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US Exports and Employment Robert C. Feenstra University of California, Davis and NBER National Press Club, Washington, D.C., October 4, 2018

US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

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Page 1: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

US Exports and Employment

Robert C. FeenstraUniversity of California, Davis

and NBER

National Press Club, Washington, D.C., October 4, 2018

Page 2: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

Global Decline in Manufacturing

60

70

80

90

100

110

1980 1985 1990 1995 2000 2005 2010Year

United States Germany Japan

Employment in manufacturing (1980=100)

Page 3: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

Share of World Merchandise Exports

.02

.04

.06

.08

.1

.12

.14

1991 1996 2001 2006 2011Year

USA ChinaGermany Other emerging economiesJapan

Page 4: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

Ratio of Chinese imports to U.S. domestic consumption

.08

.1.1

2.1

4M

anuf

actu

ring

emp/

pop

0.0

1.0

2.0

3.0

4.0

5Im

port

pene

tratio

n

1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007Year

China import penetration ratioManufacturing employment/Population

Page 5: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

Defining Local Labor Markets: “Commuting Zones”

Based on commuting patterns among countries in 1990

Cluster all mainland U.S. counties in 722 commuting zones(CZ), characterized by strong commuting ties within a CZ andweak commuting across CZsCan map Census Public Use Micro Areas to CZs

Page 6: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

Impacts on Manufacturing Employment

0.4&%&

L0.1&%&

L0.9&%&

L0.7&%&

L1.00&%&

L0.80&%&

L0.60&%&

L0.40&%&

L0.20&%&

0.00&%&

0.20&%&

0.40&%&

0.60&%&

1970L1980& 1980L1990& 1990L2000& 2000L2007&

Percen

tage&Points&

Imports&From&China&and&Change&of&Manufacturing&Employment&in&CommuRng&Zones,&1970L2007&&

&Effect&of&an&$1000&Per&Worker&Increase&in&Imports&from&China&during&1990=2007&on&the&Change&in&Manufacturing&Employment&as&a&Percentage&of&the&Working&age&PopulaCon&

Page 7: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

Impacts on Manuf Emp, Non-Manuf Emp, Unemp, NILF

0.2&%&

0.1&%&

0.3&%&

0.6&%&

0.3&%&

0.8&%&

L0.2&%&

0.0&

0.2&

0.4&

0.6&

0.8&

1.0&All&EducaRon&Levels& College&EducaRon& No&College&EducaRon&

Imports&from&China&and&Employment&Status&of&Working&Age&PopulaRon&within&CommuRng&Zones&(1990L2007)&&

&Effect&of&an&$1000&Per&Worker&Increase&in&Imports&from&China&during&1990=2007&on&Share&

of&PopulaCon&in&Employment&Categories&&

Unemployment& Not&in&Labor&Force&

Page 8: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

Wage Impacts: Modest but not TrivialWages Fall Primarily Outside Manufacturing Sector

L0.9&%&

L1.0&%&

L0.7&%&

L0.6&%&

L0.5&%&

L1.1&%&L1.2&%&

L1.0&%&

L0.8&%&

L0.6&%&

L0.4&%&

L0.2&%&

0.0&%&All&EducaRon&Levels& College&EducaRon& No&College&EducaRon&

Percen

tage&Points&Imports&from&China&and&Wage&Changes&within&CommuRng&Zones&

(1990L2007)&&&

Effect&of&an&$1000&Per&Worker&Increase&in&Imports&from&China&during&1990=2007&on&Percent&Change&in&Weekly&Wages&&&

Males& Females&

Page 9: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

Research on the ‘China Shock’:

“The China Syndrome,” American Economic Review, 2012, David Autor, David Dorn, Gordon Hanson (ADH)

Response: What about job gains due to US exportsor other gains for consumers?

1) “US Exports and Employment”, Robert Feenstra, Hong Ma and Yuan Xu, NBER w24056, 2017

2) “The ‘China Shock’, Exports and US Employment: A Global Input-Output Analysis” Robert Feenstra and Akira Sasahara, NBER w24022, 2017

3) What about consumer gains due to lower prices from Chinese imports to the US?

Page 10: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

Accounting for US global export expansionI Prior to the global financial crisis, US exports grew strongly.

I Comparison:2007 US total imports: 2,017 Bn$; imports from China:340 Bn$ 3 / 34

Page 11: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

Regions subject to import penetration also experiencedexport expansion

6 / 34

Page 12: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

Export Expansion on Local Manufacturing Employment

∆Lmit = βt + β1∆IPCZit + β2∆EPCZ

it + γXCZit0

+ γr + eit ,

Dep. var: changes in mfg employment-workingage population ratio(1) (2) (3) (4)

1991-2007 1991-2011∆ Imports -1.955*** -1.243*** -2.270*** -1.292***

(0.172) (0.208) (0.255) (0.267)

∆ Exports 0.313* 0.790*** 0.333* 0.916***(0.180) (0.279) (0.193) (0.275)

share of mfg employment t-1 -1.130*** -1.218***(0.287) (0.235)

Observations 1444 1444 1444 1444Kleibergen-Paap rk Wald F stat 24.03 13.25 17.06 10.57

I Also control for start of period commuting zone leveldemographic and economic conditions.

25 / 34

Page 13: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

Quantify the results

I illustate the quantitative results:

28 / 34

Page 14: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

Quantify the resultsI Industry employment changes due to trade shocks

(1991-1999).

16 / 34

Page 15: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

Quantify the results

I Industry employment changes due to trade shocks(1999-2011).

17 / 34

Page 16: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

Quantify the results

29 / 34

Page 17: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

1) US Exports and Employment

US Exports and Employment”, Robert Feenstra, Hong Ma and Yuan Xu, NBER w24056, 2017

Findings:

• About 0.3 million net jobs lost comparing US imports from China with US global exports, over 1991-2011

• But 1.3 million net losses in recent years 1999-2011!

• Key industries (electronics, machinery, transport, etc.) impacted during the later period

• Correlation between job gains and losses within CZ has fallen from 0.5 (1991-1999) to 0.2 (1999-2011)

Page 18: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

2) Using a global input-output analysis

“The ‘China Shock’, Exports and US Employment: A Global Input-Output Analysis” Robert Feenstra and Akira Sasahara, NBER w24022, 2017

Findings:

• Confirm the 2 million job gains within manufacturing due to US global exports over 1995-2011, and about 2 million job losses due to imports from China

• But there are a further 4 million job gains in services due to US global exports (services & manufacturing), within small job losses due to service imports

• There are 4 million more jobs created by US exports than by US imports, once we account for services!

Page 19: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

29 Figure 1: The Structure of the Global Input-Output Table – A Three Country Case

Notes: The Global Input-Output Table comes from the EORA database. The original EORA table includes 189 countries. However, we re-construct the table with 52 countries including the rest of the world as one country. See the Appendix for the list of the countries. This figure shows the case with four countries for simplicity. Also, there are 26 sectors and six final demand categories. A big sub-matrix in the left indicated by a red box (denoted as matrix T) is the matrix for intermediate good flows and. Another big sub-matrix in the right (denoted as matrix F) is the matrix for final good flows. Diagonal boxes in matrices T and F indicate domestic transactions within each country while the rest of the boxes are international transactions. See Lenzen et al. (2012) and Lenzen et al. (2013) for further details.

Country A Country B China6 final demand

categories6 final demand

categories6 final demand

categories

Matrix T Matrix F

Destination Source

Country A Country B China

Sectors 1, 2, …, 26 Sectors 1, 2, …, 26 Sectors 1, 2, …, 26

Final goods produced and consumed by

Country A

Final goods produced by

Country A and consumed by

Country B

Final goods produced by

Country A and consumed by

China

Country B

Sector 1Sector 2 ⋮Sector 26

Intermediate goods produced by Country

B and used by Country A

Intermediate goods produced and used

by Country B

Intermediate goods produced by Country B and used by China

Country A

Sector 1Sector 2 ⋮Sector 26

Intermediate goods produced and used

by Country A

Intermediate goods produced by Country

A and used by Country B

Intermediate goods produced by Country A and used by China

China

Sector 1Sector 2 ⋮Sector 26

Intermediate goods produced by China

and used by Country A

Intermediate goods produced by China

and used by Country B

Intermediate goods produced and used

by China

Final goods produced by China and

consumed by Country A

Final goods produced by China and

consumed by Country B

Final goods produced and consumed by

China

Final goods produced by

Country B and consumed by

Country A

Final goods produced and consumed by

Country B

Final goods produced by

Country B and consumed by

China

Page 20: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

8/20

Quantifying the Employment Effect of Export Expansion

Table 3: Employment Effect of U.S. Merchandise versus ServiceExports, 1995-2011 (million workers)

Table 2: Employment Effect of U.S. Merchandise versus

Service Exports, 1995-2011 (million workers)

The impact of final

and intermediate

good exports from

all sectors

Decomposition

The impact of final

and intermediate

good exports from

merchandise

sectors

The impact of final

and intermediate

good exports from

service sectors

Manufacturing 1.99 1.94 0.053

Resource 0.46 0.45 0.015

Services 4.11 1.34 2.78

All Sectors 6.57 3.73 2.85

Notes: Numbers reported are the employment effect measured in million workers. Positive numbers mean

increased labor demand while negative numbers indicate reduced labor demand.

Page 21: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

5/20

Summary of the Results

Table 1: Summary of the Results, 1995-2011

Merchandise

import

penetration

from China,

OLS

Merchandise

import

penetration

from China,

IV

Exports to all

countries

versus

imports from

China, OLS

Exports to all

countries

versus imports

from China,

IV

(1) (2) (3) (1)+(2) (1)+(3)

Manufacturing 1.99 -1.43 -1.24 0.56 0.75

Resource 0.46 -0.053 -0.050 0.407 0.41

Services 4.11 -0.56 -0.47 3.55 3.64

Total 6.57 -2.04 -1.76 4.53 4.81

Export

expansion to

all countries

Import penetration Net effects

Previous estimates

I Export expansion added 1.9 million manufacturing jobs during1991-2007 (Feenstra, Ma and Xu, 2017)

I Import penetration from China led to 2.0 million job losses during1999-2011 (AADHP, 2016)

Page 22: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

3a) Consumer Gains for the US

“How Did China’s WTO Entry Benefit US Consumers?,” Mary Amiti, Mi Dai, Robert Feenstra, John Romalis,NBER w23487, 2017

Findings:

• An important part of China’s boost in exports since 2001 was rising productivity of its firms due to its own tariff cuts on intermediate imports (and WTO entry)

• This boost in productivity explains a 1 percentage point drop in US price index over 7 years, 2000-2007

• The boost in productivity and lower prices for inputs both led to declines in Chinese export prices, which were magnified in the US by the drop in other prices.

Page 23: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

3b) Consumer Gains for the US

“Trade and Labor Market Dynamics,” Lorenzo Caliendo, Maxim. Dvorkin, Fernando Parro, NBER w21149, 2015

Findings:

• About 0.8 million manufacturing jobs lost due to the doubling of Chinese imports over 2000-2007 (modeled as due to the productivity increase)

• Despite these job losses, positive gains in welfare: aggregate gains of 0.6% of GDP in the long run

• The transition costs of unemployment subtract one-quarter from the long-run gains

• Effects are very dispersed across industries/regions

Page 24: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

Manufacturing Employment Effects

Figure: Sectoral contribution to the change in manuf. employment

-5

0

5

10

15

20

25

30

Perc

enta

ge c

hang

e

Food

, Bev

., To

b.

Text

iles

Woo

d, P

aper

Petro

leum

, Coa

l

Che

mic

als

Plas

tics,

Rub

ber

Non

met

allic

Met

al

Mac

hine

ry

Com

pute

r, El

ect.

Tran

spor

t Mfg

.

Furn

iture

Mfg

.

Back

Caliendo, Dvorkin and Parro (2015) ()Trade and Labor Markets Dynamics August 13, 2015 34 / 24

Page 25: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

Manufacturing Employment Effects

Figure: Regional contribution to the change in manuf. employment

0

2

4

6

8

10

12

14

Perc

enta

ge c

hang

e (%

)

Alab

ama

Alas

ka

Ariz

ona

Arka

nsas

C

alifo

rnia

C

olor

ado

Con

nect

icut

D

elaw

are

Flor

ida

Geo

rgia

H

awai

i Id

aho

Illin

ois

Indi

ana

Iow

a Ka

nsas

Ke

ntuc

ky

Loui

sian

a M

aine

M

aryl

and

Mas

sach

uset

ts

Mic

higa

n M

inne

sota

M

issi

ssip

pi

Mis

sour

i M

onta

na

Neb

rask

a N

evad

a N

ew H

amps

hire

N

ew J

erse

y N

ew M

exic

o N

ew Y

ork

Nor

th C

arol

ina

Nor

th D

akot

a O

hio

Okl

ahom

a O

rego

n Pe

nnsy

lvan

ia

Rho

de Is

land

So

uth

Car

olin

a So

uth

Dak

ota

Tenn

esse

e Te

xas

Uta

h Ve

rmon

t Vi

rgin

ia

Was

hing

ton

Wes

t Virg

inia

W

isco

nsin

W

yom

ing

Back

Caliendo, Dvorkin and Parro (2015) ()Trade and Labor Markets Dynamics August 13, 2015 35 / 24

Page 26: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

Welfare Effects Across Labor Markets

Figure: Welfare changes across labor markets

0.3 0.4 0.5 0.6 0.7 0.8 0.9 10

10

20

30

40

50

60

70

80

Percentage change

Den

sity

Note: Largest and smallest 5 percentile are excluded

Very heterogeneous response to the same aggregate shockI Loses are concentrated in a few labor markets, but most labor marketsgain as a consequence of cheaper imports from China

Caliendo, Dvorkin and Parro (2015) ()Trade and Labor Markets Dynamics August 13, 2015 21 / 24

Page 27: US Exports and Employment · Mary Amiti, Mi Dai, Robert Feenstra, John Romalis, NBER w23487, 2017. Findings: • An important part of China’s boost in exports since 2001 was rising

• A number of studies have confirmed job losses in due to US manufacturing imports from China ranging from 2-4 million, depending on the time period

• But US manufacturing exports have also added 2-4 million job, while US service exports added 4 million!

• So job gains due to US exports substantially offset the losses due to imports from China, until recently.

• US global imports and exports, including the ‘China shock’, leads to consumer gains that can be shown to offset the (frictional) losses due to unemployment.

Conclusions: