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NOVEMBER/DECEMBER 1995

ECONOMIC PERSPECTI
A review from the
Federal Reserve Bank
of Chicago

The g e o g ra p h y o f lean m a n u fa c tu rin g :
R ecent e v id e n c e fro m th e
U .S. a u to in d u s try
In dex fo r 1 9 9 5
C an a lte rn a tiv e fo rm s o f g o vern a n c e
help m e tro p o lita n areas?

EDERAL RESERVE BANK
OF CHICAGO



Call for
>e; s
1996 Conference on
Bank Structure
& Competition

Contents
The geography of lean manufacturing:
Recent evidence from the
U.S. auto industry..............................................................................................

2

Thom as H. K lier

This article presents new evidence on the emerging geographic
structure of supplier plants in the U.S. auto industry.
It appears that domestic and transplant suppliers respond
somewhat differently to the forces of lean manufacturing.

Index for 1 9 9 5 ..................................................................................................... 17

Call for papers..............................................................................................18
Can alternative forms of governance
help metropolitan areas?.............................................................................20
Richard H. M a tto o n

There is growing interest in creating regional governments
to guide metropolitan-area growth more efficiently. This
article reviews the evidence in favor of regional gover­
nance and discusses the experiences of three midwestern
metropolitan areas that have used differing forms of it to
help define their growth.

hCONOMIC I^KiRS

IYF]S

President
Michael H. Moskow

Senior Vice President and Director of Research
William C. Hunter
R esearch D e p a rtm e n t

Financial Studies

Douglas Evanoff, Assistant Vice President
Macroeconomic Policy

Charles Evans, Assistant Vice President
Kenneth Kuttner, Assistant Vice President
Microeconomic Policy

Daniel Sullivan, Assistant Vice President
Regional Programs

David R. Allardice, Senior Vice President
Adm inistration

Anne Weaver, Manager
Editor

Janice Weiss
Production

Rita Molloy, Kathryn Moran, Yvonne Peeples,
Roger Thryselius, Nancy Wellman




IMovember/December, 1995 Volum e XIX, Issue 6

ECONOMIC PERSPECTIVES is published by
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the management of the Federal Reserve Bank.
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ISSN 0164-0682

The geography of lean manufacturing:
Recent evidence from the
U.S. auto industry

T h o m as H. K lier

Since lean manufacturing was
pioneered by Toyota Motor
Company in the 1950s, it has
become the standard practice
of many Japanese manufactur­
ing companies. During the last decade Ameri­
can manufacturers started to adopt it in order to
compete effectively at home and abroad, and it
is fast becoming the standard in manufacturing
plants across the country. Lean manufacturing
is characterized by an emphasis on product
quality, an integrated approach to the various
aspects of manufacturing, reliance on subcon­
tractors to produce a greater proportion of the
value added, and an emphasis on speed in
order processing, production, and delivery.
One central feature of the system is the tiering
of the supplier structure, which greatly reduces
the number of companies the assembler deals
with directly. Another feature is close relation­
ships and frequent interactions between assem­
blers and suppliers.1
It has been argued that efforts to reduce
inventory stocks and arrange for “just-in-time”
delivery function most effectively when the
supplying and receiving plants are in reason­
ably close proximity.2 The concomitant in­
crease in the frequency of interaction and com­
munication between assembler and supplier
companies is expected to strengthen that effect
further.3 On the other hand, there is some
evidence that spatial clustering is not a neces­
sary condition for the successful operation of
lean manufacturing.4 The question to what
extent the arrival of lean manufacturing has
altered the geography of supplier networks

2



has not been definitively answered.5 The
answer will have implications for regional
development efforts. Proponents of the spa­
tial clustering hypothesis argue for a just-in­
time-based local and regional development
strategy.6 Such an approach was apparent
during Mercedes’ recent search for an assem­
bly plant site in North America. Alabama
offered major tax breaks to the company,
apparently on the assumption that the assem­
bly plant would attract a fair number of its
supplier plants to locate nearby.7
This article attempts to shed new light on
the spatial effects of lean manufacturing by
examining the emerging geographical struc­
ture of lean manufacturing supplier networks
in the auto industry, often highlighted for its
bellwether role in the adoption of the new
manufacturing system. First, I present an
overview of previous studies. This is fol­
lowed by a detailed analysis of the U.S. sup­
plier networks of eight auto assemblers locat­
ed in the United States. While some of these
networks have been the subject of previous
research, this article goes beyond the existing
literature by investigating both domestic and
transplant suppliers and by identifying both
the tier and the age of individual supplier
plants.8 The evidence of emerging supplier
location patterns is discussed both at the sam­
ple and assembly plant level. Conclusions
follow in the final section.
Thom as H. Klier is a senior econom ist at the
Federal Reserve Bank o f Chicago. The author
w o u ld like to thank Jason Brow n and Shinobu
Suzuki fo r excellent research assistance.

ECONOMIC PERSPECTIVES

Review o f previous evidence

As one of the most important and most
visible manufacturing industries, the automo­
bile industry has been of interest to economic
geographers for some time.9 Since the arrival
of lean manufacturing by way of Japanese
transplant assembly and parts facilities in
North America, questions have been raised
about its impact on the existing spatial struc­
ture of manufacturing. In Japan, auto assembly
and parts production are heavily concentrated
in the core industrial regions of Tokyo-Yokohama, the Nagoya region, and to a lesser ex­
tent, the Osaka area. Three factors are cited as
an explanation for this concentration: “urbanindustrial agglomeration factors stemming
from the dependence of the auto and other
assembly-type industries on a wide range of
parts, components, engineering processes and
labor skills; ready access to the largest domes­
tic markets; and access to port facilities for
interregional and export shipment.”10
Evidence from other industries and other
countries indicates that the magnitude of the
effect of lean manufacturing on location varies
by industry and by country." For example, a
recent analysis of 71 auto parts plants in nine
countries suggests that the degree of dispersion
of a country’s supply base is partly a function of
the country’s size.12 Japan’s auto industry is
characterized by the most geographically con­
centrated supply base, with 82 percent of the
suppliers located within a four-hour journey by
truck from the assembly plant. In contrast, the
percentages for the U.S., U.K., and Germany are
35, 53, and 52, respectively. Sadler (1994)
studied parts purchasing at several Japanese
assembly plants in Europe and found that Japa­
nese transplants in Europe “placed far greater
emphasis on working with an existing supplier
base in Europe than on encouraging rapid trans­
nationalization of the Japanese components
industry.” At the same time, they were imple­
menting the familiar mix of lean manufactur­
ing production and procurement practices.13
Did the arrival of lean manufacturing in
North America lead to a similarly compact
spatial structure? To understand the existing
structure of the U.S. auto supplier industry, one
must first distinguish between so-called captive
and independent suppliers. Among the Big
Three, the distribution of captive suppliers (that
is, suppliers that are Big Three subsidiaries or
divisions) varies by assembler. Even today,


FEDERAL RESERVE


BANK OF CHICAGO

however, these suppliers generally remain locat­
ed in the upper Midwest.14 For example. Ford
historically operated within a highly centralized
model of production with clusters in Detroit and
Dearborn; today the company’s parts operations
are mostly clustered in southeastern Michigan
and northern Ohio. General Motors, on the
other hand, started out with multiple centers of
operation in Michigan (Detroit, Flint, Lansing,
and Pontiac), and soon afterward expanded its
parts operations into other, predominantly midwestern states, mainly by acquiring independent
supplier companies. Before World War II, the
company’s captive suppliers were largely clus­
tered in the southern Great Lakes region. Since
then, GM has pursued a policy of spatial divi­
sion of labor. Products requiring relatively
skilled workers, such as engine and drivetrain
components, have remained concentrated in the
southern Great Lakes region. Lower-skill tasks,
such as much of the manufacturing of electrical
components, have been relocated to the south.15
As lean manufacturing has increased the
degree of outsourcing, the more interesting
question is how the location pattern of inde­
pendent supplier plants has been evolving.
Historically, parts suppliers have been clus­
tered in southeastern Michigan and the adja­
cent southern Great Lakes states.16 A signifi­
cant change in the observed location of inde­
pendent suppliers occurred during the 1970s,
when a noticeable number of supplier plants
moved southward into Kentucky, Tennessee,
Alabama, Georgia, Virginia, and North Caroli­
na.17 These relocations were related to location
decisions of auto assembly plants. For exam­
ple, during the 1970s GM, in search of lowercost nonunionized labor, built or planned four­
teen plants in the south, primarily in rural areas
of small towns.18
The latest development influencing the
location decisions of suppliers has been the
arrival of lean manufacturing in North Ameri­
ca, generally dated around 1980 when the first
Japanese transplant assembly facilities opened.
Early evidence indicates the emergence of a
structure in which supplier plants locate closer
to their assembly plant customers than under
the previous system of mass production.19
A set of recent studies investigates the
effect of lean manufacturing on the spatial
structure of independent supplier plants in the
United States. Rubenstein and Reid (1987) and
Rubenstein (1988) analyzed data for the state

3

of Ohio. They could not identify a clear-cut
effect of lean manufacturing on supplier plant
location, yet they did find a change in the loca­
tional pattern after 1970. New firms were
more likely to locate in the state’s rural coun­
ties and the central region, and less likely to
locate in northeastern Ohio.
Most of the existing analyses of the loca­
tion effect of lean manufacturing, however,
concern Japanese-owned suppliers within the
United States. This is not surprising, as these
plants were generally set up to meet the de­
mands of lean manufacturing assemblers. In
addition, most of them are new plants estab­
lished at so-called greenfield sites, which
makes them a preferred object of study.20
Studies of these plants consistently find a con­
centration of Japanese suppliers in a region
encompassing Michigan, Indiana, Ohio, Ken­
tucky, and Tennessee, commonly referred to as
the I-75/I-65 auto corridor because it is defined
by those two interstate highways. At the local
level, suppliers are dispersed to avoid their
drawing from the same labor market.21 From
the perspective of the southern Great Lakes
states, it seems that the arrival of lean manu­
facturing reversed the trend toward regional
decentralization that started in the early 1970s.
However, the sites chosen by transplants were
not traditionally associated with motor vehicle
assembly or parts production. Accordingly, a
complex pattern of industrial growth and de­
cline emerged in the Midwest.22
The data

“Mapping the spatial distribu­
tion of parts suppliers at one point
in time, let alone changes, is a for­
midable task.”23 The Census of
Manufactures can offer only incom­
plete information, because it distin­
guishes neither between original
equipment manufacturers and pro­
ducers of replacement parts nor
between different tiers of suppliers.
In addition, because of the large
variety of parts that make up an
automobile, suppliers are classified
in 18 of the 20 two-digit SIC cate­
gories. Finally, census data provide
no information about linkages be­
tween suppliers and their customers.
The data used in this study
come from the ELM GUIDE data­


4


base on the auto supplier industry, produced by
a company in Michigan.24 The data available
for analysis represent the year 1993 and cover
2,477 supplier plants located in the United
States. As a first step I grouped the plants by
tiers. Of the total, 1,383 plants were tier 1
suppliers, that is, they ship their products ex­
clusively to auto assembly plants and not to
other suppliers or other customers; 373 were
“mixed” plants, that is, they ship also to other
supplier plants and/or nonautomotive assem­
blers; 721 plants had to be excluded from the
analysis as they did not provide information on
which customer(s) they shipped to.25
As the customer information in the ELM
database is provided at the company rather
than plant level, I focused on the set of auto
assemblers that operate only one plant, or
plants at only one location, in the U.S. in order
to be able to establish linkages between assem­
bly and supplier plants; 511 (37 percent) of the
1,383 identifiable first-tier supplier plants ship
to these 9 assembly plants (see table l).26 I
then added several variables to the database.
Information on start-up year of the supplier
plants was obtained from various state manu­
facturing directories; information on Japanese
ownership was obtained from a publication of
the Japan Economic Institute.27 The start-up
date for 41 plants in the sample could not be
identified from state industrial directories. I
sent these plants a questionnaire to obtain the
missing information. Of the 20 returned ques­
tionnaires, 16 indicated plants that were still
operational. Therefore, the number of observa-

T A B LE 1

Assembly plants in study
Location

S ta rt-u p year

Honda

M arysville, OH

1982

Honda

East Liberty, OH

1989

Nissan

Sm yrna, TN

1983

NUMMI
(GM-Toyota)

Frem ont, CA

1984

AutoA lliance
(Ford-Mazda)

Flat Rock, Ml

1987

Diam ond-Star
(M itsub.-C hrysler)

N orm al, IL

1988

Toyota

G eorgetow n, KY

1988

Subaru-lsuzu

Lafayette, IN

1989

Saturn

Spring Hill, TN

1990

Source: Ward's Communications (various years).

ECONOMIC PERSPECTIVES

TABLE 2

Top seven states for tier 1 supplier plants
% of total plants (1,383)

% of sample plants (486)

M ichigan

25.6

M ichigan

20.4

Ohio

13.6

Ohio

15.8

Indiana

10.6

Illinois

6.8

Tennessee

5.9

Kentucky

8.2

Kentucky

4.0

Illinois

6.0

North Carolina

3.5

North Carolina

3.3

Top 3: 49.8%
Top 5: 62.5%

Indiana

10.7

Tennessee

10.3

Top 3: 46.9%
Top 5: 65.4%

Source: ELM International, Inc. (1993) and author's calculations.

tions for the following analysis is 486. The
resulting data allow for a comparison of more
recent location decisions with older ones that
were presumably not influenced by lean manu­
facturing. However, this is not equivalent to a
time-series analysis since the sample only
contains plants operating during 1993 and none
that were shut down in earlier years.
Where do plants locate? Th e spatial
pattern o f the sample

It is interesting to relate the geographic
distribution of the sample to the population of
tier 1 supplier plants. Table 2 shows that the
sample plants were slightly more concentrated
in five states and were located to the south of
the population of identifiable tier 1 plants.
Michigan, the most frequent location choice
among the 486 plants in the sample, was less
dominating in the sample than in the identifi­
able population of tier 1 supplier plants, while

Ohio, Tennessee, and Kentucky each attracted
a higher share of sample plants. This pattern is
not surprising, as the assemblers for which
linkages to supplier plants could be established
were located to the south of the traditional
assembly plant region. Nonetheless, on the
whole the sample was geographically distribut­
ed quite similarly to the overall distribution of
total identifiable tier 1 supplier plants.
Since the sample plants were identified by
start-up year and by affiliation with a Japanese
company, it was possible to assess the location
pattern by age of plant and plant ownership.
Because transplant assemblers started operat­
ing in the U.S. as early as 1982,1 chose 1980
as the cutoff year to compare location patterns
before and after the implementation of lean
manufacturing techniques.28 Table 3 shows
that about 42 percent or 203 of the 486 supplier
plants were established before 1980; the vast
majority of them (187) were domestic. The

TA B LE 3

Location of sample plants
Established prior to 1980 (203)
Domestic (187)

Transplant (16)

Established 1980 or later (283)
Domestic (118)

M ichigan

26.7%

25.0%

25.4%

Ohio

15.5

6.3

9.3

Transplant (165)
9.1%
21.8

Illinois

8.0

25.0

3.4

3.6

Indiana

7.0

6.3

13.6

13.3

Tennessee

5.9

6.3

12.7

13.9

Kentucky

4.3

0

4.2

16.4

California

0.5

6.3

2.5

4.2

Largest 3

50.2

56.3

51.7

52.1

Largest 5

63.1

68.9

65.2

74.5

Source: ELM International, Inc. (1993) and author's calculations.

FEDERAL RESERVE



BANK OF CHICAGO

5

FIGURE 1

Tier 1 supplier plants established prior to 1980 (203)

location pattern of those 203 followed very
closely the distribution shown in table 2 (see
also figure 1). Too few transplant supplier
plants were established prior to 1980 to show
any discernible pattern. Figure 2 shows a
remarkably different location pattern for tier 1
plants established since 1980. Most pro­
nounced is the development of the so-called
auto corridor, a rather compact and densely

6



populated area stretching north-south along I75 and I-65.29
To what extent does this auto corridor represent
locational choices of transplant and domestic
supplier plants, respectively?
Dividing the sample by age of plant re­
vealed two very interesting findings. First,
compared with their older counterparts, post1980 domestic plants were located more to the

ECONOMIC PERSPECTIVES

southeast. Ohio and Illinois lost considerable
share, while Indiana and Tennessee became
more frequent location choices. However, the
overall concentration in the top three and top
five states hardly changed.30 These findings are
displayed in figures 3 and 4. The most striking
contrast, however, is between recently estab­
lished domestic and transplant suppliers (see
figures 4 and 5). First, the number of transplant
suppliers increased dramatically after 1980 (see
table 4). Furthermore, 75 percent of the 165
transplant suppliers opened since 1980 located
in only five states—Kentucky, Ohio, Tennessee,
Indiana, and Michigan—a higher proportion
than any other subset of the sample.31 The ag­
gregate picture in table 3 and figures 1 through
5 reveals the leading role played by the trans­
plants in establishing a different location pattern
in the U.S. auto supplier industry. In addition,
there is evidence, albeit to a smaller extent, for a
changing location pattern among domestic sup­
pliers since 1980.32
Table 3 and figures 1 through 5 contain two
additional interesting pieces of information.
First, among the traditional auto states, Michi­
gan stands out for remaining the preferred loca­
tion of domestic supplier plants, even after
1980. One possible explanation is a stronger
orientation of domestic suppliers to the Big
Three as customers.33 In addition, the data sug­
gest that certain characteristics of a plant’s

FEDERAL RESERVE



BANK OF CHICAGO

TABLE 4

Transplant auto supplier start-ups
Number of facilities
1981

1

1982

5

1983

6

1984

5

1985

13

1986

25

1987

50

1988

67

1989

40

1990

17

1991

2

Source: McAlinden and Smith (1993).

output seem to influence its location decision.
For example, the production of sensors (such
as airbag or temperature sensors), a lightweight
electronic part, is widely dispersed, with a
noticeable number of plants in California and
adjacent states. On the other hand, the produc­
tion of seats—a part that involves various
levels of subassembly including frames and
upholstery, and is consistently quoted in the
automotive press as one of the parts delivered
to assembly lines by the hour—is concentrated
within the automotive corridor, close to the

7

FIGURE 4

Domestic tier 1 supplier plants established 1980 or later (118)

• 1 supplier plant
■ 2 supplier plants
a

3 or more supplier plants

assembler customers.34 The recently opened
domestic plants in Michigan tend to be concen­
trated in the production of interior body system
parts and components as well as body compo­
nents and trim (including parts such as instru­
ment panels, dashboards, and relatively heavy
items such as hoods and doors). Comparing
the product classifications of older and young­
er domestic plants in Michigan, one finds a

8



reduction in the start-up of plants producing
engines and engine components since 1980,
especially parts such as exhaust and intake
manifolds and crankshafts.
Second, several new plants located outside
the I-75/I-65 corridor after 1980. Since the
data set available for this study does not in­
clude information on production level and/or
customer-specific shipments, it was not possi-

ECONOMIC PERSPECTIVES

FIGURE 6

ble to test whether those plants rely more
heavily on nonautomotive business.35
Who is closer? An analysis o f fo u r
supplier netw orks

A closer look at the tier 1 supplier net­
works of specific assembly plants provides a
more detailed picture of the changes in the
location pattern of those suppliers during the

FEDERAL RESERVE



BANK OF CHICAGO

1980s. There is a striking difference between
the pre-1980 and post-1980 location patterns
similar to that observed among total sample
plants. However, the analysis in this section
will concentrate on suppliers that opened no
earlier than the year during which their respec­
tive assembly plants started operating. This
focus enables us to isolate the effect that lean
manufacturing assembly had on the location of

9

blers than are domestic suppliers
(see figures 9 through 12). How­
Average distance between supplier and assembler
ever,
even the latter locate in a
(suppliers that opened after assemblers)
noticeable network pattern in
N e tw o rk
D om estic
T ransplant
relation to the various assemblers
A ssem bler
average
suppliers
suppliers
in the sample. By calculating the
<----------------- --------- miles-------- ........................ )
distance between each supplier
plant and the assembly plant for
Honda
287
244*
399*
each of the four networks, I for­
Nissan
317
360
287
mally tested for differences in the
AutoA lliance
359
371
353
location decisions of domestic
Toyota
325
466**
237**
and transplant suppliers.37 Table
‘ Difference significant at the .10 level.
5 shows the average distances
“ Difference significant at the .05 level.
Sources: ELM International, Inc. (1993) and author's calculations.
between the individual suppliers
and their respective assemblers in
the sample. A test of the similari­
suppliers.36 As one cannot directly compare
ty of the location pattern showed a significant
the pre- and post-1980 location patterns, this
difference between the average distances of
section presents statistical evidence on a relat­
domestic and transplant suppliers in two of the
ed question: For the four transplant assembly
four networks.38 Domestic suppliers that
plants analyzed, do both domestic and trans­
opened after the start-up of their respective
plant tier l suppliers make similar location
assemblers were consistently located farther
decisions?
away than the transplant suppliers of compara­
First, the locations of these assemblers’ tier
ble vintage.39 This is a surprising result, as it
1 suppliers produce very similar images (see
indicates significant differences in the location
figures 6 through 8). While the networks in­
effects of lean manufacturing on transplant and
clude more post-1980 plants the longer the
domestic suppliers. It is conceivable that more
assembly plant has been in operation, they are
of the customers of domestic suppliers than
all focused on the I-75/I-65 auto corridor,
transplant suppliers are located in the tradition­
whether the assembly plant is located in the
al auto region, which would explain the larger
center (like Honda in Ohio), at the northern end
average distances to the three transplant assem­
(like AutoAlliance in Michigan), or the southern
blers located in the auto corridor. As the loca­
end (like Nissan in Tennessee) of that region.
tion of the Big Three assembly plants is not
Second, a comparison of domestic and
identified in the database, only indirect ways of
transplant suppliers shows that transplants
testing that explanation remain. When one
are typically somewhat closer to their assem­
excludes AutoAlliance, the Mazda-Ford joint
TABLE 5

T A B LE 6

Supplier plants by distance to assembly plant
(suppliers that opened after assembler)
Honda
Distance in m iles

Nissan
D

A u to A llia n ce

D

T

0-50

5.9

19.3

2.2

1.6

17.4

6.4

51-100

8.8

17.0

13.6

8.0

21.7

10.6

T

D

T

Toyota
D
5.5
0

T
6.9
20.7

101-200

29.4

27.3

4.5

38.7

17.4

10.6

11.1

37.9

201-400

26.5

21.6

40.9

33.9

4.3

29.8

66.7

20.7

401-800

20.6

10.2

36.4

12.9

26.1

36.2

5.5

10.3

8.8

4.5

2.2

4.8

13.0

6.4

11.1

3.4

>800

Note: D = domestic; T = transplant.
Sources: ELM International, Inc. (1993) and author's calculations.

10



ECONOMIC PERSPECTIVES

FIGURE 8

venture in Flat Rock, Michigan, and its suppli­
ers, the percentage of tier 1 suppliers shipping
only to non-Big Three assembly plants is more
than twice as large for transplants as for do­
mestic suppliers.40 However, when one focuses
on the subset of suppliers not shipping to the
Big Three, the average distances for both trans­
plant and domestic suppliers are lower than
those listed in table 5.41

FEDERAL RESERVE



BANK OF CHICAGO

Table 6 presents more detailed information
on the distribution of supplier plants around
specific auto assembly plants. It suggests that
the statistical differences in table 5 are driven
by differences in the number of suppliers that
locate very close to the assembler. A some­
what smaller share of domestic than transplant
suppliers locate very close to the assembler
(see table 6).42 A large share of both Honda’s

11

FIGURE 10

and Toyota’s transplant tier l suppliers are
located within 100 miles (two hours’ driving
time) of the assembly plant (36.3 percent and
27.6 percent respectively, compared with 14.7
percent and 5.5 percent of Honda’s and Toyo­
ta’s domestic supplier plants). In the case of
AutoAlliance, about two-thirds of its domes­
tic tier l suppliers that opened plants after
AutoAlliance started operating chose to locate

12



in southeastern Michigan and northern Illi­
nois, Indiana, and Ohio. Accordingly, table 6
shows that about 40 percent of its domestic
supplier plants are located within 100 miles of
the assembly plant. The statistical test pro­
duced no evidence of a significant difference
between the average distances of AutoAlliance’s domestic versus transplant suppliers.

ECONOMIC PERSPECTIVES

FIGURE 12

Summary and conclusion

Lean manufacturing has been implemented
in the American manufacturing sector for some
time now. While there is agreement that this
has raised productivity at the assembly plant
level, it has not been clear what effect it has
had on the geographic distribution of the sup­
plier base. By refining a commercially avail­
able database, I was able to examine the sup­
plier networks of some recently opened auto
assembly plants located in the United States,
focusing in particular on the spatial relation­
ship between assemblers and their tier l suppli­
ers. While I could not test changes in the spa­
tial patterns of Big Three suppliers during the
last decade, I have presented some new infor­
mation on a set of mostly transplant assembly
plants and their suppliers. This information
affords a better understanding of the evolving
geography of lean manufacturing.
Earlier findings about a movement of
supplier plants toward the I-75/I-65 automotive
corridor were confirmed. In addition, by dis­
tinguishing the age and ownership of the plants
in the sample, this study found that since 1980
the majority of newly established tier l suppli­
er plants that ship to at least one of the assem­
blers in the sample chose to locate within the
so-called automotive corridor. The data show

FEDERAL RESERVE



BANK OF CHICAGO

the establishment of transplant supplier plants
to be the main force in shaping a new geogra­
phy in the supplier industry. While domestic
suppliers were found to have located in the
I-75/I-65 corridor as well, their average dis­
tance to the assembly plants in the sample is
significantly larger. In addition, the data indi­
cate that there are agglomeration effects in the
automotive corridor and that the type of output
produced also influences the location chosen.
The implications of these findings for
regional development policy are neither clearcut nor simple. While the evidence suggests
the establishment of a new geography in the
U.S. auto supplier industry, it is clear that that
industry will not be nearly as geographically
concentrated as it is in Japan.43 Thus a state’s
ability to attract an assembly plant does not
necessarily mean that a significant number of
suppliers will set up shop nearby.
In further research on this topic, I will
extend the analysis to the supplier networks of
Big Three assembly plants and will apply for­
mal location models to the data on hand. It
would also be very interesting to obtain addi­
tional information for the sample plants, such
as the location of the plant of the primary as­
sembly customer.

13

NOTES
'The importance of supplier networks is featured in a recent
study on lean manufacturing in the auto industry (Andersen
1994) which suggests the management of the supply chain to be
one of the key competitive factors. See also Bennet (1994) and
Klier (1994). Rather than coordinating its entire supplier struc­
ture, an assembler prefers to deal directly with only a small
number of supplier companies, referred to as tier 1 suppliers.
’Estall (1985), Kenney and Florida (1992). Mair (1992), and
Dyer (1994).
’See Helper (1991) on the increased frequency of commu­
nication.
4See, for example, Glasmeier and McCluskey (1987), Reid
(1995), and the references cited therein.
’See, for example, Mair (1992) and Erickson (1994). The
issue is complicated by the fact that location patterns, once
established, tend not to change over a short period of time, as
they involve decisions with relatively long time horizons.
See, for example, Ondrich and Wasylenko (1993) for a formal
treatment of the location decision and Krugman (1991) for an
explanation of the influence of history on the spatial pattern
of economic activity.
“For example, Mair (1993).
’Cooper and Ruffenach (1993).
“Automobile assembly and component plants that are fully or
partly owned by foreign companies are generally referred to
as transplants. For the purposes of this study, the defining
characteristic distinguishing transplant from domestic suppli­
ers is the ownership of the plant, not its customers.
9See Henrickson (1951), Boas (1961), and especially Rubenstein (1992) for a historical overview of the geography of the
U.S. automobile industry.
"’Sheard (1983).
"See, for example, Angel (1994), Jones and North (1991),
and Schampp (1991).
"Andersen (1994).
'’Sadler (1994) suggests that the resulting smaller increase in
spatial proximity is due to the relatively fragmented market
for cars, supporting a range of independent automotive
companies, prior to the arrival of Japanese transplants.
"McAlinden and Smith (1993); Miller (1988).
'-’Rubenstein (1992).
'"Rubenstein (1992); Henrickson (1951).
"Glasmeier and McCluskey (1987).
'““Four were built in Mississippi, three in Louisiana, two each in
Alabama and Georgia, and one each in Oklahoma, Texas, and
Virginia” (Rubenstein 1992, p. 238). According to Rubenstein
(1992), the proliferation of different models since 1960 led to a
fragmentation of the market for passenger cars and reduced the
need for branch assembly plants, that is, plants producing
identical models at centers of demand for regional distribution.
That resulted in a fair amount of restructuring at the assembly
plant and, consequently, at the supplier plant level.
l9In his study on the North American auto industry, Miller
(1988) finds that the introduction of new supply philosophies
has shifted suppliers slightly closer to assemblers.
2l)See Glassmeier and McCluskey (1987), Mair et al. (1988),
Rubenstein (1992), Woodward (1992), and Mair (1994).
2lSee Mair et al. (1988).

14



22Rubenstein (1992); Klier (1993).
•"Rubenstein ( 1992).
24ELM (1993), the ELM GUIDE supplier database. This
database includes, among other things, the addresses of the
supplier plants, a listing of each plant’s customers, and a very
detailed classification of products produced and materials used.
25It is difficult to accurately assess the coverage of this data­
base, since the size of the true population is unknown. How­
ever, anecdotal evidence on Honda (Mair 1994) and Nissan
(Bennet 1994) indicates reasonably good coverage of the tier
l supplier plants. Furthermore, the information obtained from
the ELM database is qualitatively consistent with previously
published accounts (see Mair et al. 1988, Kenney and Florida
1992. Rubenstein 1992, and Mair 1994). Therefore I do not
expect the results to be biased.
2,’The nine assembly plants were all opened after 1980 and were
mostly transplants. Ideally one would like to investigate the
supplier networks of all U.S. assembly plants opened after 1980
and compare them to pre-lean manufacturing patterns. Howev­
er, geographic linkages between assemblers and suppliers at the
plant level were available only for the eight assemblers listed in
table l . In addition, I could find no comparable information on
pre-1980 supplier networks. As Honda’s two Ohio assembly
plants are only about 15 miles apart, I treated them as one site.
Eight Big Three assembly plants have been opened since
1980: GM’s plants in Orion Township, MI; Bowling Green,
KY; Fort Wayne, IN; Wentzville. MO; and Hamtramck, MI;
and Chrysler’s plants in Detroit, MI (Mack Ave. and Jefferson
Ave.), and in Sterling Heights, MI. Almost all of these are in
the traditional assembly region of the lower Great Lakes
states (see Boas 1961). Also excluded from the study were
the 20 pre-1980 U.S. car assembly plants of the Big Three
that were in operation during 1993. (See Ward's Automotive
Yearbook, various years.)
Because of the weak coverage of “mixed” plants, I exclud­
ed that segment from further analysis.
"Japan Economic Institute (1992).
’“Glassmeier and McCluskey (1987) compared “recently
built” facilities with the overall pattern of auto parts produc­
tion. However, in their study they do not indicate the time
frame used to define these plants. Moreover, from the 17
observations they had in the “recently built” category, the
authors can only speculate as to possible implications.
29See Mair et al. (1988).
’"As recently as 1988, Miller found no evidence of a notice­
able shift in parts-making activities (Miller 1988).
"Ohio experienced both a very significant decrease in the
percentage of domestic plant openings and a dramatic in­
crease in the percentage of transplant plant openings since
1980. This makes Ohio a very interesting case study (see
Rubenstein and Reid 1987).
’’Given the nature of the sample, I could obtain no evidence
on possible changes in the location patterns of the networks of
Big Three assembly plants. In addition, the smaller effect of
location changes among domestic tier 1 suppliers might well
be related to the extent that transplant assembler plants
resemble secondary customers of these supplier plants.
However, information to support this claim is currently not
available. See the following section for evidence of spatial
patterns of domestic supplier plants at the network level.
’’Of the 118 domestic supplier plants opened since 1980, only
13.6 percent had no Big Three companies listed as customers.
That compares to 36 percent of the 165 transplant supplier
plants that opened during the same time period (see ELM

ECONOMIC PERSPECTIVES

1993). However, the lack of information on the relative
importance of a supplier plant’s customers prevents a more
detailed look at that issue.
uOf the 1,383 tier 1 plants identified in the database, 38 list
sensors as one of their products. Only 39 percent of these
plants are located in the five automotive corridor states,
Michigan, Indiana, Ohio, Kentucky, and Tennessee. By
comparison, 10 of the 13 seat plants are located in the auto­
motive corridor.
"In terms of the type of parts produced, no particular group
dominates the recently established non-auto-corridor plants.
However, the parts tend to be relatively lightweight. Plants
located in the Northeast tend to produce electronic and
electrical parts.
"As only nine suppliers to Saturn opened plants since 1990,
the start-up year for the Tennessee assembly plant, its net­
work is not discussed in detail. In addition, no further analy­
sis is undertaken for the networks of NUMMI, Subaru-Isuzu,
and Diamond-Star. The fact that neither could attract a
noticeable number of supplier plants close to the assembly
plant is probably an indication of agglomeration effects in the
automotive corridor.
"The distances were calculated by means of the mapping
software MAPINFO at the county resolution.
"In the case of Nissan, the difference is significant just above
the .10 level.

'M
Dyer (1994) reports that the average distance between
Toyota’s assembly plants and its independent suppliers in
Japan is only 87 miles. In contrast, he reports that the average
distance between GM’s assembly plants and its independent
suppliers in the U.S. is 427 miles.
In a study done over 40 years ago, Henrickson (1951) lists
sources of metal automobile parts to the Buick assembly plant
complex in Flint. The average distance between independent
supplier plants pre-1950 (58 plants) to the Buick plant can be
calculated as 294 miles; information reported for the year
1950 (39 plants) results in an average distance of 309 miles.
■"'Saturn was not included in the definition of Big Three. The
actual percentages are as follows: 45.5 percent of Honda’s
transplant suppliers do not list Big Three customers, versus
14.7 percent of its domestic suppliers; Nissan, 27.4 percent
versus 11.4 percent; AutoAlliance, 19.1 percent versus 13.0
percent; and Toyota, 48.3 percent versus 22.2 percent.
JIThe number of observations in the “domestic” supplier
category is too small for meaningful tests of statistical differ­
ence in the average distances within that subsample.
4:A closer look at the parts produced by supplier plants
located within very close range of the assembly plant reveals
an emphasis on interior body systems and components (such
as dashboards, seats, door panels, and instrument panels) and
body glass and components (such as windshields and rear and
side windows).
"'Andersen (1994) and Dyer (1994).

REFERENCES
Andersen Consulting, “Worldwide manufacturing
competitiveness study—The second lean enterprise
report,” 1994.

Dyer, Jeffrey H., “Dedicated assets: Japan’s manufac­
turing edge,” H arvard B usiness Review, November/
December 1994, pp. 174-178.

Angel, David P., “Tighter bonds? Customer-supplier
linkages in semi-conductors,” Regional Studies , Vol. 28,
No. 2, April 1994, pp. 187-200.

ELM International, Inc., “The ELM GUIDE supplier
database,” East Lansing, MI, database file, 1993.

Rennet, James, “Detroit struggles to learn another
lesson from Japan,” The New York Tim es , June 19,
1994, section F, p. 5.
Boas, Charles W., “Locational patterns of American
automobile assembly plants, 1895-1958.” Econom ic
G eography, Vol. 31, 1961, pp. 2 18-230.
Commerce Register Inc., M aine , in D irectory o f
M anufacturers, 1993a.
_________________ , M assachusetts,
M anufacturers, 1993b.

in Directory o f

_________________ , New H am pshire,
M anufacturers, 1993c.
_________________ , Vermont,
turers, 1993d.

in D irectory o f

in Directory o f M anufac­

Cooper, Helene, and Glenn Ruffenach, “Alabama’s
winning of Mercedes plant will be costly, with major
tax breaks,” Wall Street Journal, September 30, 1993,
p. A2.
Database Publishing Co., Arizona, in M anufacturers
Register, 1994a.
_________________ , California,
Register, 1994b.


FEDERAL RESERVE


in M anufacturers

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Erickson, Rodney A., “Technology, industrial re­
structuring, and regional development,” Growth and
Change, Vol. 25, Summer 1994, pp. 353-379.
Estall, R.C., “Stock control in manufacturing: The
just-in-time system and its locational implications,”
Area, Vol. 17, 1985, pp. 129-132.
Glasmeier, Amy, and Richard McCluskey, “U.S.
auto parts production: An analysis of the organization
and location of a changing industry,” E conom ic G eog­
raphy, Vol. 63, No. 2, 1987, pp. 142-159.
Harris Publishing Co., Harris Illinois Industrial
1994.

Directory \

Helper, Susan, “How much has really changed be­
tween automakers and their suppliers?” Sloan M anage­
ment Review, Summer 1991, pp. 15-28.
Henrickson, G. Rex, Trends in the Geographic D istri­
bution o f Suppliers o f Some Basically Im portant M ate­
rials Used at the Buick M otor Division, Flint, M ichi­
gan, Ann Arbor, MI: University of Michigan, Institute
for Human Adjustment, 1951.
Japan Economic Institute, J apan's Expanding U.S.
M anufacturing Presence: 1990 Update, 1992.
Jones, Philip N., and John North, “Japanese motor
industry transplants: The West European dimen­
sion,” E conom ic G eography, Vol. 67, No. 2, 1991,
pp. 105-123.
15

Kenney, Martin, and Richard Florida, “The Japa­
nese transplants—production organization and region­
al development,” Journal o f the American Planning
A ssociation. Vol. 58, No. 1, 1992, pp. 21-38.
Klier, Thomas, "How lean manufacturing changes the
way we understand the manufacturing sector,” E co­
nomic P erspectives , Vol. 17, No. 3, May/June 1993,
pp. 2-10.
______________ , “The impact of lean manufacturing
on sourcing relationships,” Federal Reserve Bank of
Chicago, Econom ic P erspectives , Vol. 18, No. 4, July/
August 1994, pp. 8-17.
Krafcik, John F., “Triumph of the lean production
system,” Sloan M anagem ent R eview , Fall 1988,
pp. 41-52.
Krugman, Paul, Geography and Trade , Gaston
Eyskens Lecture Series, London: Leuven University
Press, 1991.
Mair, Andrew, “Just-in-time manufacturing and the
spatial structure of the automobile industry: Lessons
from Japan,” Tijdschrift voor Econ. en Soc. Geografie,
Vol. 82, No. 2, 1992, pp. 82-92.
_____________ , “New growth poles? Just-in-time
manufacturing and local economic development strate­
gy,” Regional Studies , Vol. 27, No. 3, 1993, pp. 207-221.
_________________ , H o n d a ’s Global Local Corpora­
tion, New York: St. Martin's Press, 1994.

Mair, Andrew, Richard Florida, and Martin Ken­
ney, “The new geography of automobile production:
Japanese transplants in North America,” Economic
Geography, Vol. 20, October 1988, pp. 352-373.
Manufacturers’ News Inc., Alabam a, in M anufactur­
1994a.

ers Register,

_________________ , F lorida,
R egister, 1994b.

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_________________ , Indiana,
R egister, 1994c.

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_________________ , K entucky,
R egister, 1994d.

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_________________ , N ebraska,
R egister, 1994e.

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_________________ , N orth C arolina,
ers R egister, 1994f.
_________________ , O hio,
R egister, 1994g.

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_________________ , Oklahoma,
Register, 1994h.
_________________ , Texas,
Register, 1994i.

in M anufactur­

in M anufacturers

in M anufacturers
in M anufacturers

_________________ , G eorgia,
Register, 1995a.

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16



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_________________ , P ennsylvania,
R egister, I995d.
_________________ , W isconsin,
R egister, I995e.

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McAlinden, Sean, and Brett Smith, “The changing
structure of the U.S. automotive parts industry,” Ann
Arbor, MI: University of Michigan Transportation
Research Institute, report no. UMTRI 93-6, 1993.
Miller, Roger, New Locational Factors in the A uto­
mobile Industry, Montreal, Canada: Universite du
Quebec, 1988.
Ondrich, Jan, and Michael Wasylenko, Foreign
D irect Investm ent in the United States: Issues, M agni­
tudes, and Location Choice o f New M anufacturing
Plants, Kalamazoo, MI: Upjohn Institute, 1993.
Pick Publications, 1994 M ichigan M anufacturers
1994.

Directory,

Reid, Neil, “Just-in-time inventory control and the
economic integration of Japanese-owned manufactur­
ing plants with the county, state and national econo­
mies of the United States,” R egional Studies, Vol. 29,
No. 4, 1995, pp. 345-355.
Rubenstein, James M., “Changing distribution of
American motor-vehicle-parts suppliers,” G eographi­
cal Review, Vol. 18, No. 3, 1988, pp. 288-298.
_________________ , The Changing U.S. A uto Indus­
try— Geographical Analysis, London: Routledge, 1992.

Rubenstein, James M., and Neil Reid, “Ohio’s motor
vehicle industry—industrial change and geographical
implications,” Miami University, geographical research
paper no. 1, 1987.
Sadler, David, “The geographies of just-in-time:
Japanese investment and the automotive components
industry in Western Europe,” Econom ic Geography,
Vol. 70, No. 1, 1994, pp. 41-59.
Schampp, Eike, “Towards a spatial organization of
the German car industry? The implications of new
production concepts,” in Industrial Change and R e­
gional D evelopment: The Transform ation o f New
Industrial Spaces, George Benko and Mick Dunford

(eds.), London: Belhaven Press, 1991, chapter 8.
Sheard, Paul, “Auto-production systems in Japan:
Organisational and locational features,” Australian
G eographical Studies, Vol. 21, April 1983, pp. 49-68.
Smith Publishers & Printers, 1992 D irectory o f
Tennessee M anufacturers, 1992.
South Carolina Department of Commerce, 1994
1994.

South Carolina Industrial Directory,

_________________ , Virginia,
Register, 1994j.

_________________ , Iowa,
Register, 1995 b.

_________________ , M issouri,
R egister, 1995c.

Ward’s Communications, W ard’s A utom otive Year­
Detroit, MI, various years.

book,

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Woodward, Douglas P., “Locational determinants of
Japanese manufacturing start-ups in the United
States,” Southern Econom ic Journal, Vol. 58, No. 3,
1992, pp. 690-708.

ECONOMIC PERSPECTIVES

ECONOMIC PERSPECTIVES—INDEX FOR 1995
Issue

A rtic le

Pages

B A N K IN G , C R E D IT, A N D F IN A N C E

A current look at foreign banking in the U.S. and Seventh District
Linda M. Aguilar
Internal organization and economic performance:
The case of large U.S. commercial banks
William C. Hunter

Jan/Feb

20-28

Sep/Oct

10-20

Mar/Apr

2-19

Mar/Apr

22-32

Jul/Aug

2-14

May/Jun

2-12

Jul/Aug

16-28

Jan/Feb

2-19

May/Jun

13-35

Sep/Oct

2-9

Nov/Dec

2-17

Nov/Dec

20-32

E C O N O M IC C O N D ITIO N S

The temporary labor force
Lewis M. Segal and Daniel G. Sullivan
Does business development raise taxes?
William H. Oakland and William A. Testa
Big emerging markets and U.S. trade
Linda M. Aguilar and Mike A. Singer
M O N E Y A N D M O N E T A R Y P O LIC Y

Temporal instability of the unemployment-inflation relationship
Robert G. King, James H. Stock, and Mark W. Watson
Sectoral wage growth and inflation
Ellen R. Rissman
R E G IO N A L E C O N O M IC S

Midwest approaches to school reform
Richard H. Mattoon and William A. Testa
An analysis of the effect of Chicago school reform
on student performance
Thomas A. Downes and Jacquelyn L. Horowitz
Chicago’s economic transformation: Past and future
Graham Schindler, Philip Israilevich, and Geoffrey Hewings
The geography of lean manufacturing: Recent evidence from
the U.S. auto industry
Thomas H. Klier
Can alternative forms of governance help metropolitan areas?
Richard H. Mattoon
To order copies of any of these issues, or to receive a list of other publications,
telephone 3 12-322-5111 or write to
Public Information Center
Federal Reserve Bank of Chicago
P.O. Box 834
Chicago, IL 60690-0834

FEDERAL RESERVE



BANK OF CHICAGO

17

Rethinking
Bank Regulation:




What Should
Regulators Do?
Conference on Bank Structure and Competition
Federal Reserve Bank of Chicago
M a y 1-3, 1996

The Federal Reserve Bank of
Chicago invites research and policyDriented papers for submission to the
32nd annual Conference on Bank
Structure and Competition to be held
it the Westin Hotel in Chicago, Illinois,
May 1-3, 1996.
The major theme of the conference
will be an in-depth evaluation of bank
regulation. Historically, the American
public has been concerned with banks’
becoming excessively large and wielding
significant market power. As a result of
this concern and occasional turbulence in
financial markets, banks have been regu­
lated in nearly all aspects of their opera­
tions. Some consider them “quasi-public
utilities.” In the last two decades bank
regulation has been deemed excessive,

would generate highly inefficient and
inequitable distributions of resources?
If the answer is yes, and regulation
can be defended on economic grounds,
then what is the optimal regulatory
design? How can regulation address
these failures, complementing or limit­
ing market forces as necessary? Can the
goals of regulation be identified, and can
regulations be tied to specific market
failures? How effective are regulations
in achieving their objectives? Are there
unintended consequences? Do existing
regulations minimize or actually exacer­
bate market concentration and externali­
ties? Addressing these issues requires
evaluating specific regulations.
If specific regulations are appropri­
ate, what then is the optimal regulatory

Call for Papers
and a number of banking laws have been
implemented explicitly to deregulate the
industry. Yet many argue that the term
“deregulation” was actually a misnomer,
and that as one of the more extensively
regulated industries in the country, the
industry continues to be excessively
constrained. The conference will criti­
cally evaluate the rationale, intent, and
consequences of bank regulation.
Economists typically argue that reg­
ulation can be beneficial when market
failure causes inefficient resource alloca­
tion. This may happen because of con­
centration of market power, asymmetric
information, or market externalities —
which may make the economy more vul­
nerable to systemic crises. The question
then is determining whether the finan­
cial services sector requires regulation
to suppress market forces. Are potential
market failures so pronounced that, left
to their own devices, the financial markets



structure to achieve the stated goals?
Should regulation be institution-,
industry-, or function-based? Banks
obviously compete in the broader
financial services industry. Should a
single regulator supervise this industry?
If not, how much cooperation should
there be among domestic regulators?
Are there advantages to international
coordination by regulators? What
exactly should regulators be expected
to do? Should supervisory powers be
emphasized to direct industry behavior,
or should market information be utilized
to discipline bank behavior? How can
regulators be held accountable for their
supervisory decisions? Can regulators
use market information to more effec­
tively regulate banks? Is regulator
information superior to that of the
marketplace?
These questions encompass some
of the most fundamental public policy

issues facing the financial services
industry today, including systemic risk,
optimal merger activity, bank product
powers, and regulatory reform. The
1996 conference will focus on these
and related questions. We also welcome
papers on other financial structure
policy issues including
• international financial regulation,
• fair lending and community
development,
• structural change in the industry,
• the unique role of commercial and
investment banks in corporate
financing,
• the role of financial derivatives in
intermediation,
• the legal risk associated with financial
derivatives,
• payments system topics, and
• other topics related to the structure
and regulation of the financial services
industry.
If you would like to present a paper
at the conference, please submit/our
copies of the completed paper or an
abstract with your name, address, and
telephone number, and those of any
coauthors, by December 20,1995.
Address correspondence to
Conference on Bank Structure
and Competition
Research Department
Federal Reserve Bank of Chicago
230 South LaSalle Street
Chicago, Illinois 60604-1413

For additional information, call
Douglas Evanoff at 312/322-5814.

Can alternative forms of governance
help metropolitan areas?

R ichard H. M a tto o n

Economic development theo­
rists are increasingly promot­
ing the development of strong
regional economies as the key
to successfully attracting and
maintaining economic activity when global
competition and technological change are mak­
ing business location choices increasingly farflung.1 At the core of healthy regions are met­
ropolitan areas that offer the amenities and
services that businesses demand. One school
of thought suggests that while metropolitan
areas are particularly critical to regional eco­
nomic success, current growth patterns are
leading to urban sprawl and the inefficient
delivery of public goods and services that will
ultimately undermine the economic prospects
of entire metropolitan regions. Yet deconcen­
tration of economic activity is entirely rational
given the present rules of the economic devel­
opment game. Research has shown that any
town will receive a tax benefit from securing
commercial development even if that develop­
ment has negative spillover effects on the re­
gion.2 However, since there are no political
and economic structures to promote the re­
gion’s interests over those of individual towns,
the pattern of uncoordinated growth continues.
The most frequently suggested solution to this
problem is some form of centralized metropoli­
tan or regional government that can coordinate
growth and help the entire region to share the
benefits of economic growth.
In addition to the potential benefits of
coordinated regional growth, supporters of
consolidated metropolitan governments usually

suggest that economies of scale in the produc­
tion and distribution of public goods are avail­
able to larger government units.3 These effi­
ciencies lower the cost of government while
providing the types of uniform governmental
services that should appeal to businesses when
making locating and operating decisions.
The issue of metropolitan governance is of
particular interest to the Midwest. Central
cities in the region have been experiencing
population declines. Recent economic and
population growth in metropolitan areas has
been achieved largely by the spread of activity
into more distant suburbs, resulting in a pattern
of uncoordinated land use. Such development
is occurring in metropolitan areas across the
nation, but it is more noticeable in the industri­
al cities of the Midwest, where central cities
historically had high densities of both econom­
ic activity and population. While newer metro­
politan areas can be designed to accommodate
the infrastructure that is needed to promote
commerce, midwestern cities are often left
with an aging infrastructure that was designed
to support the commerce of the early 1900s,
not that of the 1990s. Given this disadvantage,
promoting a healthy and integrated region is
arguably more critical to the Midwest than to
other regions.
The Midwest is an appropriate arena in
which to examine the issue of metropolitan
governance, for it is home to some of the most

20

ECONOMIC PERSPECTIVES




Richard H. Mattoon is a senior regional economist
at the Federal Reserve Bank of Chicago. The author
wishes to thank William A. Testa for reviewing
earlier drafts of this article.

extreme examples of both consolidated and
fragmented government in the nation. From
the relatively tightly knit structure of Unigov
in Indianapolis to the highly fragmented struc­
ture of overlapping governments in Chicago,
the full range of government types is available.
This article will address the question of
whether there are advantages to changing some
aspects of metropolitan governance. It will
further assess some midwestern experiments in
metropolitan government.

Chicago metropolitan
Chicago city

35
-23

Cleveland metropolitan
Cleveland city

19
-45

Columbus metropolitan
Columbus city

89
68

H o w have m e tro p o lita n areas in th e
M id w e s t changed?

Detroit metropolitan
Detroit city

Population movement in the early 1900s
tended to be from rural areas to the central city.
Today, population is still moving from rural
areas to metropolitan areas, but at the same
time, the population within metropolitan areas
is spreading out of the central city into the
surrounding suburbs and outskirts. Thus in
many midwestern cities, while metropolitan
population has grown, the population of the
central urban areas has declined (see table 1).
This is the most significant dynamic influenc­
ing midwestern metropolitan areas.4
The spread of population out of the center
city is not a bad thing in itself. Some would
argue that the high population density in the
city helped create pollution, overcrowding, and
a variety of problems associated with conges­
tion. Some support for lower population densi­
ty can be drawn from the fact that density in
the fastest growing Sun Belt cities is signifi­
cantly lower than in “sister” midwestern cities.
This fact is sometimes interpreted to indicate
that lower density is better suited to promoting
growth in the current economy (see figure 1).
One urban analyst, David Rusk, has even sug­
gested that modern cities appear to have diffi­
culty growing economically once their popula­
tion density exceeds 5,000 people per square
mile.5 This is at least partially due to Ameri­
cans’ apparent preference for living in lowerdensity communities.
The economic conditions that once fa­
vored the development of high-density central
cities have moderated for several reasons. First
of all, many midwestern cities grew because
they were close to a natural resource that gave
them a comparative advantage over other loca­
tions. Often this was a river or other body of
water on which commerce could be transport­
ed. This economic advantage created others

Indianapolis metropolitan
Indianapolis city

72
71

Milwaukee metropolitan
Milwaukee city

41
-1


FEDERAL RESERVE


BANK OF CHICAGO

TABLE 1

Population growth, 1950-90
Percent change

35
-44

Sources: For Chicago, author's calculations.
For other cities, Rusk (1993).

that encouraged the clustering of the labor
force in the city.6 Today economic activity is
more often associated with concentrations of
capital and human skills than with natural
resource endowments. Since both capital and
labor are significantly more footloose than
natural resources, this has weakened the com­
parative advantage that cities derived from
their natural resources. Accordingly, growth
no longer needs to concentrate at a central
place. Instead, it has become multimodal, with
pockets of economic activity emerging
throughout a metropolitan region, in proximity
to each other but spread over a larger area. In
the process the boundaries between urban,
suburban, and rural areas have become blurred,
and the entire metropolitan region has become
more economically homogeneous.
Not all aspects of this deconcentration are
benign, and numerous analysts have questioned
whether it represents a new pattern of rational
economic growth or simply unregulated
sprawl.7 While the forces leading metropolitan
areas to spread out may reflect the natural
demands of the economy, the response of local
governments in dealing with the trend may be
producing new problems. Anthony Downs
argues that as development has moved out of
the cities, individual towns have adopted poli­
cies that protect their interests but create a
patchwork of regulations that ultimately harm
region-wide development prospects.8 Initially

21

services is receiving growing
attention, as efficient firms need
Population density, 1990
efficient government to help (or
thousands of people per square mile
at least not hinder) their perfor­
mance in the world economy.
A substantial body of re­
search since the 1920s has exam­
ined whether larger consolidated
governments are more efficient in
producing services than smaller,
more fragmented units. Bish and
Nourse (1975) summarize the
assumptions in favor of a single
consolidated government across
three dimensions. First, a metro­
politan area is actually a single
community linked by a shared
economy but artificially divided
by fragmented government juris­
dictions. Second, the metropoli­
tan-wide needs of citizens and
businesses cannot be met by this
fragmented governmental struc­
ture. Third, the elimination of
fragmented jurisdictions will
eliminate duplication and overlap
Note: Cities were paired that had simitar census populations in
1990. Densities are for the city proper, not the metropolitan area.
among governmental units in
favor of a single metropolitan
government that can more effi­
ciently provide public goods and services at
towns often pursue new commercial develop­
ment at virtually any cost, using tax breaks and
greater economies of scale.9 As the authors
point out, evidence as to whether this last as­
land write-downs as incentives. Little attention
sumption is true has been contradictory.
is paid to the increased congestion and pollu­
In an attempt to identify the optimal size
tion that may spill over into surrounding com­
munities, which may lack the infrastructure to
of government, economists have tried to esti­
support these new burdens. Since the property
mate the spillover effects and the scale econo­
mies that are produced when a central govern­
tax advantages of commercial development are
limited to the town in which the development
ment provides a uniform service across a
metropolitan region.10 If positive spillovers
occurs, adjacent communities are often forced
and significant scale economies exist, central­
to accommodate the development without any
ized provision of services may be warranted.
greater fiscal resources. Once residents decide
In general, this appears to be the case most
that additional growth is not desired, towns
often with government services that are wellmay move to the next stage of this process,
suited to technical solutions. For example,
instituting growth-management policies to
water, sewage disposal, and electric services
force development elsewhere or to regulate
appear to be most efficiently provided by a
closely the type of development that can occur.
centralized metropolitan-wide government.
A second issue: O p tim a l
Supporters of such government also argue that
g o v e rn m e n t size
mass transit, transit planning, and even land
Even if the potential harmful effects of
use planning also appear to benefit from cen­
urban sprawl were not a consideration, metro­
tral provision. Services that tend to be poorly
politan governance may be warranted on the
provided by centralized governments are
grounds of optimal government size. The
many social services such as education and
efficiency with which government provides its

22



FIGURE 1

ECONOMIC PERSPECTIVES

welfare. Moreover, localities may prefer to
decide for themselves what levels of these
services to provide.11
Economists in general have been careful
not to overstate the potential benefits of having
governmental services provided by single,
metropolitan-wide governments. Much of the
criticism of such government rests on the work
of Tiebout (1956), who suggested that consum­
ers are best served when they are free to move
and can choose communities that provide their
desired level of public services. The resulting
competition among communities not only
allows individual towns to provide their own
unique set of services, but also should in prin­
ciple control the size of government.
This view is supported by Eberts and
Gronberg (1988), who found a statistically
significant relationship between the number of
general-purpose governments at the metropoli­
tan and county level and their size as measured
by the share of personal income devoted to
local governmental expenditures. The more
general-purpose governments there are, the
smaller the share of personal income required
to support local government. While this find­
ing supports the idea that decentralized govern­
ment promotes fiscal competition and holds

down the cost of government, it does not indi­
cate whether such governments can provide
better-quality services than more centralized
governments. Not surprisingly, this uncertain­
ty has led to the policy prescription that a hy­
brid approach to providing governmental ser­
vices works best. Rather than uniformly sup­
porting either a centralized or a fragmented
government structure, this prescription argues
that one should consider the nature of the ser­
vice and assign its provision to the appropriate
level of government.
Can c e n tra liz e d m e tro p o lita n
g o vern an ce help w ith spraw l?

Whether a more centralized model of
governance could alter the current pattern of
metropolitan deconcentration really depends on
which forces are causing the population to
spread out.12 If deconcentration is occurring
because more efficient production and lower
transportation costs are available outside the
central city, then policies to reverse deconcen­
tration may simply promote inefficiency. If,
however, it is due to negative externalities
associated with the city such as social prob­
lems, then deconcentration may indicate an
inefficient distribution of available resources.

T A B LE 2

Correlations: Central city with metropolitan area and suburbs
Metropolitan
area

All suburban
counties3

Counties with
no central
cities

Counties
with central
cities

Population growth
1960-70
1970-80
1980-90

0.609
0.729
0.709

-0.188
0.261
0.273

-0.041
0.233
0.239

-0.322
0.317
0.401

Real per capita
income growth
1960-70
1970-80
1980-90

0.815
0.872
0.835

0.456
0.552
0.605

0.398
0.479
0.603

0.503
0.686
0.599

Average real house
value growth6
1970-80
1980-90

0.906
0.939

0.525
0.849

0.480
0.820

0.706
0.877

281

656

391

265

Number of
observations

includes all parts of the county except the central city.
bCity and suburban average house value correlations have fewer observations; reading across, the numbers of
observations for the 1970s are 224, 569, 359, and 210; for the 1980s they are 279, 651, 388, and 263.
Source: Voith (1993).

FEDERAL RESERVE



BANK OF CHICAGO

23

In this latter case, deconcentration may not
reflect some optimal reconfiguration of regional
resources, but rather, a type of sorting process in
which people and firms relocate to areas that
serve their individual needs but do not necessar­
ily promote the interests of the region. Anec­
dotal evidence about the growing pains associat­
ed with suburban growth suggests that decon­
centration is at least partially being driven more
by “flight from blight” than from some optimal
reconfiguring of resources to maximize efficien­
cy in the regional economy.13
However, a frequent criticism of efforts to
introduce metropolitan governance is that they
are thinly disguised attempts to force develop­
ment back into the central city. Those analysts
who believe metropolitan deconcentration will
improve regional economic efficiency suggest
that central cities may be an anachronism, and
that the increasing preference of firms for
suburban locations can result in healthy sub­
urbs able to function without a healthy central
city. In the Midwest, Detroit is often presented
as an example of such a scenario. On the sur­
face, it appears that the suburbs surrounding
Detroit have continued to flourish despite the
sharp decline of the central city. Those sub­
urbs may have absorbed the industries that
have left the city, in which case economic
activity has not left the area but simply has
redistributed itself. Since commercial develop­
ment usually benefits the community in which
it is located,14 it is not clear that suburban com­
munities would embrace a new form of gover­
nance that was expected to channel commercial
development back into the urban area. If they
did so, they would surrender the tax benefits
they would receive if they captured the devel­
opment themselves. However, evidence sug­
gests that healthy suburbs need healthy cities in
order to grow.15 Furthermore, anecdotal evi­
dence suggests that many of the healthiest
metropolitan areas rely more heavily on vari­
ous forms of regional governance.
Establishing a structure to promote regional
problem-solving and consensus-building has
become more important as cities and their sub­
urbs appear to have become more interdepen­
dent in important ways. A variety of research
has found links between the health of central
cities and the development prospects of the
suburbs.16 Gains in city and suburban popula­
tions, per capita income, and housing values are

24



positively correlated, and these relationships
have strengthened every decade since 1960 (see
table 2).17 Such positive relationships suggest
that population, income, and housing values in
the suburbs are related to (or at the very least
not independent of) the vitality of the central
city. However, one must interpret such correla­
tions carefully. Rather than reflecting greater
interdependence between city and suburbs, they
may simply indicate that as economic activity
has moved to the suburbs, suburban economies
have begun to resemble city economies and now
react to external forces in the same manner as
their city counterparts.
While much of this research is still quite
new, it has yielded two interesting findings.
First, the age of the city matters when it comes
to growth prospects. Second, the period over
which deconcentration is examined matters
when it comes to measuring whether suburbs
can flourish without a healthy central city.
Norton (1979) found that U.S. cities that devel­
oped before 1920 have faced significantly dif­
ferent economic prospects than cities developed
after 1920. The pre-1920 or “old” cities are
characterized as being largely landlocked, con­
structed before automobile transportation was
the dominant form of transportation, and having
high population densities. The younger, post1920 cities have lower population densities,
tend to have fewer spatial restrictions, and have
grown through active annexation of surrounding
areas. Norton examined the trends in popula­
tion, density, age of housing stock, and the ratio
of household incomes of city dwellers versus
suburbanites from 1950 to 1975 in order to
assess how the age of a city influenced growth.
The “old” cities in the sample, which had large
percentages of housing stock built before 1939,
shrank during this era; the young cities grew.
Norton’s sample included four midwestem
cities—Chicago and Detroit labeled old, India­
napolis labeled young, and Milwaukee some­
where in-between and labeled anomalous. If the
variables Norton examined are updated to 1990
for these cities, the pattern remains much the
same except in Milwaukee, which now appears
to behave more like the old cities than the new
(see table 3).
Initial decline in the central city may not
seem to set off any alarm bells, but over time,
it will affect the suburbs as well. Scholars of
metropolitan development have suggested that

ECONOMIC PERSPECTIVES

TABLE 3

Differences between “old” and “young” midwestern cities
A .1975

OLD

Chicago
Detroit

ANOMALOUS

Milwaukee

YOUNG

Indianapolis

Ratio of
household
income, city/
SMSA ring

Population
change.
1950-75

Population
density

Pre-1939
housing

(p e rc e n t)

(000s p e r sq. m ile )

(p e rc e n t)

-14
-28

15.1
11.0

67
62

73
82

4

7.6

55

73

67

1.9

40

107

Ratio of
per capita
income, city/
suburb, 1989

B .1990
Population
change.
1970-90

Population
density

Pre-1939
housing

(p e rc e n t)

(000s p e r sq. m ile )

(p e rc e n t)

8.9
4.2

45
36

66
53

OLD

Chicago
Detroit

-12.7
-21.4

ANOMALOUS

Milwaukee

-4.5

6

38

62

YOUNG

Indianapolis

-1.6

2

19

90

Sources: For 1975 data, Norton (1979). For 1990 data, author's calculations.

tions. Initially these may only be farther-outly­
it passes through six stages, as illustrated in
table 4.18 According to Rothblatt, the majority
ing suburbs, but as diseconomies spread
of U.S. cities are operating at stage 5, “absolute
throughout the metropolitan area, economic
activity will begin to leave the area altogether.
decentralization.”19 In this stage, the central
Such a scenario makes clear that the prob­
city’s population is shrinking, the metropolitan
lems and growth prospects of metropolitan
area’s population is growing, and the perceived
characteristics of the metropolitan area (such as
areas have become more interdependent. It
also makes clear the importance of establishing
tax burden, infrastructure, or congestion) are
seen as worsening. If the process moves to the
regional mechanisms to promote regional con­
sensus-building and problem-solving.
next stage, the decline of these characteristics
will accelerate. Rothblatt points
out that the consequences of this
evolution are particularly worri­
T A B LE 4
some in an increasingly global
Metropolitan development and population change
economy, in which firms have
M etropolitan
more choice in location and can
Stage
Ring
Core
area
leave declining areas. As urban
markets expand and become more
_
1. Centralization
+
+
competitive, firms must be efficient
2. Absolute centralization
++
+
++
in order to survive. This in turn
3. Relative centralization
+
++
+
requires well-managed and sup­
4. Relative decentralization
+
+
portive metropolitan areas. If de­
5. Absolute decentralization
+
concentration leads to metropolitan
6. Decentralization
diseconomies such as traffic con­
Souce: R o thb latt (1993).
gestion and higher housing prices,
firms will begin to seek other loca­


FEDERAL RESERVE


RANK OF CHICAGO

25

Is there a better way?

Developing a better structure for govern­
ing metropolitan growth has long been of inter­
est to planners and academics. Voters and
politicians, however, have viewed such propos­
als with suspicion, envisioning an additional
layer of government that would only duplicate
existing governmental functions without pro­
viding any clear benefits. In addition, local
governments are unlikely to want to cede pow­
ers to a new level of government.
Nevertheless, some notable examples of
metropolitan governance allow us to assess its
potential benefits. In the Midwest, these in­
clude the Metropolitan Council of Minneapolis/St. Paul, Unigov in Indianapolis, and the
Allegheny Regional Asset District in Pitts­
burgh. None of these has been as ambitious or
as successful in many ways as large-scale ef­
forts such as Toronto’s.20 In most cases, met­
ropolitan governments have been established to
fill planning gaps between other existing levels
of government. These governments are not
designed to function in any comprehensive
fashion. As such, they provide limited exam­
ples of the potential for metropolitan gover­
nance rather than serving as ready-made mod­
els to be implemented elsewhere.
Minneapolis-St. Paul

Metropolitan governance has a longer
history in the Twin Cities than in virtually any
other U.S. city. As early as 1957, the Metro­
politan Planning Commission (MPC) was
established to coordinate issues of regional
growth.21 However, this was a voluntary coun­
cil of governments that proved largely ineffec­
tive in managing growth. While the MPC was
well equipped to study the nature of growth
problems and to suggest potential solutions, it
could not enforce any of its suggestions. Once
this became apparent, the MPC was supplanted
by the Metropolitan Council of the Twin Cities
in 1967. The council has been credited with
notable successes, but significant obstacles still
prevent it from operating as a fully developed
regional policymaker.
The Metropolitan Council covers seven
counties in the metropolitan area containing
roughly 272 governments: 7 county, 138 city,
50 township, 49 school district, 6 metropoli­
tan, and 22 special purpose districts. Proba­
bly none of these governments has a signifi­

26



cant interest in reducing its own authority.
Accordingly, the role of the council from the
beginning was to fill the gaps, handling issues
that other governments were unwilling or
unable to manage. Its charge was to coordi­
nate planning, particularly in the area of phys­
ical infrastructure.
The council’s structure has several unique
aspects. First, although its interactions are
with local and county governments, it was
created by the state legislature, to which it
reports. This suggests that the council’s pri­
mary audience may be state rather than local
government, although over time, local consid­
erations appear to have become more influen­
tial in the council’s deliberations. Second, all
17 council members are appointed by the
governor, with some input from legislators
from the metropolitan area’s districts. Being
appointed may help protect council members
from feeling particularly beholden to parochi­
al interests, since they are not forced to re­
spond to a local constituency. On the other
hand, it reduces the leverage of the council
members, since they lack broad-based public
support and are rarely well known within the
metropolitan area. Third, by design the coun­
cil has very little operating authority. While
it oversees and approves the budgets of some
smaller regional operating authorities, its
main charge is to review and plan for longrange expenditures in the region. The council
has proven to be reasonably effective in carry­
ing out this charge in the area of physical
infrastructure. Critics have suggested that the
council has been less effective in social poli­
cy; its efforts in health care and education
have so far been largely unsuccessful.
Two widely acknowledged partial success­
es for the council were its 1973 Metropolitan
Development Guide and its successful tax-base
sharing program. The former was an ambitious
state-mandated plan to rationalize growth within
the region in order to prevent urban sprawl. Its
major goal was to stop development from leap­
frogging into rural locations, directing it instead
to the central city and the already heavily devel­
oped first-ring suburbs with existing infrastruc­
ture. In addition to this primary goal, the plan
had subsidiary goals of preserving the natural
environment, expanding people’s social choices,
lowering the concentration of minorities in the
central city, and diversifying the sources of

ECONOMIC PERSPECTIVES

regional economic growth. Two other objec­
tives were to increase the equitability of financ­
ing for public services and increase citizen in­
volvement in regional governance.
Assessments of the council’s efforts to
channel development have been mixed. Clearly,
the Twin Cities shifted some development into
the central city during the mid-1970s and 1980s.
Commercial construction in the city remained
strong, and the economic prominence of Minneapolis-St. Paul was enhanced. The central city
did lose population during this period, particu­
larly in comparison to the outer-ring suburbs.
But there is some evidence that growth was
channeled into the first-ring suburbs, which
suggests that the council’s efforts were at least
partly successful. Population density in the
close-in suburbs rose, perhaps because in-fill
development appeared more attractive. While
population growth accelerated in the outlying
suburbs, commercial development did not leap­
frog in the usual pattern. Enforcing this con­
tainment were limitations on sewer and water
extensions onto working farmland.
The plan’s success was limited in another
way as well. While development within the
designated planning area was influenced, uncon­
trolled development continued in the fringe area
just outside the five districts under the council’s
jurisdiction. Since the plan did not allow the
districts to annex the surrounding areas, growth
on the fringe went largely unchecked.
A second major effort of the council that
has met with some success is mandated taxbase sharing. In 1974, Minnesota’s Fiscal
Disparities Act was passed with the goal of
reducing the disparities in the tax base between
towns caused by the concentration of commer­
cial activity. Proponents of the act argued that
towns that attracted commercial activity re­
ceived significant tax benefits, while neighbor­
ing areas had to deal with the spillover effects
without receiving any tax benefit. Using 1971
as the base year, the law stipulated that 40
percent of the net gain in new commercial and
industrial development would be dedicated to a
tax-base-sharing pool that would channel mon­
ey to communities unable to attract commercial
development. Allocations would be based on a
formula that took into account population
growth and the fiscal capacity of each town.
With this plan, the ratio between the highest
and lowest commercial and industrial tax base

FEDERAL RESERVE



BANK OF CHICAGO

per capita in 1991 was 4 to 1; without the plan,
it would have been 22 to 1.22 The primary
beneficiaries of this plan have been fast-grow­
ing residential areas lacking commercial devel­
opment. Ironically, because of the concentra­
tion of commercial construction downtown, the
central city has ended up a net contributor.
Many analysts have rated the Metropolitan
Council as at least a partial success. It has had a
significant influence in planning infrastructure,
ranging from development of the metropolitan
airport to the siting of the Metrodome sports
complex and the giant retail center, the Mall of
America. However, because the council lacks
enforcement power, its influence is largely
limited to its powers of persuasion. Part of its
success is attributed to the belief that the Twin
Cities region appears to be more accepting of
the notion that without a strong and vital central
city, the region will be unable to compete for
jobs and new industries. The region’s alleged
acceptance of this notion in turn appears due to
two factors. First, it is the only significant met­
ropolitan area within a 400-mile radius. This
relative isolation means that no other place in
the region is likely to be a significant draw for
new economic activity. Second, intraregional
options for economic growth are few. Growth
in the region’s agricultural industries appears
limited, and the region’s traditional mining
activity has faded. Accordingly, the health of
Minnesota’s economy has become more heavily
dependent on the success of the metropolitan
Minneapolis-St. Paul area.
Perhaps another reason for the greater
acceptance of metropolitan governance is cul­
tural. The northern European population that
was initially drawn to this area embraced coop­
erative ventures, with farming, dairy, electrifi­
cation, and even housing co-ops relatively
common. Some analysts have suggested that
this has carried over into a greater acceptance
of government structures drawing on broad
networks of resources. A final reason for the
success of the Twin Cities’ regional gover­
nance may be the area’s cultural homogeneity.
Some evidence suggests that the more racially
different the populations of the central city and
the surrounding suburbs, the less likely the
region is to embrace metropolitan governance,
particularly when it perceives such governance
as primarily a measure to help the central city
at the suburbs’ expense. As the Twin Cities’

27

minority population stands at only 12 percent,
this is the most homogeneous metropolitan
area of the thirty largest in the country.23
These factors may have combined to make
acceptance of metropolitan governance more
likely in the Twin Cities region. However,
even in this more friendly environment, such a
structure is seen largely as filling gaps between
other layers of government. Without enforce­
ment powers and without the ability to annex
new areas as the region grows, the future of the
Metropolitan Council is still unclear. It has yet
to demonstrate that it can successfully address
social infrastructure problems. As with most
governments, once its role is defined, it may
have difficulty reinventing itself.
Indianapolis and Unigov

Another Midwest experiment in regional
governance is Unigov in Indianapolis. In the
late 1960s, Indianapolis Mayor Richard Lugar
established the Governmental Reorganization
Task Force to investigate the potential for
creating a unified county-city governance
structure for Indianapolis and the surrounding
municipalities in Marion County. The origi­
nal goal was not a single body responsible for
all governmental functions in the area, but
only a unified legislative body—the CityCounty Council, with the mayor of Indianapo­
lis as its Chair.24
Initial support for Unigov was not over­
whelming. Many city constituents, particularly
black residents, saw it as an attempt to dilute
their political influence. Although minorities
were a growing segment of the city’s popula­
tion, Unigov would add 113,000 mostly white
suburban residents to the electorate that would
then total 406,000 voters. These numbers
would swing the city-county elections to the
Republicans. Proponents of Unigov recognized
that support for the new consolidated structure
might not run deep and chose not to seek a voter
referendum to approve it. Instead, Unigov was
ultimately approved only by the Indiana legisla­
ture. Unigov’s proponents brought a voluntary
lawsuit against themselves in order to ratify the
legitimacy of the new structure and forestall
potential court challenges.25
Marion County still contains 50 separate
local governments and 100 taxing units. But
the Unigov legislation created Indiana’s only
consolidated city, with geographic boundaries
that roughly equate to those of Marion County.

28



The boundaries of Indianapolis expanded from
82 to 402 square miles, its population from
480,000 to 740,000. The legislative body
responsible for governing the area is the 29member City-County Council elected to fouryear terms, 25 from single districts, 4 at large.
The mayor is the executive of the consolidated
city and is elected city-wide.
The consolidated city has six administra­
tive departments below the mayor’s office:
Administration, Metropolitan Development,
Parks and Recreation, Public Safety, Public
Works and Transportation, and Public Health.
Housed in the executive branch, these depart­
ments provide county-wide services that had
previously been performed by 16 independent
special-purpose corporations. Six independent
municipal corporations remain outside the
consolidated city’s direct control. These cor­
porations tend to be single-function govern­
ments (the Health and Hospital Corporation,
the Airport Authority, the Public Transit Au­
thority, and the Public Library), but they also
include the more broadly chartered Capital
Improvement Board and the City-County
Building Authority. Even though these remain
independent corporations, the City-County
Council has been given the power to review
their budgets and appoint governing members
to their boards.
Other notable government units not con­
tained in Unigov include the Marion County
government, which still exists in a diminished
form, and the county court system. In addition,
when Unigov was created, four municipalities
received “excluded cities” status and retained
their own government structures. Another 17
municipalities received the ambiguous designa­
tion of “included towns,” which meant that
while they maintained their own local govern­
ment, they could vote in the county-city elec­
tions because they paid taxes and received
certain consolidated city services. Finally,
independent school districts were left out of the
Unigov structure. The disadvantage of this
structure is that it makes for a patchwork in
terms of the geographic area and way in which
services are provided.26
Despite this somewhat awkward frame­
work, Unigov has provided revenue benefits to
the consolidated city and has permitted revenue
diversification that probably would not have
occurred otherwise. Some of this diversifica­

ECONOMIC PERSPECTIVES

tion has been forced on the consolidated city
by actions of the state and federal government,
but the enlarged scope of the city has enabled
greater flexibility in dealing with changes in
revenue structure. For example, in 1973 the
state legislature passed a property-tax reform
measure designed to limit the growth in the
property-tax rate. Towns were compensated
through a state property-tax replacement fund,
whose revenues were derived from an increase
in the sales tax. Since this measure put a limit
on future growth in the property tax, the search
for alternative revenues became increasingly
important. Similarly, the decline in federal
support, particularly block grants, made local
revenue-raising more important. Unigov
helped expand the fiscal base of the city and
allowed the passage of new revenue-raising
options that have not made the central city
prohibitively more expensive (from a tax per­
spective) than adjacent communities. A county
option income tax was adopted in 1983; a 10
percent county excise tax on automobiles and a
wheel tax on trucks were also adopted. Fees
and charges on sewers, solid waste collection,
building permits, and other services have also
been adopted, but since these are county-wide,
they do not unduly distort the city’s tax base
relative to other communities.
Similarly, Indianapolis has pursued the
usual array of tax incentives to attract and
retain businesses in the area, but because it can
draw on the larger tax base of the consolidated
city, the cost of the incentives to the individual
town is reduced. In turn, the benefits of added
economic development can be shared county­
wide. The city-county government has also
used its powers of eminent domain to rational­
ize economic development by assembling
appropriate parcels of land for development.
While these measures have helped with
both economic growth and revenue-raising,
they have not eliminated disparities in property
tax rates between counties. In 1992 there were
60 applicable property tax levies and 63 de­
fined taxing jurisdictions within Marion Coun­
ty. Nominal property tax rates ranged from
$7.92 to $13.09 per $100 assessed valuation.
This variation is because certain services are
still supported only by the local tax base, not
that of the consolidated city. In the community
with the highest tax rate (Center Township in
downtown Indianapolis), public assistance

FEDERAL RESERVE



BANK OF CHICAGO

needs run high and are supported exclusively
by property taxes imposed on Center Township
properties.
Finally, one fiscal advantage that Unigov
has provided is the ability to borrow money.
The expansion of the city’s boundaries to in­
clude the surrounding suburbs has made it
easier to finance large-scale capital projects,
since the expanded tax base can support them.
It has also arguably lowered debt costs, since
the increased flexibility provided by the larger
and more diverse tax base has led bond rating
agencies to give Indianapolis consistently high
debt ratings.27
Allegheny Regional A sse t D is tric t

One of the most recent attempts at region­
al government is the Pittsburgh-area Allegh­
eny Regional Asset District.28 Established in
1994, this governmental body was designed
by the County Commissioners to address five
policy objectives: improving and stabilizing
funding for regional assets, correcting funding
inequities for Pittsburgh, relieving overreli­
ance on selected taxes (particularly property
taxes), reducing fiscal disparities between rich
and poor communities, and enhancing region­
al cooperation. The district has no direct
taxing authority but receives 50 percent of the
proceeds from the 1 percent county-wide local
option sales tax. It uses these funds to sup­
port so-called regional crown jewels—ameni­
ties located in Allegheny County that benefit
all residents.
In 1995, 30 percent of the district’s funds
went to parks and 32 percent to libraries. Oth­
er recipients were sports venues, cultural enti­
ties, and special facilities such as zoos. Many
of these regional assets are in the city of Pitts­
burgh and have a recent history of financial
distress. City resources for funding them have
become strained as the central city’s growth
has lagged that of the suburbs. This left Pitts­
burgh in an awkward position. While it was
still the heart of the region’s economy, it was
having to fund amenities that no longer prima­
rily benefited city residents. For example, the
city zoo was funded primarily by the city be­
fore the district was created, although 75 per­
cent to 85 percent of the visitors to the zoo
lived outside the city limits. The creation of the
district has saved the city approximately $16
million in annual expenditures on this and
other crown jewels.

29

The county government and 128 municipal
governments spend the remaining 50 percent of
the sales tax proceeds on the other policy ob­
jectives endorsed by the County Commission­
ers. Allegheny County uses its 25 percent of
the total sales tax revenues to reduce property
taxes by 25 percent and to eliminate the coun­
ty-wide personal property tax. The remaining
funds are distributed to municipalities on a
formula basis that recognizes municipal need.
The local governments are required to use twothirds of the revenue to reduce local taxes.
Specifically, Pittsburgh is required to use all of
its sales tax revenues to eliminate the city’s
portion of the personal property tax and to cut
the city’s admissions tax for sports and enter­
tainment events from 10 percent to 5 percent.
The district is run by a seven-member
citizen board. Board members may not be
public employees, elected officials, or relatives
of elected officials. Four members of the
board are appointed by the County Commis­
sioners and two by the mayor of Pittsburgh; the
seventh member is chosen by the other six
from a list of nominees provided by regional
agencies within the area. The governor is also
allowed to appoint an eighth non-voting mem­
ber. Board members decide which regional
assets are eligible for funding. Although a few
assets are specifically excluded (schools, health
care facilities, and parks of less than 200
acres), virtually anything else can qualify.
Funding is provided only if six of the seven
board members approve.
It is too soon to assess the success of the
Allegheny County effort, but as a new experi­
ment in regional government, this method of
supporting regional assets will receive a great
deal of attention in the future. The concept of
identifying and supporting assets that benefit
the entire region and enhance its image as a
good place to live and work is intuitively
appealing. Thanks to a regional funding
structure, the area’s crown jewels can be
maintained even if they are located in places
whose tax base can no longer provide the
support they require. Finally, the regional
governance structure may foster a more coor­
dinated strategy for promoting the benefits of

30


the region, rather than those of individual
towns. By supporting regional assets, this
structure may lessen the friction between
urban and suburban interests.
Conclusion: Why is m etropolitan
governance im portant now?

The purpose of creating a more cohesive
metropolitan region is worth restating. Effi­
cient firms cannot function for very long in
inefficiently configured metropolitan regions.
With efficiency and productivity consider­
ations guiding the development of many firms,
local barriers that prevent firms from improv­
ing their situation will certainly hurt the devel­
opment prospects of most regions. Metropoli­
tan governance, or at the very least a mecha­
nism for recognizing regional goals for devel­
opment, can help rationalize growth and help
prevent the many problems that occur when
each town charts a development course that
provides only for its own interests.
Much of what metropolitan governance
can do is related to better land use planning.
Infrastructure and development plans can be
coordinated to ensure that balanced develop­
ment can occur and that commercial develop­
ment is balanced with needed regional ameni­
ties such as parks and open spaces. Ultimately,
the purpose of metropolitan governance is to
promote a highly efficient metropolitan region
that is properly configured to support growth
in a more rational form. The characteristics of
this metropolitan region would most likely
include a governmental structure that promotes
regional planning and problem-solving, highor mixed-density bounded-growth communi­
ties surrounded by open space, and greenbelt
areas related to mass transit facilities that move
people to and from jobs and shopping centers.
Finally, new jobs would be concentrated in
defined employment clusters where employ­
ment growth could best be accommodated.
While the above characteristics are per­
haps the ideal, simply recognizing the linkages
within metropolitan regions would benefit
midwestern cities as they attempt to reinvent
themselves for the economy of the next centu­
ry. Clearly the current pattern of economic
growth does not appear sustainable.

ECONOMIC PERSPECTIVES

NOTES
'See Mattoon (1993).

l7Voith (1993), p. 2.

2Oakland and Testa (1995).

l8Rothblatt (1993).

3For a discussion of issues concerning optimal govern­
ment size, see Zax (1988). For a different perspective, see
Eberts and Gronberg (1990).

l9Ibid.

4Szatan and Testa (1994) chronicle this dynamic.
5Rusk (1993), p. 14.

“ Metro Toronto was created in 1953 to fuse the city of
Toronto and 12 of its suburbs into a metropolitan govern­
ment. It has been widely hailed as a model of efficiency
in land use and infrastructure development. For an evalu­
ation of Metro Toronto, see Frisken (1993).

7See, for example, Downs (1994) or Rusk (1993).

“The following description of Minneapolis-St. Paul’s
experience with metropolitan governance is based on
Martin (1993).

"Downs (1994).

22Smith (1994).

l’Bish and Nourse (1975), p. 200.

“ Martin (1993), p. 207.

"’Oates (1977), p. 6.

24Blomquest (1994a).

"Bish and Nourse (1975), p. 201.

“ Blomquest (1994c).

,2Voith (1993), p. 3.

“ Blomquest (1994b).

“For a discussion of “flight from blight,” see Voith (1992).

“ Kirk (1994).

IJOakland and Testa (1995).

“Turner (1995).

hHansen (1974).

“Savitch et at. (1993); Voith (1993).
l6Voith (1992 and 1993), Van Der Veer (1994), and
Savitch et al. (1993).

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, “Unigov and political participation,” in The Encyclopedia of Indianapo­
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FEDERAL RESERVE BANK OF CHICAGO



31

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32



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