Location trends of large company headquarters during the 1990s.
Klier, Thomas ; Testa, William
Metropolitan areas highly value the presence of company
headquarters, and local governments tend to actively pursue and attract
them. The keen competition among Chicago, Dallas-Ft. Worth, and Denver
in April and May 2001 in the wake of Boeing's announcement that it
would relocate its headquarters from Seattle highlighted the perceived
benefits, including prestige, that the presence of a well-known company
can confer on a metropolitan area. Of course, there are also tangible
benefits. Headquarters employ a sizable and highly skilled white-collar
work force and generate local demand for numerous specialized business
services such as accounting and legal. In addition, headquarters often
play a major role in corporate giving, as well as what are generally
referred to as corporate citizen activities (Schwartz, 1997). It is not
unusual to find that the landscape of a town has been defined by the
presence of one or more corporate headquarters. For example, Columbus,
Indiana, is dominated by public buildings designed by noted architects,
courtesy of Cummins Engine and other local donors. Similarly, Eli Lilly,
headquartered in Indianapolis, supports numerous local charities and
public programs through the Lilly Endowment.
In this article, we provide information on recent locational trends
for company headquarters, which will be helpful to policymakers as they
design development efforts and expenditures. We document changes in the
spatial distribution of corporate headquarters of large U.S. domiciled corporations during the most recent decade. In order to perform this
analysis, we use a comprehensive set of data on publicly traded
companies--specifically companies employing more than 2,500 people
worldwide. We allocate headquarters to the 50 most populous metropolitan
areas for 1990 and 2000 and examine the spatial changes that have taken
place across 1) individual metro areas, 2) U.S. Census regions, and 3)
the distribution of metro areas with respect to their population size.
To identify and disentangle spatial changes, we further examine the
sources and nature of headquarters growth across metropolitan areas
using both simple data displays and multiple regression analysis. The
regression analysis allows us to distinguish am ong competing factors in
their influence on the location of headquarters.
Because policymakers are interested in attracting footloose headquarters, and perhaps nurturing small local companies as they grow
to become large ones, we also document the extent and nature of
headquarters turnover or "churn" for three sample cities--New
York, Chicago, and San Francisco--between 1990 and 2000. We find a high
degree of turnover and migration of headquarters, but an even higher
degree of headquarters growth that has come about as small local
companies have grown large. This result implies that policies to assist
the growth of local indigenous firms of smaller size may be more
beneficial than policies aimed at recruitment of footloose companies.
Policymakers and site selection professionals will also be
interested in the evidence we provide as to where headquarters are now
emerging. Several broad spatial shifts in headquarters location have
been observed prior to the 1990s. One of the persistent characteristics
of the U.S. economy has been the concentrated location of large company
headquarters in a relatively small number of large metropolitan areas.
That is not surprising if one considers the nature of headquarters
operations. Headquarters employ highly skilled professionals and they
demand ready access to high-level business services, such as legal,
financial, and advertising--all of which tend to be found in large
metropolitan areas. Furthermore, since headquarters facilities must
control and administer an often far-flung organization, ready access to
state-of-the art communications infrastructure, as well as personal
transportation--that is, air transportation and connections--are a
necessity in today's economy. As a result of these demands, a
relatively small number of metro areas enjoy a comparative advantage in
hosting headquarters.
Our findings on headquarters location are generally consistent with
those of earlier studies. Large metropolitan areas continue to have a
comparative advantage in hosting headquarters of large companies. In
fact, our analysis reveals no change in the overall share of large
company headquarters domiciled in the 50 largest U.S. metropolitan areas
between 1990 and 2000. However, there have been significant shifts
within this distribution of metropolitan areas. Among the 50 largest
metropolitan areas, those with population between 1 million and 2
million experienced the largest growth in population in the 1990s and
developed concentrations of large company headquarters. In contrast, New
York, the largest metropolitan area, continued its long-term trend of
slowly losing dominance in terms of headquarters count. More generally,
we find no evidence that the very largest metropolitan areas increased
their share of corporate headquarters during the decade. Indeed, the
share of headquarters domiciled in the five large st metropolitan areas
fell from 36 percent in 1990 to 33 percent in 2000.
This shrinkage at the top of the distribution is something of a
surprise, because the rapid globalization trends during the 1990s were
predicted to give rise to an increased concentration, that is, a few
global headquarters cities. The reasoning goes that, as trade,
transportation, and communications barriers fall, as they did in the
1990s, the potential market size of large companies grows. At the same
time, the complexity of the corporate control functions for these
companies increases. As a result, headquarters will increasingly locate
in a small number of cities having abundant and specialized business and
financial services or in cities with very intense concentrations of such
industries. In these places, the firm administering a national or
international market can stay abreast of innovation and otherwise
acquire the information, ideas, and assistance it needs to succeed.
Furthermore, headquarters will find it advantageous to locate near
others of their ilk, again supporting the trend toward concentrat ion in
a small number of services-intensive metro areas. To some degree, this
tendency was borne out in our multiple regression analysis; those
metropolitan areas containing high concentrations of financial services
activity were favored with greater headquarters gains over the decade of
the 1990s. However, our finding that the most populous cities continue
to lose share may also mean that the technological advances and falling
costs of travel and communication have improved the ability of
headquarters located in smaller cities to gather information and
services and to administer their far-flung global markets and
operations.
Another reason that large cities have not done better is that
population and associated markets have been shifting to mid-tier cities,
especially in the South and West. Headquarters locations often follow
shifting markets; indeed, we find that a regression variable reflecting
market growth--specifically, population growth--tends to correlate with
headquarters growth. A variable indicating that the metropolitan area is
located in the South census region is also significantly related to
headquarters growth. While the West gained population as well, it did
not gain headquarters to the same extent as the South. Apparently, in
addition to the beneficial effects of local market growth, several
prominent urban areas in the South have matured as commercial centers.
In particular, Atlanta, Houston, Nashville, and Southeast Florida laid
claim to much of the region's increase in corporate headquarters.
We also find that, since regions tend to specialize in certain
industries, headquarters concentration has tended to grow along with
metro areas and their specialized industries. Large headquarters often
emerge in the cities and regions in which successful new companies or
industries grow. This is especially so for young industries and
companies that rely heavily on research and development (R&D) and
new technologies, for which close communication between the central
office, lab, and production operations is essential. For example, we
would expect the emergence of high-technology industries in Silicon
Valley to have been accompanied by the growth of large corporate
headquarters in the San Francisco Bay area, and this has in fact been
the case. This metropolitan area did remarkably well in increasing its
tally of corporate headquarters during the 1990s, garnering most of the
growth of companies associated with the so-called new economy. In fact,
just under half of the increase in headquarters there during the decade
resulted from the growth of existing companies. (1) More generally, we
find that the shift in the geographic distribution of high-tech industry
headquarters over the decade is unlike the overall trend displayed for
all industries. That is, high-tech headquarters are becoming more
concentrated in large metropolitan areas rather than dispersing toward
the smaller and medium-sized cities.
Financial companies--especially banks--have also bucked the general
trend by shifting toward larger metropolitan areas. In this instance,
profound deregulation has encouraged firm consolidation and market
expansion. In response, the now-larger companies have chosen to locate
their headquarters in larger metropolitan areas.
Overall, then, our findings for the 1990s suggest that the largest
urban areas continue to be highly preferred as headquarters locations.
However, we identify a changing trend in the distribution of large
headquarters across metropolitan areas. This trend implies that the
second tier of metropolitan areas may begin to enjoy greater success in
the competition for headquarters. The evidence shows that corporate
headquarters are dispersing to mid-sized metropolitan areas and
following shifting population and markets, especially toward the South.
We also find that, for all metro areas, policies that emphasize the
nurturing and growth of local companies rather than, or in addition to,
recruitment of firms from outside the area may be beneficial. Our
research indicates that company headquarters do not migrate so much as
they grow and decline.
Literature review
The growth and locational patterns of large corporate headquarters
have been a subject of research since the latter half of the twentieth
century (see Lichtenberg, 1960, Evans, 1973, and Quante, 1976, for a
synopsis of earlier work). Studies have examined various periods and
drawn on a variety of data sources. Generally, the work utilizing large
data sets tends to be cross-sectional, whereas studies tracking the
distribution of headquarters over time tend to rely on Fortune 500 data.
Horst and Koropeckyi (2000) and Holloway and Wheeler (1991) base their
time-series analysis on data for Fortune 500 companies. Holloway and
Wheeler (1991) conduct their empirical analysis for the 1980s using
annual data for that decade. Horst and Koropeckyi (2000) utilize the
same data from 1975 through 1999 (in five-year intervals). Shilton and
Stanley (1999) utilize data for all publicly traded companies,
regardless of company size, and Davis (2000) draws on data from the
Survey of Auxiliary Establishments (U.S. Bureau of the C ensus).
A common finding in all these papers is the high degree of
concentration among headquarters. For example, Shilton and Stanley
(1999) report that 40 percent of their sample is located in only 20 U.S.
counties. They explain this stylized fact by the comparative advantage
of cities to support headquarters operations. In fact, Horst and
Koropeckyi (2000) report a strengthening of that effect during the 1990s
as evidenced by a substantial drop in Fortune 500 headquarters located
in non-metropolitan counties. In addition, the advantage of certain
cities in hosting headquarters seems to depend little on the historical
and perhaps serendipitous presence of individual companies. For example,
despite Boston's ongoing strength as a domicile of Fortune 500
companies headquarters, only two of the 15 present in 1999 had been
there since 1975 (Horst and Koropeckyi, 2000).
What exactly are the competitive advantages of large cities? The
central function of corporate headquarters is the acquiring and
dissemination of information. The demand side of the profit equation
requires that corporate headquarters stay abreast of emerging
developments in their markets. Meanwhile, the competitive supply or cost
element of the profit equation suggests that firms must adapt new
production technologies and management strategies. In turn, both of
these categories of activities will often require dissemination of
information and administration to a wide-ranging geography of
operations. Thus, major airports represent a critical infrastructure for
corporate headquarters, along with major highways, and
telecommunications (Dow Jones, Inc., 1977). Air connections allow
headquarters personnel to travel to direct their own operations both
domestic and international, as well as to interact with others in their
industry at conventions and trade shows (Boyle, 1990). Significantly, a
major airport also b rings meetings, conventions, suppliers, and
customers into the home city.
Several other features of the headquarters as a learning operation
also imply a need for the large scale of a metropolitan area. The
learning curve of technology is often shortened by proximity to other
similar firms, as firms learn of new ideas through interaction. For
example, Walcott (2001) documents the location of both health and
bio-tech firms in proximity to Eli Lilly in Indianapolis (and in other
production centers and emerging markets) as contributing to the
company's successful acquisition of information. Accordingly, the
clustering of firms can reflect a competitive advantage (Porter, 2000;
Glasmeier, 1988). Professionals and highly skilled personnel are also
more easily recruited and retained in cluster locations (Dow Jones,
1977). This follows as job mobility and advancement are enhanced by the
information and career advancement opportunities that proximity to a
host of firms and jobs provide to both the primary worker and, often, to
the spouse (Ady, 1986).
The persistent concentration of headquarters in certain individual
cities that contain important business service sectors, such as New York
and Chicago, also points to the ready access to purchased services as
enabling factors for the concentration of headquarters. Concentrations
of business service firms, such as media, law, accounting, and
consulting, in large cities may enable firms to achieve cost and price
advantages by shopping among a host of nearby business service
providers. Possibly these services are purchased by headquarters and
subsequently delivered to branch operations throughout the organization
(see Ono, 2001).
So too, the purchase of business services can be part of the
organization's learning functions. Companies also learn and acquire
services effectively from sources outside of their own industry.
Lichtenberg (1960) observed the following 40 years ago: "Like
producers of unstandardized products, the central office executives
'produce' answers to unstandardized problems, problems that
change frequently, radically, and unpredictably. ... These problems are
solved quickly only by consultation with a succession of experts. But
... most central offices would find it inefficient if not impossible to
staff themselves internally with all of the specialized personnel and
services that they must call on from time to time to solve their
problems. Nor is it convenient to transport the experts to their plants
or maintain effective contact by telephone or letter. ... All of these
considerations dictate a concentration of central offices in a tight
cluster near each other and near their 'suppliers'."
In recent years, however, we have seen a loosening of the location
ties of business services industry and corporate headquarters. In
particular, the phenomenon of outsourcing, along with advances in
communication and air travel, may be facilitating a shift of large
corporate headquarters away from the very large metropolitan areas that
once dominated. Sassen (2001a) observes that many of the largest cities
worldwide-- particularly London, New York, and Chicago--have been losing
numbers of headquarters of the world's largest companies for over
three decades, even while business service industries there continue to
grow. (2) She hypothesizes that the outsourcing of complex service
functions by global headquarters operations has been accelerating, and
that this has liberated corporate headquarters to locate in any number
of places that may be strategic for administration or control of the
company's establishments. Drucker (1989) once advised firms to
"sell the mail room," while Sassen now claims that they are s
elling both the mail room and the board room. Hence, the locational
concentration of complex business services rather than headquarters
themselves has become the key feature by which to identify dominant
"global cities." (3)
It is not only outsourcing of business services that may be
liberating corporate headquarters from large cities. Technological
changes are inexorably lowering the costs of communications and travel
to corporate headquarters themselves. While globalization and
technological changes are expanding potential markets for companies and
increasing the complexity of management operations, they are also
enabling cheaper and more effective communication across the world and
across the spectrum of a company's facilities. The need for
face-to-face communication to efficiently solve the most complex
problems and the most delicate negotiations may never be eliminated by
electronic communication (Quante, 1976). However, the use of remote
communications is certainly accelerating (Townsend, 2001). As a result,
administration from smaller and more remote locations may be easier than
before. For now, the tensions between firm complexity/scope and better
communications technology may be partly offsetting each other in terms
of their effects on headquarters location and city size.
Still, headquarters concentrations may be shifting toward metro
areas that do not rank at the top of the size distribution. Horst and
Koropeckyi (2000) and Holloway and Wheeler (1991) analyze the change
over time in the concentration of headquarters location across
metropolitan areas. Both studies find evidence of redistribution among
the headquarters cities away from New York to mostly mid-size
metropolitan areas. In 1955, the first year the Fortune 500 list was
compiled, the New York metro area was home to 31 percent of all company
headquarters on the list, the vast majority of which were located right
in the city (28 percent of all Fortune 500 headquarters). While the
metro area share of national headquarters remained stable until the
early 1970s, the city began to lose headquarters to its surrounding
areas in the mid-1960s. For the last 30 years, the share of headquarters
domiciled in the New York metro area has been steadily declining. By
1999, it had fallen to 10 percent of Fortune 500 companies (see Q uante,
1976, and Horst and Koropeckyi, 2000).
Of course, the location of company headquarters has also been
affected by the varying fortunes of industries and lines of business
over time. As Holloway and Wheeler (1991) clearly establish, shifts in
headquarters dominance by city size are related less to relocations of
existing headquarters than to the growth of local companies that become
large enough to be included in the Fortune 500 list. This implies that
the indigenous growth of stellar companies and emerging industry
clusters are an important explanatory factor in the shifting of
headquarters concentration. (4) Of course, this effect is symmetric with
respect to industry decline. However, as an added wrinkle, a continued
concentration of corporate headquarters has been observed to lag behind
the decline of its overall industry in a region (Rees, 1978). For
example, corporate headquarters of large manufacturing companies tended
to remain in large Northeast and Midwest cities long after their
production capacity had migrated south and west. In sum, pr evious
studies have documented a strong central tendency for headquarters to
locate in large urban areas. However, the distribution of headquarters
among regions and along the size hierarchy of urban places has been less
stable, and the underlying reasons more elusive. Accordingly, the data
must tell their own story for the 1990s.
Data
In order to document recent location patterns of large company
headquarters, we analyze Compustat data on publicly traded companies for
the years 1990 and 2000. The data represent a panel of all public
companies whose shares are traded in the U.S., with the exception of
American Depository Receipts (ADRs), closed-end mutual fund and index
shares, and pre-Financial Accounting Standards Board (FASB) companies.
(5) Active companies are either publicly traded or are required to file
with the Securities and Exchange Commission. Similar to the previous
literature, this article focuses on the headquarters of large companies.
We define a company to be large if its total employment worldwide is at
least 2,500. (6)
The data do not identify information on employment located at the
headquarters site itself. However, data from the Census of Enterprise
Statistics (U.S. Department of Commerce, 1992) are somewhat helpful in
identifying employment at so-called auxiliaries, which are defined as
separate establishments of multi-establishment companies that perform
administration, management, research, and other supporting functions.
These data report the average employment at auxiliary establishments to
be 68, while companies with auxiliaries averaged 1,555 domestic
employees overall. Most, but not all, of these auxiliaries are
headquarters. Since the companies in our data set are only modestly
larger in total employment size, their average headquarters size is also
likely to be modestly larger. A recent survey by Aksoy and Marshall
(1992) of 20 major international firms domiciled in the United Kingdom,
employing as many as 150,000, reported only two head offices with more
than 300 employees. (Furthermore, headquarters employmen t for these
large U.K. companies declined appreciably during the 1980s and early
1990s.)
In this article we aggregate headquarter locations by metropolitan
areas. In particular, we use the most extensive definitions of
metropolitan areas available, the so-called consolidated metropolitan
statistical area (CMSA). (7) Thus, our results are not affected by
relocations of headquarters from a central city to a suburban location
within the same metropolitan area. We believe that these metropolitan
areas largely share common locational attributes that are considered in
the headquarters siting decision. Some of the important attributes
include hub airports, access to business service firms, and a common
skilled labor pool. Using our company-wide employment cutoff of 2,500
employees results in 1,397 metropolitan-area based records for 1990 and
1,805 records for 2000, about 22 percent of all records in the database.
(8) Hence, our sample is considerably larger than the Fortune 500, yet
it includes essentially all the 2000 Fortune 500 companies.
Geography of headquarters
The distribution of large company headquarters across U.S.
metropolitan areas is highly concentrated. In 1990, only 47 percent of
the 276 metropolitan areas were home to at least one large company
headquarters facility; in 2000, the figure was 52 percent. Even among
headquarters-occupied metropolitan areas, the distribution of
headquarters is highly skewed. However, the list of metro areas that are
home to most company headquarters hardly changed during the 1990s. Both
at the beginning and at the end of the last decade, the 50 most populous
metropolitan areas were home to 87 percent of all large company
headquarters (see table 1). (9) There was considerable variation in the
growth of headquarters during the decade among the largest metropolitan
areas. Ten of the largest 50 metropolitan areas showed no net gain of
headquarters. On the other hand, the ten fastest growing metropolitan
areas experienced a net increase in headquarters of at least 100 percent
(see table 2).
It turns out that among the 50 largest metropolitan areas, those
with population between 1 million and 2 million (ranked 23-50 in table
2) experienced the largest growth in both population and large company
headquarters during the last decade (see table 1). In contrast New York,
the largest metropolitan area, continued its long-term trend of slowly
losing dominance in terms of headquarters count. Despite this erosion,
even at the end of the 1990s New York was home to more than twice as
many headquarters of large companies than the runner-up metropolitan
area, Chicago.
Figure 1 shows the distribution of headquarters and population
among metropolitan areas by quartiles (defined by population) in the
year 2000. (10) Notice the remarkable concentration of headquarters--in
absolute terms as well as relative to the concentration of
population--in quartile 1, the 69 most populous metropolitan areas. The
top quartile (labeled quartile 4 in the figure) of metropolitan areas
contain 78.6 percent of population and 92.1 percent of the large
publicly traded company headquarters. This corroborates for the decade
of the 1990s the agglomerative pull of large metropolitan areas found in
previous studies.
An alternative, more comprehensive, way to characterize the
geographic distribution of headquarters location across metropolitan
areas is by means of a Lorenz curve. A Lorenz curve graphs cumulative
frequency distributions. It shows the degree to which a distribution is
concentrated by the distance between the actual distribution and the 45
degree line, which represents an egalitarian distribution. Figure 2
shows the concentration of headquarters among the 50 most populous metro
areas. It graphs the cumulative distribution of headquarters on one axis
versus the cumulative distribution of metropolitan areas on the other
axis. In that distribution, each metro area is treated as an equally
weighted entity. The shape of the plotted line reveals the degree of
concentration in the distribution of headquarters. For example, if each
of the largest 50 metropolitan areas contained the same number of
corporate headquarters, the graph line would be identical to the 45
degree line. In contrast, to the extent that some m etropolitan areas
host disproportionate numbers of headquarters, the graph curve will be
bowed out toward the "southeast," away from the 45 degree
line. Figure 2 shows these curves for both 1990 and 2000 to illustrate
changes in the concentration of headquarters within the largest 50
metropolitan areas. The various panels show curves for all headquarters
and headquarters classified by selected major industry group (we chose a
few prominent industries).
For the year 2000, we find that the degree of concentration of
headquarters among the largest metropolitan areas is quite similar
across the various sectoral breakdowns, with about 60 percent of
headquarters residing in the largest ten metro areas, as measured by the
number of headquarters. One notable exception to that general finding is
the high-tech manufacturing sector, which is significantly more
concentrated (about 80 percent of headquarters are found in the ten
largest, by headquarters, metropolitan areas). Over the past 25 years,
high-tech industries, such as computing and telecommunications equipment
and software, have grown rapidly and displayed an acute tendency to
concentrate heavily in a few metro areas, such as San Jose,
Raleigh--Durham, Austin, and Boston. Young industries characterized by a
high degree of innovation and competition appear to be loath to
spatially separate their headquarters activity from their R&D or
their production plants (Malecki, 1980).
A comparison of Lorenz curves for headquarters for 1990 and 2000
also illustrates that corporate headquarters have become more ubiquitous
across medium--sized metropolitan areas--spreading to less
headquarters-intensive areas. This trend is consistent across major
industry groups with two exceptions. High-tech manufacturing shifts
outward along part of its distribution--with the more
headquarters-intensive MSAs gaining share of high-tech activity from
1990 to 2000. The same can be said for the finance, insurance, and real
estate (FIRE) sector, only to a more pronounced degree. Upon further
investigation, the increase in concentration of headquarters in that
sector can be explained by an increase in the concentration of
headquarters in the banking sector. This presumably is a response to
regulatory changes--largely loosening--beginning in the early 1980s and
continuing through the 1990s. So called deregulation has encouraged
banks to grow in size which has, in turn, shifted the distribution at
the top of the industry even further toward larger banks. Regulatory
changes have allowed banks to enter new product lines, which has acted
to increase their size and, in some instances, to merge with other,
nonbanking, financial firms.
Presumably, the tendency of larger organizations to prefer
headquarters locations in larger metropolitan areas has thus brought
about the shift observed in figure 2, panel C. In addition, deregulation
has loosened restrictions that had been placed on banks to serve markets
across state lines, or within states, across county lines, and other
boundaries. This has facilitated geographic consolidation of markets in
the banking sector, often through a merger. (11) For example, the merger
between Banc One of Columbus and NBD-First Chicago in 1998 resulted in a
headquarters choice of Chicago. These industry-specific events produced
a headquarters location trend in the 1990s that was the opposite of that
of most industries in which midsized metropolitan areas were the
relative gainers.
Mid-sized metropolitan areas were the gainers not only because of
headquarters choices, but also because they grew faster in population
size. They emerged as sizable markets so that their companies and
headquarters grew along with them. Nonetheless, the growing prominence
of mid-sized metropolitan areas does not account for the entire shift of
headquarters toward these places. Figure 3 illustrates the distribution
for headquarters across all industries, as well as for population for
the largest 50 metro areas in 1990 and 2000. We can see that
headquarters are more concentrated among metro areas than population.
This is true for both 1990 and 2000. However, during the 1990s the
relative difference between the distribution of headquarters and
population narrowed. This is demonstrated in panel B of figure 3, which
plots the vertical distance between both distributions at both points in
time. While the contour of that distance has not changed much, it
narrowed across the entire range of the distribution during t he decade.
In addition, from panel A of figure 3 we can tell that that movement was
driven in large part by a redistribution of headquarters as opposed to a
redistribution of population.
Different growth and reorganizational experiences across industries
also become important in understanding the regional shifts in
headquarters that have taken place. In examining the shifts among the
four major regions as defined by the U.S. Bureau of the Census, (12) we
find that at the beginning of the decade, both the Northeast and the
Midwest regions were the most headquarters-intensive among the four.
That is not surprising as the industry structure of the Northeast and
Midwest reflects their rich manufacturing history. Even though
manufacturing plants spread beyond their regions' boundaries long
ago, many of the country's headquarters of industrial companies
continued to be located there in 1990 (see Rees, 1978). As these
industries' companies decline in size and importance or are
acquired by overseas companies, these headquarters are evaporating. So
too, with a lag, headquarters sometimes follow their operating
manufacturing plants to Sun Belt locales. (13) As a result, both the
Northeast and Midwest regions--but especially the Northeast--continued
to shed such headquarters during the 1990s. Figure 4 illustrates the
U.S. geography of all large company headquarter locations in the year
2000. (14)
Figure 5 clearly shows the 1990s to be the decade of the South.
While leading the country in population share at the beginning of the
decade, it represented just over 25 percent of all large company
headquarters. But during the 1990s the number of headquarters domiciled
in the South grew much faster than its population share. In fact, at the
end of the decade that region's share of headquarters had virtually
pulled even to its share of population. Apparently, in addition to the
beneficial effects of local market growth, several prominent urban areas
in the South have matured as commercial centers. In particular, Atlanta,
Houston, Nashville, and Southeast Florida laid claim to much of the
region's increase in corporate headquarters (see figure 6).
In contrast, the West continued to grow its population at a faster
rate than its headquarters. Hence, it remains the least
headquarters-intensive region on a per capita basis, despite the
tremendous growth in high-tech manufacturing in the 1990s (see figure
7). High-tech manufacturing--defined at the 3-digit SIC level as
pharmaceuticals, computers and office equipment, communication
equipment, electrical components, and aircraft and parts--behaved very
differently from the rest of manufacturing during the 1990s. (15) The
West experienced the strongest growth in high-tech manufacturing
headquarters, leaving it with the highest share at the end of the
decade, ahead of the Northeast. The Midwest, on the other hand,
experienced an almost commensurate drop in its share. Underlying that
phenomenon is the well-known growth of the high-tech sector during the
1990s, a large part of which occurred in and around Silicon Valley. The
"rest" of manufacturing experienced little change in its
regional distribution; the Midw est region's share remained
essentially unchanged, whereas the Northeast lost share and the South
gained share.
The role of regional industry specialization can be seen in
examining the individual components of growth and decline for a few
representative metropolitan areas. (see table 3). Table 3, panel A
starts in 2000 and looks at the history of large headquarters over the
previous ten years. We distinguish the following categories: 1) survivor
in same metropolitan area with same company name and as large company;
2) indigenous company that grew during decade above 2,500 employees; 3)
company is the result of merger involving companies listed separately in
1990--merged entity in MSA as listed; 4) company relocated; 5) company
newly established, and 6) other. Panel A shows interesting differences
and similarities across the three metropolitan areas. First, the
incidence of companies relocating across metropolitan areas, while big
news in the business press, does not affect the distribution of
headquarters in a noticeable way. For all three metropolitan areas,
between 7 percent and 10 percent of the headquarters activ e in 2000 had
moved since 1990. (16) On the other hand, we can see strong differences
in the degree of churn across these three metropolitan areas. San
Francisco, the center of the Internet and high-tech expansion of the
last decade, finds itself with 57 percent of its large headquarters in
2000 either having been started during the decade (26 percent) (17) or
growing above the large company threshold (31 percent).
Neither New York nor Chicago approaches these numbers. By the same
token, the latter two are characterized by larger survival rates of
large company headquarters.
Table 3, panel B traces the 1990 headquarters to the year 2000. The
table distinguishes the following categories: 1) survivor in same
metropolitan area with same company name and as large company; 2)
indigenous company whose employment fell below 2,500 over the decade; 3)
company is the result of merger involving companies listed separately in
1990--merged entity in MSA as listed; 4) company is result of merger
involving companies listed separately in 1990--merged entity in
different MSA; 5) company relocated to different MSA; 6) company went
out of business; and 7) other. Again, similarities dominate. About half
of the 1990 headquarters survived in the same metro area. With the
exception of New York, we find relocation of companies to be a rather
rare occurrence, involving between 5 percent and 8 percent of the
companies.
Model
To more rigorously test the relationship between the factors
discussed above and the change of headquarters at the MSA level, we use
multiple regression analysis. Below, we briefly explain the variables
and present the results. The dependent variable in our model is the
percentage change in the number of headquarters in a metropolitan area.
In order to minimize the effect of a small base at the start of the
decade, we use only the 50 most populous metropolitan areas (see table
2). (18)
The descriptive data presented earlier suggest a number of
influences on the change in the concentration of headquarters during the
last decade. The high degree of concentration of headquarters among a
relatively small number of metro areas suggests the existence of a scale
effect in hosting headquarter operations. That effect is measured in our
model by the level of population. While the coefficient for this
variable should reflect the scale effect, we estimate the model only for
the largest metro areas, so it should also pick up the redistribution
from the largest to the medium-sized metro areas. Hence, the expected
sign is ambiguous.
We also include a variable measuring the percent change in
population during the decade. This variable should capture the shifting
of markets away from the traditional centers of commerce and population
and show a positive sign. We might also see such a response to growing
population because the universe of large companies is increasingly
composed of service rather than manufacturing companies. (19) In
addition, service companies tend to be more regional than national or
international in market scope. However, various past studies argue that
headquarters need not follow markets. That is because enhanced
communication technology may allow control and oversight functions to be
conducted from afar.
Two variables control for the sectoral composition of the
metropolitan areas. First, we measure the share of manufacturing
earnings in all nonfarm earnings (1989 data) in each metropolitan area.
We expect a negative sign insofar as the Northeast and Midwest have been
losing their dominance in manufacturing production to other regions.
However, as documented by Rees (1978) and others, headquarters tend to
remain behind, or follow regional demand shifts only with long lags.
Second, we compute a comparable share for employment in the FIRE sector
to proxy for the degree to which a metro area specializes in the
provision of business services. We expect a positive sign for two
reasons. First, much of the activity in FIRE industries is of the type
purchased and outsourced by headquarters. Purportedly owing to the
forces of globalization, headquarters are increasingly seeking to locate
where such services are accessible. Second, headquarters of FIRE
industries, especially banking, have been rapidly consolidating, fo
rming companies of large size, and perhaps doing so in metropolitan
areas that already specialize in such activities. We also control for
the regional composition of headquarters growth by a binary variable
that measures if the MSA is located in the South, as defined by the
census region.
The regression results point to the effect of the change in
population as well as the provision of business services in influencing
headquarters growth at the metro area level (see table 4). Consistently,
these two variables are statistically significant in the three model
variations we estimated. We find that headquarters growth is elastic
with respect to growth in population: An increase in the growth of
population by 1 percent is associated with a 2 percent increase in the
growth of headquarters. A 1 percent increase in the earnings share in
the FIRE sector corresponds to a 9.5 percentage point increase in the
growth rate of headquarters. Finally, if a metro area is located in the
South, we observe headquarters growth that is about 0.6 percent higher
than in metro areas located in the rest of the country.
Conclusion
Headquarters of large companies continue to be desired and actively
pursued by states and regions. Our findings for the 1990s provide
further evidence to support the historical trend that the largest urban
areas are highly preferred as headquarters locations. The momentum of
this locational preference apparently continued throughout the decade.
However, the evidence does point to some changes in the distribution of
large headquarters among sizable metropolitan areas. First, the very
largest metropolitan areas witnessed a drain of headquarters to the
middle tier of cities during the 1990s. New York City had been
experiencing an erosion for several decades, but the trend is more
pervasive than that. Apparently, second-tier cities have improving
chances of success in the competition for large company headquarters.
This tendency for gains among the second tier may surprise some analysts
of globalization, who have predicted that the larger and more complex
companies that result from globalization would flock to t he very
largest metropolitan areas in search of the most extensive
communications, talent, ideas, and transportation. Further investigation
is needed to understand the nature of the shifting distribution of
headquarters by size of metropolitan area.
Significant shifts are also taking place among regions and among
metropolitan areas. Among large multi-state regions, the South was a big
gainer in the 1990s. To some extent, this reflects the shifting of
markets and population growth to the South. Yet, the West also gained
population but did not experience headquarters gains to the same extent.
Apparently, in addition to market growth, the maturing of key urban
areas in the South is contributing to the region's attractiveness.
Among both metropolitan areas and regions, the performance of indigenous
industries and individual companies is also key. Our research clearly
shows that company headquarters do not migrate so much as they grow and
decline.
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TABLE 1
Population and headquarters across metro areas
Percent of population
1990 2000
Top 5 metro areas 28 27
Top 5 excl. New York 18 18
Rank 6 to 22 28 29
Rank 23 to 50 15 16
Top 50 71 72
Remainder 28 28
All 100 100
Percent of headquarters
1990 2000
Top 5 metro areas 36 33
Top 5 excl. New York 20 19
Rank 6 to 22 36 38
Rank 23 to 50 15 16
Top 50 87 87
Remainder 14 13
All 100 100
% Change, 1990-2000
Population Headquarters
Top 5 metro areas 11 19
Top 5 excl. New York 12 29
Rank 6 to 22 16 35
Rank 23 to 50 18 45
Top 50 14 30
Remainder 13 23
All 14 29
Sources: Compustat, Census Bureau, and authors' calculations.
TABLE 2
Top 50 metro areas, by 2000 population
Net Net
Population change change
Rank Metro area (000s) HQs HQ number HQ %
1 New York-Northern
New Jersey-Long Island,
NY-NJ-CT-PA CMSA 21,200 239 16 7.2
2 Los Angeles-Riverside-
Orange County, CA CMSA 16,374 85 4 4.9
3 Chicago-Gary-Kenosha,
IL-IN-WI CMSA 9,158 109 13 13.5
4 Washington-Baltimore,
DC-MD-VA-WV CMSA 7,608 66 22 50.0
5 San Francisco-Oakland-
San Jose, CA CMSA 7,039 91 39 75.0
6 Philadelphia-Wilmington-
Atlantic City,
PA-NJ-DE-MD CMSA 6,188 70 15 27.3
7 Boston-Worcester-Lawrence,
MA-NH-ME-CT CMSA 5,819 66 11 20.0
8 Detroit-Ann Arbor-Flint,
MI CMSA 5,456 34 1 3.0
9 Dallas-Fort Worth,
TX CMSA 5,222 76 18 31.0
10 Houston-Galveston-
Brazoria, TX CMSA 4,670 70 29 70.7
11 Atlanta, GA MSA 4,112 53 25 89.3
12 Miami-Fort Lauderdale,
FL CMSA 3,876 31 16 106.7
13 Seattle-Tacoma-Bremerton,
WA CMSA 3,555 19 -1 -5.0
14 Phoenix-Mesa, AZ MSA 3,252 23 12 109.1
15 Minneapolis-St. Paul,
MN-WI MSA 2,969 50 12 31.6
16 Cleveland-Akron, OH CMSA 2,946 35 -4 -10.3
17 San Diego, CA MSA 2,814 18 8 80.0
18 St. Louis, MO-IL MSA 2,604 39 12 44.4
19 Denver-Boulder-Greeley,
CO CMSA 2,582 27 12 80.0
20 Tampa-St. Petersburg-
Clearwater, FL MSA 2,396 20 9 81.8
21 Pittsburgh, PA MSA 2,359 21 0 0.0
22 Portland-Salem,
OR-WA CMSA 2,265 13 -1 -7.1
23 Cincinnati-Hamilton,
OH-KY-IN CMSA 1,979 23 5 27.8
24 Sacramento-Yolo, CA CMSA 1,797 2 1 100.0
25 Kansas City, MO-KS MSA 1,776 19 1 5.6
26 Milwaukee-Racine, WI CMSA 1,690 26 5 23.8
27 Orlando, FL MSA 1,645 9 7 350.0
28 Indianapolis, IN MSA 1,607 11 -1 -8.3
29 San Antonio, TX MSA 1,592 9 4 80.0
30 Norfolk-Virginia Beach-
Newport News, VA-NC MSA 1,570 6 2 50.0
31 Las Vegas, NV-AZ MSA 1,563 13 5 62.5
32 Columbus, OH MSA 1,540 21 7 50.0
33 Charlotte-Gastonia-Rock
Hill, NC-SC MSA 1,499 14 3 27.3
34 New Orleans, LA MSA 1,338 7 -1 -12.5
35 Salt Lake City-Ogden,
UT MSA 1,334 5 -2 -28.6
36 Greensboro-Winston-Salem-
High Point, NC MSA 1,252 16 9 128.6
37 Austin-San Marcos, TX MSA 1,250 2 1 100.0
38 Nashville, TN MSA 1,231 25 16 177.8
39 Providence-Fall River-
Warwick, RI-MA MSA 1,189 6 2 50.0
40 Raleigh-Durham-Chapel
Hill, NC MSA 1,188 4 2 100.0
41 Hartford, CT MSA 1,183 12 -2 -14.3
42 Buffalo-Niagara Falls,
NY MSA 1,170 6 0 0.0
43 Memphis, TN-AR-MS MSA 1,136 10 2 25.0
44 West Palm Beach-Boca
Raton, FL MSA 1,131 13 11 550.0
45 Jacksonville, FL MSA 1,100 7 2 40.0
46 Rochester, NY MSA 1,098 6 0 0.0
47 Grand Rapids-Muskegon-
Holland, MI MSA 1,089 9 5 125.0
48 Oklahoma City, OK MSA 1,083 6 2 50.0
49 Louisville, KY-IN MSA 1,026 10 4 66.7
50 Richmond-Petersburg,
VA MSA 997 21 6 40.0
Note: HQ indicates headquarters.
Sources: See table 1.
TABLE 3
Churn rate of headquarters
Categories Chicago New York San Francisco
(percent)
A. Looking back from 2000
Survivor 49 41 30
Growth 12 10 31
Merged or acquired 12 18 5
Moved in 6 10 5
New 17 20 26
Other 4 2 2
B. Looking forward from 1990
Survivor 55 44 52
No longer large 3 6 2
Merged/acquired stayed 8 20 4
Merged/acquired left 18 7 27
Moved out 5 14 8
Out of business 8 8 4
Other 1 2 4
Note: Total may not add to 100 due to rounding
Source: Compustat.
TABLE 4
Regression results
Variables Model 1 Model 2
Intercept -0.08 -0.72
(0.62) (0.65)
Level of population (millions) -0.061 -0.038
-0.04 -0.04
Change in population 2.14 2.09
(0.96) (0.92)
Manufacturing share -0.69 0.83
(1.79) (1.83)
FIRE share 8.95 9.45
(5.05) (4.82)
South -- 0.63
(0.27)
R-squared 0.21 0.30
Adjusted R-squared 0.14 0.22
Notes: Standard errors are in parentheses. Numbers in bold are
statistically significant. FIRE is finance, insurance, and real estate.
NOTES
(1.) Of 91 headquarters in the San Francisco Bay area at the end of
2000, 28 represent public companies that grew during the decade and 20
represent companies that went public during the decade.
(2.) See Sassen, 2001a, p. 109.
(3.) See, for example, Scott, 2001, p. 82.
(4.) Microsoft may be one prominent example where a dominant
company chose a non-standard indigenous location. In contrast, Gateway
Computer's move from North Sioux City, SD, to San Diego, CA, in
1999 attests to the countervailing pull that urban economies can exert
on large companies.
(5.) Compustat created "pre-FASB" company records upon
introduction of FASB rule 94 regarding the accounting of financial
service subsidiaries to show consistency between current and historical
data.
(6.) Our results are robust to lowering the cutoff for large
companies to 2,000 employees.
(7.) For example, the Chicago CMSA encompasses the primary
metropolitan statistical areas of Chicago, IL, Gary, IN, Kankakee, IL,
and Kenosha, WI.
(8.) In 1990, there are 61 (4.2 percent of all large company
records) large company headquarters located outside metropolitan areas;
in 2000 there are 66 (3.5 percent).
(9.) Horst and Koropeckyi (2000) note that a metro area must have
an employment base of at least 750,000 to be considered large enough to
develop a strong agglomeration of support services (p. 26).
(10.) It is essentially unchanged from 1990.
(11.) Federal Reserve Bank of Chicago (2000) and DeYoung et al.
(2002).
(12.) The four census regions are defined as follows: West: Alaska,
Arizona, California, Colorado, Hawaii, Idaho, Montana, Nevada, New
Mexico, Oregon, Utah, Washington, and Wyoming; Midwest: Illinois,
Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North
Dakota, Ohio, South Dakota, and Wisconsin; Northeast: Connecticut,
Massachusetts, Maine, New Hampshire, New Jersey, New York, Pennsylvania,
Rhode Island, and Vermont; and South: Delaware, District of Columbia,
Maryland, Virginia, West Virginia, North Carolina, South Carolina,
Georgia, Florida, Alabama, Mississippi, Arkansas, Tennessee, Kentucky,
Louisiana, Texas, and Oklahoma; also see figure 4.
(13.) This continues a trend that has been documented for the 1960s
and 1970s; see Rees, 1978.
(14.) The figure shows a dot for each headquarters location in the
database, regardless of location in metro area. This map represents
1,871 headquarters.
(15.) We use the Organization for Economic Cooperation and
Development definition of high-tech industries, which is based on
R&D intensity (see National Science Board, 2000).
(16.) Hoolloway and Wheeler (1991) identified the dynamics for all
the records in their data set. Their finding on the importance of moves
very closely matches ours: 10 percent of all additions of headquarters
in the top 55 metropolitan areas were due to relocation.
(17.) That term is somewhat misleading as start-up is measured
relative to the universe of the database; in other words, a private
company that was taken public would be classified as a start-up. In
fact, 20 of 24 "new" companies in the San Francisco metro area
were initial public offerings.
(18.) Holloway and Wheeler (1991) estimate a model for 55 metro
areas. In order to be included in that set, a metro area had to be host
to at least one Fortune 500 headquarters both in 1980 and 1987. Their
dependent variable is a measure of the change in corporate dominance,
which is measured by the change in the proportion of total Fortune 500
assets held within a metro area.
(19.) From 1990 to 2000, the share of service sector companies in
our database increased from 9.6 percent to 17.2 percent, while
manufacturing companies fell from 43.1 percent to 37.2 percent.
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Thomas Klier is a senior economist and William Testa is a vice
president and senior economist at the Federal Reserve Bank of Chicago.
The authors would like to thank Dan McMillen for helpful comments and
Woong Lim and Jeff Rasmussen for research assistance.