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POLICY BRIEF
18-12 Trump
Tariffs Primarily
Hit Multinational
Supply Chains, Harm
US Technology
Competitiveness
Mary E. Lovely and Yang Liang
May 2018
Mary E. Lovely, nonresident senior fellow at the Peterson
Institute for International Economics, is professor of eco-
nomics and Melvin A. Eggers Faculty Scholar at Syracuse
University’s Maxwell School of Citizenship and Public Affairs.
Yang Liang is a PhD candidate in the Economics Department
at Syracuse University and graduate associate at the Moynihan
Institute of Global Affairs.
©	Peterson Institute for International Economics.
	 All rights reserved.
Of the many causes of conflict between the United States
and China, disagreements over the treatment of American
intellectual property may be the most difficult to resolve.
In 2017, the Trump administration formally complained
that China has been receiving and benefiting from flows
of American knowledge it had not properly acquired. The
administration charged further that by various means,
including forced technology transfers between joint venture
partners, reverse engineering, patent violation, and industrial
espionage, China has been and continues to subvert global
trading rules and norms to unfairly acquire American tech-
nology. Such misappropriation, it further alleged, reduces
the return to American innovation, diverts American jobs
to China, and contributes to the bilateral trade imbalance.
To support its contention, in August 2017 the Office of
the US Trade Representative (USTR) launched an inves-
tigation under Section 301 of the Trade Act of 1974 into
“Chinese laws, policies and practices which may be harming
American intellectual property rights, innovation, or tech-
nology development.”1
Seven months after that investigation started, USTR
Robert Lighthizer released a report detailing claims that
China undermines US rights in the technology sector, and
in April 2018 USTR proposed a list of Chinese exports that
could be subject to additional US tariffs of 25 percent.2
The list targets products in sectors that USTR determined
“benefit from China’s industrial plans,” such as Made in
China 2025, including aerospace, information and commu-
nication technology, robotics, and machinery. In an attempt
to minimize the pain for American consumers, USTR
excluded products such as textiles and apparel, footwear,
laptops, and cell phones from the list.3
This Policy Brief argues that while the problems identi-
fied by the USTR report have plagued the bilateral relation-
ship for years, the administration’s tactic of imposing tariffs
in the sectors specified by USTR may prove more harmful
than effective. Rather than hitting the administration’s
intended target—Chinese firms that may have unfairly
obtained American technology—the proposed tariffs would
actually inflict damage on US high-technology sectors.4
We examine the effects of the tariffs through the lens
of Richard Baldwin’s “great unbundling,” focusing on the
importance of knowledge flows and production fragmenta-
1. USTR, “USTR Announces Initiation of Section
301 Investigation of China,” press release,
August 18, 2017, https://ustr.gov/about-us/
policy-offices/press-office/press-releases/2017/august/
ustr-announces-initiation-section.
2. USTR, “Notice of Determination and Request for Public
Comment Concerning Proposed Determination of Action
Pursuant to Section 301: China’s Acts, Policies, and Practices
Related to Technology Transfer, Intellectual Property, and
Innovation,” https://ustr.gov/sites/default/files/files/Press/
Releases/301FRN.pdf.
3. USTR, “Under Section 301 Action, USTR Releases
Proposed Tariff List on Chinese Products,” press
release, April 3, 2018, https://ustr.gov/about-us/
policy-offices/press-office/press-releases/2018/april/
under-section-301-action-ustr.
4. This Policy Brief does not evaluate the Section 301 claims
against China. It aims to explain how the proposed tariffs will
tax trade flows and where the burden of taxation is likely to
fall.
2
PB 18-12	 May 2018
tion to 21st century supply chains.5
The proposed tariffs will
hit bilateral trade in fast-growing, knowledge-based sectors
the hardest. The lion’s share of US imports in these sectors
originates in Chinese-based affiliates of multinational firms,
not Chinese domestic firms.6
Further, the products on the
tariff hit list are largely inputs used in American produc-
tion, even when looking beyond formal affiliates of US
companies, meaning that the proposed Trump taxes would
decrease American competitiveness. The Policy Brief thus
argues that tariffs are an ineffective response to concerns
about China’s high-technology aspirations. Instead, they
disadvantage American producers and harm US allies oper-
ating in East Asia while missing the mark on penalizing
Chinese domestic firms that may have misappropriated US
and other advanced economies’ technologies.
KNOWLEDGE FLOWS, SUPPLY CHAINS, AND
TRADE PATTERNS
Unlike textbook examples of trade, in which goods are
completely made within the borders of one country and
shipped to another, much of what the United States imports
from China contains value created in other locations,
including American intellectual property. These relatively
new arrangements are highlighted by testimony collected
during the Section 301 investigation. Moreover, much of
the actual goods exchanged are capital goods or industrial
parts and supplies and are themselves destined for further
use in production. Understanding this true nature of today’s
trade flows is essential to assessing the Trump administra-
tion’s proposed Section 301 tariffs.
As documented by Richard Baldwin,7
in the last two
decades falling trade frictions and information technology
advances propelled production fragmentation. Firms were
free to locate different manufacturing stages in different
5. See Baldwin (2016, especially pp. 85–110).
6. Although data limitations do not allow us to isolate
exports from specifically US affiliates operating in China, this
broader measure captures exports of all multinational affili-
ates in China and accurately reflects the full supply patterns
of US-based companies.
7. The Great Convergence: Information Technology and
the New Globalization, presentation by Baldwin at his book
launch at the Peterson Institute for International Economics,
November 15, 2016, https://piie.com/events/great-conver-
gence-information-technology-and-new-globalization.
countries. Reduced costs of directing and managing foreign
suppliers, whether operating at arm’s length or as affiliates
abroad, allowed American corporations to “unbundle”
production and arrange manufacturing activity and sourcing
across countries in line with comparative costs.
According to Baldwin (2016), the distinctive feature
of this “new globalization” is the massive knowledge flows
embedded in the offshoring of purchasing and production.
Some of these flows take the form of subcontracting and
licensing agreements, in which innovating firms transfer
blueprints and technologies to lower-cost locations without
investing directly. Other flows occur within the firm as
trade between affiliated parties. Trump’s proposed tariffs
arrive at a time when many Americans doubt the value of
this “unbundling” and, in particular, of trade with China.
While the so-called China shock is often depicted as the
outcome of China’s own opening and reform,8
this view is
at least partially at odds with reality. In fact, American inno-
vation and production stimulate a large share of China’s
exports to the United States and dictate their pace and
scope. While some of this international integration is itself
the result of opening, it is misleading to view it as solely
driven by improvements in Chinese competitiveness. The
clearest indication that knowledge flows and production
unbundling from advanced-economy multinationals drive
China-US trade flows is the share of total exports that origi-
nates in multinational firms operating in China. In 2014,
these foreign-invested enterprises (FIEs) were the source of
46 percent of total Chinese exports to the world. The share
of China’s exports to the United States that originates in
FIEs was significantly larger, at 60 percent.9
In industries
where the benefits of separating innovation and labor-inten-
sive production are particularly large, such as computers
and cell phones, the share of Chinese exports coming to the
United States from FIEs is even greater. 	
The evolution of trade patterns, especially between
China and the United States, clearly reflects the dramatic
extent to which multinational firms have enhanced the
value of their innovative activity by using East Asian supply
chains. US multinationals, such as Apple and Nike, focus
on marketing, design, and innovation, while outsourcing
8. As Autor, Dorn, and Hanson (2013, 2130) describe it,
“China’s export growth…appears to be strongly related to
factors that are China specific. Rapid productivity growth
and extensive policy reforms have contributed to a massive
increase in the country’s absolute and relative manufacturing
capacity.”
9. The bilateral share was computed by Hongsheng Zhang of
Zhejiang University using detailed China Customs Records,
which distinguish export destination and the exporting firm
type.
Tariffs are an ineffective response
to concerns about China’s high-
technology aspirations.
3
PB 18-12	 May 2018
stages of the physical production process. Although some-
times viewed negatively, US firms that engage in offshoring
use their access to inexpensive production abroad to create
greater numbers of higher-paying as well as lower-paying
jobs at home (Oldenski 2014). As Moran and Oldenski
(2016) argue, “domestic production would not be as strong
as it is without access to global supply chains, which reduce
costs, raise productivity, expand the global market share of
US firms, and allow the United States to focus on what it
does best: innovating, researching, and designing the cutting
edge goods and services of the future.”
After 2001, three industries—machinery, computers
and telecommunication devices, and electrical equipment—
experienced rapid unbundling and relocation to China.10
The processing share of China’s trade in these sectors,
defined as trade in which imports enter the country solely
for creating exports, remains high, indicating that these
exports contain relatively low shares of Chinese domestic
value added. China’s processing trade exhibits a triangular
pattern (Van Assche 2012). China imports high-value inputs
predominantly from the United States and richer East Asian
countries and exports processed final goods to the West.11
The innovation, marketing, design, and management that
surround production within China occur primarily in the
United States and other advanced economies.
For an example of how this triangular trade operates, as
well as how American innovation stimulates China’s exports,
consider NVidia, a California-based designer of graphic
processing units and mobile chip units. NVidia designs its
products in the United States and provides technical specifi-
cations (i.e., exports knowledge) to Taiwan Semiconductor
Manufacturing, which manufactures the units in Taiwan.
The units eventually make their way to China, where they
are used in assembly of laptop computers. Some of these
laptops make their way back to the United States while
others go to e-gamers around the world.
China-US trade flows over time have become increas-
ingly triangular. In 1997 computers and telecommunica-
tion devices, electrical equipment, and machinery together
accounted for 33 percent of total US imports from China
(table 1, column 1). Over the next 20 years, bilateral trade
in these three sectors, especially computers and telecommu-
nication devices, grew more rapidly than overall trade. By
2017, the three sectors together accounted for 54 percent
of US imports from China (table 1, column 2). Although
not shown, these sectors account for a large share of Chinese
10. North American Industry Classification System (NAICS)
codes 333, 334, and 335.
11. The origin and destination of China’s processing trade are
detailed in Van Assche (2012, table 1).
imports as well, indicating the importance of imported
inputs in Chinese activity in these areas. The labor-intensive
products often associated with China—apparel, textiles, and
leather products—accounted for 26 percent of US imports
in 1997 but only a much smaller share, 12 percent, by 2017.
SECTORS TARGETED BY PROPOSED SECTION
301 TARIFFS
USTR claims that its proposed list of US imports to tax takes
aim at Chinese firms that seek to misappropriate American
technological know-how. Chad P. Bown classified all the
1,333 products on the proposed tariff list and found that
intermediate inputs and capital equipment comprise almost
85 percent of the $50 billion of imports subject to the
administration’s tariff proposal.12
The next logical question
is whether these targeted sectors are those that benefit from
allegedly misappropriated technological property.
To identify industries at risk of intellectual property
theft, we refer to a 2012 US Department of Commerce
assessment of the patent intensity of US industries.13
In the
report, patent intensity is defined as patents per 1,000 jobs,
and the most patent-intensive sectors are those with patent
intensities above the mean (US Department of Commerce
2012, table 1, p. 8). Appendix table A.1 at the end of this
Policy Brief lists the US patent-intensive industries from the
Commerce Department report.
The identified patent-intensive industries lie within five
broader NAICS sectors.14
Column 3 of table 1 shows the
distribution of targeted import values across NAICS sectors.
One-third of the total targeted import value lies within
12. Chad P. Bown, “The Element of Surprise is a Bad
Strategy for a Trade War,” Harvard Business Review,
April 16, 2018, https://piie.com/commentary/op-eds/
element-surprise-bad-strategy-trade-war.
13. The US Department of Commerce (2012) analyzes patent
intensity using NAICS 4-digit industries as well as some
individual 3-digit industries and combinations of 3- or 4-digit
industries. The US Patent and Trademark Office has NAICS-
based patent data covering the period from 1963 to 2008.
14. These sectors are NAICS 325, 333, 334, 335, and 339.
US Department of Commerce (2012, 7) notes that “the four
most patent-intensive industries all have intensity rates that
are one standard deviation above the mean patent-intensity
cutoff, and are all classified in computer and electronic
product manufacturing (NAICS 334). This three-digit NAICS
industry includes computer and peripheral equipment;
communications equipment; other computer and electronic
products; semiconductor and other electronic components;
and navigational, measuring, electro-medical, and control
instruments. This is unsurprising when one also looks at the
recent top ten US companies ranked by granted patents.
This group of companies includes Intel, Hewlett-Packard,
Micron Technology, and Texas Instruments, each of which is
closely associated with computer and computer peripheral
manufacturing.”
4
PB 18-12	 May 2018
NAICS 334, computer and electronic products. Another
third of the targeted import value lies within NAICS 333,
nonelectrical machinery, which accounts for only 9 percent
of Chinese exports to the United States. Electrical equip-
ment, appliances, and components (NAICS 335) account
for 9 percent of the targeted value. Outside of these three
patent-intensive sectors, only transportation equipment
(NAICS 336) stands out as subject to the tariff, accounting
for about 11 percent of the targeted import value, including
aviation products.
When we match the five patent-intensive sectors to the
proposed tariff list, we find that 80 percent of the targeted
trade (by value) falls within the industries identified as
patent-intensive in the 2012 Department of Commerce
1
Table 1 Shares of all and targeted US imports from China, by industrial sector, 1997
and 2017 (percent)
NAICS
code Description
Share of
US imports,
1997
Share of
US imports,
2017
Share of
targeted
2017 imports
111 Agricultural products 0.16 0.12 0
112 Livestock and livestock products 0.04 0.01 0
113 Forestry products 0.1 0.05 0
114 Fish, fresh/chilled/frozen, and other marine products 0.43 0.43 0
211 Oil and gas 0.12 0 0
212 Minerals and ores 0.18 0.03 0
311 Food and kindred products 0.61 0.76 0
312 Beverages and tobacco products 0.01 0.01 0
313 Textiles and fabrics 0.5 0.99 0
314 Textile mill products 1.79 2.23 0
315 Apparel and accessories 9.87 5.45 0
316 Leather and allied products 14.06 3.7 0.76
321 Wood products 0.8 0.82 0.04
322 Paper 0.57 0.67 0
323 Printed matter and related products 0.59 0.53 0
324 Petroleum and coal products 0.21 0.08 0
325 Chemicals 1.85 3.07 1.52
326 Plastic and rubber products 2.47 3.52 0.05
327 Nonmetallic mineral products 2.36 2.01 0.02
331 Primary metals 1.23 0.82 2.97
332 Fabricated metal products 3.19 4.97 4.94
333 Machinery, except electrical 4.62 9.18 32.72
334 Computer and electronic products 20.84 36.93 33.38
335 Electrical equipment, appliances and components 7.9 8.01 8.84
336 Transportation equipment 1.36 2.6 10.7
337 Furniture and fixtures 3.18 3.42 0
339 Miscellaneous manufacturing 19.53 8.63 3.91
910 Waste and scrap 0.02 0.04 0
930 Used or second-hand merchandise 0.21 0.19 0.15
990 Other special classification provisions 0.79 0.74 0
All sectors 100 100 100
Sources: 1997 and 2017 US imports by NAICS sector are from USITC Dataweb, https://dataweb.usitc.
gov. Targeted shares calculated using imports from China of products targeted by the Section 301
tariffs, https://piie.com/system/files/documents/bown2018-04-04-1.xlsx, matched to NAICS industries
using Pierce and Schott, “A Concordance Between Ten-Digit U.S. Harmonized System Codes and
SIC/NAICS Product Classes and Industries,” http://faculty.som.yale.edu/peterschott/files/research/
papers/hs_sic_38.pdf. Different versions of HS codes matched using Pierce and Schott (2012).
5
PB 18-12	 May 2018
2
Table 2 Characteristics of US imports from China in patent-intensive NAICS sectors (percent)
NAICS
sector Industry description
Share of sector’s
imports from
China, 2017
Share of sector’s
imports that are
US related-party
trade, 2016
Estimated share
of sector’s
imports from
all FIEs, 2017
Estimated share
of sector’s
imports from
HMT-funded
firms, 2017
Estimated share
of sector’s
imports from
other foreign-
funded firms, 2017
325 Chemicals 6.97 30.43 39.54 12.02 27.52
333 Machinery, except electrical 27.31 31.65 64.56 18.95 45.61
334 Computer and electronic products 46.39 40.96 68.09 23.78 44.31
335 Electrical equipment, appliances
and components
36.31 21.54 63.13 32.12 31
339 Miscellaneous manufacturing commodities 35.43 17.93 59.6 34.09 25.51
Sources: See table 1 for source of trade data. US Census data are used to calculate “related-party trade”: https://relatedparty.ftd.census.gov/.
Imports from foreign-invested enterprises (FIEs) refer to imports shipped to the United States by FIEs operating in China, including those
registered in Hong Kong, Macau, and Taiwan (HMT). See text for method used to estimate HMT-funded and foreign-funded enterprise shares.
report.15
In this sense, USTR does primarily take aim at
Chinese exports in sectors where American firms rely on
intellectual property to support American jobs. This literal
matching up, however, does not mean that the administra-
tion’s policy will have its intended effect. In today’s world of
global supply chains what matters is who ultimately pays the
taxes imposed. The result is actually counterproductive for
US technological competitiveness.
TARGETED SECTORS ENGAGE HEAVILY IN
SUPPLY CHAIN TRADE
Several indicators of multinational involvement show the
extent to which trade in the five patent-intensive sectors
reflects global supply chains. China is an important source
for many of these sectors (table 2, column 1). It is a particu-
larly important source of computers and electronic devices,
providing 46 percent of American imports. China supplies
36 percent of electrical equipment, appliances, and compo-
nents, and 35 percent of imports categorized as miscella-
neous manufacturing, which includes medical equipment
and supplies, comes from China. In comparison, nonelec-
trical machinery is somewhat less reliant on China, yet it
supplies 27 percent of US imports in this sector. China
remains a relatively minor source of imported chemicals.
Column 2 reveals that related-party trade accounts for
a large share of trade in these sectors. Related-party trans-
actions include transactions between (1) a parent company
and its subsidiary; (2) subsidiaries of a common parent; (3)
an entity and its principal owners; and (4) affiliates. Related-
party trade comprises an average of 28.5 percent of imports
in all five sectors, accounting for 41 percent of trade in
computers and electronic equipment. These shares are large
15. To do the match, we assign each targeted Harmonized
Tariff Schedule (HTS) 8-digit product to its NAICS 4-digit
sector. We then calculate how much of the targeted trade
value, identified at the 8-digit level, lies within these sectors.
when compared with the overall share of related-party trade
in other sectors, which is consistent with a significant share
of import activity in these sectors being directly related to
the business operations of US-based entities.
While related-party trade provides one measure of
how these flows reflect US-based activity, it must under-
state the degree of supply-chain-related trade. Significantly,
related-party shares do not include trade between US enti-
ties and unaffiliated multinational firms operating in China,
even when their production activities are closely linked.
For example, related-party trade shares will fail to capture
imports from a Taiwanese subcontractor who produces
parts using the specifications of an American manufacturer,
if they do not share a legal parent or affiliate relationship. To
capture these other important supply chain flows, column 3
provides an estimate of how much of each sector’s imports
originates in a foreign-invested enterprise (FIE) operating
in China. While these flows will reflect some value added
by domestic Chinese suppliers to these FIEs, the trade itself
is, by definition, the result of multinational sourcing and
supply decisions.
An FIE is a foreign-funded enterprise operating in
China, including those domiciled in Hong Kong, Macau,
and Taiwan (HMT). China Customs Records allow us to
estimate the share of exports originating in foreign-funded
enterprises. These records provide the FIE share of trade
at the most detailed, internationally shared level of disag-
gregation, Harmonized System 6-digit level (HS6). We use
data from 2006, the most recent year available to us. Thus,
this method assumes that FIE shares did not change much
between 2006 and 2017. This assumption seems reasonable
given how little FIE shares of China’s exports to the United
States changed over the period. In 2006, 60 percent of these
exports originated in FIEs, a share that remained virtually
unchanged in 2014.
China Customs distinguishes between exports that
originate in an HMT-funded enterprise and exports from
6
PB 18-12	 May 2018
3
Table 3 Characteristics of targeted US imports from China in patent-intensive
NAICS sectors, 2017 (percent)
NAICS
sector Industry description
Share of US
imports in
sector targeted
by Section
301 tariffs
Estimated share
of targeted
US imports
from FIEs
325 Chemicals 4.56 14.56
333 Machinery, except electrical 32.79 59.35
334 Computer and electronic products 8.32 85.62
335 Electrical equipment, appliances and components 10.15 63.17
339 Miscellaneous manufacturing 4.17 68.44
Sources: See table 1 for source of trade data. Imports from foreign-invested enterprises (FIEs)
refer to imports shipped to the United States by FIEs operating in China, including those
registered in Hong Kong, Macau, and Taiwan. See text for method used to estimate FIE share.
non-HMT foreign enterprises, called (somewhat confus-
ingly) foreign-funded.16
A foreign investor may enter China
by creating a wholly owned foreign enterprise (WOFE)
or by setting up a joint venture with a domestic Chinese
partner, both of which are included in the FIE trade shares.17
Unfortunately, China Customs Records do not provide
enough information to identify separately flows originating
in American firms operating in China, although the related-
party trade reported above provides a useful upper bound on
the extent of that activity.
Applying the China Customs shares to US import data
in each HS6 sector provides an estimated share of Chinese
exports to the United States originating in FIEs.18
For shares
at an industry level, each HS6 sector is mapped to a unique
NAICS code, resulting in the FIE shares shown in column
3 of table 2 for the five patent-intensive NAICS sectors.19
More than half of US imports in each sector, except
chemicals, originates in an FIE. In the most patent-intensive
sector, computer and electronic products, 68 percent of US
16. While this distinction is interesting, as some differences
in behavior have been found depending on investor origin
country, in fact any investment made through a Hong Kong–
based affiliate, even if the affiliate is owned by a non-Chinese
parent, is labeled an HMT enterprise.
17. One aspect of the Section 301 investigation is the conten-
tion that China forces investors to transfer technology to
domestic partners within joint ventures. We do not have in-
formation on the share of trade in each sector that originates
in joint ventures between a domestic Chinese enterprise and
a foreign enterprise.
18. US trade data are from the US International Trade
Commission’s Dataweb, https://dataweb.usitc.gov/.
Concordance between different versions of HS provided by
Pierce and Schott (2012).
19. The concordance used to map between HS and NAICS
is provided by Pierce and Schott, “A Concordance Between
Ten-Digit U.S. Harmonized System Codes and SIC/NAICS
Product Classes and Industries,” http://faculty.som.yale.edu/
peterschott/files/research/papers/hs_sic_38.pdf.
imports come from multinational firms operating in China.
FIEs in China are a significant source of US imports of
nonelectrical machinery (65 percent), electrical equipment,
appliances, and components (63 percent), and miscella-
neous manufactured goods (60 percent).
Column 4 in table 2 shows estimated shares of imports
that originate in HMT-funded enterprises. But because
total FIE shares may include investment by mainland
Chinese firms through Hong Kong, as when so-called
round-tripping of investment occurs, table 2 also provides
estimated shares of imports that originate in foreign-funded
(i.e., non-HMT) enterprises (column 5). Interestingly, at
least one-half to two-thirds of FIE exports to the United
States come from these non-HMT foreign-funded affiliates.
For example, of the 68 percent of computer and electronics
imports that originate in FIEs, foreign-funded enterprises
account for almost two-thirds (44.31/68.09). Given
historical patterns of foreign direct investment, Japanese,
American, South Korean, and European multinational firms
primarily own these affiliates. In short, these are exports of
US foreign affiliates or of US military and political allies.
TARGETED CHINESE EXPORTS ORIGINATE IN
FOREIGN AFFILIATES
It is possible that particular products within these sectors
are less likely to originate in FIEs than suggested by our
analysis of the sector’s trade as a whole. This possibility is
of interest, given the stated objective of USTR to aim tariffs
at Chinese firms benefitting from allegedly misappropriated
American technology. As shown in table 3, column 1, the
share of imports from China potentially subject to new US
tariffs varies widely by sector. These shares are small, except
for NAICS 333, nonelectrical machinery, where about
one-third of imports from China are potentially subject to
taxation. Perhaps these differences reflect USTR’s focus on
Chinese producers, which is missed when examining shares
of all trade in the sector.
7
PB 18-12	 May 2018
To investigate this possibility, we use the FIE shares
taken from China Customs Records, as described above, to
estimate the share of targeted products within these sectors
that originate in foreign affiliates. As shown in table 3,
column 2, except for chemicals, targeted imports are sourced
primarily from foreign affiliates operating in China. Indeed,
the share of targeted imports in computers and electronic
products is overwhelmingly from multinational subsidiaries:
We estimate that 86 percent of these targeted imports come
from FIEs.
Another possibility is that Section 301 tariffs tax exports
to the United States of joint ventures operating in China.
USTR might pursue such a strategy if joint ventures are seen
as a main vehicle through which technology is misappropri-
ated. US tariffs on joint venture exports, therefore, could
be considered a justifiably targeted response to Chinese
technology-appropriating behavior.
Whatever the validity of such logic, however, joint
ventures probably provide only a small share of high-
technology imports from China. While no information is
available on the joint venture share of Chinese exports to the
United States alone, China provides such information for its
overall high-tech exports to the world, which can illuminate
this point. Chinese statisticians identify five manufacturing
sectors as high-tech: medicines; aircraft and spacecraft;
electronic and communication equipment; computers and
office equipment; and medical and measuring instrument.20
There is a large overlap between these categories and the
patent-intensive sectors identified by the US Department of
Commerce (2012). Figure 1 shows the share of total exports
from these sectors that originates in foreign-invested equity
joint ventures and in wholly owned foreign enterprises. In
2013, only 17 percent of total high-tech exports originated
in joint ventures. The largest share, 55 percent, originated
in WOFEs. Given that trends in the WOFE share of new
direct investment from the United States are similar to those
of other source countries, it is likely that WOFEs dominate
FIE exports of high-tech goods to the United States.	
SECTION 301 TARIFFS TAX INPUTS FOR
AMERICAN MANUFACTURERS
Trump tariffs largely tax the exports of foreign enterprises op-
erating in China, whether US-owned or with parents domi-
ciled in other advanced economies (all US allies). The Trump
administration may be sanguine about the pain inflicted by
20. In a 2013 revision, the manufacture of electronic chemi-
cals was added to this list.
0
10
20
30
40
50
60
70
80
90
100
2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Equity joint ventures
Wholly owned foreign
enterprises
percent
Figure 1 Share of exports by wholly foreign-owned enterprises and equity joint
venture in high-tech manufacturing, 2002–13
Source: Ministry of Commerce (2016, 47), with translation and formatting by Zixuan Huang, PIIE.
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PB 18-12	 May 2018
4
Table 4 Distribution of targeted trade value and estimated share of targeted trade originating
in a foreign-invested enterprise, by broad economic category, 2017 (percent)
Broad economic category
Distribution of
targeted value
across categories
Estimated share
of targeted value
in category that
comes from FIEs
1. Food and beverages 0 0
2. Industrial supplies not elsewhere specified 7.28 44.36
3. Fuels and lubricants 0 0
4. Capital goods (except transportation equipment), and parts and accessories 72.85 70.27
41. Capital goods (except transportation equipment) 43.43 74.41
42. Parts and accessories 29.42 64.16
5. Transportation equipment and parts and accessories 8.55 63.22
6. Consumer goods not elsewhere specified 11.3 75.61
7. Goods not elsewhere specified 0.03 51.01
Sources: Trade values translated from Harmonized Schedule (HS) categories to United Nations’ classification of
broad economic categories using the concordance found at https://unstats.un.org/unsd/trade/classifications/
correspondence-tables.asp. Share of targeted value from foreign-invested (FIEs) is the estimated share of targeted
trade value shipped from FIEs operating in China, including those registered in Hong Kong, Macau, and Taiwan.
its proposed tariffs on the affiliates of allies, but it should be
concerned at least about potential damage on American busi-
nesses and their employees. US firms rely on global supply
chains to remain internationally competitive. To the extent
that the tariffs land directly on productive inputs, they raise
the cost of manufacturing goods in the United States, push
American firms offshore, and handicap US-based exporters
selling in foreign markets. Given the unilateral nature of the
proposed tariffs, competitors based in other countries will
not face the same taxes on their production and inputs.
To investigate the extent to which the proposed Section
301 tariffs land on capital and intermediate goods purchased
by US-based producers, targeted tariff lines can be viewed
through the lens of the United Nations’ broad economic
categories (BEC).21
The BEC groups transportable goods
according to their main end use, separating consumer goods
from other products.
The largest targeted trade value is in BEC category 4
(table 4, column 1).22
Capital goods, parts, and accesso-
ries are most likely to be subject to new taxes. This broad
category can be further divided into two subgroups: Capital
goods account for 43 percent of the targeted value, and parts
and accessories account for 29 percent of the total.
As shown in table 4, column 2, targeted imports over-
whelmingly come from FIEs. An estimated 74 percent of
targeted capital goods come from FIEs and an estimated 64
21. We use the United Nations’ concordance to take the HS
data into the BEC, https://unstats.un.org/unsd/trade/clas-
sifications/correspondence-tables.asp.
22. These estimates rely on China Customs Records data, as
described above.
percent of targeted parts and accessories come from FIEs. It
is, therefore, fair to describe the tariffs as taxes on American
productive inputs purchased from affiliates of foreign firms
operating in China, many of them wholly owned foreign
subsidiaries. Manufacturers from other advanced econo-
mies, such as Germany, Japan, or South Korea, will be able
to purchase their capital goods and supplies from China
untaxed and use them to build final goods that compete
directly with American producers thus disadvantaged by the
Trump tariffs.	
CONCLUSION: TRUMP’S SECTION 301 TARIFFS
ARE AN OWN GOAL
The evidence overwhelmingly supports the conclusion that
the proposed Section 301 tariffs target multinational supply
chains. They drive up costs for US-based manufacturers
and disadvantage American workers competing in global
markets. The tariff lines marked by USTR do capture
trade in high-technology goods. Information from China
Customs Records, however, suggests that much of this trade
originates in foreign-invested enterprises, the Chinese-based
affiliates of multinational firms. Moreover, because the
targeted products are largely capital and intermediate goods
used for domestic production, the Section 301 tariffs are
taxes on manufacturing in America.
Global trade patterns present American policymakers
with two unavoidable features of the commercial landscape.
First, given China-US trade patterns, any proposal that
affects a substantial share of bilateral trade will hit high-tech-
nology supply chains, which US multinational companies
utilize to produce high-value added innovative and profit-
able services and inputs. Second, any proposal that includes
9
PB 18-12	 May 2018
tariffs on a substantial share of trade will negatively affect
the Chinese operations of Americans or American allies. In
both ways, the tariffs spell trouble for American businesses
and foreign relations.
President Trump’s Section 301 tariffs are a commercial
own goal in that they harm American interests more than
their intended targets. That the tariffs fail to hurt Chinese
firms directly should not be a surprise. There remains an
enormous knowledge gap between China and the United
States, even if this gap is closing. Indeed, without this gap,
allegations of technology misappropriation and theft would
make no sense. USTR’s desire to use trade policy to hurt
the recipients of China’s industrial policy must be consid-
ered in light of this reality. Made in China 2025 remains
an aspiration, not a reflection of current manufacturing
prowess. It is impossible to hit tomorrow’s exports with
today’s tariffs.
President Trump’s Section 301 tariffs are a prime
example of 20th century tools aimed at the knowledge-
embodying trade flows of the 21st century. Tariffs and
quotas are ineffective at stemming knowledge flows between
innovative countries and developing nations. Beyond the
immediate damage to American competitiveness, trade
restrictions push high-technology firms to locate elsewhere
in the future. Tariffs can diminish trade flows, but ideas are
easily relocated. American workers would bear the burden if
high-value activity moves offshore due to the ill-conceived
tariffs of the Trump administration.
REFERENCES
Autor, David H., David Dorn, and Gordon H. Hanson. 2013. The
China Syndrome: Local Labor Market Effects of Import Com-
petition in the United States. American Economic Review 103,
no. 6: 2121–68.
Baldwin, Richard. 2016. The Great Convergence: Informa-
tion Technology and the New Globalization. Cambridge, MA:
Belknap Press of Harvard University Press.
Ministry of Commerce. 2016. 2016 Report on Chinese Foreign
Investment. Beijing.
Moran, Theodore H., and Lindsay Oldenski. 2016. How Off-
shoring and Global Supply Chains Enhance the Global Econo-
my. PIIE Policy Brief 16-5. Washington: Peterson Institute for
International Economics.
Oldenski, Lindsay. 2014. Offshoring and the Polarization of the
US Labor Market. Industrial and Labor Relations Review 67
(May).
Pierce, Justin R., and Peter K. Schott. 2012. Concording U.S.
Harmonized System Codes over Time. Journal of Official Sta-
tistics 28, no. 1: 53–68. Available at www.justinrpierce.com/
index_files/Pierce_Schott_JOS_2012.pdf.
US Department of Commerce. 2012. Intellectual Property and
the U.S. Economy: Industries in Focus. Washington: Econom-
ics and Statistics Administration and US Patent and Trade-
mark Office. Available at www.esa.doc.gov/sites/default/
files/ipandtheuseconomyindustriesinfocus.pdf.
Van Assche, Ari. 2012. Global Value Chains and Canada’s Trade
Policy: Business as Usual or Paradigm Shift? IRPP Study no.
32. Montreal, Quebec: Institute for Research on Public Policy.
Available at http://irpp.org/research-studies/study-no32/.
10
PB 18-12	 May 2018
© Peterson Institute for International Economics. All rights reserved.
This publication has been subjected to a prepublication peer review intended to ensure analytical quality.
The views expressed are those of the authors. This publication is part of the overall program of the
Peterson Institute for International Economics, as endorsed by its Board of Directors, but it does not neces-
sarily reflect the views of individual members of the Board or of the Institute’s staff or management.
The Peterson Institute for International Economics is a private nonpartisan, nonprofit institution for rigorous,
intellectually open, and indepth study and discussion of international economic policy. Its purpose is to identify and analyze
important issues to make globalization beneficial and sustainable for the people of the United States and the world, and then
to develop and communicate practical new approaches for dealing with them. Its work is funded by a highly diverse group of
philanthropic foundations, private corporations, and interested individuals, as well as income on its capital fund. About
35 percent of the Institute’s resources in its latest fiscal year were provided by contributors from outside the United States.
A list of all financial supporters is posted at https://piie.com/sites/default/files/supporters.pdf.
5
Table A.1 US patent-intensive industries, by NAICS code
NAICS
code Industry title
3251 Basic chemical manufacturing
3252 Resin, rubber, and artificial fibers
3253 Agricultural chemical manufacturing
3254 Pharmaceutical and medicine manufacturing
3255 Paint, coating, and adhesive manufacturing
3256 Soap, cleaning compound, and toiletries
3259 Other chemical product and preparations
3331 Agriculture construction, and mining machinery manufacturing
3332 Industrial machinery manufacturing
3333 Commercial and service industry manufacturing
3334 HVAC and commercial refrigeration
3335 Metalworking machinery manufacturing
3336 Turbine and power transmission equipment manufacturing
3339 Other general purpose machinery manufacturing
3341 Computer and peripheral equipment
3342 Communications equipment manufacturing
3343 Audio and video equipment manufacturing
3344 Semiconductor and electronic component manufacturing
3345 Electronic instrument manufacturing
3346 Magnetic media manufacturing and reproducing
3351 Electric lighting equipment manufacturing
3352 Household appliance manufacturing
3353 Electrical equipment manufacturing
3359 Other electrical equipment and components
3391 Medical equipment and supplies manufacturing
3399 Other miscellaneous manufacturing
Source: US Department of Commerce (2012). Adapted from table 10
on pages 36–38.
APPENDIX

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Trump Tariffs Primarily Hit Multinational Supply Chains, Harm US Technology Competitiveness

  • 1. 1750 Massachusetts Avenue, NW | Washington, DC 20036-1903 USA | +1.202.328.9000 | www.piie.com POLICY BRIEF 18-12 Trump Tariffs Primarily Hit Multinational Supply Chains, Harm US Technology Competitiveness Mary E. Lovely and Yang Liang May 2018 Mary E. Lovely, nonresident senior fellow at the Peterson Institute for International Economics, is professor of eco- nomics and Melvin A. Eggers Faculty Scholar at Syracuse University’s Maxwell School of Citizenship and Public Affairs. Yang Liang is a PhD candidate in the Economics Department at Syracuse University and graduate associate at the Moynihan Institute of Global Affairs. © Peterson Institute for International Economics. All rights reserved. Of the many causes of conflict between the United States and China, disagreements over the treatment of American intellectual property may be the most difficult to resolve. In 2017, the Trump administration formally complained that China has been receiving and benefiting from flows of American knowledge it had not properly acquired. The administration charged further that by various means, including forced technology transfers between joint venture partners, reverse engineering, patent violation, and industrial espionage, China has been and continues to subvert global trading rules and norms to unfairly acquire American tech- nology. Such misappropriation, it further alleged, reduces the return to American innovation, diverts American jobs to China, and contributes to the bilateral trade imbalance. To support its contention, in August 2017 the Office of the US Trade Representative (USTR) launched an inves- tigation under Section 301 of the Trade Act of 1974 into “Chinese laws, policies and practices which may be harming American intellectual property rights, innovation, or tech- nology development.”1 Seven months after that investigation started, USTR Robert Lighthizer released a report detailing claims that China undermines US rights in the technology sector, and in April 2018 USTR proposed a list of Chinese exports that could be subject to additional US tariffs of 25 percent.2 The list targets products in sectors that USTR determined “benefit from China’s industrial plans,” such as Made in China 2025, including aerospace, information and commu- nication technology, robotics, and machinery. In an attempt to minimize the pain for American consumers, USTR excluded products such as textiles and apparel, footwear, laptops, and cell phones from the list.3 This Policy Brief argues that while the problems identi- fied by the USTR report have plagued the bilateral relation- ship for years, the administration’s tactic of imposing tariffs in the sectors specified by USTR may prove more harmful than effective. Rather than hitting the administration’s intended target—Chinese firms that may have unfairly obtained American technology—the proposed tariffs would actually inflict damage on US high-technology sectors.4 We examine the effects of the tariffs through the lens of Richard Baldwin’s “great unbundling,” focusing on the importance of knowledge flows and production fragmenta- 1. USTR, “USTR Announces Initiation of Section 301 Investigation of China,” press release, August 18, 2017, https://ustr.gov/about-us/ policy-offices/press-office/press-releases/2017/august/ ustr-announces-initiation-section. 2. USTR, “Notice of Determination and Request for Public Comment Concerning Proposed Determination of Action Pursuant to Section 301: China’s Acts, Policies, and Practices Related to Technology Transfer, Intellectual Property, and Innovation,” https://ustr.gov/sites/default/files/files/Press/ Releases/301FRN.pdf. 3. USTR, “Under Section 301 Action, USTR Releases Proposed Tariff List on Chinese Products,” press release, April 3, 2018, https://ustr.gov/about-us/ policy-offices/press-office/press-releases/2018/april/ under-section-301-action-ustr. 4. This Policy Brief does not evaluate the Section 301 claims against China. It aims to explain how the proposed tariffs will tax trade flows and where the burden of taxation is likely to fall.
  • 2. 2 PB 18-12 May 2018 tion to 21st century supply chains.5 The proposed tariffs will hit bilateral trade in fast-growing, knowledge-based sectors the hardest. The lion’s share of US imports in these sectors originates in Chinese-based affiliates of multinational firms, not Chinese domestic firms.6 Further, the products on the tariff hit list are largely inputs used in American produc- tion, even when looking beyond formal affiliates of US companies, meaning that the proposed Trump taxes would decrease American competitiveness. The Policy Brief thus argues that tariffs are an ineffective response to concerns about China’s high-technology aspirations. Instead, they disadvantage American producers and harm US allies oper- ating in East Asia while missing the mark on penalizing Chinese domestic firms that may have misappropriated US and other advanced economies’ technologies. KNOWLEDGE FLOWS, SUPPLY CHAINS, AND TRADE PATTERNS Unlike textbook examples of trade, in which goods are completely made within the borders of one country and shipped to another, much of what the United States imports from China contains value created in other locations, including American intellectual property. These relatively new arrangements are highlighted by testimony collected during the Section 301 investigation. Moreover, much of the actual goods exchanged are capital goods or industrial parts and supplies and are themselves destined for further use in production. Understanding this true nature of today’s trade flows is essential to assessing the Trump administra- tion’s proposed Section 301 tariffs. As documented by Richard Baldwin,7 in the last two decades falling trade frictions and information technology advances propelled production fragmentation. Firms were free to locate different manufacturing stages in different 5. See Baldwin (2016, especially pp. 85–110). 6. Although data limitations do not allow us to isolate exports from specifically US affiliates operating in China, this broader measure captures exports of all multinational affili- ates in China and accurately reflects the full supply patterns of US-based companies. 7. The Great Convergence: Information Technology and the New Globalization, presentation by Baldwin at his book launch at the Peterson Institute for International Economics, November 15, 2016, https://piie.com/events/great-conver- gence-information-technology-and-new-globalization. countries. Reduced costs of directing and managing foreign suppliers, whether operating at arm’s length or as affiliates abroad, allowed American corporations to “unbundle” production and arrange manufacturing activity and sourcing across countries in line with comparative costs. According to Baldwin (2016), the distinctive feature of this “new globalization” is the massive knowledge flows embedded in the offshoring of purchasing and production. Some of these flows take the form of subcontracting and licensing agreements, in which innovating firms transfer blueprints and technologies to lower-cost locations without investing directly. Other flows occur within the firm as trade between affiliated parties. Trump’s proposed tariffs arrive at a time when many Americans doubt the value of this “unbundling” and, in particular, of trade with China. While the so-called China shock is often depicted as the outcome of China’s own opening and reform,8 this view is at least partially at odds with reality. In fact, American inno- vation and production stimulate a large share of China’s exports to the United States and dictate their pace and scope. While some of this international integration is itself the result of opening, it is misleading to view it as solely driven by improvements in Chinese competitiveness. The clearest indication that knowledge flows and production unbundling from advanced-economy multinationals drive China-US trade flows is the share of total exports that origi- nates in multinational firms operating in China. In 2014, these foreign-invested enterprises (FIEs) were the source of 46 percent of total Chinese exports to the world. The share of China’s exports to the United States that originates in FIEs was significantly larger, at 60 percent.9 In industries where the benefits of separating innovation and labor-inten- sive production are particularly large, such as computers and cell phones, the share of Chinese exports coming to the United States from FIEs is even greater. The evolution of trade patterns, especially between China and the United States, clearly reflects the dramatic extent to which multinational firms have enhanced the value of their innovative activity by using East Asian supply chains. US multinationals, such as Apple and Nike, focus on marketing, design, and innovation, while outsourcing 8. As Autor, Dorn, and Hanson (2013, 2130) describe it, “China’s export growth…appears to be strongly related to factors that are China specific. Rapid productivity growth and extensive policy reforms have contributed to a massive increase in the country’s absolute and relative manufacturing capacity.” 9. The bilateral share was computed by Hongsheng Zhang of Zhejiang University using detailed China Customs Records, which distinguish export destination and the exporting firm type. Tariffs are an ineffective response to concerns about China’s high- technology aspirations.
  • 3. 3 PB 18-12 May 2018 stages of the physical production process. Although some- times viewed negatively, US firms that engage in offshoring use their access to inexpensive production abroad to create greater numbers of higher-paying as well as lower-paying jobs at home (Oldenski 2014). As Moran and Oldenski (2016) argue, “domestic production would not be as strong as it is without access to global supply chains, which reduce costs, raise productivity, expand the global market share of US firms, and allow the United States to focus on what it does best: innovating, researching, and designing the cutting edge goods and services of the future.” After 2001, three industries—machinery, computers and telecommunication devices, and electrical equipment— experienced rapid unbundling and relocation to China.10 The processing share of China’s trade in these sectors, defined as trade in which imports enter the country solely for creating exports, remains high, indicating that these exports contain relatively low shares of Chinese domestic value added. China’s processing trade exhibits a triangular pattern (Van Assche 2012). China imports high-value inputs predominantly from the United States and richer East Asian countries and exports processed final goods to the West.11 The innovation, marketing, design, and management that surround production within China occur primarily in the United States and other advanced economies. For an example of how this triangular trade operates, as well as how American innovation stimulates China’s exports, consider NVidia, a California-based designer of graphic processing units and mobile chip units. NVidia designs its products in the United States and provides technical specifi- cations (i.e., exports knowledge) to Taiwan Semiconductor Manufacturing, which manufactures the units in Taiwan. The units eventually make their way to China, where they are used in assembly of laptop computers. Some of these laptops make their way back to the United States while others go to e-gamers around the world. China-US trade flows over time have become increas- ingly triangular. In 1997 computers and telecommunica- tion devices, electrical equipment, and machinery together accounted for 33 percent of total US imports from China (table 1, column 1). Over the next 20 years, bilateral trade in these three sectors, especially computers and telecommu- nication devices, grew more rapidly than overall trade. By 2017, the three sectors together accounted for 54 percent of US imports from China (table 1, column 2). Although not shown, these sectors account for a large share of Chinese 10. North American Industry Classification System (NAICS) codes 333, 334, and 335. 11. The origin and destination of China’s processing trade are detailed in Van Assche (2012, table 1). imports as well, indicating the importance of imported inputs in Chinese activity in these areas. The labor-intensive products often associated with China—apparel, textiles, and leather products—accounted for 26 percent of US imports in 1997 but only a much smaller share, 12 percent, by 2017. SECTORS TARGETED BY PROPOSED SECTION 301 TARIFFS USTR claims that its proposed list of US imports to tax takes aim at Chinese firms that seek to misappropriate American technological know-how. Chad P. Bown classified all the 1,333 products on the proposed tariff list and found that intermediate inputs and capital equipment comprise almost 85 percent of the $50 billion of imports subject to the administration’s tariff proposal.12 The next logical question is whether these targeted sectors are those that benefit from allegedly misappropriated technological property. To identify industries at risk of intellectual property theft, we refer to a 2012 US Department of Commerce assessment of the patent intensity of US industries.13 In the report, patent intensity is defined as patents per 1,000 jobs, and the most patent-intensive sectors are those with patent intensities above the mean (US Department of Commerce 2012, table 1, p. 8). Appendix table A.1 at the end of this Policy Brief lists the US patent-intensive industries from the Commerce Department report. The identified patent-intensive industries lie within five broader NAICS sectors.14 Column 3 of table 1 shows the distribution of targeted import values across NAICS sectors. One-third of the total targeted import value lies within 12. Chad P. Bown, “The Element of Surprise is a Bad Strategy for a Trade War,” Harvard Business Review, April 16, 2018, https://piie.com/commentary/op-eds/ element-surprise-bad-strategy-trade-war. 13. The US Department of Commerce (2012) analyzes patent intensity using NAICS 4-digit industries as well as some individual 3-digit industries and combinations of 3- or 4-digit industries. The US Patent and Trademark Office has NAICS- based patent data covering the period from 1963 to 2008. 14. These sectors are NAICS 325, 333, 334, 335, and 339. US Department of Commerce (2012, 7) notes that “the four most patent-intensive industries all have intensity rates that are one standard deviation above the mean patent-intensity cutoff, and are all classified in computer and electronic product manufacturing (NAICS 334). This three-digit NAICS industry includes computer and peripheral equipment; communications equipment; other computer and electronic products; semiconductor and other electronic components; and navigational, measuring, electro-medical, and control instruments. This is unsurprising when one also looks at the recent top ten US companies ranked by granted patents. This group of companies includes Intel, Hewlett-Packard, Micron Technology, and Texas Instruments, each of which is closely associated with computer and computer peripheral manufacturing.”
  • 4. 4 PB 18-12 May 2018 NAICS 334, computer and electronic products. Another third of the targeted import value lies within NAICS 333, nonelectrical machinery, which accounts for only 9 percent of Chinese exports to the United States. Electrical equip- ment, appliances, and components (NAICS 335) account for 9 percent of the targeted value. Outside of these three patent-intensive sectors, only transportation equipment (NAICS 336) stands out as subject to the tariff, accounting for about 11 percent of the targeted import value, including aviation products. When we match the five patent-intensive sectors to the proposed tariff list, we find that 80 percent of the targeted trade (by value) falls within the industries identified as patent-intensive in the 2012 Department of Commerce 1 Table 1 Shares of all and targeted US imports from China, by industrial sector, 1997 and 2017 (percent) NAICS code Description Share of US imports, 1997 Share of US imports, 2017 Share of targeted 2017 imports 111 Agricultural products 0.16 0.12 0 112 Livestock and livestock products 0.04 0.01 0 113 Forestry products 0.1 0.05 0 114 Fish, fresh/chilled/frozen, and other marine products 0.43 0.43 0 211 Oil and gas 0.12 0 0 212 Minerals and ores 0.18 0.03 0 311 Food and kindred products 0.61 0.76 0 312 Beverages and tobacco products 0.01 0.01 0 313 Textiles and fabrics 0.5 0.99 0 314 Textile mill products 1.79 2.23 0 315 Apparel and accessories 9.87 5.45 0 316 Leather and allied products 14.06 3.7 0.76 321 Wood products 0.8 0.82 0.04 322 Paper 0.57 0.67 0 323 Printed matter and related products 0.59 0.53 0 324 Petroleum and coal products 0.21 0.08 0 325 Chemicals 1.85 3.07 1.52 326 Plastic and rubber products 2.47 3.52 0.05 327 Nonmetallic mineral products 2.36 2.01 0.02 331 Primary metals 1.23 0.82 2.97 332 Fabricated metal products 3.19 4.97 4.94 333 Machinery, except electrical 4.62 9.18 32.72 334 Computer and electronic products 20.84 36.93 33.38 335 Electrical equipment, appliances and components 7.9 8.01 8.84 336 Transportation equipment 1.36 2.6 10.7 337 Furniture and fixtures 3.18 3.42 0 339 Miscellaneous manufacturing 19.53 8.63 3.91 910 Waste and scrap 0.02 0.04 0 930 Used or second-hand merchandise 0.21 0.19 0.15 990 Other special classification provisions 0.79 0.74 0 All sectors 100 100 100 Sources: 1997 and 2017 US imports by NAICS sector are from USITC Dataweb, https://dataweb.usitc. gov. Targeted shares calculated using imports from China of products targeted by the Section 301 tariffs, https://piie.com/system/files/documents/bown2018-04-04-1.xlsx, matched to NAICS industries using Pierce and Schott, “A Concordance Between Ten-Digit U.S. Harmonized System Codes and SIC/NAICS Product Classes and Industries,” http://faculty.som.yale.edu/peterschott/files/research/ papers/hs_sic_38.pdf. Different versions of HS codes matched using Pierce and Schott (2012).
  • 5. 5 PB 18-12 May 2018 2 Table 2 Characteristics of US imports from China in patent-intensive NAICS sectors (percent) NAICS sector Industry description Share of sector’s imports from China, 2017 Share of sector’s imports that are US related-party trade, 2016 Estimated share of sector’s imports from all FIEs, 2017 Estimated share of sector’s imports from HMT-funded firms, 2017 Estimated share of sector’s imports from other foreign- funded firms, 2017 325 Chemicals 6.97 30.43 39.54 12.02 27.52 333 Machinery, except electrical 27.31 31.65 64.56 18.95 45.61 334 Computer and electronic products 46.39 40.96 68.09 23.78 44.31 335 Electrical equipment, appliances and components 36.31 21.54 63.13 32.12 31 339 Miscellaneous manufacturing commodities 35.43 17.93 59.6 34.09 25.51 Sources: See table 1 for source of trade data. US Census data are used to calculate “related-party trade”: https://relatedparty.ftd.census.gov/. Imports from foreign-invested enterprises (FIEs) refer to imports shipped to the United States by FIEs operating in China, including those registered in Hong Kong, Macau, and Taiwan (HMT). See text for method used to estimate HMT-funded and foreign-funded enterprise shares. report.15 In this sense, USTR does primarily take aim at Chinese exports in sectors where American firms rely on intellectual property to support American jobs. This literal matching up, however, does not mean that the administra- tion’s policy will have its intended effect. In today’s world of global supply chains what matters is who ultimately pays the taxes imposed. The result is actually counterproductive for US technological competitiveness. TARGETED SECTORS ENGAGE HEAVILY IN SUPPLY CHAIN TRADE Several indicators of multinational involvement show the extent to which trade in the five patent-intensive sectors reflects global supply chains. China is an important source for many of these sectors (table 2, column 1). It is a particu- larly important source of computers and electronic devices, providing 46 percent of American imports. China supplies 36 percent of electrical equipment, appliances, and compo- nents, and 35 percent of imports categorized as miscella- neous manufacturing, which includes medical equipment and supplies, comes from China. In comparison, nonelec- trical machinery is somewhat less reliant on China, yet it supplies 27 percent of US imports in this sector. China remains a relatively minor source of imported chemicals. Column 2 reveals that related-party trade accounts for a large share of trade in these sectors. Related-party trans- actions include transactions between (1) a parent company and its subsidiary; (2) subsidiaries of a common parent; (3) an entity and its principal owners; and (4) affiliates. Related- party trade comprises an average of 28.5 percent of imports in all five sectors, accounting for 41 percent of trade in computers and electronic equipment. These shares are large 15. To do the match, we assign each targeted Harmonized Tariff Schedule (HTS) 8-digit product to its NAICS 4-digit sector. We then calculate how much of the targeted trade value, identified at the 8-digit level, lies within these sectors. when compared with the overall share of related-party trade in other sectors, which is consistent with a significant share of import activity in these sectors being directly related to the business operations of US-based entities. While related-party trade provides one measure of how these flows reflect US-based activity, it must under- state the degree of supply-chain-related trade. Significantly, related-party shares do not include trade between US enti- ties and unaffiliated multinational firms operating in China, even when their production activities are closely linked. For example, related-party trade shares will fail to capture imports from a Taiwanese subcontractor who produces parts using the specifications of an American manufacturer, if they do not share a legal parent or affiliate relationship. To capture these other important supply chain flows, column 3 provides an estimate of how much of each sector’s imports originates in a foreign-invested enterprise (FIE) operating in China. While these flows will reflect some value added by domestic Chinese suppliers to these FIEs, the trade itself is, by definition, the result of multinational sourcing and supply decisions. An FIE is a foreign-funded enterprise operating in China, including those domiciled in Hong Kong, Macau, and Taiwan (HMT). China Customs Records allow us to estimate the share of exports originating in foreign-funded enterprises. These records provide the FIE share of trade at the most detailed, internationally shared level of disag- gregation, Harmonized System 6-digit level (HS6). We use data from 2006, the most recent year available to us. Thus, this method assumes that FIE shares did not change much between 2006 and 2017. This assumption seems reasonable given how little FIE shares of China’s exports to the United States changed over the period. In 2006, 60 percent of these exports originated in FIEs, a share that remained virtually unchanged in 2014. China Customs distinguishes between exports that originate in an HMT-funded enterprise and exports from
  • 6. 6 PB 18-12 May 2018 3 Table 3 Characteristics of targeted US imports from China in patent-intensive NAICS sectors, 2017 (percent) NAICS sector Industry description Share of US imports in sector targeted by Section 301 tariffs Estimated share of targeted US imports from FIEs 325 Chemicals 4.56 14.56 333 Machinery, except electrical 32.79 59.35 334 Computer and electronic products 8.32 85.62 335 Electrical equipment, appliances and components 10.15 63.17 339 Miscellaneous manufacturing 4.17 68.44 Sources: See table 1 for source of trade data. Imports from foreign-invested enterprises (FIEs) refer to imports shipped to the United States by FIEs operating in China, including those registered in Hong Kong, Macau, and Taiwan. See text for method used to estimate FIE share. non-HMT foreign enterprises, called (somewhat confus- ingly) foreign-funded.16 A foreign investor may enter China by creating a wholly owned foreign enterprise (WOFE) or by setting up a joint venture with a domestic Chinese partner, both of which are included in the FIE trade shares.17 Unfortunately, China Customs Records do not provide enough information to identify separately flows originating in American firms operating in China, although the related- party trade reported above provides a useful upper bound on the extent of that activity. Applying the China Customs shares to US import data in each HS6 sector provides an estimated share of Chinese exports to the United States originating in FIEs.18 For shares at an industry level, each HS6 sector is mapped to a unique NAICS code, resulting in the FIE shares shown in column 3 of table 2 for the five patent-intensive NAICS sectors.19 More than half of US imports in each sector, except chemicals, originates in an FIE. In the most patent-intensive sector, computer and electronic products, 68 percent of US 16. While this distinction is interesting, as some differences in behavior have been found depending on investor origin country, in fact any investment made through a Hong Kong– based affiliate, even if the affiliate is owned by a non-Chinese parent, is labeled an HMT enterprise. 17. One aspect of the Section 301 investigation is the conten- tion that China forces investors to transfer technology to domestic partners within joint ventures. We do not have in- formation on the share of trade in each sector that originates in joint ventures between a domestic Chinese enterprise and a foreign enterprise. 18. US trade data are from the US International Trade Commission’s Dataweb, https://dataweb.usitc.gov/. Concordance between different versions of HS provided by Pierce and Schott (2012). 19. The concordance used to map between HS and NAICS is provided by Pierce and Schott, “A Concordance Between Ten-Digit U.S. Harmonized System Codes and SIC/NAICS Product Classes and Industries,” http://faculty.som.yale.edu/ peterschott/files/research/papers/hs_sic_38.pdf. imports come from multinational firms operating in China. FIEs in China are a significant source of US imports of nonelectrical machinery (65 percent), electrical equipment, appliances, and components (63 percent), and miscella- neous manufactured goods (60 percent). Column 4 in table 2 shows estimated shares of imports that originate in HMT-funded enterprises. But because total FIE shares may include investment by mainland Chinese firms through Hong Kong, as when so-called round-tripping of investment occurs, table 2 also provides estimated shares of imports that originate in foreign-funded (i.e., non-HMT) enterprises (column 5). Interestingly, at least one-half to two-thirds of FIE exports to the United States come from these non-HMT foreign-funded affiliates. For example, of the 68 percent of computer and electronics imports that originate in FIEs, foreign-funded enterprises account for almost two-thirds (44.31/68.09). Given historical patterns of foreign direct investment, Japanese, American, South Korean, and European multinational firms primarily own these affiliates. In short, these are exports of US foreign affiliates or of US military and political allies. TARGETED CHINESE EXPORTS ORIGINATE IN FOREIGN AFFILIATES It is possible that particular products within these sectors are less likely to originate in FIEs than suggested by our analysis of the sector’s trade as a whole. This possibility is of interest, given the stated objective of USTR to aim tariffs at Chinese firms benefitting from allegedly misappropriated American technology. As shown in table 3, column 1, the share of imports from China potentially subject to new US tariffs varies widely by sector. These shares are small, except for NAICS 333, nonelectrical machinery, where about one-third of imports from China are potentially subject to taxation. Perhaps these differences reflect USTR’s focus on Chinese producers, which is missed when examining shares of all trade in the sector.
  • 7. 7 PB 18-12 May 2018 To investigate this possibility, we use the FIE shares taken from China Customs Records, as described above, to estimate the share of targeted products within these sectors that originate in foreign affiliates. As shown in table 3, column 2, except for chemicals, targeted imports are sourced primarily from foreign affiliates operating in China. Indeed, the share of targeted imports in computers and electronic products is overwhelmingly from multinational subsidiaries: We estimate that 86 percent of these targeted imports come from FIEs. Another possibility is that Section 301 tariffs tax exports to the United States of joint ventures operating in China. USTR might pursue such a strategy if joint ventures are seen as a main vehicle through which technology is misappropri- ated. US tariffs on joint venture exports, therefore, could be considered a justifiably targeted response to Chinese technology-appropriating behavior. Whatever the validity of such logic, however, joint ventures probably provide only a small share of high- technology imports from China. While no information is available on the joint venture share of Chinese exports to the United States alone, China provides such information for its overall high-tech exports to the world, which can illuminate this point. Chinese statisticians identify five manufacturing sectors as high-tech: medicines; aircraft and spacecraft; electronic and communication equipment; computers and office equipment; and medical and measuring instrument.20 There is a large overlap between these categories and the patent-intensive sectors identified by the US Department of Commerce (2012). Figure 1 shows the share of total exports from these sectors that originates in foreign-invested equity joint ventures and in wholly owned foreign enterprises. In 2013, only 17 percent of total high-tech exports originated in joint ventures. The largest share, 55 percent, originated in WOFEs. Given that trends in the WOFE share of new direct investment from the United States are similar to those of other source countries, it is likely that WOFEs dominate FIE exports of high-tech goods to the United States. SECTION 301 TARIFFS TAX INPUTS FOR AMERICAN MANUFACTURERS Trump tariffs largely tax the exports of foreign enterprises op- erating in China, whether US-owned or with parents domi- ciled in other advanced economies (all US allies). The Trump administration may be sanguine about the pain inflicted by 20. In a 2013 revision, the manufacture of electronic chemi- cals was added to this list. 0 10 20 30 40 50 60 70 80 90 100 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Equity joint ventures Wholly owned foreign enterprises percent Figure 1 Share of exports by wholly foreign-owned enterprises and equity joint venture in high-tech manufacturing, 2002–13 Source: Ministry of Commerce (2016, 47), with translation and formatting by Zixuan Huang, PIIE.
  • 8. 8 PB 18-12 May 2018 4 Table 4 Distribution of targeted trade value and estimated share of targeted trade originating in a foreign-invested enterprise, by broad economic category, 2017 (percent) Broad economic category Distribution of targeted value across categories Estimated share of targeted value in category that comes from FIEs 1. Food and beverages 0 0 2. Industrial supplies not elsewhere specified 7.28 44.36 3. Fuels and lubricants 0 0 4. Capital goods (except transportation equipment), and parts and accessories 72.85 70.27 41. Capital goods (except transportation equipment) 43.43 74.41 42. Parts and accessories 29.42 64.16 5. Transportation equipment and parts and accessories 8.55 63.22 6. Consumer goods not elsewhere specified 11.3 75.61 7. Goods not elsewhere specified 0.03 51.01 Sources: Trade values translated from Harmonized Schedule (HS) categories to United Nations’ classification of broad economic categories using the concordance found at https://unstats.un.org/unsd/trade/classifications/ correspondence-tables.asp. Share of targeted value from foreign-invested (FIEs) is the estimated share of targeted trade value shipped from FIEs operating in China, including those registered in Hong Kong, Macau, and Taiwan. its proposed tariffs on the affiliates of allies, but it should be concerned at least about potential damage on American busi- nesses and their employees. US firms rely on global supply chains to remain internationally competitive. To the extent that the tariffs land directly on productive inputs, they raise the cost of manufacturing goods in the United States, push American firms offshore, and handicap US-based exporters selling in foreign markets. Given the unilateral nature of the proposed tariffs, competitors based in other countries will not face the same taxes on their production and inputs. To investigate the extent to which the proposed Section 301 tariffs land on capital and intermediate goods purchased by US-based producers, targeted tariff lines can be viewed through the lens of the United Nations’ broad economic categories (BEC).21 The BEC groups transportable goods according to their main end use, separating consumer goods from other products. The largest targeted trade value is in BEC category 4 (table 4, column 1).22 Capital goods, parts, and accesso- ries are most likely to be subject to new taxes. This broad category can be further divided into two subgroups: Capital goods account for 43 percent of the targeted value, and parts and accessories account for 29 percent of the total. As shown in table 4, column 2, targeted imports over- whelmingly come from FIEs. An estimated 74 percent of targeted capital goods come from FIEs and an estimated 64 21. We use the United Nations’ concordance to take the HS data into the BEC, https://unstats.un.org/unsd/trade/clas- sifications/correspondence-tables.asp. 22. These estimates rely on China Customs Records data, as described above. percent of targeted parts and accessories come from FIEs. It is, therefore, fair to describe the tariffs as taxes on American productive inputs purchased from affiliates of foreign firms operating in China, many of them wholly owned foreign subsidiaries. Manufacturers from other advanced econo- mies, such as Germany, Japan, or South Korea, will be able to purchase their capital goods and supplies from China untaxed and use them to build final goods that compete directly with American producers thus disadvantaged by the Trump tariffs. CONCLUSION: TRUMP’S SECTION 301 TARIFFS ARE AN OWN GOAL The evidence overwhelmingly supports the conclusion that the proposed Section 301 tariffs target multinational supply chains. They drive up costs for US-based manufacturers and disadvantage American workers competing in global markets. The tariff lines marked by USTR do capture trade in high-technology goods. Information from China Customs Records, however, suggests that much of this trade originates in foreign-invested enterprises, the Chinese-based affiliates of multinational firms. Moreover, because the targeted products are largely capital and intermediate goods used for domestic production, the Section 301 tariffs are taxes on manufacturing in America. Global trade patterns present American policymakers with two unavoidable features of the commercial landscape. First, given China-US trade patterns, any proposal that affects a substantial share of bilateral trade will hit high-tech- nology supply chains, which US multinational companies utilize to produce high-value added innovative and profit- able services and inputs. Second, any proposal that includes
  • 9. 9 PB 18-12 May 2018 tariffs on a substantial share of trade will negatively affect the Chinese operations of Americans or American allies. In both ways, the tariffs spell trouble for American businesses and foreign relations. President Trump’s Section 301 tariffs are a commercial own goal in that they harm American interests more than their intended targets. That the tariffs fail to hurt Chinese firms directly should not be a surprise. There remains an enormous knowledge gap between China and the United States, even if this gap is closing. Indeed, without this gap, allegations of technology misappropriation and theft would make no sense. USTR’s desire to use trade policy to hurt the recipients of China’s industrial policy must be consid- ered in light of this reality. Made in China 2025 remains an aspiration, not a reflection of current manufacturing prowess. It is impossible to hit tomorrow’s exports with today’s tariffs. President Trump’s Section 301 tariffs are a prime example of 20th century tools aimed at the knowledge- embodying trade flows of the 21st century. Tariffs and quotas are ineffective at stemming knowledge flows between innovative countries and developing nations. Beyond the immediate damage to American competitiveness, trade restrictions push high-technology firms to locate elsewhere in the future. Tariffs can diminish trade flows, but ideas are easily relocated. American workers would bear the burden if high-value activity moves offshore due to the ill-conceived tariffs of the Trump administration. REFERENCES Autor, David H., David Dorn, and Gordon H. Hanson. 2013. The China Syndrome: Local Labor Market Effects of Import Com- petition in the United States. American Economic Review 103, no. 6: 2121–68. Baldwin, Richard. 2016. The Great Convergence: Informa- tion Technology and the New Globalization. Cambridge, MA: Belknap Press of Harvard University Press. Ministry of Commerce. 2016. 2016 Report on Chinese Foreign Investment. Beijing. Moran, Theodore H., and Lindsay Oldenski. 2016. How Off- shoring and Global Supply Chains Enhance the Global Econo- my. PIIE Policy Brief 16-5. Washington: Peterson Institute for International Economics. Oldenski, Lindsay. 2014. Offshoring and the Polarization of the US Labor Market. Industrial and Labor Relations Review 67 (May). Pierce, Justin R., and Peter K. Schott. 2012. Concording U.S. Harmonized System Codes over Time. Journal of Official Sta- tistics 28, no. 1: 53–68. Available at www.justinrpierce.com/ index_files/Pierce_Schott_JOS_2012.pdf. US Department of Commerce. 2012. Intellectual Property and the U.S. Economy: Industries in Focus. Washington: Econom- ics and Statistics Administration and US Patent and Trade- mark Office. Available at www.esa.doc.gov/sites/default/ files/ipandtheuseconomyindustriesinfocus.pdf. Van Assche, Ari. 2012. Global Value Chains and Canada’s Trade Policy: Business as Usual or Paradigm Shift? IRPP Study no. 32. Montreal, Quebec: Institute for Research on Public Policy. Available at http://irpp.org/research-studies/study-no32/.
  • 10. 10 PB 18-12 May 2018 © Peterson Institute for International Economics. All rights reserved. This publication has been subjected to a prepublication peer review intended to ensure analytical quality. The views expressed are those of the authors. This publication is part of the overall program of the Peterson Institute for International Economics, as endorsed by its Board of Directors, but it does not neces- sarily reflect the views of individual members of the Board or of the Institute’s staff or management. The Peterson Institute for International Economics is a private nonpartisan, nonprofit institution for rigorous, intellectually open, and indepth study and discussion of international economic policy. Its purpose is to identify and analyze important issues to make globalization beneficial and sustainable for the people of the United States and the world, and then to develop and communicate practical new approaches for dealing with them. Its work is funded by a highly diverse group of philanthropic foundations, private corporations, and interested individuals, as well as income on its capital fund. About 35 percent of the Institute’s resources in its latest fiscal year were provided by contributors from outside the United States. A list of all financial supporters is posted at https://piie.com/sites/default/files/supporters.pdf. 5 Table A.1 US patent-intensive industries, by NAICS code NAICS code Industry title 3251 Basic chemical manufacturing 3252 Resin, rubber, and artificial fibers 3253 Agricultural chemical manufacturing 3254 Pharmaceutical and medicine manufacturing 3255 Paint, coating, and adhesive manufacturing 3256 Soap, cleaning compound, and toiletries 3259 Other chemical product and preparations 3331 Agriculture construction, and mining machinery manufacturing 3332 Industrial machinery manufacturing 3333 Commercial and service industry manufacturing 3334 HVAC and commercial refrigeration 3335 Metalworking machinery manufacturing 3336 Turbine and power transmission equipment manufacturing 3339 Other general purpose machinery manufacturing 3341 Computer and peripheral equipment 3342 Communications equipment manufacturing 3343 Audio and video equipment manufacturing 3344 Semiconductor and electronic component manufacturing 3345 Electronic instrument manufacturing 3346 Magnetic media manufacturing and reproducing 3351 Electric lighting equipment manufacturing 3352 Household appliance manufacturing 3353 Electrical equipment manufacturing 3359 Other electrical equipment and components 3391 Medical equipment and supplies manufacturing 3399 Other miscellaneous manufacturing Source: US Department of Commerce (2012). Adapted from table 10 on pages 36–38. APPENDIX