Industrial and Corporate Change, Volume 15, Number 4, pp. 595–623
doi:10.1093/icc/dtl013
Advance Access published August 1, 2006
Global integration ≠ global concentration
Pankaj Ghemawat and Fariborz Ghadar
There is a widespread belief that increases in the cross-border integration of markets
are associated with increases in global concentration along various dimensions.
This article reviews the available evidence and presents new data, indicating that
increasing global integration has not been accompanied by general increases in
four types of global concentration measures: industry seller concentration, crossindustry superconcentration, national/regional hegemony, and geographic concentration. The article also uses the automobile industry to illustrate a bias toward
believing concentration is increasing even when it is not and to discuss possible
reasons.
1. Introduction
The cross-border integration of markets has increased significantly in the decades
since World War II (see Ghemawat, 2003). Many people conclude that this kind of
increased global integration—imprecisely captured in the notion of globalization—
goes hand in hand with increased global concentration.
Stated more precisely, the increasing cross-border integration of markets is generally believed to be accompanied by increases in the concentration of economic activity
along one or more dimensions: a few companies accounting for larger shares of individual industries (or even the global economy), a few countries dominating the world
in several possible ways, the concentration of production in the few places where it
can be done most cheaply, and so on. This is a strong belief in the sense that it is one
of the few shared by supporters and opponents of globalization. Based on perceptions
of increasing seller concentration, for example, energetic capitalists deduce that to
thrive or even survive, a company must be one of the few in the “global core” of its
industry. The antiglobalization brigade, meanwhile, deplores globalization for this
very reason (among others).
This general agreement is made all the more remarkable by the general absence of
empirical support for it. As our title puts it, global integration does not equal global concentration. Part of the evidence for our assertion comes from a wide array of published
studies of concentration dynamics that we focus on assembling in one place and, in
some cases, updating. Additionally, we present some novel evidence, particularly in
regard to global seller concentration at the industry level, which is discussed especially
extensively because of the paucity of prior evidence. This article begins with and is
© The Author 2006. Published by Oxford University Press on behalf of Associazione ICC. All rights reserved.
596
P. Ghemawat and F. Ghadar
mostly devoted to this descriptive task. Its last two sections, however, focus on the
prescriptive implications of the patterns observed.
More specifically, the first four sections that follow sketch out some of the relevant
theory, review some of the received evidence, and present some new analyses of four
types of global concentration measures:
(i)
(ii)
(iii)
(iv)
industry seller concentration;
cross-industry superconcentration;
national/regional hegemony; and
industry geographic concentration.
Note that the first two types of measures focus on global concentration at the company level and the second two on global concentration at the country/geographic level.
The discussion of these measures in the next four sections offers a rough summary of
what we think we know, identifies gaps in our knowledge, and suggests potential avenues for additional analysis. The industry-level data that are presented generally span
at least several distinct industries, and thereby offer some scope for inter-industry variation. Systematic measures are supplemented with case analyses of companies in a
range of industries, with a particular focus on automobiles.
The presentation and discussion of evidence on the four kinds of concentration
measures are followed by two wrap-up sections. The first section uses the global automobile industry as its principal example to illustrate biased beliefs about increasing
global concentration as well as to discuss the possible reasons for them. The second
discusses the broadened possibilities afforded by not having to see international strategy as necessarily about getting big fast.
2. Global integration ¹ global seller concentration
This section uses data on a sample of industries commonly considered global or globalizing to show that there is scant evidence of a general trend toward the concentration of production in industries at the hands of a global core of competitors. In fact,
postwar increases in cross-border integration have been accompanied by general
declines in seller concentration. Before turning to what the evidence actually indicates,
let us first review some of the background to the belief in increasing global seller concentration and its possible economic logic.
2.1 Background
More than 100 years ago, Karl Marx wrote that “one capitalist always kills many . . .
[leading to] a constantly diminishing number of the magnates of capital, who usurp and
monopolize all advantages” (Marx and Engels, 1967). In the 1970s, Bruce Henderson,
the founder of the Boston Consulting Group, promoted his Rule of Three: “A stable
competitive market never has more than three significant competitors” (Henderson,
Global integration ≠ global concentration
597
1979). In the early 1980s, Jack Welch began insisting that General Electric be either
number one or number two in its various businesses—which would seem to suggest
that the magic number is at most two rather than three. Finally, in the late 1990s, New
York-based Mercer Management Consulting went to the winner-take-all extreme by
popularizing the “plight of the silver medallist”: if you are not number one, you are
nowhere (Wysocki, 1999).
Such beliefs in increasing seller concentration seem to be held more broadly as
well, by managers and managers-to-be. Consider the results of asking several groups
of executives and one of MBA students: If globalization/cross-border integration were
increasing rapidly in a particular industry, would you expect global industry concentration—the share of the largest five competitors—to be (pick one):
(i)
(ii)
(iii)
(iv)
decreasing;
steady;
increasing; or
increasing rapidly?1
Across seven groups of respondents, with an average of more than 80 respondents
per group, 77%–88% responded with “increasing” or “increasing rapidly,” whereas
7%–16% responded with “decreasing.”2 Faculty in the management department at a
well-known business school also tilted the same way, but by a less lopsided margin.
2.2 Economic logic
The previous section suggested a widespread belief that increased global integration
leads to increased concentration of industries in the hands of a global core of competitors. Is there any economic logic behind such a belief?
The consequences of increased cross-border integration of markets for market
structure are clarified by models in international and industrial economics. Let us
begin with the standard workhorse of international economics, the theory of comparative advantage, as laid out by English economist David Ricardo at the beginning of
the nineteenth century. Ricardo offered a famous example with two countries (England and Portugal), two tradable products [cloth and port (wine)], and one factor of
production (labor) that was redeployable across the two products (Ricardo, 1817).
Ricardo showed that as long as Portugal was the comparatively better location, in
terms of relative labor productivity, for making port and England for cloth, both
countries could do better by specializing their production along these lines and trading with each other. Furthermore, these gains from trade did not hinge on Portugal’s
having an absolute labor productivity advantage in port or England in cloth. In fact,
1
In early surveys, respondents were also allowed the choice of “decreasing rapidly,” which none elected; in later surveys, this was dropped from the set of possible responses.
2
We thank the anonymous referee for inspiring us to collect these data.
598
P. Ghemawat and F. Ghadar
even if one country were more competitive (i.e., had higher absolute labor productivity) across the board, trade would still make sense for both countries.
The theory of comparative advantage obviously implies some tendency toward the
geographic concentration of production. But it has no definite implications for concentration at the firm level because the basic mechanism of comparative advantage
does not depend on the economies of scale. Revisit Ricardo’s example: even though
port production is concentrated in Portugal, the heavily export-oriented Portuguese
port industry remains fragmented, with 30,000 small firms and about 70 shippers.
Based on such examples, it has even been argued that countries serving as home bases
for global competitors—in particular industries—will tend to exhibit relatively fragmented structures, rather than concentrated industry organization (Porter, 1990).
What happens when we superimpose firm-level economies of scale on countrylevel considerations of comparative advantage? The line of research that is best
developed in this regard focuses on what happens when each firm in an industry produces one product variety. The production of each variety involves a fixed cost as well
as marginal costs—this is where the economies of scale show up—and under the
assumption of “monopolistic competition,” individual firms ignore the effects of their
pricing decisions on their rivals’. While this last assumption is stringent, the models of
this sort have attracted considerable attention, partly because they help explain
two-way intra-industry trade flows between pairs of rich countries that greatly exceed
the levels one might expect to result from comparative advantage (see Davis and
Weinstein, 2001).
What is of particular interest to us is the general prediction from the models of
monopolistic competition that when previously separate countries integrate economically, the effective increase in market size implies an increase in the number of distinct
varieties/firms available in each country market. A numerical example from Krugman
and Obstfeld’s textbook (1997) on international economics illustrates the flavor of such
results. Before integration, country A supports six symmetric producers and country B,
which is 78% larger, supports eight symmetric producers. After integration, there are 10
symmetric producers that serve both countries, expanding the number of product varieties available to the citizens of each. Although four producers have exited as a result of
integration, each market is less concentrated after integration than before.
Even stronger scale economies can overturn such results by disconnecting
the number of viable firms from the size of the market. In particular, consider John
Sutton’s (1998) work on what happens when the fixed costs that constitute the “table
stakes” for market participation are determined by competitors’ strategies rather than
set exogenously—that is, when fixed outlays by firms to build up their capabilities
lead to an upward shift over time in the capability threshold required to be viable.
Thus, the opportunities to improve color film as it started to replace black-and-white
film in the 1960s triggered an R&D race, with industry leader Kodak setting the pace,
and turned the industry into one in which Kodak and Fuji competed at the technical
edge, with only a few other survivors limping along.
Global integration ≠ global concentration
599
But again, high R&D-to-sales ratios simply indicate that an escalation dynamic
with concentrating effects may be at work in a given industry; they do not clinch the
point of globalization equaling concentration. Thus, Sutton notes that the flowmeter
industry, for example, remains quite fragmented despite very high R&D-to-sales
ratios. The reasons grow out of the diverse types of flowmeters, each associated with a
different form of technology (electromagnetic, ultrasonic, etc.) as well as differences
in user groups’ valuations of these types, depending on the application (oil pipelines,
general chemical plant, etc.). The evolution of this kind of industry is characterized by
a proliferation of new product types as new technological trajectories are explored.
The result is that the global market can support a large number of players, and relatively small firms can achieve viability by specializing in a single product type.
Sutton also points out that globalization—in the sense of reduced barriers to crossborder competition—can induce concentration through two basic mechanisms: (i) an
intensification of price competition, which squeezes price–cost margins for all firms,
and (ii) a consequent narrowing of the capability window in which firms operate, as
the minimum ratio of benefits delivered to costs incurred that is required to be viable
rises. Leading firms are likely to respond by increasing the resources devoted to
upgrading capabilities, leading to a further upward shift in the window, while laggards
may elect to drop out. But whether the race is run broadly or narrowly—whether
there is consolidation or not—depends on linkages between the technological trajectories, both on the demand size (product substitutability in the eyes of buyers) and on
the supply side (the presence of scope economies in capability building, which allow
advances in capability along one trajectory to efficiently enhance capability along
another).
To summarize: the theories of comparative advantage and of monopolistically
competitive internationalization do not, by themselves, suggest that increased crossborder integration of markets should be accompanied by increases in global seller
concentration at the firm level. On the other hand, very strong economies of scale, as
exemplified by the escalation game in color film, can support such a prediction. But
the broader importance of this possibility can only be assessed empirically, by looking
at a broader set of industries.
2.3 Empirical evidence
Systematic cross-industry data on changes in global seller concentration are not available. We have attempted to overcome that deficit by splicing together data from different sources on different industries. Exhibit 1 summarizes data from a variety of sources
on the share of total global production—typically in volume terms rather than value
terms—accounted for by the top five producers in a variety of industries/sectors.3 The
3
Generally, similar results were obtained by looking, where possible, at CN levels, with N varying
between 1 and 10 as opposed to being set at 5.
600
P. Ghemawat and F. Ghadar
C5
Year
Beginning Ending Beginning Ending
Computer software*
87
59
1988
1998
Computer hardware*
74
59
1988
1998
Long-distance telephony*
64
44
1988
1998
Entertainment*
71
1988
1998
63
Copper
59
54
1980
1995
Iron Ore
Light bulbs*
Carbonated Soft Drinks
Aerospace/defense*
57
55
54
52
52
68
70
55
1985
1985
1985
1988
1996
1996
1995
1998
Automobiles
51
53
1985
2000
Aluminum Smelting
32
34
1990
1999
Passenger Airlines
38
37
1985
1997
Cargo Airlines
40
34
1985
1997
Semiconductors*
40
40
1987
1997
Oil Production
24
31
1989
1998
Steel
Cement
12
10
17
19
1990
1988
2002
1999
Paper and Board
10
12
1985
*Concentration calculated on revenues instead of volumes
1997
Source
Economist/Compustat
Economist/Compustat
Economist/Compustat
Economist/Compustat
Center for Global Business
Studies
Center for Global Business
Studies
Osram Sylvania
Pepsico
Economist/Compustat
Center for Global Business
Studies
Center for Global Business
Studies
Center for Global Business
Studies
Center for Global Business
Studies
Center for Global Business
Studies
Center for Global Business
Studies
International Iron and Steel
Institute
Cemex
Center for Global Business
Studies
Exhibit 1 Ten-year changes in global industry seller concentration
data span periods of a decade or longer, up to the recent period, and account for all
mergers and acquisitions consummated by the end of the reporting period. In most
cases, they have also been adjusted for significant stakes held by the top five producers
in other large producers.
What do we see? The data do not show much of a tendency at all toward
increasing top five concentration (C5); the median and (unweighted) mean stay
steady over the periods covered—actually, they can be said to register slight
declines. There is also some evidence of regression toward the mean: in particular,
the three industries with the highest beginning C5s ended up experiencing the biggest absolute declines. Of the three that experienced the biggest absolute increases,
two are expected: carbonated soft drinks (because of the potential for escalating
advertising outlays) and light bulbs (because of relatively high advertising and
R&D intensities). But the increase in global seller concentration in cement, a
highly capital-intensive commodity for which markets are usually considered to be
Global integration ≠ global concentration
601
local, is surprising.4 Averaging across beginning and ending C5s, industries with
higher potential for product differentiation do seem to exhibit greater global seller
concentration than commodity industries, which cluster toward the bottom of the list
on this measure (with the exception of copper and iron ore, where the concentration
of natural resources may take a hand).
The bulk of the data in Exhibit 1 is drawn from author Ghadar’s project at the
Center for Global Business Studies at Penn State. The industries/sectors in that effort
were selected to mesh with those whose concentration was examined earlier by the
Harvard Multinational Enterprise Project under the direction of Raymond Vernon.5
Splicing the newer and the older time series involves restating the measure of supplier
concentration to the Herfindahl index (HHI), in terms of which Vernon (1977) summarized his results. Briefly stated, the HHI is the sum of squares of the market shares
of the companies in the industry, with a high HHI indicating dominance by a few and
a low HHI indicating a market that is spread across many. If N companies split 100%
of a market evenly, then the HHI equals 1/N.6
When seller concentration is recast in Herfindahl terms, the data in Exhibit 2a–d
suggest that in many of the industries that Vernon originally looked at, global concentration (i.e., the HHI calculated with global market shares) recorded postwar highs in
the 1950s but then declined rapidly. Thus, in automobiles, there was a steady decline
in concentration after 1955 as the US share of total demand fell and because the
declines in General Motors’ (GM) global share were spread across an increasing
number of competitors, particularly from Japan. This growth in the number of players and the increase of the total market size has resulted in the deconcentration of the
automobile industry. While recent mergers such as the DaimlerChrysler deal have
4
For an exploration of the apparently anomalous increase in global seller concentration in cement,
see Ghemawat and Thomas (2005).
5
Vernon’s data excluded production in communist countries and other countries with state monopolies.
6
The calculations here, some of which were reported on in more detail in Ghemawat and Ghadar
(2000), used a modified HHI calculated from the market shares of the top 10 firms in each industry
(although the market shares themselves are based on the combined size of all firms rather than just
the top 10 firms). This is because (i) market-share data from all firms (especially smaller firms) in an
industry are not always available and (ii) after the top 10 players are taken into consideration, the remaining players (number 11, number 12, and so on) typically have such small market shares that
their effect on the overall HHI is minimal. HHIs for the period of 1950–1975 were taken directly
from the Harvard Multinational Enterprise Project. Indices after 1975 were calculated at the Center
for Global Business Studies at Penn State University. Subject to the availability of data, the calculations were performed at five-year intervals; although for recent years marked by substantial mergers
and acquisition activity, we did attempt to obtain more frequent data points. Our calculations employed sales volume rather than revenue data to the extent possible. Thus for petroleum, we used barrels per day, for minerals metric tons of production, for automobiles number of cars sold, and so on.
This is particularly important in controlling for large shifts in exchange rates over the period studied.
For joint ventures, we allocated the output to each partner according to its ownership percentage.
P. Ghemawat and F. Ghadar
602
AUTOMOBILE INDUSTRY
PAPER & BOARD
0.25
0.2
Herfindahl Index
Herfindahl Index
0.25
0.15
0.1
0.05
0
1950
0.20
0.15
0.10
0.05
-
1960
1970
1980
1990
2000
1950
1960
Year
1980
1990
2000
1990
2000
Year
ALUMINUM
OIL REFINING
0.1200
0.20
HERFINDAHL INDEX
Herfindahl Index
1970
0.1000
0.0800
0.0600
0.0400
0.0200
0.0000
1950 1960 1970
0.15
0.10
0.05
-
1980 1990 2000
1950
1960
Year
1970
1980
Year
Exhibit 2 Long-term changes in global industry seller concentration
increased the concentration slightly, the increase has been modest compared with the
changes since 1950. [In fact, global seller concentration peaked in the mid-1920s
when, at one point, Ford’s Model T alone accounted for one-half of the world’s entire
automobile fleet (Scheele N., COO Ford Motor Company, private communication,
May 15, 2003).]
In the case of the oil production industry, the global HHI declined steeply between
1950 and 1980, with an uptick in the late 1980s and has remained level since then. The
megamergers announced and consummated in recent years (Exxon-Mobil, BPAmoco-Arco, Total-Fina-Elf, and Chevron-Texaco) have not had a significant impact
on global market concentration in the oil production industry, at least in relation to
the magnitude of the drop-off since 1950. And in many other industries as well—of
which aluminum and paper and board are just two more examples—seller concentration levels are far lower today than they were fifty years ago.
This is true despite the fact that our calculation of HHIs at the global level throughout imparts an upward bias to our computed changes in concentration in the case of
industries that have been globalizing over the period of measurement (instead of
being global from the outset). This is most clearly illustrated by the numerical
example of monopolistically competitive, intra-industry trade cited in the previous
section. If we were to calculate the HHIs at the global level, the data would suggest an
Global integration ≠ global concentration
603
increase rather than a decrease in concentration as a result of globalization, from
0.073 to 0.10. Yet, at the country level, the preintegration HHIs equaled 0.167 (1/6) in
country A and 0.125 (1/8) in country B—and declined to a common level of 0.10 (1/10)
after integration.
But such false positives for increases in effective concentration—which we do not
attempt to correct for—only add more punch to our principal finding: our sample of
global/globalizing industries has mostly been marked by cumulatively large decreases in
global seller concentration in the postwar period, although recent years have seen some
relatively modest increases. The hypothesis of galloping global seller concentration is
certainly not supported.
3. Global integration ¹ global superconcentration
“Superconcentration”, as we use the term, means company concentration at a higher
(cross-industry) level of aggregation: in other words, the share of all economic activity
accounted for the largest N companies. Superconcentration raises concerns about the
economic, political, and social power that might be wielded by huge companies.
Such concerns have a long pedigree. In the United States, for example, they can
be traced back to the populist movement of the nineteenth century—and perhaps
even to Jeffersonian conceptions of the public interest. They can exert great force:
concerns about superconcentration during the Progressive Era led to the passage of
antitrust laws and the breakup of the US trusts, dramatically affecting industry
evolution.
Today, foes of globalization assert that it has led to dangerous levels of superconcentration. A favorite rhetorical device involves contrasting companies-by-sales with
countries-by-GNPs/GDPs and using the resulting high ranks of the largest companies
to argue, in effect, that large companies have a lot of bargaining power vis-à-vis most
countries.7 (An alternative is to announce that of the world’s 100 largest economies,
more than half are not countries, but companies.) And finally, it is often asserted that
the largest companies’ share of global economic activity is increasing rapidly.
To explore this question, it would be extremely useful to have data on value-added.
Unfortunately, these are often available only for the manufacturing sector—even for an
economy as large and advanced as the United States (White, 2002). Cross-country data are
even harder to come by. So, with a caveat that the issue of value-added will be revisited, the
discussion here focuses on the authoritative list, issued by the UN Center on Transnational
Corporations, of the largest 100 transnational corporations by sales (and the largest 200 in
some years). The UNCTAD series, spanning nearly thirty years, is summarized in Exhibit 3.
7
It is worth noting that there has been rank inflation over time as the number of countries in the
world has reached a postimperial high; this would tend to pull countries down in the rankings even if
nothing else changed.
604
P. Ghemawat and F. Ghadar
Top 100 Companies,
Total Sales (US$ BN)
% of World GNP
Top 200 Companies,
Total Sales (US$ BN)
% of World GNP
Source: UNCTAD
1971
1976
1980
1985
1990
1995
1999
387
12.2
813
13.1
1693
14.9
1714
15.4
3115
14.0
4178
14.6
4295
14.3
524
16.6
1087
17.6
2199
19.4
2220
19.9
NA
NA
NA
NA
NA
NA
Exhibit 3 Superconcentration: the top 100 (and 200) transnationals by sales
Based on the exhibit, superconcentration—top company sales divided by world
GNP—rose steadily through the mid-1980s and then declined some of the way back.
This is not the most alarming picture imaginable. Remember, too, that we are working here with sales rather than with value-added. If one believes that value chains are
being sliced up and that outsourcing is becoming more prevalent—in other words,
that the value-added-to-sales ratio is declining for the largest companies—a measure
of superconcentration based on sales will overstate increases or understate decreases
relative to a value-added measure.
4. Global integration ¹ country hegemony
Our discussion thus far has focused on company-level measures of concentration. Let
us now take a different perspective: the country/locational one.
Two very different assertions about country/locational concentration in the context of globalization have attracted attention: (i) the assertion that the increased crossborder integration of markets will lead to hegemony by a country (or a small core of
countries) and the marginalization of all the rest (the periphery) and (ii) the assertion
that globalization has been accompanied by increases in geographic concentration.
These are dealt with, respectively, in this section and in the next.
Belief in country hegemony through globalization is most often framed as
“Globalization = Americanization.” While we cannot fully address the broad
question of whether the United States—as the sole surviving superpower—has too
much power, we can and should address the question of whether US companies (or
companies from anywhere else, for that matter) are either disproportionately or
increasingly successful in international competition.
One aggregate way of assessing this proposition is to reclassify the data on the
“top 100 transnationals by sales” (presented in the previous section) by country/
region of origin, because virtually all transnationals still have a clearly definable
home base. Given exchange-rate realignments and other changes over the period
considered, the results summarized in Exhibit 4 have to be interpreted with some
care. They do not, however, depict current or emerging US hegemony or that of any
other country.
Global integration ≠ global concentration
USA
No. of Companies
% of Sales
Europe
No. of Companies
% of Sales
Japan
No. of Companies
% of Sales
Other
No. of Companies
% of Sales
605
1971
1976
1980
1985
1990
1995
1999
59
65.5%
47
55.3%
44
50.2%
52
54.8%
27
32.2%
30
30.9%
26
31.0%
32
27.6%
38
32.3%
41
39.0%
31
30.5%
55
38.2%
44
30.8%
49
37.3%
8
6.4%
12
8.0%
10
6.9%
12
10.3%
12
28.2%
18
35.3%
18
29.7%
1
0.5%
3
4.4%
5
4.0%
5
4.4%
6
1.4%
8
2.9%
7
2.0%
Source: UN Center on Transnational Corporations
Exhibit 4 Top 100 transnationals by home country/region
An alternate and less aggregated way of assessing the hegemony proposition is to
take the analysis of leading firms down to the industry level. This comes closer to capturing the public-policy concern—articulated as such in many countries—about sustaining an adequate number of national (or, more recently, regional) champions in
specific industries/sectors. The data reported by Lawrence Franko constitute a valuable,
publicly available data set in this regard.8 Franko (1991) identified the 12 largest competitors in terms of sales in 14 industries—defined along the lines of the categories
used by Fortune magazine but screened for importance—in 1980, 1990, and 2000. His
results are summarized in Exhibit 5. Once again, the picture is far from one of a hegemonic
or ascendant United States. Instead, US companies lost considerable amounts of market share, on average, in the 1980s, which they regained partially or almost not at all
(depending on the average measure used) in the 1990s. Just as it was erroneous to herald Japanese gains through the 1980s as harbingers of Japanese hegemony, it is erroneous to assert US hegemony in the 1990s—the data simply do not support the premise.
Of course, these data have their limitations: they focus on sales (and ignore profitability), are confined to manufacturing, and—because of the emphasis on industries
that can be looked at over twenty years—are biased away from newer industries. As a
rough way of remedying these problems, one can look at the market values of the
equity of companies listed on stock exchanges in different countries/regions, as shown
in Exhibit 6. Note, in particular, that while the US share of world equity market value
has increased by 20 percentage points in the last fifteen years, it would have to increase
by nearly as much again to reach the share level of 1973.
8
This analysis could also effectively be undertaken with the data used to generate Exhibit 1, but some
of those data are not in the public domain; in addition, Franko’s work provides a different and, in
some—but not all—respects, a better mix of industries.
606
P. Ghemawat and F. Ghadar
1980
1990
2000
Mkt.Share Mkt.Share Mkt.Share
USA
Aerospace
Autos and Trucks
Chemicals
Computers
Electrical & Electronics
Foods & Drinks
Iron & Steel
Non-Ferrous Metals
Farming Equip.
Paper Prod.
Petroleum Prod.
Pharmaceuticals
Textiles
Tires
Median Share
Weighted Avg.
Europe
Median Share
Weighted Avg.
Japan
Median Share
Weighted Avg.
Other
Median Share
Weighted Avg.
83.0%
27.2%
26.0%
86.1%
43.0%
52.8%
25.8%
9.0%
63.0%
62.2%
64.0%
80.3%
47.2%
57.0%
54.9%
50.0%
78.4%
24.0%
19.0%
68.5%
11.1%
62.4%
0.0%
9.9%
36.0%
61.0%
47.0%
78.7%
27.0%
39.9%
38.0%
37.0%
77.3%
18.0%
28.0%
74.0%
29.5%
50.0%
3.6%
26.5%
42.0%
64.8%
35.3%
72.0%
51.0%
49.9%
45.9%
38.4%
33.9%
40.2%
34.5%
40.8%
32.5%
36.9%
6.0%
8.1%
9.5%
18.3%
17.5%
21.0%
0.0%
1.7%
0.0%
3.9%
0.0%
3.8%
Source: Franko (1991, 2002).
Exhibit 5 Country/regional shares of top 12 sales by industry
Some readers may remain convinced of current or incipient US business hegemony. They may point, for example, to US prowess at global mass marketing and high
technology. In fact, there is some evidence that the US multinationals do especially
well in these areas: for example, the BusinessWeek/Interbrand Survey released in
August 2003 concluded that US companies controlled 62 of the 100 most valuable
brands in the world, including the top five. Franko’s data indicate that in 2000, the
sectors that the United States dominated to progressively greater extents were pharmaceuticals, computers, aerospace, and, most lopsidedly, software (in which US firms
accounted for an estimated 90% of sales in 2000 according to Franko but which was
not included in Exhibit 5 because of the lack of data for 1980) (Franko, 2002).
But the power of tests along these lines is weakened by multinationals’ general tendency to cluster in advertising and R&D-intensive sectors. Furthermore, evidence of
this sort often proves susceptible to rebuttal. Thus, the BusinessWeek/Interbrand Survey,
with its message of US brands holding up well despite anti-Americanism around
Global integration ≠ global concentration
607
Share of World Market Value
100%
80%
Other
60%
Europe
40%
Japan
20%
USA
19
73
19
76
19
79
19
82
19
85
19
88
19
91
19
94
19
97
20
0
A
ug 0
.2
00
3
0%
Source: Datastream.
Exhibit 6 Share of equity market value by country/region (%).
the world (Khermouch, 2003), was released on the heels of a study by Roper that indicated a loss of popularity by most big US brands versus gains for most European and
Asian brands (Lowry Miller, 2003).
Assertions about US business hegemony seem, for all these reasons, to be dubious.
But that still leaves open the possibility of collective hegemony exercised by the
United States, Europe, and Japan. Exhibits 4 and 5 indicate that progress by countries
in the periphery has been slow—relative to those in the core—and not always monotonic. So is the picture one in which globalization benefits only a small number of
countries in the core, while leading to the marginalization of all the ones in the
periphery? Given the growth now being registered by China (and, to a lesser extent,
India), the answer again seems to be “no.” In fact, while aggregate indices offer an
ambiguous picture, the concentration of international trade and investment flows
declined over the last two decades among relatively open economies, whereas the
opposite was true of relatively closed economies (Low et al., 1998).
This is at least somewhat reassuring. It suggests that continued marginalization is
more likely to be a consequence of domestic policies in relatively closed countries than
an ineradicable feature of globalization. And more broadly, the basis for inferring
business hegemony seems slender.
5. Global integration ¹ geographic concentration
National hegemony represents an extreme form of country/locational concentration. But
even if we conclude, for the reasons stated above, that hegemony is not an issue, country/
locational concentration continues to be of interest—particularly as a window on the
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P. Ghemawat and F. Ghadar
“one best place” intuition formalized by the Hecksher-Ohlin theorem of international
trade. Simply put, this theorem states that as barriers between regions drop, a region will
specialize in the industry that uses relatively intensively its relatively abundant factor.
How much has geographic concentration increased in recent decades? Given the
emphasis here on broad cross-country coverage, one must work just with manufacturing data to (partially) answer this question. Knetter and Slaughter (1999) have calculated a Herfindahl-like geographic concentration index based on United Nations
Industrial Data Organization (UNIDO, 1995) data on the output (again, value-added
would have been preferable) of 28 three-digit manufacturing industries between 1970
and 1992, with results that are reproduced in Exhibit 7.
Their calculations indicate that the geographic concentration of production, averaged across the industries in the UNIDO panel, declined significantly during the
1970s and drifted downward throughout the 1980s. Updating their analysis with a
somewhat different data set (that has different coverage and does not go as far back)
suggests that the measures of geographic concentration mostly stagnated through
most of the 1990s—at least through 1997, after which the coverage in the data set used
(countries accounting for 64% of world GDP in 1997) drops off drastically. Overall,
therefore, the data indicate greater geographic dispersion, rather than concentration of
production, in most categories of manufactured products since 1970.
Exhibit 7 Geographic concentration: average for 38 manufacturing industries since 1970.
Global integration ≠ global concentration
609
Other studies, undertaken with narrower geographic coverage but possibly finergrained industry definitions, seem to find decreases more often than increases, but
there are differences in this regard, for several reasons. First, the measures of geographic concentration are very sensitive to the spatial scales employed, so that a conclusion of geographic dispersion at the global level may not tell us very much about
what is happening at the regional level, and so on. Second, results also seem quite sensitive to the level up to which industries are aggregated: broad levels of aggregation are
often undesirably broad but are also often the only ones for which cross-country data
are available. In other words, there is a trade-off between breadth and depth. Third,
ambiguity about precisely how to measure agglomeration can persist, even if issues
related to spatial scales and level of aggregation can be resolved.
This point is nicely illustrated by Aiginger and Davies (2004) with the help of a global production matrix in which the columns refer to countries and the rows to industries. They note that a pure specialization-based measure is obtained by reading down
each column, whereas a pure concentration-based measure is obtained by reading
along each row—and that while one might expect the two to move in tandem, that is
not the only possibility. In fact, when Aiginger and Davies look at the European
Union between 1985 and 1998 (a period roughly centered on the Single Market
Program date of 1992), they find that specialization increased over this period, but—
as a result of faster growth by the smaller member states—geographic concentration
actually decreased. Clearly, geographic concentration can pick up things other than
specialization—sometimes, as in this example of the European Union, to overriding
effect.
To proceed beyond such observations about complexity in the data, it is useful to
begin by noting that while the prediction of increased geographic concentration in the
presence of globalization has more of a theoretical basis than the neo-Marxist–Leninist
beliefs cited above in the context of superconcentration and country hegemony, this is
not the only possible prediction about what will happen with increased international
trade and investment as well as with other plausible dynamics such as growth.
To begin on the demand side, the literature on monopolistic competition cited in
Section 2 effectively points in the direction of decreased geographic concentration by
suggesting that as fixed costs fall or demand grows, more varieties are likely to be produced locally. Dispersion can also arise as a result of following customers to new geographies—one of the major reasons why Madison Avenue, which continues to be
emblematic of advertising, has ceded share in the US market for decades now. The
shift in US economic activity (and even international economic activity) toward services may point in the same direction, given that many service operations must still be
located where the services are provided to customers.
On the supply side, dispersion may be motivated by the avoidance of local resource
depletion, congestion, or even holdup (e.g., when Japanese automakers entering the
United States decided to locate away from the traditional industry centered around
Detroit). And in terms of the popular categories of knowledge/information/technology,
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the supposed convergence of national innovation capacities could lead to more dispersion, rather than less. Thus, the rejection of product life-cycle theory by its original
proponent, the late Raymond Vernon—principally on the grounds that it no longer
makes much sense to talk of “lead countries”—would seem to suggest less geographic
concentration in the production of early-stage/high-tech products (Vernon, 1966,
1979). More broadly, the diversity inherent in dispersion can unlock a range of benefits in terms of risk reduction, learning, and so on. And finally, from the perspective of
a firm, globalization typically involves more, rather than less, geographic dispersion of
the activities that it performs. A simple emphasis on the centripetal forces that lead to
agglomeration economies is unlikely, by itself, to offer much help to firms contending
with centrifugal forces.
Despite all these arguments about why geographic concentration may not be the
wave of the future, currently successful geographic clusters exert a powerful hold over
the imagination. So instead of continuing to argue in general terms, let us place in perspective a geography that has attracted particular attention in this regard: Silicon Valley.
In the eyes of many, Silicon Valley is the home of the IT industry. But the industry’s
center of gravity has shifted over time; when mainframe computers dominated, the
industry clustered around New York; Boston took over with minicomputing; and personal computing was born in Florida and Houston (although it did come of age in the
Valley). More recently, industry mass has been migrating to other locales that have
managed to grow industry leaders such as Redmond, Washington (Microsoft),
Austin, Texas (Dell), and Walldorf, Germany (SAP)—although the Valley has continued to have hits as well, for example, Google (Special Report, 2003). A different kind
of threat is posed today by migration offshore—to countries such as Russia, China,
and India in particular. Within India, ironically, congestion in the one location that
everyone outside India has heard of, Bangalore, is leading the largest software service
firms to focus on expanding in other cities that you will probably hear more about,
such as Chennai. All in all, this brief history fails to substantiate the “one best place”
notion—and this in a broad sector in which geographic concentration is, at multiple
spatial scales, well above average. Instead, it seems better to think of the world as one
in which countries exist in multidimensional space, at varying distances—cultural,
administrative/institutional/political, and economic as well as geographic—from each
other, with “many best places” in many industries as a result. Some of the strategic
implications of taking this broader view will be elaborated in Section 7. But first,
Section 6 will consider why beliefs that global integration equals global concentration
are so widespread—as well as what to do to counteract them.
6. Biases to beat
The previous four sections debunked beliefs about increasing cross-border integration
of markets being accompanied by increases in four different measures of global
Global integration ≠ global concentration
611
concentration. Because such beliefs seem to be broadly held, it is useful to try to
specify—or even speculate about—the systematic biases that underlie them. Understanding such biases is the first step in inoculating practitioners—and academics—against
them. And, as elaborated in the next section, such inoculation is the first step on the road
to thinking much more broadly about increasing global integration and strategy.
This section will therefore discuss four (overlapping) correlates of an expressed
faith that global concentration is going up: deficient data, belief in borderlessness,
egocentricity, and mixed motives. The discussion will focus on global seller concentration in the automobile industry so as to permit a more textured discussion of
beliefs and bias than an inter-industry perspective would.
To begin with some background data, the automobile industry is very large: it
accounts for about 10% of the GDP in developed countries. It is not, however, very
profitable, as of the early 2000s, barely one-half of the world’s 17 largest automakers
(and only two of the top five) covered their costs of capital. As a result of persistent
pressures on profitability, the industry’s share of stock market capitalization had
fallen to 1.6% in Europe and 0.6% in the United States by 2002, down from 3.6% and
4%, respectively, two decades earlier. For a solution to their profitability problems, a
number of major automakers locked on to a vision that apparently first occurred to
Giovanni Agnelli, the long-time chairman of Fiat, in the 1980s: that in a globalizing
car industry, there would be room for no more than six major players worldwide—
and that industry profitability would improve as a result of increased concentration.
The DaimlerChrysler megamerger, for instance, was motivated by this vision.
Has the vision of increasing concentration been fulfilled? The data we rely on to
answer this question are based on unit volume rather than on financial revenues,
which is important given the long time frame adopted and the large shifts in exchange
rates experienced over it (especially the revaluation of the Japanese yen).9 The data
account for mergers, acquisitions, and even joint ventures—each partner is allotted a
share of the output according to its ownership percentage. Thus, the data pick up on
the effects of GM’s attempts to consolidate by forming a string of international alliances as well as mergers such as DaimlerChrysler. Our preferred concentration measure, partly for purposes of comparability with the data reported for 1950–1970 by
Raymond Vernon and his associates, is a modified HHI, calculated by squaring the
unit market shares of the top 10 producers in a given year and summing them
(although the shares themselves are based on the size of the total market rather than
on the combined size of the top 10 firms). However, over shorter time frames, we also
report C5: the sum of the units sold by the top five producers divided by the total
number of units sold.
9
The sources of data relied on were the Motor Vehicles Manufacturing Association, AutoIntell at
www.autointell.com, the Autozine at www.autozine.org/Manufacturer/Manufacturer2.htm, and the
Standard and Poor’s website.
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P. Ghemawat and F. Ghadar
The actual direction of change of global seller concentration in the automobile
industry depends on the time frame used as well as on the choice of concentration
measure. If one treats 2000 as the ending year and focuses on the Herfindahls, automobile industry concentration decreased since 1970, stayed steady since 1975,
increased since 1980, decreased since 1985, and increased since 1990.10 These reversals
suggest modest changes, as was indeed the case, between 1970 and 2000, the HHI
stayed within 1% point of its ending value of 7.1% (equivalent to the level that would
be generated by 14 equally sized producers). Furthermore, the post-1970 changes,
whether positive or negative, pale in comparison with the pre-1970 declines in concentration, from an HHI of 20.2% in 1955 (slightly higher than the level that would be
generated by five equally sized producers) to >30% in the 1920s. Note that the same
broad story of big declines through 1970, followed by net stagnation since then (the
period for which we actually have detailed data), also appears to apply to the C5 measure.
So the automobile industry does not seem to be the most promising venue for proclaiming large increases in global seller concentration.
6.1 Deficient data
Why, despite the availability of such evidence to the contrary, might major automakers believe that global seller concentration is actually increasing rapidly in their industry? The most obvious answer is that at least some major automakers have failed to
measure—or failed to focus on the measures of—concentration in their industry.
We think that there is something to this idea, especially over the long time frame
required for perspective on changes during the last decade or two. The long-term perspective is particularly important in the automobile industry because it is growing
slowly at a global level and because key commitments within it—for example, development of a new product family or a significant expansion of manufacturing
capacity—take a long time to execute, implying that global market shares do not
change very quickly at all, except as a result of large-scale mergers (or breakups).
This leads directly to our first recommendation for managers: search out the evidence.
Instead of taking assertions of increasing concentration at face value, one should look
for data that would indicate whether such increases are actually occurring. Sometimes, there will be trouble finding any data, pro or con—obviously, not a good sign.
Data deficiencies are not neutral in their effects. In the absence of hard data on
market shares, familiarity and other information-availability biases can contaminate
inferences. Thus, the disappearance of British Leyland, which ranked among the
10
Concentration based on the C5 measure was roughly the same in 2000 as in 1970, significantly
higher than in 1980, slightly higher than in 1985, and significantly higher than in 1990. To be more
specific, Exhibit 1 indicates that C5 increased from 51% to 53% between 1985 and 2000—a period over
which the HHI actually decreased from 8% to 7%. The C5 index experienced less pressure than the
Herfindahl partly because the transfer of share from the largest player, GM, to others in the top five
(particularly Toyota and Volkswagen) would not have reduced C5 but would have reduced the HHI.
Global integration ≠ global concentration
613
world’s 10 largest automakers through the 1970s, is still vivid to many, especially in
Europe; by contrast, the website of the International Organization of Motor Vehicle
Manufacturers has yet to list any Chinese manufacturers among the 33 for which it
provides production data—even though China is expected to become the second largest market for automobiles in less than five years. Focusing on the deaths of large
competitors while forgetting about the birth of new ones can safely be predicted to
lead to unwarranted inferences of increasing concentration.
We also think, however, that there is more to the matter than the simple lack of
(focus on) data. Consider the case of DaimlerChrysler—one automaker that did look
at a concentration measure of sorts over a long time frame. Exhibit 8 reproduces some
material from public presentations by company executives.
It is useful to begin by emphasizing that although the negative slope (since 1940) of
the curve in Exhibit 8 might seem to parallel the evolution of the HHI in Exhibit 2a, it
actually points in the opposite direction. The reason is that in Exhibit 8, the measure
on the vertical axis is an inverse measure of concentration; the fact that its value moves
down over time therefore suggests increasing concentration in the postwar period.
So Exhibits 2a and 8 paint very different pictures of seller concentration over their
half century of overlap. Which way of looking at the data is better? A vast body of
work in industrial economics—the field that has looked in the most depth at the
causes and consequences of industry concentration—suggests that the measures of
concentration should make some attempt to capture the size distribution of firms—as
Number of mainstream
independent companies
in the automotive industry
Economies of
scale drive
consolidation
270
Antitrust
restricts
further
consolidation
Fast technological innovation
and competition for dominant
product design
12
1880
1900
1920
Phase I: Foundation
of many small
businesses
1940
1960
Phase II:
Consolidation
phase
1980
2000
2020
2040
Phase III: Fairly stable
industry structure of
established players
in the foreseeable future
Source: DaimlerChrysler.
Exhibit 8 Industry concentration analysis at DaimlerChrysler.
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P. Ghemawat and F. Ghadar
both C5 and the HHI traced out in Exhibit 2a attempt—instead of simply counting
the number of firms. Or to pick a historical example from the automobile industry
that managers within it may find more convincing, while Exhibit 8 indicates that there
were about 200 independent automobile manufacturers in the mid-1920s, it fails to
recognize that one of them, Ford, accounted for one-half of the total global output
then—a critical fact that neither C5 nor the HHI would neglect. More recently, a
comparison of the mass-market segment (where Chrysler traditionally focused) and
the luxury segment (where Daimler–Benz traditionally focused) should have reinforced this focus on concentration ratios for DaimlerChrysler, at least. At first blush,
the luxury segment appears to present a paradox by (i) being more profitable and (ii)
supporting relatively more nameplates than the mass-market segment. Bringing the
size distribution of competitors into the picture is what resolves the apparent paradox:
concentration ratios are in fact higher in the luxury segment, especially when account
is taken of the greater differentiation among luxury subsegments than among massmarket subsegments.
6.2 Belief in borderlessness
Data deficiencies are a very specific reason for a misplaced belief in increasing seller
concentration. A broader set of possible reasons relate to how companies frame data
about domestic versus foreign markets, which can lead to an overemphasis on volume
and growth in the discussions of globalization and—through the attribution of similar
intent to one’s rivals, and adding up—inferences of increasing seller concentration.
Consider, in this vein, the predictions of a borderless world offered, most recently, by
Thomas Friedman’s (2005) The World is Flat—although these actually date back to Ted
Levitt’s (1983) article in the Harvard Business Review, “The globalization of markets,”
one of the sections of which was titled “The Earth is Flat.” Suppose that the CEO of, say,
General Motors (GM) bought the argument of a borderless world and prepared to act
on it. Note that GM still sells only slightly more than 1 car per 1000 habitants per year
outside North America versus more than 11 cars per 1000 within North America. If GM
truly believed in a borderless world, it would plausibly attempt to raise its penetration in
other regions to levels closer to those at home. And if enough other firms strove to do
the same, general concentration levels might be predicted to increase. More broadly,
domestic saturation (the usual stage at which firms move abroad) and belief in a borderless world, taken together, will lead to the perception of “Blue Oceans”11 of opportunity
internationally, presumably frequently followed by perceptible flows of international
red ink. In other words, a borderless frame applied to the usual differences in penetration levels at home and abroad is likely to induce global growth fever.
This type of example also implies that industries in which concentration is increasing may be worth splitting up into those in which it has (so far) proved profitable for
11
On blue oceans, see Kim and Mauborgne (2005).
Global integration ≠ global concentration
615
the consolidators versus those in which it has not. Even when global seller concentration increases are observed, the consolidation strategies that underpin them may be
mistaken (e.g., in the home appliance industry, where global seller concentration has
increased from minuscule levels, but the two industry leaders, Whirlpool and
Electrolux, have clearly lost money).
The obvious remedies for this problem are to remind oneself in as many ways as
possible that the world is not flat. Remember in specific terms the deep differences
between domestic and foreign markets. Recognize differences among nonhome markets as well, rather than treating them as an undifferentiated mass. Recall that value
has components other than volume or growth. And above all, keep telling yourself
that you live in a semiglobalized world, in which neither the barriers at national borders
nor the bridges across them can be ignored—on which more is in the next section.
6.3 Egocentricity
Even when more or less pertinent data are available to challenge beliefs about increasing global concentration at the industry level—or the supposed firm-level strategic
implication of getting big fast—firms often seem not to update their prior beliefs to
the appropriate extent. While cognitive frames may be part of the reason why disconfirming data might be underweighted in ways that encourage unwise consolidation
initiatives, other possible reasons are related to the egocentric biases that are well
known in psychology.
One bias of this sort is the illusion of control or, to be more specific, the illusion of
being able to control outcomes to a greater extent than is objectively feasible. Such a bias
tends to discount feedback about whether a mental model of an industry’s evolution, or
of how to compete within it, actually appears to be proving correct or not. Thus, simulations of concentrated, capacity-driven industries facing growth in demand consistently
exhibit a bias toward overexpansion and other unreasonable behavior/undesirable
outcomes that researchers attribute to misperceptions of feedback, broadly defined.
[Note, by the way, that overcapacity is a major problem in the automobile industry:
global capacity utilization is only slightly above 70%, i.e., well short of the 80% level at
which an “average” player is generally supposed to earn a reasonable return and is
expected to decline further over the next few years (see, for instance, Girsky, 2005).]
A second, related explanation of the bias toward overexpansion—linked more to
the selection of a strategy of getting big fast than to intuitions about increasing industry concentration—has to do with the progrowth boosterism that often results from
individual biases and the organizational routines that reinforce them. At the individual level, human beings tend to be overly confident about their abilities. In surveys,
for instance, 93% of US college students rate themselves as above-average drivers.
Within business, overconfidence biases may be especially prominent among successful
executives, and there is evidence that this is reflected in their investment choices—so
it is not far fetched to assume that unwarranted self-regard can create an upward bias
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P. Ghemawat and F. Ghadar
in growth targets. At the organizational level, overexpansion may be reinforced (or at
least offered cover) by a shared belief that bigger is better, routinized focus on “stretch
goals,” a failure to recognize the reality that growth rates tend to drop as organizations
age, an urge to mimic the expansion of competitors, and, frankly, confusion as to
whether market share is a symptom of success or a valid strategic goal in and of itself
(Ghemawat, 2004a).12
An apparent example of such egocentric biases at work is provided by Ford,
another major automaker with a strong belief in increasing industry concentration.
Over the last ten years, Ford has embarked on two global initiatives in autos—in the
mid-1990s and at the turn of the century—to reclaim the title of the world’s largest
automaker from GM, which GM wrested away in the 1920s as a result of Ford’s excessive commitment to the Model T. The actual outcome? Toyota, which Ford seems to
have paid much less attention to, recently dislodged it from the number two spot and
is the company on course to take over the number one spot from GM in a few years.
With the help of hindsight, one suspects that Ford was overconfident. The point is not
to pick on Ford but to illustrate how costly egocentricity of this sort can be.
Some obvious analytical fixes can also be recommended. Pay attention to the process averages (e.g., how often initiatives such as mergers succeed) and to careful
assessments of relative position instead of simply assuming personal or organizational
capabilities to be (sufficiently) above average. Get inside the minds of competitors to
predict what they are thinking and will do. Add things up across competitors, with
growth targets that significantly exceed overall growth predictions raising very bright
red flags, and so on. But in addition to such analytical fixes, there is an important
organizational component to overturning misconceptions about concentration or
growth boosterism: an organization must, at some fundamental level, be receptive to
the bad news that it might have gotten industry concentration dynamics or the strategic implications for itself wrong, if data or analysis suggesting as much are to have
any impact.
6.4 Mixed motives
The discussion above hints at a final set of reasons for biases regarding global concentration: incentives and other motives that may have an influence on strategy selection
that is independent of the consideration of value creation for the organization. To
clarify, instead of believing that global integration implies global concentration, key
organizational actors may just act as if they do, and use that common misconception
to justify actions that they have other, often personal, motives for favoring.
It is easy to think of a number of motives for favoring the line that “industry concentration is increasing so we must get big fast”: profiting from incentive system
biased toward top-line growth; tasting the joys of empire-building; reducing personal
12
For further discussion of some of these points, see Ghemawat (2004a).
Global integration ≠ global concentration
617
risk by doing what “everybody else” is doing; preserving personal precommitments to
cross-border consolidation (e.g., acquisitions and manifestoes) that it would be awkward or otherwise difficult to reverse; or relying on the advice of parties who have
their own vested interests in growth (e.g., investment bankers).
Once again, it is hard to say for sure whether motivational biases lie behind particular cross-border consolidation moves or strategies, but one can certainly identify
occasions on which the signs seem to point in that direction. Reconsider, for example,
the more recent of the two major global initiatives at Ford that were cited above: the
one overseen by Jacques Nasser. Nasser was Ford’s CEO from 1999 to 2001, when he
was forced out and replaced by William Clay Ford. In the first year or so of Nasser’s
reign, Ford was the most profitable car company in the world and enjoyed a soaring
stock market valuation. This success sparked a plan to overtake GM that reflected
Nasser’s belief—apparently reinforced by the DaimlerChrysler merger in 1998—that
the automobile industry would consolidate into five or six major players worldwide.
But it also happened to fit neatly with Nasser’s own compensation scheme. In 1999,
for example, he received compensation of $13 million, including a $6.8 million cash
bonus. That bonus was 34% larger than that in the previous year, according to Ford,
because of Nasser’s “expanded role as head of a restructured global company.”13 One
could say that global expansion was effectively in Nasser’s job description.
Our recommendations for managers: Be clear about incentives and other motivational factors—including your own—to account for mixed motives. Otherwise, you
will end up being fooled by others—or fooling yourself. And from an organizational
rather than individual perspective, think hard about better governance as a safety net.
7. Beyond dinosaur economics
Data on concentration levels and changes are important because they challenge not
only widespread beliefs about the dynamics of seller concentration but also the strategic inference commonly derived from them: get big fast because as your industry
concentrates, you will either eat or be eaten. For a specific example, reconsider the
DaimlerChrysler megamerger. The two merging parties apparently framed the major
competitive problem in the automobile industry as one of surmounting escalating size
thresholds: a structural setting in which it is relatively plausible that mergers between
mid-sized firms might yield proprietary advantages that enhance relative profitability
or the likelihood of survival.
But the data presented in the preceding section actually pointed to a rather different structural diagnosis: of too much fragmentation and, relatedly, overcapacity in the
automobile industry as a result of too much entry and too little exit. A merger of two
13
“Ford pays Nasser $13 million,” The Detroit News (online), www.detnews.com/2000.autos/0004/
16/b01-35183.htm (accessed February 13, 2004).
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P. Ghemawat and F. Ghadar
mid-sized firms makes much less strategic sense in such a setting, because merging
and taking out a competitor under conditions of overcapacity can be thought of as
paying for the supply of a collective good (capacity reduction) to the industry as a
whole; proprietary advantages from merger seem, by contrast, elusive.14 So correctly
framing the structural setting would have raised additional questions about and perhaps even undone what was the largest industrial merger in history up to that point.
More generally, invoking increasing global seller concentration as an incentive to
pursue a global consolidation strategy is problematic for at least three reasons. First, as
in the auto example, global seller concentration may not be increasing rapidly in a
particular industry and may even be stuck at levels that call global consolidation strategies into question. Second, and this was the topic of the preceding section, even if
global seller concentration is increasing, bias rather than basic economics might be a
significant driver, raising doubts about the wisdom of attempting to be one of the
consolidators. Third, even if neither of the caveats about increasing concentration
under the first two points applies, assuming the role of a consolidator probably cannot
make sense for every player, so this is, quite literally, an idea that is valid only up to a
point. (If, despite such considerations, a general consolidation frenzy does break out,
it is typically better to be a seller than a buyer.)
A broader way of thinking about these three points as well as this whole article is
that they all take aim at what has probably become the central obsession in global
strategy: the advantages of being or becoming very large, or what one might call “dinosaur economics.” This article has focused on explaining why a simple faith in dinosaur
economics is likely to prove ill-founded. But there is yet another crucial problem with
dinosaur economics that entangles even reasoned debates about its empirical validity.
Framing “[t]o consolidate or not to consolidate” as the key question in global strategy
greases the way for grooved thinking by casting the process of global engagement in
purely scalar terms. What is crowded out—and called for, as a result—is the consideration of other, more creative ways of adding value through cross-border operation in
a world in which markets are becoming more integrated, but borders still erect big
barriers (i.e., a “semiglobalized” world in which the level of cross-border integration is
increasing but is still far from complete—see Ghemawat, 2003, for a review of the
evidence).
While this call cannot fully be followed up on here, one way of thinking about these
nonscalar global strategy options—based on author Ghemawat’s forthcoming book
(Ghemawat, 2007)—will be mentioned, more as an example that puts some flesh on the
abstraction of alternatives to dinosaur economics than as the way forward. Note that a
14
As one of its points of contact with reality, the DaimlerChrysler megamerger appeared not to pursue proprietary advantages particularly strenuously: the two parties started with distinctly nonoverlapping product lines, were studiously vague about coordination plans—and about Mercedes’
disdain for Chrysler—in preparing for the merger, and, in postmerger integration, focused on backend consolidation of activities accounting for just 7% of sales revenue.
Global integration ≠ global concentration
619
Exploitation of Similarities
Local
responsiveness
Scale
economies
Adaptation
Aggregation
Arbitrage
Absolute
economies
Exploitation of Differences
Exhibit 9 Adaptation, aggregation, and arbitrage strategies for dealing with international
differences.
natural way of identifying such alternatives is to focus on the cross-country differences
on which purely scalar conceptions of global expansion so often run aground. From this
perspective, one can distinguish three (overlapping) categories of global strategy options
that take the differences among countries more seriously than dinosaur economics, as
illustrated in Exhibit 9 and briefly discussed below.15
Adaptation strategies cope with cross-country differences by making partial local
changes to a basic template. These have been discussed most extensively in the international business literature, in terms of the tension between local responsiveness and
global integration. Recent work has emphasized that to be adequate, adaptation must
often go beyond simply tweaking product features or decentralizing some marketing
decisions, and it has highlighted additional levers for adapting—focus, modularization, platforming, organizational hybridization, and multiculturalism, for example—
as well as innovation.
Aggregation strategies can be seen as an approach to the integration-responsiveness
trade-off, which, by grouping countries, functions, and so on, tries harder to overcome
differences and achieve greater cross-border economies of scale than country-bycountry adaptation would allow. While there are many possible bases of aggregation
(and combinations thereof), the ones that seem to have occasioned the most excitement
15
Note that dodo strategies that involve complete localization of operations in different countries are
ruled out here because they fail the added-value test: creating more value by combining and coordinating activities across geographies than standalone operations in different geographies could.
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P. Ghemawat and F. Ghadar
recently include regional strategies, front–back organizations, and global account
management.
Arbitrage strategies attempt to take advantage of some aspect of the differences
between countries—that is, to achieve absolute economies, instead of giving in to differences (adaptation) or trying harder to overcome them to achieve additional economies
of scale (aggregation). While such strategies are often invisible in the international business strategy literature, or pigeonholed into offshoring in search of cheaper labor, the
economic bases of arbitrage strategies are much broader—especially in view of the residual barriers to cross-border market integration—and such strategies can also trade on
noneconomic differences (cultural, administrative, and even geographic).
8. Conclusions
The preceding sections have provided an array of evidence to counter the belief that
increasing global integration is accompanied by large increases in company/country
concentration, particularly global seller concentration at the industry level. This broad
finding of structural stability—or even fragmentation, especially if one takes the long
view—and its counterintuitive character appears as if it may also apply to concentration
along other dimensions such as product variety. Both proglobalizers (e.g., Ted Levitt)
and antiglobalizers (e.g., Naomi Klein) have proclaimed that globalization is reducing
product variety. But once again, there turns out to be no strong supporting evidence.
Instead, what one tends to find when one looks closely—for example, at the automobile
industry—are counterexamples. Thus, in autos, even DaimlerChrysler’s data suggesting
a decline in the number of “big independent manufacturers” indicate that there were as
many if not more brands in 2001 as in 1980, there has been a proliferation of models
and variants, and according to Ford’s outgoing COO, Nick Scheele, there were 184
“product actions,” in 2002, up from 52 in 1992 (Ghemawat, 2004b).16 So although global seller concentration in autos at the company level did inch up between 1980 and the
early 2000s, global product concentration appears to have decreased significantly over
that period—and certainly since the heyday of the Model T in the mid-1920s.
The ideas that a few core producers, a few powerful countries, or a few large varieties
will inevitably win out in global competition all embody what the preceding section
referred to as dinosaur economics: an obsession with economies derived from being or
becoming very large. From a company perspective, given the generally contrary evidence, it would be irresponsible not to test for evidence of the importance of such economies in the industry of particular interest, instead of taking them for granted. If, as will
often turn out to be the case, concentration is not increasing or is increasing despite
16
The preprint version of this article contained a separate section discussing whether increased crossborder integration was reducing product variety and is available upon request from the authors. For a
conceptual discussion of the reasons why increased integration may actually lead to increases rather
than decreases in product variety, see Ghemawat (2004b).
Global integration ≠ global concentration
621
not maximizing the value for the firms driving it, that should enhance a company’s
interest in looking beyond dinosaur economics, with the adaptation, aggregation, and
arbitrage (AAA) strategies described toward the end of the preceding section providing
one possible way of representing some of the alternatives. Actually, a company should
probably also think through alternatives to consolidation, even if it concludes that concentration is increasing and may have some economic logic. The reasons can best be
explained by putting dinosaur economics in historical perspective.
Dinosaur economics is not new to strategy. Its heyday in business strategy, in particular, seems to have come more than thirty years earlier, with the Boston Consulting
Group’s development and the popularization of the logic of aggressive expansion
strategies, based on its belief in the ubiquity of experience curve and the related sense
that industries become more concentrated as they mature. Business strategists have
moved on since then: while still recognizing that scale can be important, they now
question the validity of market share as a strategic goal in and of itself and acknowledge the multiple possible paths along which industries might evolve and, often, multiple ways of competing successfully within the same industry.
The objective in the present context should be to move on as well, and in a similar direction: going beyond the grooved thinking inherent in purely scalar conceptions of global
strategy (“to consolidate or not to consolidate”) to more creative consideration of different
ways of adding value by crossing borders. This will be liberating from the global strategist’s
perspective, because dinosaur economics does tend to straitjacket strategic choice.
Last but perhaps even foremost, the evidence presented in this article has some
implications for the broader debate about whether globalization is good or bad. To
the extent that concerns about a rising tide of global concentration are what spark
opposition from antiglobalizers—and there is evidence that they are important in this
regard—realizing that there is no general tide of this sort should provide some reassurance. Increased global integration does not inevitably imply the triumph of the
bigger—or blander.
Acknowledgements
The authors acknowledge comments by Amar Bide and an anonymous referee and
extensive editorial assistance from Jeff Cruikshank. Ghemawat’s work on this article
was supported by the Division of Research at the Harvard Business School and
Ghadar’s by the Center for Global Business Studies at Penn State University.
Addresses for correspondence
Pankaj Ghemawat, Harvard Business School, Soldiers Field Road, Boston MA 02163,
USA. e-mail: pghemawat@hbs.edu, and IESE Business School, Avenida Pearson 21,
Barcelona 08034, Spain. email: pghemawat@iese.edu.
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P. Ghemawat and F. Ghadar
Fariborz Ghadar, Penn State University, 429 Beam Business Administration Building, Center for Global Business Studies, University Park, PA 16802, USA. e-mail:
fghadar@psu.edu.
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