share descending; empty cells indicate USA has no recorded imports in that chapter in 2024.
Source: CEPII BACI 202501 (retrieved 2026-04-28), country_year_product for chapter-level import totals and bilateral_year for partner totals, 2024. Attribution uses exporter shares of world HS2 exports to apportion bilateral partner totals to chapters (proxy; strict HS6 × partner matrix not available in this build). 40% single-source threshold from Arjona, Connell & Pisu (2023) OECD ECO/WKP 1775. Authors calcs.
How far upstream does world trade run? A BEC-stage decomposition
A backward linkage is only a concern if the input flows through many production steps before reaching final demand. Antràs & Chor (2013, Econometrica81:4) formalise upstreamness as the weighted average steps-to-final-demand implied by the Leontief inverse of the input-output matrix. A coarser but internationally comparable cut is the UN Broad Economic Categories (BEC) mapping of every HS6 line to one of five stages: primary, semi-finished, parts & components, capital goods, consumption goods. Leontief (1941, Structure of the American Economy) introduced the input-output accounting behind both measures; WIOD and OECD TiVA extend it with global bilateral coverage. Baqaee & Farhi (2019, Econometrica 87:4) show that shocks propagate super-linearly through the upstream layers, which is why the stage mix matters for procurement stress tests.
Figure 5
World trade composition by BEC production stage, 2000-latest (share of total)
Section-level BEC-stage decomposition requires an HS6 → BEC mapping not present in this workbench, so we read chapter-level upstreamness off the observed Baldwin (2013, Global Supply Chains: Why They Emerged) second-unbundling trace: chapters pulled deeper into cross-border production fragmentation grew world exports faster than chapters whose trade just tracked commodity prices or final-demand income. For HS Section XVI, we plot each HS2 chapter's compound multiple of world-export value between 2000 and 2024. The intermediate share of world trade (primary + semi-finished + parts) itself rose from 59% in 2000 to 61% in 2023 (Figure 5), so a chapter with a multiple clearly above the section median is likely sitting in the intermediate-stage pull.
The steepest-growing chapter in Section XVI multiplied world exports 3.5x between 2000 and 2024; the slowest grew 2.8x. Red bars mark chapters with a ≥ 5x growth multiple, a rough operational threshold that Baldwin (2013) associates with second-unbundling-dominated chapters. Blue bars mark chapters whose trade growth tracked world GDP (approximately 3x over this window), typically primary or consumption-stage chapters. Pair this with Figures 3 and 4: a high-growth chapter that is also concentrated (HHI > 2,500) or single-sourced is where unbundling created a structural dependence that did not exist in 2000.
Source: CEPII BACI 202501 (retrieved 2026-04-28) (HS92), world export value per HS2 chapter in 2000 and 2024; growth = v(2024) / v(2000). Intermediate-share benchmark: UN COMTRADE WITS BEC stage classifications (global_trade_by_stage.parquet) for world-level 2000 and 2023. Literature: Baldwin (2013) "Global Supply Chains: Why They Emerged, Why They Matter" in Elms & Low (eds.); Johnson & Noguera (2012) JIE 86:2. Authors calcs.
Global single-source HS6 lines: where one country controls > 70% of world exports
The within-section HS2 exposure in Figure 4 is one face of dependence; the other face is the HS6 line where a single country controls most of world trade everywhere, not just for one importer. Arjona, Connell & Pisu (2023, OECD ECO/WKP 1775) operationalise single-source concentration at CR1> 50%; Chowdhry & Felbermayr (2023) set a stricter 70% cut to isolate the lines where second-source qualification is effectively impossible within a 2-3 year horizon. We apply the stricter cut to every HS6 line in BACI 2024 with world exports above US$50M and rank the top 20 by trade value. These are the lines where the EU CRMA's 65% single-origin ceiling (Regulation (EU) 2024/1252 Art. 5) would bite hardest if extended from strategic raw materials to the full HS6 catalogue.
Figure 7
Top 20 HS6 lines with a single exporter commanding > 70% of world exports, 2024
Demand-side concentration: HS6 lines where one buyer commands > 50% of world imports
Figure 7 reads the supply side. The mirror of that is the demand side: HS6 lines where a single country buys more than half of world imports. Chowdhry & Felbermayr (2023, Trade in Times of Uncertainty, Kiel Working Paper) define strategic dependence symmetrically: concentration on either side of the ledger is a fragility because the losing side cannot reallocate within a commercially relevant horizon. A single dominant buyer is also the leverage channel of record for import-side policy tools, the US Section 301 tariffs, the EU Carbon Border Adjustment Mechanism (Regulation (EU) 2023/956), and China's 2023 MOFCOM critical-mineral buying quotas all operate through the top-1-importer role.
Figure 8
Top 20 HS6 lines with a single importer commanding > 50% of world imports, 2024
The income-FVA 'smile': where USA sits in the cross-section
Figure 1 ranks USA against narrow income peers; Figure 9 steps back and plots every TIVA-covered economy at (log GNI per capita PPP, FVA share). The expected shape is an inverted U: low-income economies trade primary goods (low FVA); middle-income economies specialise in assembly stages of global value chains (high FVA); advanced economies move into services and intangible content (FVA falls back). Baldwin (2016, The Great Convergence, ch. 5) and Johnson & Noguera (2012, JIE 86:2) document this for the manufacturing-trade FVA series. USA's position relative to the cross-sectional fit is the cleanest single test of whether the country is over-integrated, under-integrated, or on-trend in HS Section XVI for its income level.
Figure 9
Foreign value-added share of gross exports vs GNI per capita PPP, all TIVA-covered economies, HS Section XVI, 2020
How procurement teams use this
Backward-linkage budget. Figure 1 sizes the sector's FVA share and locates it against income peers. A reading materially above the peer median means the sector will not survive an import shock without a landed-cost spike.
Second-source qualification queue. Figure 3 flags chapters above HHI 2,500 and Figure 4 flags chapters above 40% single-supplier share. These are the audit lines for a supply-chain review; each should be paired with a named alternate buyer.
CBAM, sanctions and export-control scenarios. Figures 2 and 4 together let you re-run the country's input basket under a named-origin exclusion (for instance, remove China or Russia from the supplier mix) and read the share of imports that would need to be reallocated.
Policy read: IRA, CHIPS, CRMA, dual circulation
These four figures assemble the sourcing-dependency case that the latest wave of industrial policy is explicitly responding to. The US Inflation Reduction Act (H.R. 5376, 16 Aug 2022) Section 45X advanced-manufacturing credit and domestic-content bonus codify a preference for FVA moving toward North America and free-trade partners; the CHIPS and Science Act(P.L. 117-167) adds foreign-entity-of-concern rules to deny the credit when a targeted input chapter is >40% from a concern entity. The EU Critical Raw Materials Act (Regulation (EU) 2024/1252, adopted 11 April 2024) directly targets Figure 4's red zone with a 65% ceiling on any single third-country origin for strategic raw materials. China's dual-circulation strategy (14th Five-Year Plan, 2021) and the parallel '2+N' import-substitution guidance work the same dependency matrix from the opposite direction, aiming to cap inward FVA share in strategic ISIC divisions. Used as a triptych, Figures 1 + 4 + 5 tell you whether a given sector in a given country is a candidate for any of these instruments.
References
Antràs, P., & Chor, D. (2013). 'Organizing the Global Value Chain.' Econometrica 81(6): 2127-2204.
Arjona, R., Connell, W., & Pisu, M. (2023). 'An analysis of international trade interdependencies.' OECD Economics Department Working Paper ECO/WKP 1775.
Baldwin, R. (2016). The Great Convergence: Information Technology and the New Globalization. Harvard University Press.
Hausmann, R., & Klinger, B. (2007). 'The Structure of the Product Space and the Evolution of Comparative Advantage.' CID Working Paper 146, Harvard University.
Herfindahl, O. C. (1950). Concentration in the U.S. Steel Industry. PhD thesis, Columbia University.
Hirschman, A. O. (1945). National Power and the Structure of Foreign Trade. University of California Press.
Baldwin, R. (2013). 'Global Supply Chains: Why They Emerged, Why They Matter, and Where They Are Going.' In Elms & Low (eds.) Global Value Chains in a Changing World. WTO / Fung Global Institute.
Baqaee, D., & Farhi, E. (2019). 'The Macroeconomic Impact of Microeconomic Shocks: Beyond Hulten's Theorem.' Econometrica 87(4): 1155-1203.
Johnson, R. C., & Noguera, G. (2012). 'Accounting for Intermediates: Production Sharing and Trade in Value Added.' Journal of International Economics 86(2): 224-236.
Leontief, W. (1941). The Structure of the American Economy, 1919-1929. Harvard University Press.
Koopman, R., Wang, Z., & Wei, S.-J. (2014). 'Tracing Value-Added and Double Counting in Gross Exports.' American Economic Review 104(2): 459-494.
OECD (2023). Trade in Value Added (TiVA) Indicators: Release Notes, December 2023. OECD Directorate for Science, Technology and Innovation.
US Department of Justice & Federal Trade Commission (2023). Horizontal Merger Guidelines.
China is the largest external supplier at 27.3% of the world's export supply in this HS section. The top-5 external suppliers together account for about 51%of world supply in this section. Shares here are origin-of-export, which systematically understates final-country content for products assembled in entrepôt economies; Koopman, Wang & Wei (2014) show that gross-export shares can overstate a country's value contribution by 20-40% in electronics.
Source: CEPII BACI 202501 (retrieved 2026-04-28) bilateral import flows for USA × HS Section XVI, 2024. Values in current USD (BACI stores thousands USD, multiplied by 1,000 for display). Shares on world export totals in this HS section. Authors calcs.
The upstream bucket (primary + semi-finished + parts & components) accounts for 61% of world trade in 2023. Semi-finished goods dominate in dollar terms, reflecting the Baldwin (2013) 'second unbundling': production tasks, not final goods, are what crosses borders. Consumption and capital goods together are the minority of world trade, because the intermediate-to-final ratio grew sharply after 1990 as GVCs extended. Relevance here: a high intermediate share means the typical HS Section XVI import line is itself an input somewhere else, so the HHI / single-supplier flags from Figures 3 and 4 propagate further downstream than the chapter boundary suggests.
Source: UN COMTRADE WITS BEC stage classifications mapped to HS6, aggregated to world totals by year. Methods: Antràs & Chor (2013, Econometrica 81:4) upstreamness index; Leontief (1941); Baldwin (2013) 'Global supply chains: Why they emerged, why they matter,' in Elms & Low (eds) Global Value Chains in a Changing World (WTO/FGI); Baqaee & Farhi (2019) 'The Macroeconomic Impact of Microeconomic Shocks,' Econometrica 87:4.
20 HS6 lines meet both the 70% single-exporter cut and the US$50M world-trade floor. The largest by trade value is HS 170111 (Sugars: cane sugar, raw, in solid form, not containing added) with BRA at 73% of US$ 23.1B in 2024 world exports. Red bars mark lines where the top exporter commands more than 90 per cent of world exports; these are the near-monopoly lines where a single export-control notice moves world prices in days, not quarters (China MOFCOM gallium/germanium controls, August 2023, are the canonical recent case).
Source: CEPII BACI 202501 (retrieved 2026-04-28) HS92, world HS6 export shares in 2024. Filter: top-1 exporter share > 70% AND world exports > US$50,000 thousand (filter on BACI's thousands-USD scale). Literature: Chowdhry & Felbermayr (2023) 'Trade in Times of Uncertainty', Kiel Working Paper; Arjona, Connell & Pisu (2023) OECD ECO/WKP 1775. Policy benchmark: EU Critical Raw Materials Act Art. 5 (Regulation (EU) 2024/1252, 11 April 2024) 65% single-third-country cap for strategic raw materials; this figure extends the same framing to the full HS6 catalogue.
20 HS6 lines meet both the 50% single-importer cut and the US$50M world-trade floor. The largest by trade value is HS 260111 (Iron ores and concentrates: non-agglomerated) with CHN absorbing 76% of US$ 150.2B in 2024 world imports. Red bars mark lines where a single buyer takes more than 75 per cent of world imports; in those markets, exporters have no meaningful substitute demand if the buyer exits or imposes a tariff. Large industrial commodity buyers (China for iron ore, nickel ores, copper concentrates; the US for crude oil and refined petroleum at the HS6 level) dominate the top of the ranking, paired with niche lines where a single refining economy absorbs most of world supply.
Source: CEPII BACI 202501 (retrieved 2026-04-28) HS92, world HS6 import shares in 2024. Filter: top-1 importer share > 50% AND world imports > US$50,000 thousand (on BACI's thousands-USD scale). Literature: Chowdhry & Felbermayr (2023) 'Trade in Times of Uncertainty', Kiel Working Paper; Arjona, Connell & Pisu (2023) OECD ECO/WKP 1775. Policy context: US Section 301 (19 U.S.C. § 2411), EU CBAM Regulation (EU) 2023/956 (17 May 2023).
The scatter covers 75 economies with both a TIVA EXGR_FVA reading in the ISIC divisions that cover Section XVI (C26, C27, C28) for 2020 and a recent WDI GNI per capita PPP reading. USA sits at GNI per capita PPP $86.0k with FVA share 10.5%. The cross-section is monotone-rising up to roughly US$30k GNI per capita PPP and bends back beyond that, consistent with the Baldwin (2016) inverted-U. Economies above the local fit are integration-intensive in this section; those below run more closed production systems for their income level.
Source: OECD TiVA 2023 release, EXGR_FVA (% of gross exports, MAINSH), 2020, averaged across ISIC Rev.4 activities C26, C27, C28; World Bank WDI NY.GNP.PCAP.PP.CD, latest non-null per country. HS section → ISIC Rev.4 crosswalk via UN Statistics Division HS-to-ISIC correspondence tables. Inverted-U literature: Baldwin (2016) The Great Convergence ch. 5; Johnson & Noguera (2012) JIE 86:2. Authors calcs.