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ESSAYS ON ISSUES

THE FEDERAL RESERVE BANK
OF CHICAGO

NOVEMBER 2000
NUMBER 159

Chicago Fed Letter
Structural change and
cyclicality of the auto
industry
The auto industry is quite concentrated geographically, with the Seventh
District being home to about 37%
of the industry’s light vehicle output.
The industry is also known for being
highly cyclical, a characteristic it
shares with most other durable goods
industries. However, during the last
decade or so, the auto sector has
undergone a number of structural
changes. This Chicago Fed Letter identifies these changes and discusses how
they might affect the industry’s and
possibly the region’s response to a
slowdown in economic activity.
By some measures, the auto industry’s spatial concentration has even
increased over the last 20 years, as
coastal light vehicle assembly plants
have mostly shut down and new
plants have opened in the heart of
the country. The core of the industry,
generally referred to as the auto corridor, encompasses a fairly compact
region that extends from Detroit west
to Chicago and south to Tennessee.
It is home to approximately two-thirds
of the industry’s plants and employment (see figure 1). Within that region, independent supplier plants
in turn are more dispersed than

company-owned parts plants, which
tend to concentrate in southern
Michigan as well as northern Ohio
and Indiana. In addition, supplier
plants that have opened since 1980
are concentrated more in the corridor’s southern half, as well as in
nonmetropolitan counties, than
older plants.
Figure 2 illustrates the industry’s
cyclical nature. Graphing the annual
growth rate of real gross domestic
product (GDP) as well as the annual
growth rate of motor vehicle output
for the last 20 years, the figure clearly shows the amplitude of the motor
vehicle cycle to be higher than that
of the GDP cycle.
Changing supply chain

Most prominent among structural
changes within the industry ranks
the widespread application of lean—
or just-in-time—manufacturing, with
its emphasis on streamlining and improving linkages across the supply
chain. Instead of organizing production according to a preset schedule,
lean manufacturing operates on the
premise of a so-called pull system,
whereby the flow of materials and
products through the various stages
of production is triggered by the customer. As a result, inventory buffers
within the production system are
much smaller today
then they were even
1. Auto corridor’s share of the industry, 1997
ten years ago. Showcasing the extent of these
% plants
% employment
tight linkages, in summer 1998 a strike at
Light vehicle assembly
two of General Motors’
and captive suppliers
72
70
(GM) own component
plants shut down virtuIndependent suppliers
68
60
ally its entire network
Note: Auto corridor defined as Illinois, Indiana, Kentucky,
of assembly plants in
Michigan, Ohio, Tennessee, and Wisconsin.
North America within
Source: ELM database; state manufacturing directories.
three weeks.

2. Annual change in output
year over year percent change, 1976-99
20

10

GDP
0

-10

Motor
vehicle output
-20
1977

’80

’83

’86

’89

’92

’95

’98

Source: U.S. Department of Commerce, Bureau of
Economic Analysis and Ward’s Automotive Reports.

This reduced level of inventories, both
within assembly plants and along the
entire supply chain, is expected to
influence the industry’s response to
a sales slowdown.
Specifically, such tighter production
linkages would affect the industry’s
cyclicality in two ways. First, they
would increase the speed at which
slower sales would work their way
back through the entire production
chain simply because of the widespread
elimination of inventory buffers. In
other words, having demand and its
fluctuations more closely linked to the
supply chain would reduce the extent
of unplanned inventory building at
the various stages of the production
process. Second, tighter production
linkages would seem to reduce the industry’s cyclicality, because they leave
less opportunity for inventories to
build up and, thereby, amplify initial
changes in demand into larger changes
in production.
In addition to tightening the supply
chain, the industry has moved to an
environment in which a larger share
of the input to the automobile is produced by independent suppliers, as

opposed to assembler-owned facilities. Along with that change came a
greater reliance by assembly companies on a relatively small number of
so-called first-tier suppliers, i.e., companies that interact directly with the
assembler. Hence, the fortunes of
assembler and supplier companies
have become more strongly linked
in the wake of implementing such a
streamlined supply chain. Thus, the
recent brief shutdown of several Ford
assembly plants in conjunction with
the Firestone tire recall rather quickly
led to reduced production and layoffs
at some of Ford’s key suppliers.1
To assess the regional impact of production cutbacks in light of today’s
industry structure, one not only needs
to know the spatial distribution of assembly and supplier plants but also
to understand in some detail the nature of the linkages between suppliers
and assembly plants. Yet, there is very
little information available to document specific production linkages
between individual supplier plants
and assembly plants. A study that analyzes the spatial distribution of supplier networks of ten individual assembly
plants points to a regional rather than
local extension of supplier linkages
in today’s industry.2 The study suggests
that, on average, it is sufficient for
a supplier to be within a day’s drive
of its assembly plant customers rather
than in their immediate vicinity. Tight
clustering around assembly plants is
observed only for specific parts, such
as seats, that disproportionately affect
inventory costs. Hence, any assembly
plant’s slowdown is likely to have regionwide ripple effects, concentrated
within a 400-mile radius, since between
half and two-thirds of the plant’s supplier base is likely to be located within
this distance.
Implementation of lean manufacturing has also changed the role of assembly plants, the final step in the
production of a car or light truck.
Plants have become more nimble in
terms of their production set-up and
are now able to produce multiple car
models—generally based on a single
platform—on the same assembly line.
Being able to adjust the product mix

without having to shut down the plant
enables production at a given assembly
plant to respond more quickly to
changes in demand and, therefore,
makes it less dependent on a single
market segment. This ability to quickly
adjust the output mix would seem
to reduce the unplanned build-up
of finished products. This would have
the effect of making cyclical downturns less pronounced.
Changing labor force
Structural changes also extend to the
labor market characteristics of the
industry. First, the use of overtime
in the industry grew considerably
between 1992 and 1994 and has remained at rather high levels since then
(see figure 3). That suggests that increases in demand since the mid-1990s
have been met to some extent by using
existing production facilities more intensively, with a notable number
of plants operating on three shifts.
Hence, it would seem that the industry is currently in a position to meet a
possible sales slowdown with a reduction of overtime rather than an immediate reduction in employment.
Second, and probably of longer-term
relevance, the composition of employment between hourly and salaried
workers has been changing. During
the last 15 years the percentage of
white-collar workers among the Big
Three has been steadily increasing—
to just over 30% in 1999.3 This reflects
two underlying trends. First, growth
in blue-collar payrolls at assembly
companies has been constrained by
productivity increases within assembly
plants, as well as by the larger extent
to which work is now being contracted
out to independent suppliers. For
example, earlier this year GM broke
ground on the second of two new assembly plants to be built in Lansing,
Michigan, a location where the company has had a major presence for
many decades. The new facility is
patterned on GM’s most productive
lean facilities. Once completed, it
will take up less than half the space
and require just under half the number of hourly workers than the plant
it replaces.

3. Production workers’ overtime
average weekly hours
8

6

4

Motor vehicles
and equipment
2

0
1978

’83

’88

’93

’98

Source: U.S. Department of Labor.

At the same time, the technology
content of a finished vehicle has risen
considerably. A standard industry
database identifies 21 different types
of sensors in cars, ranging from airbag
sensors to temperature sensors.4 One
of the most interesting applications
has been the transformation of the
rear-view mirror into a high-tech
part.5 Today, mirrors are available
that dim automatically when bright
headlights shine from behind. That
is being done by combining a light
sensor with a film of electrochromic
material. While this is a far cry from
the way we tend to think of mirrors,
leading suppliers are trying to pack
even more technology into the mirror by making it the portal for in-car
communications. Such increases in
the share of technology content raise
the share of white-collar workers required to engineer and produce vehicles. If past experience is any guide,
this development is likely to dampen
the industry’s cyclicality, since bluecollar jobs tend to be more exposed
to the industry’s cycles than whitecollar jobs.
The increasing share of white-collar
jobs is not necessarily restricted to
assembly companies. Tier 1 suppliers
are now performing a larger share of
design and engineering of the vehicle
as opposed to bidding on contracts for
prespecificed parts. This requires them
to have a larger research and engineering staff in-house. However, these
trends are much harder to document
for the supplier industry, which is notoriously hard to track in general.

4. Top 5 auto counties, 1997
State

County

Michigan
Michigan
Michigan
Michigan
Indiana

Wayne
Macomb
Oakland
Genesee
Madison

Employees
62,594
43,312
34,832
32,630
26,917

According to a list published earlier this year by the trade weekly,
Automotive News, half of the 150
largest auto parts supplier companies are headquartered in Michigan.
On balance, this suggests that despite the industry’s continued concentration in the state, next time
Detroit sneezes, the cold Michigan
catches won’t be quite as severe.

Source: ELMGuide database; and state
manufacturing directories.

100,000

The auto industry has undergone a
number of structural changes during
the last 20 years. It seems that, on
balance, these developments would
tend to alter the industry’s response
to a slowdown by making it somewhat
less cyclical. What is harder to gauge
is the regional impact of a sales slowdown, given the new structure of
the industry. At a regional level, the
industry certainly seems as spatially
concentrated as it has been for a long
time. Due to the spatial characteristics of supplier networks, the ramifications of a slowdown might be less
local within the auto corridor than,
say, 20 years ago. However, automobiles are durable goods and, as such,
are subject to larger fluctuations
than the overall economy (see figure
2). Finally, any analysis of the likely
effects of a sales slowdown hinges
critically on the specific characteristics of such a slowdown, such as its
duration, the number of market segments it affects, and its underlying
drivers. The range of possible scenarios is very wide, as indicated by the
variation in the capacity utilization
for the industry during the last two
decades: Capacity utilization reached
a low of 53.5% in 1982 and a high of
88.1% in 1999.

0

—Thomas Klier
Senior economist

5. Big 3 Michigan employment
number of employees
300,000

Hourly
Salaried
200,000

1985

1995

Source: Company reports.

1998

See Micheline Maynard, 2000, “The automotive ecosystem proves fragile,” New York Times,
September 24, p. BU 8.
2

Thomas Klier, 1999, “Agglomeration in the
U.S auto industry,” Economic Perspectives, Federal
Reserve Bank of Chicago, Quarter 1, pp. 18–34.
See also Geoffrey J. D. Hewings, Graham R.
Schindler, and Philip R. Israilevich, 1998,
“Interstate trade among Midwest economies,”
Regional Economics Applications Laboratory
and Federal Reserve Bank of Chicago, May.
3

Conclusion
To address the regional effects of the
changing work force, one needs to
keep in mind that not all states within
the auto corridor are exposed to the
auto industry in the same degree or
form. For example, Michigan continues to be the mainstay of the industry.
Figure 4 shows that four of the five
auto corridor counties with the highest
auto employment are located in southeastern Michigan. However, the underlying structure of Michigan’s auto
sector has changed as well. The Big
Three have shed almost 60% of their
hourly employment in the state since
1985. At the same time, the number
of salaried employees has almost doubled (see figure 5).6 Yet Michigan’s
role as a center for white-collar employment in the industry is not restricted to the assembler companies.

1

According to data cited in a presentation by
Sean McAlinden at the seventh annual outlook
symposium, Federal Reserve Bank of Chicago,
Detroit, June 2, 2000.
4

Data on sensors from ELMGuide supplier
database, 1997.
5

See Norihiko Shirouzu, 2000, “High-tech hotbed for carmakers: Lowly mirror,” Wall Street
Journal, August 24, p. B1.
6

This probably overstates Michigan’s reduced
exposure to hourly auto employment as supplier
employment has grown relative to assembler
employment in light of increased outsourcing.

Michael H. Moskow, President; William C. Hunter,
Senior Vice President and Director of Research; Douglas
Evanoff, Vice President, financial studies; Charles
Evans, Vice President, macroeconomic policy research;
Daniel Sullivan, Vice President, microeconomic policy
research; William Testa, Vice President, regional
programs and Economics Editor; Helen O’D. Koshy,
Editor; Kathryn Moran, Associate Editor.
Chicago Fed Letter is published monthly by the
Research Department of the Federal Reserve
Bank of Chicago. The views expressed are the
authors’ and are not necessarily those of the
Federal Reserve Bank of Chicago or the Federal
Reserve System. Articles may be reprinted if the
source is credited and the Research Department is
provided with copies of the reprints.
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the Public Information Center, Federal Reserve
Bank of Chicago, P.O. Box 834, Chicago, Illinois
60690-0834, tel. 312-322-5111 or fax 312-322-5515.
Chicago Fed Letter and other Bank publications are
available on the World Wide Web at http://
www.frbchi.org.
ISSN 0895-0164

Tracking Midwest manufacturing activity
Motor vehicle production (millions, seasonally adj. annual rate)

Manufacturing output indexes
(1992=100)

8.0

Aug.

Month ago

Year ago

166.9
151.3

168.0
151.2

156.0
142.5

Light trucks
CFMMI
IP

6.6

Motor vehicle production
(millions, seasonally adj. annual rate)
Cars
Light trucks

Sep.

Month ago

Year ago

5.9
7.0

5.7
6.7

5.8
6.9

Cars

5.2

Purchasing managers’ surveys:
net % reporting production growth
MW
U.S.

Sep.

Month ago

Year ago

56.8
52.1

49.1
48.7

56.9
61.0

3.8
1997

1998

Light truck production increased from 6.7 million units in August to 7.0 million
units in September. Car production also increased from 5.7 million units in
August to 5.9 million units in September.
The Chicago Fed Midwest Manufacturing Index (CFMMI) fell 0.6% from July to
August, reaching a seasonally adjusted level of 166.9 (1992=100). Revised data
show the index was at 168.0 in July, and had risen 0.1% from June. The Federal
Reserve Board’s Industrial Production Index for manufacturing (IP) increased
0.1% in August and July. The Midwest purchasing managers’ composite index
(a weighted average of the Chicago, Detroit, and Milwaukee surveys) for production increased to 56.8% in September from 49.1% in August. The index increased
in Chicago and Detroit, but declined slightly in Milwaukee. The national purchasing manager’s survey increased slightly from 48.7% to 52.1 during this period.

1999

2000

Sources: The Chicago Fed Midwest Manufacturing Index (CFMMI) is a composite index of 16
industries, based on monthly hours worked and
kilowatt hours. IP represents the Federal Reserve
Board’s Industrial Production Index for the U.S.
manufacturing sector. Autos and light trucks are
measured in annualized units, using seasonal adjustments developed by the Board. The purchasing managers’ survey data for the Midwest are
weighted averages of the seasonally adjusted production components from the Chicago, Detroit,
and Milwaukee Purchasing Managers’ Association
surveys, with assistance from Kingsbury International, LTD., Comerica, and the University of
Wisconsin–Milwaukee.

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