The theoretical link between trade and productivity.
Burinskiene, A.
1. Introduction
International trade became increasingly important for studies in
the post-war period. The variety of trends has been noticed, such as
decreases of transportation and communications costs, the developments
in computer technology which are used to minimise costs of production
also the share of trade in GDP has increased in all countries, and the
growth rate of international trade (the sum of both exports and imports)
has grown much faster than growth rate of world GDP (the sum of GDPs in
all countries) in general. In addition, trade volumes increased also due
to new products that were not traded before or not existed.
Due to this, there is the growing number of empiric researches
where authors seek to analyse and measure links between trade volumes
and productivity.
The study is organised as follows: in first part of the study
theoretical link mentioned in different theories is analysed, later on
the productivity measures are overviewed in the paper, and finally the
effects of trade liberalisation are shortly presented. In first part,
old and new trade theories, and the theory of economic growth are used
for trade-productivity link analysis. There are also causal chains to
analyse trade-productivity macro and micro linkages. Some of them are
overviewed in the paper. In the second part, deeper understanding of
productivity and its measurement is provided: productivity definition,
different approaches to productivity measurement are presented. In the
third part, the effects that are delivered before and after trade
liberalisation are shortly discussed. Also the microeconomic link
between trade liberalisation and firm's productivity and short-run
relative advantages, brought by trade liberalisation to multinational
enterprises (rather than to domestic enterprises) are introduced. The
study is based on historical method and comparative analysis.
2. The theoretical link between trade and productivity
The idea that trade stimulates growth is known for a long time. The
Ricardian model of international trade is useful tool only for thinking
about the effect of international trade to national welfare. In
Ricardian model labour is treated as the single factor of production and
the only difference is labour productivity, which varies between
industries and countries. The simple model eliminates the role of
economies of scale, the difference concerning resources, takes into
account an extreme degree of specialisation and permanent gains from
trade for a country as a whole. Some of these predictions are even
unrealistic, the number of authors have proved the basic prediction
saying that countries seek to export products, for which relatively high
productivity is reached (Krugman & Obstfeld, 2003).
In the real world, comparative advantage can be reached due to
differences in countries' resources. For example, Canada exports
forest products to USA not because relatively higher productivity, but
because of higher rate of forested land per capita in Canada than in
USA. This means that talking about international trade also other
factors of production such as land, capital, and mineral resources have
to be taken into account. Actually Heckscher-Ohlin (Ho) model explains
the role of differences of resource in trade. This model shows that
countries are willing to export products, which are intensive in factors
that have a large supply relative to other resources. The open economy
HO model assumes that multiple factors can easily move between sectors,
also it predicts that, under certain conditions, the prices of factors
become equal across countries with different aggregate labour
productivity (Dollar & Wolff, 1988). So, this means that HO model
can help to understand only some trends in world trade history (not all
of them). Thinking about trade, which influence factor prices, such
ideas have to be true. The forces created by trade have to change the
prices of domestic commodity, induce the movement of resources between
sectors (O'Rourke & Williamson, 1999).
Different theories of economic growth have been presented by
various theorists. In these studies the diversity in growth rates between countries have been found as cause to different rates of
increase in productivity per unit of factor input. By using Nishimizu
and Robinson model, some authors explained, that growth rates associated
with demand side, due to such changes: the growth of domestic market
growth, import substitution, and export expansion (Tybout, 1991).
Two models have been suggested by economists. Import-substitution
model, which required government provided tariff and quota protections,
due to economic troubles in 1970s it were replaced by export-led growth
model. The last model became more popular model, that International
Monetary Fund recommends it to member countries. Export may in fact
exert dual influence on the level of output (due to source of demand)
and create room for higher import volumes. Following Kaldor (1966)
definition, the long period level of output as one and the same thing
with the level of output (production) ensuring equality between import
and export volumes. The observed studies dedicated to productivity and
export growth suggest a direct link between these just mentioned
variables. The export-led growth model, presented in the literature of
applied growth theory, justifies the hypothesis that export causes the
productivity growth. Some explanations about this causal link are given.
First, export is seen as the concentration of investments into
the most efficient sectors of economy, mainly, those which have
comparative advantage. Strong specialisation in such sectors cause the
increase of productivity and product qualities. The next explanation is
dedicated to economies of scale. The growth in export allows entities to
gain from economies of scale due to size of foreign market, which is
much bigger than domestic market alone. In general, this happens due to
large scale of operations comparing with previous ones. The third
explanation is directed to technological change. An extra competition on
export sectors increase the need to keep costs low and to introduce
technological change, which improves productivity. Differences in
technological levels are important explaining differences in
productivity. In general, technological differences mean the performance
differences for exporting sectors. The last explanation is dedicated to
the effect of export on other sectors. The growth of export stimulates
economy as the whole via externalities of exports to other domestic
sectors. So, this suggests export promoting policy (Kunst & Marin,
1989).
The positive link between export growth and productivity growth
suggest two causal hypotheses. The first one rely on idea that
productivity is mainly induced by demand perspectives associated with
export growth. The studies show the rapid growth of productivity growth
in countries where labour productivity was initially low. The study of
Dollar and Wolff (1988) proves this. And the second one considers that
productivity as element is used to determine the rate of export growth.
The positive relation between the growth of output and productivity
from time to time is used to analyse rapid investments and the scale of
economies. According to Verdoorn's Law, the faster growth of output
increases productivity via increasing returns. Verdoorn (1993) argues
that "in the long run a change in the volume of production, say
about 10 per cent, tends to be associated with an average increase in
labour productivity of 4.5 per cent." Verdoorn's ideas differs
from typical ones, which are met between the neoclassical models of
growth. The main hypothesis "that the growth of productivity is
mainly to be explained by the progress of knowledge in science and
technology" (Kaldor, 1966) is used in neoclassical models of growth
(for example, in Solow model). Verdoorn's law is usually associated
with the cumulative causation models of growth, in which demand is used
as an element more often. Kaldor (1966) and Thirlwall (1979) developed
models based on Verdoorn's ideas. For a given country an expansion
of the export sector may cause specialisation in the production of
export products, which increases the levels of productivity and skills
in the export sector. This may then lead to the reallocation of
resources from the less efficient non-trade sector to the more
productive export sector, bring lower prices for traded goods and higher
competitiveness. This change of productivity may then lead to the
expansion of exports and the growth of output.
Formal models that relate trade with technological change are
presented by authors. For example, authors present framework, in which
entities are catching-up international productivity levels. Rodrik
(1988) presented model where positive relation between the rate of
catch-up and entity's market share is found-out. Findlay (1978)
developed model, which includes technology transfer between advanced
country and low-technology country. The model is based on single
idea--that new technologies are diffusing, because old machines are
anyway depreciating. Authors mention that technology and trade are
interlinked. Feenstra (1998) and Jones (2000) developed a theory which
has a strong relation with Stolper-Samuelson ideas. Large entities are
able to fragment their operations by improving communication. This helps
them to transfer unskilled-labour-intensive operations to another
countries, in which wages for unskilled labour are low.
Emphasizing the role of international trade, some recent studies,
have analysed channels through which productivity levels of different
countries are interrelated (Coe et al., 1997; Coe & Helpman, 1995;
Keller, 1998). It is stated in theory that there are various channels,
by which technology can be transmitted across countries. one channel is
related with the diffusion of technology. Technology is embodied in
capital and intermediate goods so the direct import of these goods is
one channel of transmission. This channel effects long-run TFP (total
factor productivity) growth. These countries, which have faster growth
in TFP, import more from the world's technology leaders. one note
about EU new states members to be added. The new members are very
different from the old ones. The new member regions are catching up
technology standards of western Europe, they are dynamic with fast
rising incomes, employment and changes in productivity (Baldwin &
Wyplosz, 2009). The macroeconomic link can be established between newly
transferred technologies on output (and productivity) through imports of
machinery or equipment (Teixeira & Fortuna, 2006).
Until the 1980 old trade theory adopted different modelling
approaches related to comparative advantage. In new trade models that
are developed for perfect competition environment, the allocation of
factors across sectors is proved. In new trade theory the impact from
re-allocating resources according to comparative advantage is also taken
into account.
Later on new trade theory incorporated imperfect competition and
increasing returns (Baldwin, 2005). Imperfect competition is always
given. As entities are facing with competitors, located in different
markets. Seeking to avoid local competitors, company establishes
branches across geographic markets.
The new trade theory and literature about geography and trade
deepened the understanding of trade. In this theory is evident that
trade and gains from it can arise due to any pattern of comparative
advantage: as entities gain from economies of scale and apply the
strategies of product differentiation in an imperfect competition
environment. In the models, the entity is independent plan that produces
one product in single location. Multi-product and multi-branch
production is not included in analysis (Markusen, 1995). Taking into
account John Nash's idea is that it is difficult to predict the
result of the choices of multiple decision makers if their decisions are
analysed in isolation. Each entity chooses a quantity to produce without
knowing what quantity competitors will produce. Instead of thinking in
isolation, for each player it is suggested take into account the
reaction of others.
Alcala and Ciccone (2004) find-out that international trade has
positive effect on productivity. The effect found is statistically
robust and economically significant (Alcala and Ciccone, 2004). Other
authors in their studies examined the role of institutions and
geography, which is important for estimating productivity gains. From
the point of view of economic geography, this presents the increase of
national specialisation.
At the micro level, there can be three possible linkages between
trade and productivity. First linkage between firms is vertical--the
access to foreign intermediates can raise productivity because they have
better quality products. Second, there are two horizontal linkage
between firms. Both comes due to competition in final-goods market.
First-one means that foreign competition can raise the productivity of
domestic producers. Second-one--that foreign competition can force to
exit the least productive domestic entities from the market (Augier et
al., 2009). Authors Kox and Rojas-Romagosa (2010) analysed only those
companies that started export during the years 1999-2005 and compared
their productivity indicators with similar companies, which are not
exporting. These export starters were not between exporting firms two
years before they started export. The authors examined the changes in
their each year labour productivity after they started export. No
empirical support was found for this hypothesis in three years period.
The authors found significant and positive learning effect on labour
productivity after three years from export start in both types of
companies, specialising in manufacturing and services. It is possible
that companies in first three years are absorbing the extra export trade
costs and "learning-by-exporting" effect is realized later on.
The authors also found interesting insight that
"learning-by-exporting" is linked with distance to
technological frontier.
The comparison of productivity indicates that multinational
enterprises (MNEs) are more productive than companies that are created
only for export. Statistics shows that about two-third of MNEs are
active in exports. Also that exporting companies are more productive
than non exporting firms. In manufacturing labour productivity
correlates with profitability and is higher than in companies providing
services.
Authors Kox and Rojas-Romagosa (2010) analysed such groups of
companies: (1) local companies with only domestic sales, (2) export
companies without multinational affiliation, (3) affiliates of foreign
MNEs but without exports, and (4) exporting companies with foreign
multinational affiliation.
The first comparison of sole labour productivity indicates that
MNEs are more productive than other exporting companies, in both sectors
(manufacturing and services). In addition, labour productivity
(value-added per worker) of manufacturing exporters raises with
internationalisation increase. The productivity of services exporters is
also become higher, but less than for producing enterprises. Sales per
worker as the labour productivity indicator is relevant only for
manufacturing enterprises, but not for companies in services (where
domestic companies are more productive). The authors found that
exporting companies (affiliate of multinational enterprise (MNE) or not)
are more productive than non exporting ones. Only differences in average
wages and gross profits per worker exists. MNEs tend to pay bigger wages
and have higher profits than non multinational ones. Independently
company belongs to MNE or not, exporters give bigger wages and earn
higher profits. This means that being a part of MNE is a good factor
that helps to predict orientation to export.
Exporters used to have higher productivity (than non exporting
companies) allowing them to cover entry into foreign market costs. The
size of company is also good indicator for starting exporter, which
indicates that economies of scale are important. Authors Kox and
Rojas-Romagosa (2010) thought that exporter premia is more important for
small companies than for large ones, because entry to foreign market
costs are relatively higher for smaller enterprises. But exporter
productivity premia is found only for companies where number of
employees is higher than 250. This means that exporter productivity
premia is related to economies of scale, which required seeking to cover
entry into foreign markets costs. Exporting companies have also
statistical and positive performance premia, which is delivered with
labour productivity. For MNEs, specialising in production, premium is
discovered mainly in mother companies and is less well captured in their
affiliates. Statistics also show that nine out of ten exporting
companies have multinational affiliation, which is common between
manufacturing enterprises than enterprises specialising in services (Kox
& Rojas-Romagosa, 2010).
Concerning market structure, interesting results are reached by
authors Kox and Rojas-Romagosa (2010). They discovered that exporter
productivity premia is lower for companies with higher product
differentiation. Authors tested export-productivity link analysing the
number of product markets. They researched the services sectors and
found that sectors, which are working in high competition environment,
and have lower product differentiation, have higher export productivity
premia than sectors, which are working in less competition environment.
Such differences are not discovered in manufacturing sectors only.
The analysis of different theories shows that there are many
potential links between trade and productivity.
3. Productivity concept and measures
Productivity has become a word that everyone uses it, but for
different purposes. The meaning ranges from efficiency to effectiveness,
to rates of turnover, to measure of customer satisfaction, changes in
workflow (oyeranti, 2000). Several definitions of productivity may be
useful here. In general, productivity--the term that refers to output
per unit of input. In the context it may mean partial productivity
(labour productivity, capital productivity or energy productivity, which
is output per labour-hour, capital-hour or energy-hour respectively),
also to multifactor productivity or total factor productivity (TFP),
which adjusts labour productivity due to differences in capital and
other inputs (such as energy, raw materials, etc.). Depends on the
situation, which term is used. For example, OECD more often use
multi-factor productivity than TFP seeking to mention that not all
inputs are included in term "multi-factor productivity".
Actually because of the different goals of different institutions and
organisations different definitions of productivity are used (Oyeranti,
2000). In business, the change in productivity may lead to greater
customers' satisfaction, improved cash flows, return on assets (ROA) and higher profit. As mentioned in economic theory, increased
profits will be translated to capacity extension and creation of new job
places (the reduction of unemployment). Enhanced productivity correlates
with competitiveness of business and country in both domestic and
foreign markets. If the higher costs of production are passed on, in
order not to lose sales, the economy's industries will be oriented to the lower cost suppliers. Alternatively, if the higher costs of
production are reached in internationalized industries, their profit
will decrease (Oyeranti, 2000).
At national level labour productivity is translated to human
productivity. The labour productivity is the measure of end result of
complex process involving research and development, training,
technology, other related factors (Oyeranti, 2000). And the human
productivity is the measure that represents the working population and
affects the purchasing power of population. As Krugman (1990) mentioned
"productivity isn't everything, but in the long run it is
almost everything". But still some misunderstandings exist talking
about productivity. Usage of labour productivity by statistics is
essential, as labour productivity usually defined as value added per
full-time worker. Productivity is not just the measure, it needs to take
into account other inputs used in production process. Increase in output
doesn't always mean changes in productivity, as it has to be
analysed together with trend of input costs. If input costs are constant
than growth in productivity exists. There are three reasons why labour
input is usually used for measuring partial productivity. Such as:
* labour is the most important factor of production;
* labour is the most easily quantified factor;
* the contribution of labour to output is constantly controlled
(Oyeranti, 2000).
The next confusion exists between productivity and profitability,
as it is defined as gross value added minus wages and minus
depreciation. Increase in productivity doesn't mean improvement in
profit. Profitability increases with price changes, even when the same
time productivity decreases. The last confusion exists believing that
costs cutting improves productivity. Usually in long run productivity
declines. Both productivity and economic growth are important for
economic progress, as it requires development in early stages and later
stages, when production apparatus of domestic market is equipped. At
national level, constant growth in productivity guarantees
non-inflationary processes: increase in wages, solving the problems of
unemployment, trade deficit and currency exchange rate (Oyeranti, 2000).
What means productivity is easy to understand, but a quantitative
relationship between output and input is difficult to measure (Hall,
2011). The goal of productivity measurement is productivity improvement.
In general, productivity can be measured in the context of single
enterprise, industry or economy as whole. Concerning production,
economic or political system, the relationship between the quantity of
goods or services produced, changes in their quality and the quantity of
resources used to produce them is measured (Prokopenko, 1987). So, this
suggest to measure the ratio of the quantity and quality of products and
resources engaged (Oyeranti, 2000). one of such measures are indexes
estimated at three important levels. These are static, dynamic and
surrogate levels. Static productivity ratios are linked to what occurred
in a period. Dynamic productivity ratio is used to monitor changes in
productivity. Two static ratios are compared for the index: the ratio of
current period is compared with ratio of base period. Surrogate index is
used to measure output that is difficult to measure or to collect data
such as customer satisfaction, effectiveness, quality, etc. Aggarwal
(1981) delivered the idea that satisfaction of employees, customers and
suppliers can be measured through surrogate measures. For example,
customer satisfaction can be measured by dividing total sales revenue
with total number of customers. In addition, for estimating productivity
change distance function can be used. Caves, Christensen, and Diewert
(1982) developed Malmquist output and input indices. The output (or
input) oriented index is based on an output or input distance function
accordingly and reflects the changes in maximum output (or minimum input
requirements) for given inputs (outputs). The geometric mean of two
Malmquist output (input) indices can be used for the construction of
Tornqvist output (input) index (Atkinson et al., 2003).
The approach to productivity begins from neoclassical production
function. Where output is a function of inputs and time. The two most
important measures of production are labour and capital. Capital is
invested into the set of tool used by workers. Labour is measured b time
spent by persons at work. Production function is used to measure maximum
output possible from specified inputs. If any company invents better way
to produce products (goods and services), the output will be higher from
the same amount of inputs. More complicated measure can be used for
technological change. In more involved applications labour, capital, and
intermediates and their changes in quality are analysed. For example,
Tornqvist index can be used for such analysis. A Tornqvist index
summarizes labour input connected to the growth rate of the hours of
each group of workers by the share of labour compensation they receive
due to change.
Total factor productivity (TFP) has a critical role on economic
growth, economic fluctuations, and income per capita differences. Solow
(1956) demonstrated that cross-country differences in technology may
generate cross-country differences in income per capita. Understanding
the determinants for the adoption of technology is important explaining
differences in TFP. On one side, these differences in TFP may be due to
different technologies used in countries or the way, in which these
technologies, are used. on another side, the quantity and type of
resources used in production process and their utilisation also matters.
on the third side, authors are also linking the implementation of
technologies with market specifics, financial conditions, the role of
institutions and policies (Comin, 2006).
Antle and Capalbo (1988) identified two main approaches used for
TFP measurement: index number approach, econometric approach, and
traditional approach. With the marginal productivity theory, growth of
output decomposes into growth of labour, capital, land, knowledge and
other sources. To measure output growth the weighted sum of all inputs
is used. Laspeyres indexing procedure is known as a
"base-weighted" or "fixed-weighted", which imply a
linear production functions, in which all inputs are perfect substitutes
in production process. In addition, Cobb-Douglas function may be used to
represent the relationship of output and two inputs. The only limitation
of index number approach to include effects of economies of scale,
technology change and inputs substitution. The econometric approach to
productivity measurement is estimation of production function or dual
cost or profit function seeking to establish direct linkages of
productivity growth between key characteristics. Traditional approach to
productivity measure is used seeking to observe the best practice output
(frontier output). It uses frontier framework for that. Malmquist
productivity index is good example of this last approach (oyeranti,
2000).
Productivity as a source of growth used in analyses of growth of
economy in last years. The focus is the growth of labour, capital and
other resources (Ahluwalia, 1991). Two main sources, used to estimate
economic growth in output, is the increase in factors of production
(labour and capital devoted to production) and productivity gains that
enable an economy to produce more by using the same amount of inputs
(Baldwin et al., 2001). Possible linkages between productivity growth
and trade regime is often analysed through TFP growth. This means that
labour, capital, and materials and their changes in quality are analysed
and aggregated using the measure of total factor productivity index. The
only problem that in practice, both measurements of outputs and inputs
involve aggregation problem. For example, the question of how to
aggregate different products that don't have constant quality or
characteristics. The problem remains seeking to aggregate the different
types of inputs into one input measurement. That's why partial
productivity measures have advantage because of their simplicity,
flexibility and data availability.
Looking back to the issue of productivity growth, it has to be
mentioned that TFP growth rates correlate with fluctuations in output.
TFP strongly correlates with output and input when business cycle
appears, because business decisions to innovate have significant
implications for the business cycle (Comin, 2006). Some remarks are
given for these studies. It is more easy to find association between
rapid output and rapid export growth. Some cross-country studies also
conclude positive correlation between productivity and export growth. In
addition, there are single-country studies, which examine correlation
between TFP growth within country and the openness of trade, and
multi-country studies, which study industry level TFP indices. Many
single-country and multi-country CGE (computational general equilibrium)
models incorporate causal chains for analysing trade-productivity link
(Robinson et al., 2006).
Some authors have analysed the effect of location on productivity,
which varies among rural and urban areas. The location factor is
different within industries, among industries and it changes over time,
as size of distribution changes as well. Entry and exit patterns,
foreign competition can affect the distribution of branches, economies
of scale. These also affect industry-level productivity. Keeping these
links, relation between trade regimes and the size branch distribution
can be examined. Tybout (1991) mentioned that larger branches usually
are exporters. Authors suggested many models of trade, which include
imperfect competition and the size of branch distribution. Empirical
researches show that bigger adjustments in distribution occurs due to
the entries or exits of firm in market. Also results shows that open
economy leads to new gains through the reaching branch-level scale
economies (Tybout, 1991). Foreign competition forces branches, which are
below the efficient scale, to exit; foreign competition improves the
usage of new technologies (the increase of technology acceptance is seen
between industries). Some studies have included also the maturity of
branch for the choice of technology, but still very little has been
done.
In addition, some authors, such as Irwin and Tervio (2002),
Rodriguez and Rodrik (2001), Rodrik (2000) argue that trade is not the
significant determinant of productivity when geography factors and the
estimates of institutional quality are included in empirical analysis
(Alcala & Cissone, 2004).
Productivity has great importance in economic analysis. For
example, productivity trend combined with other trends (population and
output trends) is used in economic growth models to forecast changes.
Usually it is used to forecast output, as well as the distribution of
resources between different sectors of economy or industry. Actually,
productivity is used for analyzing the relative dynamism of different
economic activities. Also, the interest in productivity is related with
ability to know the process of technical change. This means that
economic growth, productivity, and technical change are closely related.
The only obstacle to measure the growth of productivity more precisely
is aggregation of production factors; scientists have been dealing with
problem for more than 30 years.
4. The effects before and after trade liberalisation
The definition about trade liberalisation might be useful before
starting analysis. Trade liberalisation--the term used to describe
process when country opens its market to international trade by reducing
taxes (talking about tariffs) and other limits (non tariff barriers) for
incoming and outcoming products.
Before the early 19th century, when industrial and transport
revolution happened, Adam Smith raised ideas of free market economies
which are more productive and beneficial to nations. Trade, in Adam
Smith period, was strictly limited to what we can call non-competing
goods: Europe and Asia imported products which were not found in these
continents at all. Initially, only products, which had very high value,
were shipped, such as silk, linens and woolens, sugar, exotic spices,
silver and gold. The 19th century is the classic Heckscher-Ohlin (HO)
era, when transport costs declined. Unprecedented levels of labour and
capital transfers happened in late 19th century: 60 million of Europeans
were moving over Atlant ocean. Moreover, the exchange of agricultural
products and manufactured goods between Europe and North Atlantic
improved, but land was a crucial factor for agriculture in New World not
labour and capital. The trade flows between other continents improved
when shipping and port technologies developed, and the number of
international conflicts reduced. The range of goods traded dramatically
extended over time due to changes in trade regimes.
Old trade theory, based on theoretical Heckscher-Ohlin-Samuelson
and Viner-Meade frameworks, provided a strong set of tools for analyzing
issues arising not only from the formation of free trade agreements, but
also from trade liberalization (Robinson et al., 2006). The main
problem, which rises, that these models can't accommodate two-way
trade. An alternative focus regarding two-way trade is taken by
constructing trade-focused CGE models. In these models domestic and
imported products (which belong to the same commodity classification)
are treated as imperfect substitutes (in demand) and the elasticity of
substitution (CES) is included and the price ratio of imported and
domestically produced commodities is analysed.
The standard trade-focused CGE (computable general equilibrium)
model was developed in the late 1970 and had some limitations in
capturing historical trends and important effects that are recognized as
empirically important. The main effect of liberalisation is the effect
the volume of inputs needed to produce the given volume of outputs
(Tybout, 1991). World trade organisation (WTO) studied situation before
and after trade liberalisation and figured out that exports (especially
manufacturing export volumes), investments are growing up after trade
liberalisation (Salinas & Aksay, 2006). The opening of domestic
market to external markets ensures the better allocation of resources and promotes the orientation of investments to potential exporting
sectors, which previously traded in domestic markets mainly.
In the early papers of Bernard, Eaton, Jensen and Kortum (2003) and
Melitz (2003) authors focus on productivity effects of trade
liberalisation. Before discussing these results, small study on
questions that arise with trade liberalisation is provided below.
The author studies small-versus-big firm arrangements. To keep
presentation simple the author assumes that there are two firms
(entities)--one large, one small in EU. The supply curve of large entity
is reflecting the larger company's greater efficiency. As supply
curve shows marginal costs, the smaller supply curve means that the
larger entity has smaller marginal costs for different output level. In
case of smaller entity supply curve will be higher, so a given world
price will enable to operate for large entity only. Small entity will
have to finish production since the world price will be lower its
marginal costs even in case, when small quantity is produced by entity.
If the price floor is added then both entities produce output. The total
output will be the sum of two outputs: small and big outputs, where
small output is delivered by small entity and big one--by the large
entity.
on the other hand, the surplus generated by producers is
distributed accordingly: small surplus is earned by small (high cost and
low technology) entity and the large one--by large (low cost and modern
technology) entity. Due to this, large entity tends to be richer and
supports trade liberalisation, while small entity doesn't support
it. In such case, the introduction of policy for small entities is
suggested.
The microeconomic link between trade liberalisation and firm's
productivity are modelled by Bernard, Eaton, Jensen and Kortum (2003),
Eaton and Kortum (2002). Rodrik (1988) suggested the framework, in which
entities are catching up international productivity levels based on
their market share. The positive relation between these two variables is
find-out by the author (Rodrik, 1988). For some of such studies
Herfindahl index (concentration ratio) to measure market share of large
entities is used. In addition, talking about international productivity
levels, Rodrik (1988) argues that domestic producers choose the way to
compete with new competitors via the choice of technique. They are
protecting foreign competition by failing to modernize old branches. And
this helps them to have lower output prices.
Bernard, Redding and Schott (2006) analyse multi-product firms and
analyzes their behavior during trade liberalization. He mentioned that
higher firm-level ability raises entity's productivity across all
products. After trade liberalisation, exporters, which produced the
smaller range of products before it, increase the range of products sold
abroad and export volumes for each product.
Trade liberalisation also change allocation of production branches.
MNEs will increase the scale of production for each product. In order
not to duplicate fixed costs, these entities will not produce the same
product in several countries after the economies of these countries
become integrated. MNEs will specialize the production in each branch.
With new economic opportunity that is delivered after trade is
liberalized--export to foreign country become possible. Two basic
effects are seen. once, the trade is liberalized, MNEs find the capacity
bigger than domestic enterprises. Second, MNE face smaller entry costs
into foreign market--smaller information costs and costs for
establishing distribution and service network, introducing brand name
and confirming the products with foreign market regulations. on the
other hand, the fixed costs for entering into foreign market may prevent
domestic entities to enter it. So, MNE has relative advantage in
short-term. In long-term new entities could enter both markets, where
affiliates of MNE are present. Also MNE can easily buy foreign
counterpart and distribute technology faster than domestic enterprises
may do (Hallak, 2000).
As it is worth to have competitive advantage for each nation, each
of them will have some products that are relatively expensive and some
products that are relatively cheap. This effect of comparative advantage
is known as Heckscher-Ohlin (HO) comparative advantages' effect
(Baldwin & Wyplosz, 2009). Of course, trade liberalisation in Europe
allowing for many nations (not only for two ones) to specialize in
producing goods that are relatively cheap and importing goods that are
relatively expensive. So, this means that the liberalisation of trade
brings welfare only if entities in the country are well prepared to face
foreign competition, because extra competition can force entities to
expand or exit. Instead the loss of productivity, the country gains from
trade (Helpman & Krugman, 1987). One reason for that is enlarged
country's consumption possibilities opening also new chance for
productivity increase. But none of delivered frameworks, presented by
Baldwin (1989), Dixit (1989), describes why trade regime affects long
run growth in productivity. Trade regime affects the rate of
productivity growth due to these reasons. First, thinking about new
products, the variety of available substitutes is considered. Second,
there is demand, which is higher in larger markets for any variety of
products. These effects are contrasting ones. In addition, the
development and production of new products, requires new inputs of
capital and labour. This means that imported capital equipment may need
implementation of advanced technologies at which one enterprises are
better than other ones (Augier et al., 2009).
If both entities (home and foreign) have the same marginal cost, no
one would export, because there will not be possible for exporter to
earn some profit. So, this means that all identical entities will lose
and will be against trade liberalisation.
The classic implementation on liberalisation starts from lowering
marginal trade costs, but leaving many of other trade barriers, which
are subject to regulation and standards, which makes difficulties to
introduce into market products, which are produced in foreign country.
These are called technical barriers to trade (TBTs). Some of them are
remaining among Japan, Canada, US and EU. In Western Europe classic
trade barriers are eliminated in 1975, TBTs during the last decades.
TBTs are liberalised in such main ways. The first way, when two or more
nations adopt common standards. For example, EU and US set standards and
other nations follow them. The second way, the nations recognise the
standards of each other and sign mutual recognition agreement (MRA). For
example, in 1998 EU and US have signed MRA to certify the compliance of
products (Baldwin & Forslid, 2004).
Productivity is the crucial performance variable in the
heterogeneous-companies trade models (Melitz, 2003; Baldwin, 2005).
Exporters need to have higher productivity (than non exporting
companies) seeking to absorb the fixed costs or sunk entry costs
(one-time entry costs that can't be returned back) met in the
foreign market. Helpman, Melitz and Yeaple (2004) in their study
indicate that sunk entry costs are stronger for companies in services
than for production companies.
Authors Kox and Rojas-Romagosa (2010) analysed productivity premia
and they predicted that productivity premia exists for exporting and
MNEs. And if they exist, whether such effects can possibly be explained
assuming various company-specific, industry-specific and market-specific
factors.
Both effects: reallocation effect of output at different branches
and productivity growth effect at individual branches are the main
sources of productivity growth at industry level. These effects can be
explained only together. Authors Navas-Ruiz and Sala (2007) added into
their model the possibility for companies to adopt more costly
productive technologies and showed that production branch productivity
increases in response to lower trade costs. Following trade
liberalization, the selection of export increases the market share only
for some exporting companies. Therefore, the greater scale of operations
increases exporters return from costly productivity related investments,
since trade liberalization entails a larger access to product markets
and a higher demand for company's product increases production
capacity of domestic exporters, also returns from technology adoption.
In addition this leads exporters to implement more innovative
technologies (Navas-Ruiz & Sala, 2007).
Four effects which imply the gains from trade liberalization. Two
effects tend to lower welfare while the others tend to raise it. The
first effect is Melitz anti-variety effect (the number of varieties
consumed drops), the second--the Melitz productivity effect, the
third--MacDonalisation effect, and the fourth one is share-shifting
effect (Baldwin & Forslid, 2004). First, Melitz variety effect is
contrasting with Krugman variety effect, as in Krugman model the freer
trade double increase the number of varieties, which become available to
consumers. Second, Melitz (2003) showed that liberalisation affect
strongly the average productivity. He presented the strong impact of
trade liberalisation on average productivity of industry (Baldwin &
Forslid, 2004). Third, freer trade increase share of imported varieties
in consumer baskets, because imported varieties will be cheaper and this
improves the choice of individuals. Fourth, share-shift analysis is
applied for international trade. Share-shift is used for the analysis of
the growth of exports by splitting it into four separate components. The
first one is global component, which indicate changes due to overall
growth of world trade; the second one--geographical component, which
indicates changes in the distribution of country's trading
partners; the third one--product composition component, which indicates
the growth due to the mix of products exported, and the last
one--performance indicator, which indicates changes in competitiveness.
The first three components are used to predict expected proportional
changes in trade and the fourth one--to eastimate shifts between
expected proportional changes (Piezas Jerbi & Nee, 2009).
Melitz (2003) shows impact of liberalisation on average
productivity of industry via:
selection effect and production reallocation (from the least to the
most efficient firms) effect. It seems that exporters need to have
higher productivity than non exporting companies as they have to cover
entry costs into foreign market seeking to become exporters. Static
productivity premia is analysed by using the data, which covers
long-time exporters, new exporters and non exporting companies. The
authors Kox & Rojas-Romagosa (2010) did some tests with new
exporters (export starters) and non exporting companies. Authors were
searching for positive productivity premia before start of export on the
basis of their performance in domestic markets. They discovered that
labour productivity and profitability for production company in year i-3
is a good indicator to start export in year i. A marginal increase in
labour productivity before 3 years stimulates the positive export
decision and later on the export is started. The indicators are
strongest in production companies, for companies in services indicators
indicate export start 2 years before the start. The small number of
export starters have significant and positive productivity results in
year i-2 (2 years before) before actual start (Kox & Rojas-Romagosa,
2010).
Exporting companies are more productive and theoretically are
bigger (talking about sales, number of employees, generated value-added,
capital), and paying higher wages than non exporting firms. Two
hypotheses have been formulated to research export productivity premia.
This hypothesis can be named "learning-by-exporting"
hypothesis, which tells that companies become more productive after they
begin to export. The second hypothesis tells that the most productive
companies, which can overcome trade costs (entry costs into foreign
market) and become exporters (Kox & Rojas-Romagosa, 2010). Exporting
(high-productivity) companies expand and non exporting
(low-productivity) companies exit the market. The first tests authors
Kox and Rojas-Romagosa (2010) did seeking to find productivity premia
for exporting companies. Authors found fairly significant performance
differences between purely domestic companies, exporting firms and the
affiliates of MNEs.
So, the change in trade regime affects the output prices, returns
from the development of new products (via Stolper-Samuelson linkages),
and influences the rate of productivity growth.
5. Conclusion
Productivity has great importance in economic analysis. Combined
productivity trend with other trends (population and output trends) is
used in economic growth models, usually to forecast output, as well as
the distribution of resources between different sectors of economy or
industry. The analysis of different theories (old and new trade and
economic growth theories) shows that there are many potential links
between trade and productivity.
These links are also found on macroeconomic and microeconomic
levels. At macroeconomic level constant growth in productivity
guarantees non-inflationary processes in country: increase in wages,
solving the problems of unemployment, trade deficit, and currency
exchange rate. on microeconomic level higher productivity is found among
exporting, especially among multinational enterprises. Research proved
that the labour productivity of export firms raises with the increase in
internationalisation.
The implementation of trade liberalisation means the lower marginal
trade costs and the removal of other trade barriers, which are related
to regulation and standard. Also country opens its market to
international trade by reducing all barriers (including technical
barriers to trade as well) for incoming and outcoming products. But the
old trade theory, based on theoretical Heckscher-Ohlin-Samuelson and
Viner-Meade frameworks, can't accommodate two-way trade. This
alternative focus regarding two-way trade is taken by constructing
trade-focused CGE models. Possible macroeconomic linkages between
productivity growth and trade regime is often analysed through total
factor productivity growth. There are two reasons when countries,
instead of losing productivity, have gains from trade liberalisation.
The first reason for that is demand, which is higher in larger markets
for any variety of products. The second reason for that is enlarged
country's consumption possibilities opening also new chance for
productivity increase.
The microeconomic link between trade liberalisation and firm's
productivity shows that entities are catching up international
productivity levels based on their market share. In addition, trade
liberalisation brings relative advantage to multinational enterprises in
short-run. Also changes the allocation of production branches and raises
entity's productivity across all products. But in general,
liberalisation brings welfare only if entities in specific country are
well prepared to face foreign competition.
The main effect from liberalisation comes when the opening of
domestic market to external markets ensures the higher export, better
allocation of resources and promotes the orientation of investments to
potential exporting sectors, which previously traded in domestic markets
mainly. The change in trade regime also affects the output prices,
returns from the development of new products (via Stolper-Samuelson
linkages), and influences the rate of productivity growth.
The research is limited and not covers the situation of small
countries. Small and open economies are more susceptible to large
external shocks, such as changes the terms of trade, regional contagion effects and other ones. Many of them have diversified trade structures
(small countries are dependent on Europe, US, Japan, and intra-Asian
trade). So, this is the objective of further research.
DOI:10.2507/daaam.scibook.2012.25
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Authors' data: Dr.soc.sc. Burinskiene, A[urelija]; Vilnius
Gediminas technical university, Faculty of Business Management,
Sauletekio ave 11, LT-10223, Vilnius, lithuania, eU,
aurelija.burinskiene@vgtu.lt