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Autor: Carmela Martín
Título: The impact of EU Trade agreement with central and Eastern European Countries: The case of Spain.
Resumen: Análisis del impacto en el comercio español de la liberalización de transacciones económicas entre la unión europea y los países anteriormente comunistas de la Europa Central y Oriental, considerado cómo los acuerdos de la asociación tuvieron como objetivo la ampliación eventual de la EU para incluir estos países. Para este propósito, describe los modelos comerciales entre los países signatarios, con la valoración econométrica de estos modelos y una predicción de los efectos de los acuerdos sobre comercio español.
Contact address: Prof. Carmela Martín Facultad de CC.EE. Universidad Complutense Campus de Somosaguas 28223 Madrid (Spain) phone: (34-1) 394 24 54 - 359 02 81 fax: (34-1) 350 39 40 - 394 24 57
Abstract
This paper makes a tentative
forecast of the impact on Spanish trade of the liberalisation of
economic transactions between the European Union and the former
communist countries of Central and Eastern Europe (CEECs), as
envisaged in the association agreements aimed at the eventual
enlargement of the EU to include these countries. For this
purpose, it describes the trade patterns between the signatory
countries ÄSpain, the rest of the EU and CEECsÄ
since the fall of the communist bloc and analyses, through the
econometric estimation of a gravity model, the determining
factors in these patterns. Lastly, starting from the projection
of the model estimated, along with several complementary
analyses, a prediction of the agreements' effects on Spanish
trade is made.
Key words: European Union,
Central and Eastern Europe, gravity model
JEL: F150, F120, F210
THE IMPACT OF EU
TRADE AGREEMENTS WITH CENTRAL AND EASTERN EUROPEAN
COUNTRIES: THE CASE OF SPAIN
by Carmela
Martín
Contents: I. Introduction. II.
Theoretical framework and strategy of the empirical analysis.
III. Trade patterns of the CEECs in relation to Spain and the
rest of the EU. IV. Tentative forecast of the impact of the
integration of CEECs on Spanish trade. V. Conclusions and final
remarks.
I. Introduction
The Essen summit of December 1994
ratified the resolve of the European Union (EU) to expand
eastwards through the incorporation of the six former communist
countries of Central and Eastern Europe (hereafter CEECs), namely
Bulgaria, the Czech Republic, Slovakia, Hungary, Poland and
Romania.
_________________________
Remark: This paper enlarges
on a study conducted by the author for the Commission of the
European Communities whose main findings were published in No.
1006 of the Discussion Paper Series of the Centre for Economic
Policy Research (CEPR). I would like to thank Richard Baldwin and
Olympia Bover for their helpful suggestions and comments on an
earlier version of this paper. I would also like to acknowledge
the efficient research assistance of Francisco J. Velázquez.
Unquestionably, the enlargement of
the EU to include the CEECs Ätogether forming a market
of roughly 95 million peopleÄ will significantly affect
the economies of the current member states. Naturally, it would
be interesting to know what course this impact is likely to take.
With this in mind, the most
sensible approach is to take as a starting point the already
existing commitments of the EU with the CEECs, since their
objective is to lay the groundwork for the future integration of
the six countries in the Union. These commitments are framed in a
series of association agreements Äknown as the Europe
AgreementsÄ signed between 1991 and 1993 with each of
the counties.
In this context, the aim of the
present paper is to estimate the extent to which the volume and
composition of Spanish trade will be affected once the
liberalisation of economic relations with the CEECs, as envisaged
in the above-mentioned agreements, has been achieved.
To this end, the paper is organised in the following way. After a brief overview of the contents of the agreements, Section II presents the theoretical approach and the empirical strategy used in the study. Section III describes the trade patterns of the countries involved in the agreements ÄCEECs, Spain and the rest of the EUÄ and also seeks to explain their determining factors starting from the estimation of a gravity model. On the basis of this equation and the measurement of the relative factor content of trade flows between the areas in question, Section IV provides a tentative prediction of the impact of the Europe Agreements on the volume and composition of Spanish trade by product and geographical region. Lastly, the conclusions of the study and several final remarks are given in Section V.
II. Theoretical framework and
strategy of the empirical analysis
After reviewing the many hundreds
of pages that make up the association agreements between the EU
and the CEECs, we find that their most substantive features can
be summarised in the following four points:
- The gradual liberalisation of
the mutual trade of goods with an asymmetrical calendar: a
maximum period of five years for the EU and twice that for the
CEECs.
- The liberalisation of direct
investment. In fact, by now this is practically a reality, given
the interest of the former communist countries in receiving
investment from abroad.
- The imposition of restrictions
on the flow of migrant workers, reflecting the desire of EU
countries to forestall the likely migratory pressure from the
CEECs.
- And, lastly, the gradual
alignment of the legal and institutional frameworks of the former
communist signatory countries with the EU framework, for which
the Union has agreed to provide financial backing through the
PHARE programme.
Thus, for analytical purposes, the
Europe Agreements can be considered a type of preferential trade
arrangement that incorporates the liberalisation of foreign
direct investment between the signatory countries.
Then, if we take into account the
theoretical evidence available in this field since the seminal
work of Viner [1950], which for reasons of space we cannot
describe here, the most appropriate starting point for predicting
the impact of the Europe Agreements on Spanish trade would be to
study the trade patterns of the three areas involved in the
agreements and their determining factors. This would seem to be
the only way to evaluate the importance of the
"trade-creating effect" and the "trade-diversion
effect" that can be expected to occur after the tariff and
non-tariff trade barriers now affecting the signatory countries
have been lifted.
Here, of course, the problem is
that there is no single theoretical reference for studying these
patterns of trade. Much to the contrary, what the theoretical
evidence on trade specialisation has offered up to now is a very
broad spectrum of models which, without entirely breaking with
the Heckscher-Ohlin-Samuelson (HOS) model, are formulated in the
framework of imperfect competition and introduce many other
factors aside from the relative factor endowment (in the strict
sense of physical capital and labour) in order to explain the
observable features in trade flows between countries and, in
particular, the coexistence of inter- and intra-sectoral trade
relations. The more recent models also postulate a strong
interlinkage between trade and direct investment. However, when
attempting to specify the terms of this interlinkage and the
relative weight of each of its determining variables, the
empirical investigation encounters a large array of models of
international oligopoly that are very difficult to test, since
they require very detailed information on the markets' structures
and on the strategies of their productive units, obviously
creating serious statistical barriers.
Naturally, the difficulties
arising from the empirical application of these models are
magnified in the case of Central and Eastern European countries.
By way of example, due to the differences in the concept of
productive activity between these countries and Western
economies, figures for per capita income are still the subject of
debate; the disaggregated data of their trade are framed in
incompatible sectoral nomenclatures, and information on the
characteristics of their productive structures is also
practically impenetrable.
In view of this, it is not easy to
formulate an empirically viable analytical strategy that can be
used as the basis for predicting future trends and changes in the
composition and geographical structure of the CEECs' trade flows.
Fortunately, however, the problem
posed by the limited information available on these economies
can, in the case of trade figures, be largely be overcome by
using those of Spain and other EU countries as a
"mirror" for inferring the trade structure of the CEECs
in each market. Notwithstanding, the unavailability of statistics
on the features of these countries' productive structures
continues to be a problem.
In short, at least until a larger
supply of statistics on the CEECs is available, the most
appropriate procedure would seem to be:
1) To describe the CEECs' trade
patterns vis-à-vis Spain and the rest of the EU members,
incorporating the analysis of both inter- and intra-industry
trade relations.
2) To estimate an econometric
model to explain these patterns, whose testing does not require
data on the CEECs that are still unavailable. Then, in the case
that the fit is good, to simulate the impact of the CEECs' trade
integration on the EU as a way of foreseeing what type of trade
adjustment this would entail for Spain. And, lastly, to revise
the resulting predictions on trade adjustment in the light of the
expected changes in foreign direct investment.
This will be our objective in the
next two sections.
III. Trade patterns of the CEECs in relation to Spain
and the rest of the EU
In line with the theoretical
observations in the previous section, the most likely Äand,
in any event, the most significantÄ changes in Spanish
trade resulting from the fulfilment of the stipulations in the
Europe Agreements are two: first, an increase in bilateral trade
between Spain and the CEECs and, second, a displacement in
Spanish exports to the EU in favour of exports from East-bloc
countries. Thus the most logical approach is to centre our
analysis on these trade flows and also on the trade relations of
Spain and the CEECs with the rest of the EU countries in order to
learn their degree of similarity. From there, we can assess the
extent to which the products that Spain exports to the EU market
are likely to be substituted by products from the former
communist countries.
For this purpose, the figures for
the trade flow of Spain and the other 11 EU countries with the
CEECs Ädisaggregated by sectors of activity under the
NACE-CLIO R. 25 classificationÄ are used. Thus:
. XitSE and
MitSE : Spanish exports and imports with
the countries of Central and Eastern Europe of sector i
commodities in the year t.
. XitUE and
MUE : exports and imports of the European Union,
excluding Spain, with the CEECs of sector i in the year t.
. XitSU and MSU : Spain's intra-Community exports and imports of sector i in the year t.
Where:
i = 1 ... 15 branches of goods of
the NACE-CLIO R. 25 classification.
j = 1981 ... 1992.
In addition, the availability of
data on Spain's bilateral trade with these economies and also
with the members of the Union (with the maximum degree of
disaggregation of the CUCI classification, i.e. five digits)
allows us to measure, in these cases, the intensity of
intra-industrial trade.
It could be argued that, due to
the autarkic policies of the former communist countries in their
trade with non-COMECON members, the trade structure of the CEECs
does not adequately reflect the nature of their comparative
advantages. Although this problem cannot be ruled out, in which
case the study's findings should be interpreted with caution,
there is also reason to believe that planners attempted to
achieve the most efficient specialisation on non-COMECON markets
in order to cope with their more competitive market conditions.
Moreover, insofar as the analysis focuses on the years after the
fall of the communist system in 1989, this problem, had it
existed, would have diminished.
Although, for reasons of space,
this paper does not describe the method of analysis or its
findings in detail (both are developed in Martín and Gual
[1994]), it is worth reviewing the main conclusions.
To begin with, as to the principal
features observed in the bilateral trade between Spain and the
former communist countries, it should be noted that the
weight of these countries in Spanish commodity trade is still
small (nearly 1%), although their presence is much more
significant in certain sectors: metals, food, textiles and, above
all, non-metallic minerals (more than 3%) on the import side, and
agricultural goods and mechanical machinery on the export side.
Second, there is a notable
predominance of intersectoral trade, with Spain running a deficit
in most of the branches studied. Thus, in the most recent
three-year period for which information was available
(1990-1992), Spain ran a surplus in its trade with the CEECs in
only four sectors: agriculture, agricultural and industrial
machinery, electrical goods, and rubber and plastic products.
However, it should also be mentioned that the computation of the
Grubel and Lloyd intra-industry trade index indicated that, in
1992, 26.6% of Spain's manufacturing trade with these countries
was of this type. For a clearer idea of the significance of this
proportion, it is worth noting that, according to the estimate
for 1990 based on the same methodology (see Martín 1992),
Spain's intra-industry trade with its EU partners represented
54.1% of manufacturing transactions, while this figure was 32.2%
in the case of trade with the rest of the world.
Turning to the trade relations
of Spain and the CEECs with the rest of the EU countries, the
most significant finding Äby measuring the indices of
revealed comparative advantages and specialisationÄ was
the strong similarity in the structure of the comparative
advantages and disadvantages of the two economies (Spain's and
the CEECs as a whole) on the market formed by the rest of the EU
countries. This lends further support to the above-mentioned
hypothesis that the rivalry between firms in Spain and in the
CEECs to export to the EU market is likely to increase.
In view of the results obtained in
the descriptive analysis of the trade patterns of the three areas
in question, it is clear that any attempt to explain these
patterns must take into account the coexistence of trade
relations of both an inter- and intra-industry nature.
Consequently, a model must be used whose explanatory variables
incorporate the relative factor content Äthe
determinant in trade relations of an inter-industry natureÄ
and others factors such as the economies of scale and product
differentiation associated with intra-industry trade.
In this sense, it can be argued,
as in Bergstrand [1985, 1989] and Helpman and Krugman [1985,
chap. 8], that the gravity model provides a good equation for
explaining the bilateral trade flows between the areas in
question. Indeed, this model, as formulated in Linneman [1966],
has earned a good and increasingly better empirical reputation,
and in more recent years, thanks to the aforementioned works, it
has received the theoretical support that justifies its use.
For these reasons, in our attempt
to explain the bilateral trade relations between Spain, the rest
of the EU and the CEECs Äultimately aimed at predicting
the trade adjustments associated with the lifting of trade
barriers stipulated in the Europe AgreementsÄ we set up
a gravity model, using a panel data approach for the period 1989
to 1992. Thus the sample comprises 240 bilateral trade flows
(Belgium and Luxembourg, on the one hand, and the Czech Republic
and Slovakia, on the other, the latter considered jointly for
reasons of statistical availability) and spans four years,
together totalling 960 observations.
The gravity model equation that is
used as a starting point to explain the bilateral trade flows of
the countries in question is, expressed in logarithms, as
follows:
1
Where:
btit = bilateral trade,
from the export country to the import country in the year t.
popexit = population of
the export country in the year t.
gdppexit = GDP per
capita of the export country in the year t.
popimit = population of
the import country in the year t.
gdppimit = GDP per
capita of the import country in the year t.
disti = distance
between the export country and the importer, invariant during the
period.
And where:
i = the number of annual bilateral
trade flows, which amount to 240 (16 x 16 - 26).
t = 1989 ... 1992 (4 years).
The economic interpretation of the
regressors and their expected sign are as follows: the GDP per
capita of the import and export countries are indicative of their
income and, moreover, in accordance with the monopolistic
competition model of Helpman and Krugman [1985, chap. 8], are
linked to the degree of differentiation in demand and supply,
respectively, whereas the populations are an approximation of
their sizes and, therefore, of the degree to which production is
subject to increasing returns to scale. Consequently, considering
that the model assumes the existence of differentiated products,
the expected sign of all the variables is positive. With respect
to distance, this variable seeks to evaluate the transport costs
between the trade partners, and therefore the sign of its
relationship to bilateral trade flows is likely to be negative.
Moreover, as indicated, this is the only variable that is defined
as invariant over time. Lastly, a final remark on the variables
in the equation: the random disturbance term incorporates two
types of error Äone associated with the variables that
change both between individuals and over time, and a second type
related to components that may not vary over time.
This said, and considering that
the information on the statistical sources is given in the Appendix,
we can now turn to the method used to set up the equation.
As is widely known, estimations
under the ordinary least squares (OLS) method can lead to biased
estimators of the parameters, due to the presence of individual
effects. In this context, the usual procedure to obtain
consistent and non-biased estimators is to use the within-groups,
or fix effects, method. The estimators thus obtained are
consistent and non-biased, although they may not be the most
efficient; in fact, if there is no correlation between the
individual effects and the regressors, the estimation under
generalised least squares (GLS) would provide for greater
efficiency [Arellano, Bover 1990]. However, the use of this
method is only recommended when the individual effect is
independent of the regressors, and therefore this should be
previously ascertained by applying the Hausman test.
In this respect, the results
obtained by applying the GLS estimator are given in Table 1. For
comparative purposes, these are accompanied by the findings under
the within-groups method which was used to apply the Hausman test
and also those obtained by OLS.
[TABLE 1 around here]
As shown, the values of the t
statistics, associated with the coefficients of the explanatory
variables, reflect the significance of all the variables.
However, given the likely presence of individual effects
correlated with the regressors and clearly detected by the
Hausman test, it becomes necessary to re-specify the model by
including other explanatory variables capable of detecting these
individual effects. In this respect, the nature of the panel data
in our estimations allows us to suspect the existence of
individual effects of two types: individual effects in the strict
sense, i.e. those related to bilateral flows, and those
associated with the heterogeneity of the countries.
In the case of the first type, the
most logical candidate is the real exchange rate. Since it is
specified as the price index of the export country in relation to
the domestic prices of the import country, its sign is presumably
negative.
As seen in Table 2, the new
specification allowed a certain improvement in the fit, although
the Hausman test continues to indicate the persistence of
individual effects, thereby preventing us from accepting the
estimator by GLS. Moreover, the results of the within-groups
estimation, which for the time being are the only consistent
ones, now (after the inclusion of the relative prices) give a
negative Äand, therefore, theoretically perverseÄ
sign for the variable of the import country's GDP per capita.
This suggests the possible existence of a non-linear relationship
between the latter variable and the price variable, which should
therefore be explored.
[TABLE 2 around here]
To this end, another estimation of
the gravity equation was made by introducing both variables
multiplicatively (ppcmprer). Table 3 gives the results of this
estimation and indicates that, as suspected, the impact of the
import country's GDP per capita on the trade flows varies
according to the value of the relative prices. Moreover, when the
GDP per capita variable is expressed in this way, it takes on the
expected sign, thus showing that the sign remains positive even
though prices alter the income effect. However, the Hausman test
indicates that the individual effects have still not been
eliminated. In other respects, as noted earlier, this seems
logical, taking into account that the countries in the sample
exhibit notable differences in their productive structures and
trade regimes. In this sense, it is reasonable to believe that
the countries' inclusion within a group Äwhether as
members of the European Union or of the area of former communist
countriesÄ may constitute a factor responsible for the
existence of individual effects. Therefore, it could prove
interesting to test the plausibility of this hypothesis by
introducing dummies in the equation.
[TABLE 3 around here]
Under this procedure, we find that
the individual effects can, in fact, be controlled by
incorporating in the equation two dummy variables, which reflect
intra-Community trade (DEU) and trade originating in the area of
the former communist countries (DCEEC). Consequently, as shown in
Table 4, with this specification of the equation, the estimate
under the GLS method provides consistent estimators (the Hausman
test is passed), i.e., just as consistent as, but more efficient
than, those obtained under the within-groups method.
[TABLE 4 around here]
A reasonably good fit is obtained,
and the resulting values for the parameters of the regressors are
coherent, in sign and volume, with the theoretical evidence.
Thus, first of all, it is noteworthy that the performance of
bilateral trade flows is more influenced by demand factors than
by supply factors. In this respect, it should also be pointed out
that the population and the GDP per capita of the export country
have an analogous coefficient, although this is not the case when
we consider the importer's variables. Second, it is worth noting
that the income effect, particularly that of the import country,
is more significant than the price effect. Third, it must be
noted that the trade between the countries is unequivocally
conditioned by the distance between them. Lastly, the parameters
associated with the dummy variables concord with the existence of
lower barriers in intra-Community trade than in the transactions
with the new capitalist countries.
IV. Tentative forecast of the impact of the integration of
CEECs on Spanish trade
In the light of the good results
obtained by estimating the gravity model, it would seem
reasonable to use it Äalbeit with due cautionÄ
to simulate several different scenarios to gauge the impact of
the CEECs' integration in the Union on Spanish trade and also, as
a reference point, on the rest of the EU economies.
In this respect, we projected two
scenarios with different degrees of integration. In the first, of
"lesser integration", it is assumed that the future
process of liberalisation of trade transactions with the CEECs
will be similar to that observed since the collapse of the
communist system in 1989 and which was, implicitly, detected in
the model's estimation. In the second scenario, of "greater
integration", it is assumed that the opening-up process
between the EU and the CEECs will quicken in the future. In this
respect, given the lack of information on the level of tariff
barriers and other restrictive factors in the trade of these
economies, the most reasonable approach would be to estimate the
scenario of greater integration through a projection of the model
by altering the coefficient of the dummy corresponding to the
CEECs. A sensible option could be to give this variable a value
mid-way between the coefficients obtained for the dummy variables
DEU and DCEEC (see Table 4, column 3), since, no matter how much
the integration of the former communist countries advances, it
would not seem realistic to confer on them the same situation
that exists between the member countries of the Union.
The remaining assumptions Äreferring
to the performance of the explanatory variables of tradeÄ
necessary to project the model were the same for both scenarios.
We assumed a growth rate of 4% for the former communist
countries, i.e. higher than the rate in the EU, which is assumed
to be 3% annually on average, and three alternatives with respect
to the changes in the real exchange rates of the CEECs Äno
growth, 25% growth and 50% growth. Thus we have three different
projections for each of the scenarios, whose results are
summarised in Tables 5 and 6. From them, we can glean several
ideas as to the possible course of trade relations of the CEECs
with Spain and the rest of the EU countries in the future.
[Tables 5 and 6 around here]
First of all, what stands out is
the likely expansion of bilateral trade flows at a higher rate in
Spain than in the average of the remaining EU countries, which is
consistent with its clearly lower starting point than that of the
EU average. The expected trade expansion is much higher in the
scenario of greater integration.
Second, it is notable that the
forecasts for the trade balance are, in all the hypotheses,
clearly more favourable for the rest of the EU countries on
average than for Spain. In any event, it can be seen that the
expectations regarding the performance of trade balances vary
significantly according to the hypothesis used for the real
exchange rate, and, logically, these expectations are all the
more favourable for EU countries the greater the deterioration in
the competitiveness of the CEECs.
Lastly, the results of the
projections suggest that the deepening of the process of mutual
trade liberalisation with the CEECs would lead to an increase in
trade with these countries, with favourable results (in terms of
the trade balance) for Spain and, especially, for the rest of the
EU.
However, it must be borne in mind
that the gravity model, whose estimation was used to prepare
these projections, does not allow contemplating the possible
existence of substitution processes between countries in their
exports to international markets. This is a crucial factor, since
it means that part of the effects of the association agreements
would not reach Spanish trade Äconcretely, the possible
substitution of Spanish exports to the EU market by exports of
the former communist countries. Obviously, this would give rise
to much less favourable expectations about the impact of the
Europe Agreements on Spanish trade.
In this respect, considering the
earlier descriptive analysis of the structure of Spain's
comparative advantages and disadvantages vis-à-vis the CEECs on
the EU market, it must be kept in mind that this substitution
effect in Spain's intra-Community exports is not only possible Äit
is probable. Consequently, this line of research should be
pursued further in order to gain a clearer idea of the extent of
this probability.
For this purpose, it would seem
useful to estimate the underlying factor content in the trade
relations between Spain and the CEECs and in the relations of
each with the rest of the EU(11) member countries.
Moreover, an analysis of factor
content is the most appropriate channel for predicting the
sectoral composition of the expected trade expansion, an equally
key subject on which the gravity model also fails to provide
information.
Therefore, as the next step in our
research, we calculated the content of three underlying factors
(labour, physical capital and human capital) in the trade
relations between Spain and the CEECs and in each one's relations
with the EU(11). For this purpose, we used Leontief's seminal
method, i.e., I-O tables, albeit after applying the criterion
proposed by Leamer [1980].
Since Martín [1994] explains in
detail the way the necessary variables were constructed, the
procedure used in the calculation, and the overall results, here
we shall only comment on the main conclusions.
The findings suggest that the
Spanish economy and the economies of the CEECs share a situation
of relative disadvantage vis-à-vis the EU(11) in the endowment
of human capital as opposed to physical capital and labour.
However, when a comparison is
drawn between Spain and the formerly centrally planned economies,
the Spanish economy seems to have a relative abundance of human
capital with respect to physical capital and also of the latter
with respect to labour.
Consequently, on the basis of
these results, we are able to venture several forecasts of the
sectoral composition of the future adjustments of Spanish trade
derived from the increasing international integration of the
former communist countries:
- First, in relation to bilateral
trade with the CEECs, there is likely to be an expansion in
Spanish exports of goods that are relatively intensive in
physical and human capital, in exchange for imports of
labour-intensive goods.
- Second, in addition to lending
further support to the hypothesis regarding the probable
displacement of Spanish exports on the EU market by the exports
of CEECs, it could be postulated that this displacement will be
greater in the case of labour-intensive products.
In any event, these forecasts of
the sectoral specialisation of the trade relations promoted under
the Europe Agreements should be interpreted with caution, since
it must be borne in mind that the composition of trade is
influenced by variables other than the relative factor endowment
of the countries. Here, foreign direct investment would
presumably play a basic role.
Moreover, the fact that the
liberalisation of direct investment is one of the areas most
clearly contemplated in the agreements heightens the probability
that the trade adjustment will be strongly conditioned by the
changes arising in direct investment.
Thus, as a final step in the
investigation, the paper addresses this question.
More specifically, it seeks to
answer two questions:
- What are the most probable
changes in the future flow of direct investment?
- How would these changes affect
the plausibility of the forecast for the adjustment in Spanish
trade?
To start with, in an attempt to
foresee the future course of direct investment flows, three types
of information were taken into account:
a) The results obtained in the
estimation of the relative factor endowment of the three areas,
which, as we have just indicated, underscored the weakness of the
capital endowment, both physical and human, of the former
communist countries in relation to that of Spain and, to a much
greater degree, to that of the rest of the EU as a whole.
On this basis, it could be
postulated that direct investment will flow from the EU countries
(including Spain) in the direction of Central and Eastern Europe
and not conversely. Also, most of this investment is likely to
come from the more advanced countries of the Union, given the
higher capacity of these countries in technological capital and
other intangible assets and the greater degree of
internationalisation of their companies.
b) The second type of information
(in this case for the specific purpose of evaluating the
possibility that the increase in the direct investment of EU
countries may occur at the expense of investment received by
Spain) draws on the analysis of the relative locational
advantages of each area. Here, admittedly, the very limited
information available on the formerly centrally planned economies
precluded obtaining much more than a few indicative signs, which
nonetheless do signal the plausibility of a process of investment
displacement. Most notably, the CEECs have clear advantages in
labour costs and, in most cases, a better geographical location
(from the standpoint of their proximity to Europe's economic
power centres). Although these advantages could be offset by the
larger size of the Spanish market and its better infrastructure
endowment, we do not know to what extent.
c) The third and last source of
information used to predict the future course of direct
investment were the data on the its behaviour since the collapse
of the communist system. Here two particularly interesting
developments were found.
First, as to be expected, Spanish
direct investment in communist countries, although of limited
volume, amply exceeded the CEECs' investment in Spain, and this
tendency was seen to be on the rise.
Second, the main countries of
origin of the direct investment received by the CEECs since 1989
(whose growth has been enormous, particularly in the case of
Hungary, the Czech Republic and Poland) were Germany, Austria,
France and Italy. Notably, the sectors that absorbed the largest
portion of this investment were automobiles, electrical goods,
chemical products and food industries (see Houde, 1994 and UN,
1993).
In sum, taken together, this
information points towards the possibility that direct investment
in emerging capitalist countries Äfrom Spain but in
particular from the more advanced EU countriesÄ will
expand in the years ahead. In addition, this tendency may entail
a certain displacement of the direct investment received by
Spain.
Lastly, as to the second question
of how this shift in investment is likely to affect Spanish
trade, the study's findings can be summarised in the following
points:
First, it seems safe to say that
Spanish direct investment would help to strengthen and
consolidate Spain's exports on emerging capitalist markets.
Second, it could be argued that the expected growth in the investment of Spain's more developed EU partners will strengthen the competitive position of former communist countries, not only in the goods where these economies enjoy comparative advantages, but also in other goods Äintensive in physical and human capitalÄ where the situation of the CEECs could be appreciably improved as a result of the activity of foreign investors. If Äas it seems reasonable to assumeÄ the strategy of foreign investors is not confined to supplying the domestic market but also focuses on taking advantage of the these countries' advantages in labour costs and geographical location, using them as centres of production and exports, then Spanish trade could be jeopardised.
5. Conclusions and final
remarks
It is a general methodological
principle that any attempt to forecast the future conduct of an
economic phenomenon should be based on an adequate knowledge of
its performance in the past. Thus, in the area of international
economic integration (in which this paper is largely
encompassed), it is also a given that any evaluation of the
impact on trade of a process of integration Äof
whatever typeÄ requires a knowledge of the trade
relations between the areas involved and their determining
factors.
This is the ground covered here.
From this standpoint, I believe that the paper adds appreciably
to what is known about the nature and determinants of the trade
between the former communist countries and the European Union and
Spain in particular. However, given the permanent metamorphosis
of these economies (and the uncertainty surrounding their process
of political and economic transformation), this knowledge does
not provide a firm enough basis for predicting with any
confidence their future conduct. As a result, I believe that the
quantitative forecasts in the paper should be taken only as a
reference point.
In any event, the study's findings
would seem to provide a helpful indication of the opportunities
that the CEECs' integration will open up for the exports and
investment of Spanish firms in emerging markets and also the
difficulties that the Spanish economy will face in taking
advantage of these opportunities.
In this respect, the paper
suggests that, despite their unquestionable labour cost
advantages, Central and Eastern European countries are not, in
themselves, a threat to the Spanish economy, which appears to
enjoy competitive advantages in many other factors. Moreover, the
results indicate that the Spanish economy is relatively well
equipped to set up production centres in these countries, which
appears to be the best channel for firms to gain and maintain a
foothold in these new markets.
However, what the paper does
detect as a danger is the possible displacement of Spanish
intra-Community exports by goods from the CEECs, including goods
produced by the multinational companies of Spain's more advanced
EU partners that use these countries as centres of production and
exports to all of Europe, while benefiting from their advantages
in labour costs and geographical location.
Nonetheless, in relation to the latter hypothesis, due to the scarcity of data, the study was only able to provide a few signs Äto find a firmer body of evidence poses a challenge that I propose to pursue in a longer version of this study.
TABLE 1. OLS,
WITHIN and GLS Estimators
2
ÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ
OLS | WITHIN | GLS | |
b1 | 0.80 (24.4) |
9.0 (5.1) |
0.85 (10.5) |
b2 | 0.99 (34.1) |
1.6 (9.3) |
0.75 (11.1) |
b3 | 0.85 (25.8) |
6.5 (3.7) |
0.87 (10.8) |
b4 | 0.95 (32.7) |
0.75 (4.3) |
0.90 (13.4) |
b5 | -1.36 (28.2) |
- | -1.4 (12.1) |
b0 | 2.45 (3.9) |
- | 2.8 (1.8) |
0.85 | -0.10 | 0.40 | |
S.E. | 0.90 | 0.35 | 0.45 |
ÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ
Hausman Test 276
ÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ
TABLE 2. OLS,
WITHIN and GLS Estimators
3
ÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ
OLS | WITHIN | GLS | |
b1 | 0.81 (25.1) |
4.52 (2.8) |
0.83 (10.9) |
b2 | 0.97 (34.3) |
0.34 (1.6) |
0.86 (13.4) |
b3 | 0.84 (26.0) |
7.4 (4.7) |
0.9 (11.5) |
b4 | 0.96 (33.8) |
-0.8 (4.1) |
0.8 (12.1) |
b5 | -1.37 (28.9) |
- | -1.4 (12.8) |
b6 | -0.66 (6.6) |
-0.7 (13.6) |
-0.7 (14.9) |
b0 | 5.58 (7.18) |
- | 6.1 (4.1) |
0.86 | 0.13 | 0.50 | |
S.E. | 0.88 | 0.31 | 0.39 |
ÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ
Hausman Test 171.8
ÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ
TABLE 3. OLS,
WITHIN and GLS Estimators
4
ÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ
OLS | WITHIN | GLS | |
b1 | 0.81 (25.4) |
3.7 (2.3) |
0.82 (11.4) |
b2 | 0.97 (34.7) |
0.58 (2.8) |
0.93 (15.3) |
b3 | 0.85 (26.6) |
3.19 (2.1) |
0.86 (12.1) |
b4 | 3.07 (12.0) |
2.08 (12.0) |
2.96 (24.3) |
b5 | -1.36 (29.2) |
- | -1.39 (13.3) |
b6 | -0.46 (8.4) |
-0.44 (15.5) |
-0.46 (19.5) |
b0 | 2.41 (3.9) |
- | 2.64 (1.9) |
0.86 | 0.18 | 0.56 | |
S.E. | 0.87 | 0.30 | 0.36 |
ÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ
Hausman Test 62.7
ÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ
TABLE 4. OLS,
WITHIN and GLS Estimators
5
ÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ
OLS | WITHIN | GLS | |
b1 | 0.83 (32.2) |
3.67 (2.3) |
0.83 (15.2) |
b2 | 0.89 (15.2) |
0.58 (2.8) |
0.83 (7.5) |
b3 | 0.91 (35.6) |
3.18 (2.0) |
0.92 (16.7) |
b4 | 2.23 (10.7) |
2.08 (12.0) |
2.40 (18.6) |
b5 | -1.2 (31.8) |
- | -1.27 (15.2) |
b6 | -0.41 (9.4) |
-0.44 (15.5) |
-0.46 (18.7) |
DUE | 2.15 (23.4) |
- | 2.24 (11.9) |
DCEEU | 1.33 (9.2) |
- | 1.27 (4.5) |
b0 | 0.86 (1.6) |
- | 0.99 (0.87) |
0.91 | 0.17 | 0.70 | |
S.E. | 0.69 | 0.30 | 0.35 |
ÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ
Hausman Test 12.8
ÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ
TABLE 5. MEDIUM-TERM PROJECTION OF TRADE WITH THE CEEC's
(Lesser integration scenario)
% of GDP in real 1990 terms | |||
Exports | Imports | Trade balance | |
REAL SITUATION IN 1992 | |||
European Union (11) ................. | 0.44 | 0.39 | 0.05 |
Spain ..................................... | 0.08 | 0.12 | -0.04 |
Cumulative annual rate | |||
Exports | Imports | Trade balance | |
MEDIUM-TERM
PROJECTION Alternative assumptions on real exchange rate trends: |
|||
a) NO GROWTH | |||
EU (11) ............................ | -0.04 | 1.68 | Ä |
Spain ............................... | 4.10 | 4.78 | Ä |
% of GDP in real 1990 terms | |||
Exports | Imports | Trade balance | |
EU (11) ........................... | 0.21 | 0.29 | -0.08 |
Spain .............................. | 0.10 | 0.18 | -0.08 |
Cumulative annual rate | |||
Exports | Imports | Trade balance | |
b) D 25% | |||
EU (11) ........................... | 0.51 | 0.23 | Ä |
Spain .............................. | 4.66 | 3.46 | Ä |
% of GDP in real 1990 terms | |||
Exports | Imports | Trade balance | |
EU (11) ........................... | 0.24 | 0.20 | 0.04 |
Spain .............................. | 0.11 | 0.13 | -0.02 |
Cumulative annual rate | |||
Exports | Imports | Trade balance | |
c) D 50 % | |||
EU (11) ........................... | 0.96 | -0.93 | Ä |
Spain .............................. | 5.13 | 2.40 | Ä |
% of GDP in real 1990 terms | |||
Exports | Imports | Trade balance | |
EU (11) ........................... | 0.27 | 0.15 | 0.12 |
Spain .............................. | 0.13 | 0.10 | 0.03 |
TABLE 6. MEDIUM-TERM PROJECTION OF TRADE WITH THE CEEC's
(Greater integration scenario)
% of GDP in real 1990 terms | |||
Exports | Imports | Trade balance | |
REAL SITUATION IN 1992 | |||
European Union (11) ................. | 0.44 | 0.39 | 0.05 |
Spain ..................................... | 0.08 | 0.12 | -0.04 |
Cumulative annual rate | |||
Exports | Imports | Trade balance | |
MEDIUM-TERM
PROJECTION Alternative assumptions on real exchange rate trends: |
|||
a) NO GROWTH | |||
EU (11) ............................ | 7.24 | 3.67 | Ä |
Spain ............................... | 11.69 | 6.83 | Ä |
% of GDP in real 1990 terms | |||
Exports | Imports | Trade balance | |
EU (11) ........................... | 1.20 | 0.46 | 0.74 |
Spain .............................. | 0.57 | 0.29 | 0.28 |
Cumulative annual rate | |||
Exports | Imports | Trade balance | |
b) D 25% | |||
EU (11) ........................... | 7.83 | 2.19 | Ä |
Spain .............................. | 12.29 | 5.49 | Ä |
% of GDP in real 1990 terms | |||
Exports | Imports | Trade balance | |
EU (11) ........................... | 1.38 | 0.32 | 1.06 |
Spain .............................. | 0.65 | 0.21 | 0.44 |
Cumulative annual rate | |||
Exports | Imports | Trade balance | |
c) D 50 % | |||
EU (11) ........................... | 8.32 | 1.01 | Ä |
Spain .............................. | 12.78 | 4.41 | Ä |
% of GDP in real 1990 terms | |||
Exports | Imports | Trade balance | |
EU (11) ........................... | 1.54 | 0.24 | 1.30 |
Spain .............................. | 0.73 | 0.16 | 0.57 |
APPENDIX
DATA USED TO ESTIMATE THE
GRAVITY MODEL
The bilateral trade flows (COM),
which are specified in the equation from the viewpoint of the
export country, were nonetheless constructed from information on
the import country, due to the greater reliability of these data.
In the case of Spain, the data were those of the Spanish Customs
Authorities of the Economy Ministry; for the other member
countries of the European Union, the source was Eurostat, and,
lastly, the figures for the bilateral relations of the CEECs
between themselves were drawn from the International Monetary
Fund's "Direction of Trade Statistics Yearbook".
The trade figures in the equation
are expressed in 1990 ECUs. The deflation of the monetary
aggregates was based on unit value indices, using in the case of
Spain the figures of the Directorate-General for Economic and
Financial Affairs; the statistical appendix of the journal European
Economy for the other members of the Union and, lastly, the
OECD's recently published "Short-term Economic Statistics:
Central and Eastern Europe" for the CEECs. As to exchange
rates, which had to be used to specify all amounts in ECUs, for
Spain the official rates (annual average) of the Bank of Spain
were used, and those published in the IMF's "International
Financial Statistics" in the case of the former communist
countries. It should be noted that, as usual, monetary aggregates
were deflated in terms of the values expressed in national
currencies and then translated into ECUs.
As to the variables of population
and GDP per capita, the main statistical sources were: for
Spain, the National Statistics Office, for the EU(11) the
aforementioned journal European Economy, and for the CEECs
the latest report of the World Bank. Naturally, the GDP per
capita of the countries are also expressed in 1990 ECUs.
In relation to the real exchange
rate, note should be had that it was constructed for each pair of
countries, specified in the following way: price index of the
export country vis-à-vis the domestic prices of the import
country.
Lastly, the distance variable between each pair of countries, reflecting the most direct distance by air, was estimated from the data of the PC Globe programme kindly provided by R. Baldwin.
References
Arellano, M., Bover, O.,
"La Econometría de Datos de Panel". Investigaciones
Económicas. Madrid, Spain 1990. XIV, Nº 1, pp. 3-45.
Balwin, R., Towards an
Integrated Europe, London 1994. CEPR.
Baldwin, R.E., Venables, T.,
"Regional economic integration" in Grossman, G.M.,
Rogoff, K. (Ed.): Handbook of International Economics,
III, 1995.
Bergstrand, J.H., "The
gravity equation in international trade: some microeconomic
foundations and empirical evidence". 1985. The Review of
Economics and Statistics, LXVII nº 3, pp. 474-481.
Bergstrand, J.H., "The
generalized gravity equation, monopolistic competition and the
factor-proportions theory in international trade". 1989. The
Review of Economics and Statistics nº 1, LXXI, pp. 143-153.
CEPR, Monitoring
European Integration. The Impact of Eastern Europe, 1990.
Grossman, G., Helpman, E., Innovation
and Growth in the Global Economy. Cambridge Mass 1991. MIT
Press.
Grossman, G. (Ed.), Imperfect
Competition and International Trade. MIT Press 1992.
Hamilton, C.B., Winters, L.A.,
"Opening up international trade with Eastern Europe",
1992, Economic Policy 14, pp. 77-116.
Hausman, J.A., Taylor, W.E.,
"Panel Data and Unobservable Individual Effects". 1981.
Econometrica, 49, pp. 1377-1398.
Helpman, E., Krugman, P., Market
Structure and Foreign Trade. MIT Press 1985.
Houde, J., "Foreign
Investment in Hungary". 1994. The OECD Observer 189,
Augoust-September, pp. 36-38.
Jacquemin, A., Sapir, A., The
European Internal Market Trade and Competition. 1989. Oxford
University Press.
Krugman, P., Rethinking
International Trade. 1990. MIT Press.
Leamer, . "The
Leontief paradox reconsidered". 1980. Journal of
Political Economy, 88, pp. 495-503.
Linnemann, H., An
Econometric Study of International Trade Flows. 1966.
North-Holland.
Martín, C., "El
comercio industrial español ante el Mercado Único europeo"
en Viñals, J. (Ed.), La economía española ante el Mercado
Único europeo. Las claves del proceso de integración.
Madrid, Spain 1992. Alianza Editorial.
Martín, C., "El
impacto de los acuerdos de asociación entre la Unión Europea y
los países del centro y este de Europa en el comercio
español". Madrid, Spain 1994. Documento de Trabajo 110.
Fundación FIES.
Martín, C., Gual, J.,
"Trade and foreign direct investment with Central and
Eastern Europe: its impact on Spain", London 1994, Discussion
Paper Series 1006, Centre for Economic Policy Research
(CEPR).
Robson, P., The
Economics of International Integration (Third Edition).
London 1987. U. Hyman.
United Nations (UN), World
Investment Report. New York 1993.
Viner, J., The Customs
Union Issue. New York 1950.
Wang, Z.K., Winters, L.A.,
"The trading potential of Eastern Europe", London 1991.
CEPR, Discussion Paper 610.
Winters, L.A., Trade flows and Trade Policy after "1992". Cambridge 1992. Cambridge University Press.
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