The Competitiveness of Nations
in a Global Knowledge-Based Economy
H.H. Chartrand
April 2002
The Limitations to Globalization: Technology Districts
and International Trade
Economic Geography
Volume 68, Issue
1
Jan. 1992,
60-93.
Index
Abstract
Six Propositions on Trade, Flexibility, Technology, and
Regional Development
Export Specialization and Technological
Dynamism
The Increase in Trade
Specialization
Trade and Product-Based Technological
Learning
Developmental Effects: PBTL versus the
Rest
Specialization in Three Countries
Technological Learning and the Organization of
Production
Technology, Evolution, and Increasing
Returns
Problems with Path-dependence and Lock-in: The Division
of Labor
Technological Oligopolists and Production
Networks
The Regional Basis of Technological
Learning
The Global Economy as a Mosaic of
Regions
Networks and Geographical
Agglomerations
Learning and Regional Context: The Qualitative
Specificity of Externalities
The Territorialization of Learning: Regions and
Countries
Flexibility, Technology Districts, and the World
Economy
Flexible Production as a Technological
Trajectory
The Technology District as a Particular Form of the
Industrial District
The Limits to Globalization
References
Abstract: The
proportion of traded goods in world output has been rising steadily over the
past several decades. When we look
at specific products exported by the advanced industrial nations, increasing
export specialization is evident. Such specialization cannot be explained
by conventional notions of comparative advantage, nor entirely by the new trade
theory based on economies of scale. Rather, a significant proportion must be
due to technological or “absolute” advantages on the part of the specialized
exporter, and a significant dimension of technological advantage is
product-based and renewed through learning, giving rise to dynamic economies of
variety as a source of export specialization. Industries characterized by such
product-based learning and absolute advantage tend to have important
developmental effects on their host economies because they earn quasi-rents.
Such industries also tend to be
organized into production networks combining the advantages of specialization
and flexibility, which are key to technological learning. These export-oriented absolute advantage
industries tend to be found in one or a few subnational regions of their host
countries. In this way, the global
economy may be thought of as consisting, in important part, of a series of
“technology districts.” Unlocking
the organizational secrets of technological learning in these places is now a
key task for understanding the dynamics both of these localities and of the
global economy as a whole. I give
examples from studies in
Six Propositions on Trade, Flexibility, Technology, and
Regional Development
Two images dominate our thinking about the changes
sweeping across the world of industry over the last two decades. First, the forms of production
organization that characterized the most dynamic industries of the postwar
period in the advanced economies, i.e., mass production in the consumer durables
sectors and their associated capital goods, are no longer as significant for
economic growth, change, and capital accumulation as once they were. The social science literatures are
replete with accounts of the restructuring of the Chandlerian-Galbraithian firm,
the spread of programmable technologies, the shortening of product cycles, the
deepening of contracting
* This paper is based on research carried out while the
author was a Fellow of the German Marshall Fund, and the support of the Fund is
gratefully acknowledged. Additional
support came from the International Studies and Overseas Programs of UCLA and
the Academic Senate of the
60
and subcontracting relations, the revival of small and
medium sized units of production, and an emphasis on quality as much as price in
competition. Second, firms and
production systems have patterns of input sourcing (capital, labor, intermediate
goods, and technology) and marketing that now are planetary in
scale.
In certain ways, these images are not mutually
consistent. An extensive case study
literature documents increased organizational decentralization and heightened
competition, united under the rubric of production flexibility. This same literature repeatedly calls
attention to a certain geographical reconcentration of production - what some
have called the “resurgence of regional economies.” 1 At the same time, our minds are flooded
by impressions of global firms and production systems no longer identifiable
with any particular region or nation and of a world economy governed by a few
globe-girdling firms. Couched in
these terms, moreover, such images encourage different, sometimes incompatible,
priorities for economic and regional policy.
The images may, nonetheless, be refined to capture two
interdependent aspects of contemporary industrial reality. I argue in this paper that the leading
edges of economic activity are highly identified with production systems that
are flexible in the specific, narrow sense of being organized to carry out
continuous product innovation. Production systems engaged in such
“product based technological learning” (henceforth PBTL) account for important
and increasing percentages of world exports; they are an essential element in
the globalization of economic relations. Yet the key parts of such PBTL industries
tend to be highly concentrated in distinctive subnational regions, in what I
call “technology districts.”
What follows should be regarded as a series of
hypotheses advanced on the basis of existing case study literatures and
theoretical work in several closely related fields, but not yet supported by
sufficient quantitative or qualitative information to accept or reject with
certainty. I employ an explanatory
architecture to make my case that systematically draws together four important
themes in contemporary economic-industrial research: the organization of
production systems; technological change; the emerging system of global trade
flows; and the relationship between specialized production regions and the
global economy. The argument can be
summarized in six propositions, detailed in the main body of the
paper:
(1) Trade specialization is evident when we look at the
specific products and clusters of cognate products exported by the advanced
industrial nations. Specialization
in a product exists when a nation’s share of world trade in it is greater than
the nation’s overall share in world trade. Each country has relatively few such
products, and dynamic approaches show that, in terms of export specializations,
the industrial structures of these countries are not
converging.
(2) There are a number of reasons for trade
specialization. One is that some
product markets or parts of production systems are not amenable to
standardization or routinization. In such cases, even the existence of
global markets does not call forth a single, uniform best practice. Rather, technological dynamism in
products, based on continuous “learning,” becomes a necessary part of certain
forms of “best practice,” and firms that generate this practice (i.e., products)
effectively create their own markets. PBTL is a sufficient condition to
generate trade specialization in cases of absolute (technological) scarcity of
the product. PBTL is necessary but
not sufficient in other instances, where price considerations also play a
significant role in determining the pattern of sales.
By contrast, countries not specializing in international
trade in a product frequently have laggard versions of the sector, i.e.,
products that are not state-of-the-art in quality terms.
1. See Sabel (1989) for a comprehensive review of this
literature.
61
It is likely that an increasing proportion of world
exports rests on PBTL. For single
countries, the proportion is highly variable, but it should be higher for those
countries with large export surpluses or rapid per capita income growth. The latter occurs because technological
scarcity generates quasi-rents and thus has more favorable developmental
outcomes for the exporter than do other forms of export
specialization.
(3) In such PBTL systems (whether in sectors where
product technology is highly uncertain, such as the high technology industries,
or in dynamic versions of a sector characterized by relatively “mature”
technologies), vertical integration of the production system tends to be
inhibited by firms’ need to avoid “lock-in” to a given technology; as a result,
technologically dynamic industries typically are organized in the form of
production networks, based on elaborate shifting divisions of labor, whether
between firms or between units of a single organization. Elaborate and shifting networks are a
principal organizational means of achieving the flexibility that forms the
corollary of PBTL.
(4) Networks also may exist in industries not
characterized by technological dynamism, particularly where simple market
uncertainty encourages vertical disintegration; thus, not all networks are
examples of PBTL-based international specialization industrial
complexes.
(5) The existence of networks and the geographical
agglomeration of important parts of the production system are positively related
in technologically dynamic industries. In the case of traded, PBTL industries in
France, Italy, and the United States, I observe that key collections of physical
capital, labor, and information resources are almost always highly
geographically concentrated in one, or a few, subnational regions of their
respective leader countries. Key
parts of today’s global economy may thus be thought of as a mosaic of these
dynamic regions, or what I call “technology districts.”
(6) The technological learning that characterizes these
agglomerations rests, to an important degree, on the conventions of the regional
production system. Conventions are
rules mobilizing resources and maintaining them in situations of mutual
engagement. The most important
dimensions of resource mobilization and engagement in PBTL systems are the
functions and qualities of different sorts of transactions among firms, between
firms and their labor markets, and between users and producers. PBTL is also dependent on the ways in
which conventions guide and differentiate the mobilization of specific factor
supplies in the form of public goods.
In all, conventions organize the specific transactional structure in
terms of: (a) patterns of resource mobilization; (b) forms of collective order
in labor markets and interfirm relations; (c) definitions of product quality;
(d) relations between key innovating groups and other groups in the production
system; (e) roles of regional and local third parties in harmonizing preference
structures; and (f) ideologies and cultures of local economic actors. The PBTL system’s evolutionary path is
therefore deeply rooted in its surrounding political economy. In other words, although the PBTL is
effective because it conforms to certain conditions prevailing in the global
economy, in many ways the specific forms of PBTL and the specific roots of PBTL
systems can be accounted for only by recourse to territorially based and
noneconomic forces, especially the conventions that structure the participation
of agents in PBTL production complexes. Stated differently, territorially bounded
conventions define the qualitative basis of the external economies of PBTL
systems. The conventions of these
networks are markedly different from those of their laggard
counterparts.
Let us now look at these propositions in greater depth,
drawing on examples from research on flexible production systems and trade in
the
62
Export Specialization and Technological
Dynamism
The two most statistically striking changes in the
advanced economies over the last two decades are (1) the decline of sectors
rooted in the “second industrial revolution” (the metalworking and mechanical
sectors) and their replacement as motors of growth by commodity chains centered
on the “third revolution,” in electronics and certain services, and (2) the
internationalization of markets. Between 1967 and 1986, for example, gross
output of the world’s economies increased by a factor of 6.5 (to 15,730 billion
1986 dollars), while trade multiplied by a factor of 10 (attaining $3,127
billion). The share of trade thus
increased from 12 percent to 20 percent.
The rise in trade is manifest in an extraordinary
variety of sectors. Trade in goods
(except energy) increased from 8 percent to 12 percent of world output and trade
in services from 1.5 percent to 2.5 percent (Lafay and Herzog 1989). Among the goods-producing sectors, the
increase is surprisingly widespread. Those filières (commodity chains)
having stable or increasing shares of world trade include metalworking,
machinery, vehicles, electronics, chemicals, textiles, woodworking, and paper.
Those declining significantly in
trade shares include non-ferrous metals, electrical machinery, steel, and food
processing.
The Increase in Trade
Specialization
The dramatic rise in international trade is also
associated with widespread increases in (inter- and intraindustry) export
specialization by the world’s advanced industrial economies. In a world where trade grows more rapidly
than production, mastery of tradeable production offers the greatest growth
multiplier to producer firms, regions, and nations.
The analyst needs a high level of commodity
disaggregation to appreciate this specialization. A trend toward convergence in broad
patterns of production and exporting of different countries has been well
identified at the broad (equivalent of 2- or 3-digit) industry level. Against this, however, intraindustry
product specialization and trade have increased as a result of specialization of
exchanges within the same broad sectors (Gerstenberger 1990; Greenaway and
Milner 1986). This is a consequence
of complex intermediate inputs in some industries and of product differentiation
in others. As a result, when trade
is examined at the level of 5-digit SITC products, the similarity of export
vectors of the main industrial countries has decreased steadily since 1978
(Gerstenberger 1990).
Trade and Product-Based Technological
Learning
A large and growing share of world trade consists of
exchanges unexplainable by traditional theories of comparative advantage (Tyson
1987). Drawing on recent
theoretical work on technological innovation, industrial organization, and
trade, a coherent logic can be put together for why certain products are made in
relatively few places.
Three general explanations exist for the persistence of
trade: factor cost differentials, economies of scale, and technological mastery
or scarcity. In the standard trade
theory, comparative advantage emerges either from the range of natural resources
present in a given place or from reductions in relative costs of production
owing to the choice of activities best adapted to the local factor mix. Yet when a product is subject to the
conditions of perfect competition on which the standard Ricardian theory rests,
there are ample reason for expecting that, in today’s world, the proportion of
its output that is traded will steadily diminish. This result, precisely the opposite of
that predicted by the standard theory, emerges because the world of production
has changed fundamentally since the time of Ricardo. We now live in a world where factors of
production for technologically stable products are
63
not endowed, but produced as intermediate inputs. Almost any developed country making the
effort can become as efficient as the next country in a technologically stable
manufacturing sector. As Vernon
(1979) intimated, with respect to the efficiency of production processes, the
diffusion time for standardized technologies has progressively diminished,
because of the domination of mass production by global corporations whose
networks have spread and deepened over the past few decades and because of
interfirm and intercountry technological imitation. For example, as Amendola, Guerrieri, and
Padoan (1991) show, technological variation among major countries tends to
diminish steadily after major technological revolutions. The result is convergence in the costs of
production of different countries in markets for standardized goods. Put another way, the hardware applied to
a given production task in the industries of the major industrial countries is
increasingly similar. Yet, as
Pavitt and Patel (1990) also demonstrate, major (multiproduct, international)
firms are consistently more diversified in their possession of production
technologies than in their product ranges. As a result, even in the recent period
(characterized by the technological scarcities generated by the microelectronics
revolution), the coefficient of trade specialization of the major industrial
countries has increased much more than the coefficient of technology
specialization. 2 Moreover, Amendola et al. (1991) show that cumulative
mechanisms appear to drive the change of technological
profiles.
In contrast, the “new trade theory” argues that trade
patterns are largely the consequence of economies of scale in production and
therefore that many markets are imperfectly competitive (Krugman 1990). These are not the standard, static
economies of scale of conventional theory.
Intraindustry trade or subindustry trade is now the rule, owing to the
increasing complexity, specialization, and differentiation of many
products. Economies of scale are
thus a key factor, while even in the biggest industrial economies and at a
global level, many industrial markets have seen their levels of product
differentiation rise in recent years, so that the global economy as a whole is
now characterized by much greater product variety than previously. The new trade theory thus shows that many
broad industrial markets have become more contestable since the end of the
1960s, even in the face of similar factor prices, rapid technology diffusion,
and imperfect competition. Indeed,
in spite of the fact that in many sectors and countries domestic production is
concentrated in fewer hands than before, world market concentration has tended
to fall.
While this explanation is powerful and widely
applicable, it is nonetheless incomplete in certain respects. First, minimal optimal scale economies in
the production of many goods - especially intermediate industrial inputs and
certain design- or fashion-based goods - are believed to be stable or dropping,
owing to the increasing flexibility (programmability in particular) of capital
equipment (Coriat 1990; Gold 1981; Dertouzos et al. 1989). Trade is nonetheless rising in a number
of these markets, as in automobile parts. Second, trade appears to be rising even
in product markets where economies of scale have traditionally been quite low
(most evidently in traditional industries such as clothing and textiles). Third, there is a critical ambiguity with
respect to the significance of economies of scale in small, open economies.
Take the case where a
nation’s
2. There were, and are, some obvious exceptions to this
reasoning. The role of natural
resources remains critical in the energy, nonferrous metals, and possibly the
wood-paper sectors, whereas for the labor-intensive textile filiere, the
availability and price of labor are likely to be determinant for certain
products. In the others, these
classical Ricardian factors have become increasingly
irrelevant.
65
tastes demand large quantities and specific qualities of
a certain good and where that nation’s economy is small and open (e.g.,
In markets not characterized by high barriers to entry,
or in those where barriers to entry are present but export specialization is
stable or increasing, something must make advantage possible in the face of
rapid imitation (catch-up) by potential competitors. Many analysts now suggest that this force
is technological mastery, which gives rise to “absolute advantages.” The latter are different from comparative
advantages in the sense that they reflect productivity gaps between countries or
regions that are so great that they are insensitive to almost any set of changes
in input prices (Dosi, Pavitt, and Soete 1990). Such absolute advantages might be due
either to superior process technology or to product technology. The latter, however, appears particularly
important for increases in product variety over time, i.e., increases in the
range and speed of product innovation such that, at any given moment, certain
centers of scarce skills exist that promote trade even in the presence of easily
attainable minimal scale economies. “Economies of variety over time” means
the ability of a production system to turn out a changing array of outputs in
the general product field in which it is specialized so as to outrun the
catch-up effect from ever more rapid imitation and convergent productivity.
This capability can be accomplished
with or without static economies of scope-variety (i.e., making many products at
the same time).
Any viable explanation of the persistence of trade
specializations through these dynamic economies of product variety over time
must therefore identify the conditions that allow certain industries in certain
places to build up advantages that, over and over again, permit them to turn out
products not easily or rapidly imitated. In other words, in contrast to our
observation above that standardized or generic technologies are increasingly
rapidly diffused in today’s world, other cases experience the powerful
counterforce of “destandardization” and respecialization, redefining the
competitive process in terms of technological advantage rather than mere costs
or scale. “Technology,” in this
context, means the products, processes, capital, and knowledge applied to
productive activity. Technological
advantage exists when the actors in a given place possess products, processes,
and attendant knowledge that permit them to produce better things than other
places, or simply permit them to produce goods and services not elsewhere
available.
What is behind such destandardization-respecialization?
I argue for an endogenous form of
dynamic technological advantage that I call “product-based technological
learning” – PBTL - by which I
66
mean the ability continuously to reinvent,
differentiate, improve, and reconfigure products through a dynamic redeployment
of key, specialized production skills and equipment. “Learning” is a metaphorical term for
activities that generate dynamic economies of variety. Examples include
The existing technological innovation and evolutionary
economics literature is overwhelmingly oriented toward the engineering- and
science-intensive industries, i.e., the high technology sectors and their
principal oligopolistic firms. If
learning-based dynamic economies of variety were limited to these high
technology oligopolists, it would be easy to claim that the contemporary surge
in export specialization is a temporary phenomenon related to the electronics
revolution and its application to other sectors. In this “infant industry” perspective, by
destandardizing knowledge and production processes for a short time,
microelectronics permits a few countries that master state-of-the-art base
technologies and applications to gain world market shares. But it also predicts that the transition
from the postwar mass production economy to a new system will be achieved when
standardization, imitation, and convergence of industrial structures return.
In other words, learning is a
one-time advantage for the first movers in the microelectronics age. This view converges nicely with standard
comparative advantage theory, of course, since advantage in the form of
imperfect competition is now just a temporary deviation from the course of
perfect competition. The problem
with this view is that world trade is rising even in traditional industries
where the application of microelectronics does not, strictly speaking,
revolutionize production (see Lafay and Herzog 1989, 62). Trade is rising across a remarkable
variety of industries, and it is declining (in terms of share of world trade)
only in the non-energy resource and agricultural sectors and the most
traditional raw materials processing sectors, such as
steel.
Leontief (1953) prefigured contemporary developments by
identifying the paradox of “contrary factor intensities,” such that rich
countries were specialized in labor-intensive products and poor countries in
capital-intensive outputs. He
concluded that skill- and knowledge-intensity was a principal determinant of
output and trade patterns.
Neither Leontief nor
66
a few major firms as it was when Leontief and Vernon
wrote, when technological advantage, once achieved, was effectively embedded in
internal economies of scale and stabilized for a certain period of time. Skill- and knowledge-based competition is
now more dependent than before on resources that lie outside major firms (and
hence are not fully appropriable by them). Partly as a result of the latter, such
competition now takes a different temporal form than it did 30 years ago;
instead of being intermittent and creating medium-term advantages, it has become
more continuous, with much briefer temporal advantages. The reduction of temporal advantages is
not now due only to rapid imitation, in other words, but to real skill- and
knowledge-based competition. The
evidence is thus consistent with the view that we have entered a period in the
development of capitalism in which trade and specialization are not enjoying
temporary surges, but are outcomes of the technological dynamism of
specializers, which has become a broad, endogenous characteristic of the logic
of best practice. Indeed, the
contemporary microelectronics revolution, rather than destandardizing a fixed
array of outputs for only a brief time, appears to have made possible a
continual and ongoing respecialization and redefinition of outputs. This ongoing differentiation of products
has the effect of unsettling the division of labor on an ongoing basis, much in
the way described by Young’s (1928) seminal discussion. Hence, the respecialization effect dwarfs
the catch-up effect associated with standardization of products, leading to what
Freeman (1991, 37) suspects might be “a permanent shift in industrial structure
and behavior.”
Developmental Effects: PBTL versus the
Rest
Of course, PBTL is not the only form technological
change can assume; as evolutionary macromodels of technical change have shown,
rapidly changing average production or product technologies may be due to
imitation or selection, as well as innovation (Dosi et al. 1988; Webber,
Sheppard, and Rigby 1991). But the
trade and market share advantages enjoyed by more rapid imitators are likely to
be shorter lived than those of producers engaging in PBTL because, by
definition, imitators are subject to rapid competition from elsewhere, i.e., to
a catch-up process already in motion.
Moreover, the developmental consequences of imitation,
while important to maintaining shares of trade and employment by raising average
productivity to world standards, are quite different from the developmental
potentials associated with PBTL. In
the case of imitation without significant scale effects, competition must
necessarily be cost-price based, such that the pace of capital accumulation is
limited. Where this is achieved
through technology-intensiveness, capital requirements will be high and
employment effects limited; where it is achieved through the use of cheap
factors of production, especially labor, wages will be limited. In the case of imitation with significant
scale effects, capital requirements are also necessarily high, and employment
creation effects must be limited; moreover, technological catch-up makes it
probable that advantages will be short-lived unless large quantities of capital
are pumped into the production system to outrun imitators.
The PBTL system’s products, by contrast, tend to earn
supernormal returns (quasi-rents). The PBTL-based specialized exporter, in
other words, creates the de facto definition of world “best practice” by
inventing or perfecting products. There is a powerful motivation to engage
in PBTL, for not only does it offer the possibility of export-led growth, but
the qualities of that growth are more attractive than for the other two cases.
Quasi-rents (from a high price-cost
margin) can be distributed in the form not only of high returns to capital and
further physical capital accumulation through reinvestment, but also in the form
of high-wage jobs in the labor markets where technologically
dynamic
67
industries are present. Every major industrial country will
necessarily have some export specializations for each of these three reasons.
The aggregate developmental
outcomes of export specialization thus depend on the particular mix for each
nation. All other things being
equal, however, the wage- and capital-accumulation effects of PBTL-based exports
are more attractive than those of cost- or scale-based
exports.
Table 2:
Top Fifty
Table 3:
Top Fifty Italian
Industries Ranked in Terms of World Export Share, 1985
Table 4:
Top Fifty French
Industries Ranked in Terms of World Export Share, 1985
Table 5A:
The Roots of
Export Specialization: PBTL vs. the Rest,
Table 5B:
The Roots of
Export Specialization: Learning/Economics of Variety vs. the Rest,
Table 5C:
The Roots of
Export Specialization: Learning/Economics of Variety vs. the Rest,
France
Table 5D:
Totals for Three
Countries
Table 6:
The Degree of
Country Specialization in HTO, DIC, and PMM Industries,
1985
Table 7:
Technological
Districts in the