|
MPIfG Working Paper 01/3, May 2001
Two Dimensions of the
Internationalization of Firms
by Anke Hassel, Martin Höpner, Antje Kurdelbusch, Britta Rehder
and Rainer Zugehör
Abstract
The debate about measuring the
degree of internationalization of firms has not solved the question about the
usefulness of having one index on the internationalization of firms. This
article argues in favour of constructing indices, if the components of those are
theoretically and empirically coherent. It also proves empirically that there
are at least two dimensions of internationalization: one referring to the
activities of firms abroad and one relating to the proximity of the firm to
international capital markets. Using a sample of the 100 largest German
companies, this study shows that both dimensions, the real and the financial one,
do not co-vary and therefore cannot be combined into one index.
Zusammenfassung
Um den
Einfluß wirtschaftlicher Internationalisierung auf
nationale Institutionengefüge zu überprüfen, werden
geeignete Meßverfahren zur Messung von
Internationalisierung benötigt. Der Beitrag stellt ein
Verfahren zur Messung der Internationalisierung von
Unternehmen vor. Dabei wird davon ausgegangen, daß die
Internationalisierung von Unternehmen mehrere
unterscheidbare Dimensionen hat. Die realwirtschaftliche
Dimension beschreibt die güter- und
produktionswirtschaftliche grenzüberschreitende Expansion
der Unternehmen, während die kapitalmarktbezogene
Dimension die Orientierung der Unternehmen an
internationalen Kapitalmärkten abbildet. Anhand einer
Untersuchung über den Internationalisierungsgrad der 100
größten deutschen Unternehmen werden beide
Internationalisierungsdimensionen empirisch überprüft.
Die Faktorenanalyse unterstützt die Annahme, daß sich
beide Dimensionen empirisch deutlich voneinander
unterscheiden lassen. Anhand der vorgestellten
Messmethoden lassen sich die Unternehmen eindeutig in
stark und schwach internationalisierte Unternehmen
einteilen.
Contents
Introduction
Indices on the
Degree of Internationalization
Real and Financial
Dimensions of Internationalization
Research Method
Research
Sample
Research
Variables
Data
Sources
Data
Analysis
Discussion: Two
Dimensions of Internationalization
Conclusion
References
Introduction
Measuring the degree of internationalization of firms has become a contested
and largely unresolved issue in international business research (Sullivan 1994;
Ramaswamy, Kroeck et al. 1996; Sullivan 1996). At the same time, there are a
great number of theories on internationalization and an equally large number of
empirical studies attempting to test what effect the degree of
internationalization has on the behaviour and performance of firms. As Sullivan
argued in 1994, the unsatisfactory results of some of these studies might be
due to the largely unreliable measurement of just how internationalized firms
are. (Sullivan 1994). In order to improve the quality of empirical studies,
Sullivan proposed an aggregate index of the degree of internationalization,
comprised of five variables. Measuring the degree of internationalization of
firms by an aggregate index begs two major questions: First, is the degree of
internationalization of companies one-dimensional? Second, can we combine
different variables that could potentially have different effects on firm
performance or behaviour into one index?
In this paper, we would like to contribute three points to the ongoing debate.
First, we contend that the method of measuring the degree of
internationalization is contingent on the research question and design. This
refers to the sample of cases one wants to look at and to the assumptions of the
expected effect of internationalization on firms. Second, we argue that
aggregate indices of related variables can be a good measurement of
internationalization, if they consist of coherent components that are
theoretically justified (content validity) and are plausibly constructed (construction
validity). Third, using a sample of the 100 biggest companies in Germany we can
show empirically the existence of two distinct dimensions of the
internationalization of firms.
The rationale for any measurement of the degree of internationalization of a
firm is its potential to help explain important causes and consequences of the
global expansion of firms. Therefore, the validity of measurement has to be
assessed against the background of its potential explanatory power. Rather than
using the degree of internationalization of a firm as a universal device, it
must - at least analytically - be seen in the context of the theoretical
assumptions on which it is based. For example, product cycle theories assume
that the process of internationalization of firms follows a specific pattern
that starts with exports, which is followed by sales activities abroad and then
by production (Johanson and Vahlne 1977; Glaum 1996; Dülfer 1999). In that case,
a firm with a high percentage of foreign employees might be considered to be
more internationalized or in a later stage of internationalization than a firm
with a high percentage of foreign sales.
A similar case can be made with regard to the effects of internationalization on
the performance of a firm. For example, John H. Dunning claims that multiple
location of value-added activities were perceived by management to yield
positive gains (Dunning 1996: 10). Therefore, we can assume that the spread of a
company across many countries might have a linear positive effect. This
contrasts with the results of some studies that found the effect of the
percentage of foreign sales to be possibly curvilinear with declining returns
for companies with a very high percentage of foreign sales (see for example
Gomes and Ramaswamy 1999). In that case, a combination of two components that
are expected to have different effects on the outcome would distort the analysis.
Nevertheless, if the selected variables are expected theoretically to covary
and empirically correlate sufficiently, we think it justified to combine them
into one and to construct an aggregate index. For example, the Product Cycle
Theory of Johanson and Vahlne (Johanson and Vahlne 1977) mentioned above would
suggest that an index might be a better measure since a decline of the share of
foreign sales is not a sufficient indicator for a decline in
internationalization, if the share of foreign assets increases. In that case,
one could assume that the firm has just taken another step in its
internationalization process. On the one hand, an index could overcome the
location of companies on different levels of internationalization and would
generally measure the degree of internationalization. On the other hand, it
might conceal important information about the process of internationalization.
Also, on an aggregate level, to rely solely on a one-dimensional variable for
measuring the degree of internationalization of firms might even be misleading.
In the debate about the degree of globalization of business, some authors have
argued that internationalization is confined to specific geographical and
sectoral segments given the low level of dynamism in the foreign share of sales
and employment (Hirst and Thompson 1996). However, if the process of
internationalization takes firms through different steps, one could expect that
these measures are too one-dimensional to reflect the dynamic process of
internationalization.
Indices on the Degree of Internationalization
Considering the potential gain of an index compared to a variety of single
variables that are vulnerable to unusual events or measurement error, it is
rather surprising that more effort has not been spent on constructing an
internationalization index. Our review of the recent research showed that only
three indices are available in the literature: the Transnationality Index (TNi)
published by UNCTAD, the Transnationality Spread Index (TSi) introduced by
Ietto-Gillies (1998), and the Degree of Internationalization Scale (DOI) of
Sullivan (1994).
The criteria for constructing an index must be based on whether the individual
components of the index are sufficiently complementary so that the combination
of different variables measures something that can be described both
theoretically and empirically. These criteria are not as straightforward as
they sound. The internationalization index of the UNCTAD is made up of an
average term of the foreign share in sales, employment, and assets (FSTS; FETE,
FATA). It is calculated for the 100 largest multinational enterprises (MNEs)
world-wide and published annually in its World Investment Report (UNCTAD 1997;
UNCTAD 1999). Upon closer inspection, factor analysis of the data given in the
UNCTAD report shows, however, that while the foreign share in assets and sales
can be grouped into one factor, the percentage of foreign employees working for
a company cannot be grouped into the same category. There is one potential
reason for this observation: since companies spread their activities all over
the world, the lack of correlation can be due to varying degrees of assets per
employee in different countries. A second reason would be related to the fact
that the 100 biggest companies are based in both large and small countries.
Depending on the size of the home country, foreign direct investments, as
indicated by the foreign share of employees, might vary substantially.
Furthermore, one cannot conclude from a high score that a company's
competitiveness is also high. A high value can also be caused by a small home
country. Not surprisingly, the ten leading MNEs ranked by the TNi are from
small industrial countries, Switzerland, the Netherlands, Belgium, Sweden, and
Canada among them (Ietto-Gillies 1998; UNCTAD 1998). Therefore, due to the
company sample, the Transnationality Index of the UNCTAD does not seem to be
very helpful, while the individual variables can sufficiently describe some
aspects of the degree of internationalization of those firms.
Another important drawback of the Transnationality Index, according to
Ietto-Gillies, is that it only distinguishes between local/national vs. foreign
activities and does not take into account how widely the foreign activities are
spread. Her answer to this problem is the Network-Spread Index (NSi). This
index can be derived by dividing the number of foreign countries in which a
company has affiliates by the total number of countries worldwide in which there
is inward stock of Foreign Direct Investment (FDI) minus 1 (to exclude the home
country). NSi does not provide information about either the volume or the form
of foreign activities by the firm. A combination of both indices - the
transnationality and the network-spread index - is supposed to capture both
dimensions of internationalization: the volume and the dispersion of foreign
activities. Therefore, IettoGillies constructs the Transnationality Spread
Index by calculating TNi * NSi.
Using an index instead of multiple single indicators aims at reducing a large
amount of different indicators without losing important information. The
rank-correlation coefficient of TNi and NSi, analysed for the top 100 MNEs of
the UNCTAD sample is, however, only 0.4 (UNCTAD 1998). Assuming that varying
degrees of NSi go along with different implications for firms' performances and
strategies, it is even less convincing to combine this measure with three other
indicators instead of using it as a single one.
Daniel Sullivan (1994) has developed a third index. The Degree of
Internationalization Scale (DOI) draws upon available data for 74 out of the 100
most international American manufacturing and service firms according to a
Forbes ranking, based on total foreign revenues.
By calculating corrected item-total correlation, he chooses five out of nine
available measures for his scale, reaching a reliability of alpha = .79. The
components of his scale are the following ratios: foreign sales to total sales (FSTS),
foreign assets to total assets (FATA), number of foreign (overseas) subsidiaries
to total number of subsidiaries (OSTS), and amount of top managers'
international experience to years of overall work experience (TMIE). The fifth
element is an estimate of the 'Psychic Dispersion of International Operations' (PDIO),
measured by the dispersion of the subsidiaries of a firm among the ten psychic
zones of the world as defined by Ronen and Shenkar (1985). To get a firm's score
on the internationalization scale, these five ratios are simply added up.
Sullivan has been criticized for combining measures of different levels, i.e.
structural and attitudinal as well as performance-related indicators of
internationalization (Ramaswamy, Kroeck et al. 1996). According to Sullivan, the
mixture supports construct validity because it conforms with theory. According
to his critics, components of different levels could not act as substitutes, as
conveyed by the score. A high degree of one variable could not simply be
replaced by any other high value, regarding the different outcomes on the part
of the dependent variable. We agree with this criticism in so far as such a
multidimensional index is difficult to interpret and hides a number of
potentially relevant variations. Nevertheless, Sullivan's scale is empirically
confirmed by factor analysis.
To sum up, the three indices show that the usefulness of an index depends on the
chosen sample and the object of research, the dependent variable. At first
glance, dealing with national samples seems to have some advantages since one
does not need to control for the size of the home country, etc. Certainly, the
selection of the sample depends on the field of interest.
Regarding continental European firms, we assume - as we will argue below - that
their proximity to international capital markets might have distinct effects on
their behaviour. The internationalization of capital markets must be seen as an
important step in the globalization process. But so far, no consideration has
been taken of a firm's financing or ownership structure when it comes to
measuring the degree of internationalization.
Real and Financial Dimensions of Internationalization
In order to construct indices that are based on coherent but distinct components,
we decided to distinguish between the share of foreign activities of companies,
on the one hand, and the degree to which they orient themselves toward
international capital markets, on the other. We refer to the share of foreign
activities as the real dimension of internationalization and the orientation
toward international capital markets as the financial dimension.
The real dimension of internationalization is very straightforward. Research on
the internationalization of firms has traditionally focussed on the role of
foreign direct investments and the location of production. By definition,
multinational enterprises control and manage production establishments - plants
- in more than two countries (Caves 1996). Clearly, the most visible and
important aspect of the internationalization of firms is their decision to
invest in cross-border production activities rather than selling their rights to
other firms in foreign markets (Dunning 1998). Given the fact that the decision
to invest and produce goods across borders is the most important criteria for
the internationalization of firms, measuring internationalization has usually
also concentrated on the foreign share in real activities of the firm, such as
sales, assets, and employees.
Finance-oriented research has frequently focussed on the impact of
foreign-exchange rates on investment decisions (Blonigen 1997; Caves 1998). Some
studies have looked into the role of local borrowing by foreign subsidiaries (Caves
1998). No study so far has looked at the extent to which a company
internationalizes its financing or ownership structure by approaching
international capital markets. However, in particular with regard to continental
European firms, there might be good reason for taking financial and ownership
variables into account.
As research on comparative corporate governance and corporate ownership
structures has established, there are a range of institutional reasons why
corporate ownership patterns vary widely between countries (Pedersen and Thomsen
1997; Porta, Lopez-de-Selanes et al. 1998). In particular, corporate governance
institutions on the Continent have been seen to constrain dispersed ownership
and to enable a high degree of managerial control over the firm. At the same
time, in these countries the rate of market capitalization is low, and a market
for corporate takeovers hardly exists (OECD 1995).
Differences in the structure of ownership and financing patterns have proven to
impact company behaviour and performance. The effect of ownership structure on
firm performance was shown for French MNEs (Riahi-Belkaoui 1996). Also, the
distribution of net value added in continental European firms varies greatly
from Anglo-Saxon firms. It has been shown that in Continental firms,
shareholders receive a much lower share of net value added compared to
Anglo-Saxon firms, while the share paid to employees is substantially higher (Jong
1997). It is therefore fair to assume that corporate ownership structure will in
itself have an impact on firm behaviour.
Due to the perceived rigidities of Continental corporate governance systems and
the assumed dysfunction accompanying them, companies have started to emigrate
from these systems by approaching international capital markets for investors.
This frequently entails the listing of those companies in foreign stock
exchanges and the application of international accounting practices rather than
national standards, but it also means that companies seek communication with
potential international investors. In preparation for greater involvement in
international capital markets, firms have changed their reporting systems.
Increasingly, they report results for segments of the company rather than for
the company as a whole.
When companies approach international capital markets, these strategies are
often accompanied by a stricter appreciation of 'shareholder values' in an
Anglo-Saxon sense. The financial dimension of internationalization also implies
a whole range of changes with regard to management practices, strategic business
restructuring, and business goals. These practices and strategies are often more
directed at the business operations in the home country than at its foreign
activities. One can therefore expect that financial internationalization has
distinctly different implications for the management, labour relations, and the
performance of a firm than does the internationalization of its real activities.
Another reason why it might become increasingly important, not just for
continental European countries, to use the proximity of firms to international
capital markets as an indicator of a financial dimension of internationalization is the rising share of mergers and acquisitions as part of
foreign direct investments. The majority of foreign direct investments today
takes the form of mergers and acquisitions (Wortmann 1999). With the rapid
increase in the number and volume of international mergers, takeovers, and
international firms, the classification of the degree of internationalization
based on the real activities of a firm becomes increasingly difficult. An
indicator of the internationalization of the ownership structure of a firm and
its outlook on international capital markets might become a necessary
complementary tool, if it assesses how international a firm actually is.
Research Method
Research Sample
Since 1978, the Monopolkommission (the German Commission on the concentration of
German industry) has biannually ranked the largest 100 German companies on the
basis of net value added (in Germany). In contrast to sales, which is a more
common variable for ranking companies, net value added has several advantages.
First, it is a more stable factor that enables banks and insurance companies to
be included. Second, it ignores different price developments across industries
that would bias the company sample. Third, net value added can indicate the
vertical integration of different industries. For example, in retailing
companies with a low degree of vertical integration, the ratio of net value
added to sales is frequently lower than in companies in other industries
(Monopolkommission 1998: 153).
The selection criterion itself is size and not foreign sales, as in the studies
of Sullivan (1994), Stopford and Dunning (1983), and Daniels and Bracker (1989).
We therefore expect that some companies do not have any international
involvement, in particular those former public enterprises that were privatized
during the 1980s and 1990s.
The selection by size (measured in value added) produces a bias towards the
largest employers since labour costs are a major component of value added. The
firms in the sample employ 3.7 million people in Germany; about 16 percent of
all employees in the private sector. Similarly, they contribute nearly 18
percent to the gross national product produced in the private sector. In terms
of international activities, the sample covers a proportionally large percentage.
The 100 largest companies in Germany employ about a third of all employees
working for German companies abroad (1.4 million compared to an estimated 3.5
million employees). On average, then, these large companies are much more
internationalized than the average German company.
In our sample, we have 64 manufacturing firms and 36 firms in the service sector.
The manufacturing firms include the chemical sector (11), industrial machinery
(10), the automotive industry (8), electronics (2), and others (33). The
service sector firms are classified under the rubrics of banks (10), insurance
firms (8), retail (10), and general services (8).
Research variables
Based on our assumption that we can distinguish a real dimension of
internationalization, which is measured by the activities of firms abroad, and
a financial dimension, which refers to the proximity of a firm to international
capital markets, we have identified six variables.
Three variables operationalize the real dimension of internationalization. In
the context of distinguishing between performance, structure, and attitude
(Sullivan 1994), the variables measure performance and structure. The most
common measure of internationalization is Foreign Sales as Percentage of Total
Sales (FSTS) (Stopford and Dunning 1983). Most empirical studies that examine
the impact of internationalization on firm performance use the foreign share in
total sales for measuring internationalization (see overview in Sullivan 1994).
Also, FSTS is a component in all internationalization indices of companies
(Sullivan 1994; UNCTAD 1997; Ietto-Gillies 1998). A typical structural measure
is Foreign Employees as Percentage of Total Employees (FETE). This measure is
used by two of the major internationalization indices (UNCTAD 1997;
Ietto-Gillies 1998). The third variable is based on the contribution of Grazia
Ietto-Gillies (Ietto-Gillies 1998) and measures the geographical spread of
activities of firms abroad (SPREAD). The geographical spread of activities
impacts many areas of firms' activities such as the spread of risks, the
opportunities of different locations, and increased power vis-à-vis governments
and labour (Dunning 1996; Ietto-Gillies 1998). It is measured by the number of
countries in which the firm operates. However, there are major difficulties with
the number of countries as with the number of foreign subsidiaries as used by
Sullivan (1994), Stopford and Wells (1972), and Vernon (1972), since reporting
standards on foreign subsidiaries vary greatly in annual reports. Companies with
a large number of foreign subsidiaries operating in 50 or more countries tend to
name only very few in their annual reports, while companies with few foreign
subsidiaries tend to report all of them. Because of the poor quality of the data,
we also took into account other information on international activities reported
by the firm in its annual report and divided the companies into three groups -
labelled high, middle and low - based on the number of countries in which they
operate. High indicates that the firm has operations in more than 16 countries,
middle is between 7 and 16 countries, and low is the category for operations in
less than 7 countries.The financial dimension has not yet been dealt with in
empirical studies. Since it aims at measuring the proximity of the company to
international capital markets, this dimension seeks to identify the extent to
which a firm invites international/foreign capital to participate in it. We
found three variables to be useful in measuring this. First we use the Foreign
Owners as Percentage of Total Ownership (FOTO) to estimate the actual extent of
foreign shareholders of German companies. A high degree of foreign ownership in
firms that are predominantly German is seen as reflecting a high degree of
openness and a closer relationship to international capital markets (Rubach and
Sebora 1998). The second measure of proximity to international capital markets
applied here is the number of listings in foreign stock exchanges (FSE). The
third variable points to the need to communicate effectively with international
investors. It measures whether firms use German accounting rules according to
German commercial legislation or whether they use international accounting
standards, either according to the US General Accepted Accounting Principles (US-GAAP)
or to the International Accounting Standards (IAS). This Accounting Standards
(AS) variable has an ordinal scale.
Data Sources
We calculated FSTS and FETE with data obtained from a project funded by the
German Research Foundation (DFG) on the international mobility of German
companies (Wortmann, Bochum et al. 1997) and from company publications and
annual reports. SPREAD was taken from annual reports. Here the number of
countries and subsidiaries were topped up with other information from the firm
on its international activities. In order to estimate FOTO, we used the foreign
percentage in small holdings as well as large percentages owned by individual
shareholders. Data were provided by the reports of the Monopolkommission as well
as by media reports, annual reports, and the internet. In some cases, the
investor relations departments of the companies themselves contributed
information. The number of listings in stock exchanges outside Germany was
provided by the OnVista Financial Database. Accounting Standards were taken from
annual reports and media reporting. The data on the real dimension of
internationalization are for the year 1996. The data on the financial dimension
refer to 1999.
Data Analysis
From the set of the 100 largest German firms, 14 companies were excluded because
they were subsidiaries of foreign firms themselves. Companies in Germany that
are subsidiaries of other foreign MNEs usually have only a few international
activities and total (100 percent) foreign ownership. They would therefore
severely disturb the distribution of data points. Of the remaining 86 firms,
data were as available on the three variables making up the real dimension for
79 firms and on the three variables making up the financial dimension for 68
firms. Missing data regarding the real dimension were mainly due to unreliable
or non-existing information on geographical spread, while in 17 cases it was not
possible to obtain information on the share of foreign ownership. As expected,
we found eight firms (9 percent) that did not show any indication of having real
internationalization (no foreign sales, no foreign employees, low spread) and
33 firms (38 percent) that did not show any sign of financial
internationalization (no listing in foreign stock exchanges, German accounting
standards, no foreign ownership).
To confirm the assumption that our variables make up two dimensions of
internationalization, we first examined the correlation matrix, calculating the
Pearson correlation coefficient and rank correlation where ordinal scales were
included (Table 1).
|
Table 1 Correlations for the Research Variables
|
|
|
FETE |
FSTS |
SPREAD |
AS |
FSE |
FOTO |
|
FETE |
1.00 |
.725** |
.679** |
.260* |
.295** |
.265* |
|
FSTS |
|
1.00 |
.656** |
.315** |
.346** |
.365** |
|
SPREAD |
|
|
1.00 |
.329** |
.318** |
.306* |
|
AS |
|
|
|
1.00 |
.629** |
.784** |
|
FSE |
|
|
|
|
1.00 |
.589** |
|
FOTO |
|
|
|
|
|
1.00 |
|
**. Correlation is significant at the .01 level (2-tailed)
*. Correlation is significant at the .05 level (2-tailed)
|
Coefficients higher than .5 exist between FETE, FSTS, and SPREAD as well as
between AS, FSE, and FOTO. Therefore, the corrected item-total correlation,
using FETE, FSTS, and SPREAD for the 'real' scale and AS, FSE, and FOTO for the
'financial' scale, was also high. Combining all six items into one scale leads
to considerably lower coefficients for the 'financial' variables (Table 2).
|
Table 2 Corrected Item-Total Correlations
|
|
|
'Real' scale |
'financial' scale |
6 item scale |
|
FETE |
.75 |
|
.63 |
|
FSTS |
.75 |
|
.72 |
|
SPREAD |
.68 |
|
.69 |
|
AS |
|
.77 |
.51 |
|
FSE |
|
.59 |
.47 |
|
FOTO |
|
.65 |
.37 |
We tested the reliability of the two scales 'real' and 'financial'. The alpha
coefficient worked well for the real dimension (alpha = .65 ) but had serious
flaws regarding the financial scale. We assume that this is due to the skewed
distribution of the values. When principal component factor analysis were
applied to the six variables, the results showed - not surprisingly given the
correlation matrix - that two factors were loaded (Table 3).
|
Table 3 Rotated Component Matrix
|
| |
Component /
Loading |
Communality |
| |
1 |
2 |
|
|
FETE |
.906 |
1,000E-01 |
.831 |
|
FSTS |
.866 |
.207 |
.793 |
|
SPREAD |
.813 |
.254 |
.726 |
|
AS |
.112 |
.880 |
.787 |
|
FSE |
.240 |
.733 |
.595 |
|
FOTO |
.188 |
.903 |
.851 |
Extraction Method: Principal Component Analysis. Rotation Method:
Varimax with Kaiser Normalization. Rotation converged in 3 iterations. |
Instead of using the factor score as the degree of real or financial
internationalization, we decided to construct two indices by calculating the
mean of the unweighted z-scores.
REAL = (zFSTS + zFETE + zSPREAD) / 3
FINANCE = (zFOTO + zAS + zFSE) / 3
The results of these indices correlate highly with the factor scores of the
factor analysis (rreal = .975 and rfinance´= .978).
Standardized scores can only be used for ranking purposes within the sample,
making it impossible to make comparisons either over time or between different
samples. Therefore, we constructed a further index for the real dimension using
absolute values:
REALuni = (FSTS + FETE) * SPREAD
It is theoretically justified to use the SPREAD-indicator as a multiplier for
the sum of foreign activities, expressed as the share of foreign sales plus the
share of foreign employment. The results of REALuni almost replicate the ranking
of REAL (rank correlation coefficient: .99). The finance variables, however, are
based on different scales, both theoretically and statistically. We could not
find a suitable combination of unstandardized values that would lead
to an interpretable index. Therefore, we gave up the idea of a financial index
that is comparable over time. Testing the correlation between REAL, REALuni, and
each of the three constructing items, as well as between FINANCE and each of its
three components also leads to satisfactory results (Table 4).
|
Table 4 Item - Total - Correlations
|
| |
FETE |
FSTS |
SPREAD |
AS |
FSE |
FOTO |
|
REAL |
.901** |
.894** |
.838** |
|
|
|
|
REALuni |
.880** |
.922** |
.801** |
|
|
. |
|
FINANCE |
|
|
|
.899** |
.823** |
.899** |
The rank correlation coefficients are fairly similar. The company rankings on
different indicators and on the three scales are given in Tables 5 and 6 for
those 25 companies that scored highest on each of the two dimensions.
Table 5 Company Rankings on Three
Estimators of the Degree of Real Internationalization of a Firm
(highest
25 ranks out of 86) |
|
Company |
REAL |
REALuni |
SPREAD |
FSTS |
FETE |
|
Boehringer Sohn C.H. |
1 |
1 |
High |
4 |
3 |
|
Hoechst AG |
1 |
2 |
High |
3 |
5 |
|
Henkel KG |
3 |
4 |
High |
8 |
2 |
|
Schering AG |
4 |
3 |
High |
1 |
11 |
|
Bayer AG |
5 |
5 |
High |
2 |
13 |
|
Franz Haniel & Cie. GmbH |
6 |
6 |
High |
13 |
4 |
|
SAP AG |
7 |
7 |
High |
6 |
15 |
|
Beiersdorf AG |
8 |
8 |
High |
19 |
6 |
|
Bertelsmann AG |
9 |
9 |
High |
17 |
8 |
|
Freudenberg & Co. KG |
10 |
10 |
High |
15 |
10 |
|
BMW AG |
11 |
11 |
High |
9 |
22 |
|
BASF AG |
12 |
12 |
High |
7 |
28 |
|
Bosch, Robert GmbH |
13 |
13 |
High |
24 |
18 |
|
Siemens AG |
14 |
14 |
High |
23 |
21 |
|
Allianz AG |
15 |
16 |
High |
29 |
12 |
|
Linde AG |
16 |
15 |
High |
21 |
24 |
|
Bosch-Siemens Hausgeraete GmbH |
17 |
17 |
High |
27 |
23 |
|
Carl-Zeiss-Stiftung |
18 |
18 |
High |
10 |
33 |
|
Bilfinger + Berger Bau-AG |
19 |
26 |
Middle |
36 |
1 |
|
Continental AG |
20 |
25 |
Middle |
14 |
9 |
|
Mannesmann AG |
21 |
19 |
High |
26 |
29 |
|
Metallgesellschaft AG |
22 |
20 |
High |
11 |
42 |
|
Degussa AG |
23 |
27 |
Middle |
5 |
27 |
|
Daimler-Benz AG |
24 |
21 |
High |
22 |
38 |
|
Wacker-Chemie GmbH |
25 |
22 |
High |
16 |
45 |
|
Table 6 Company Rankings on Three Estimators
of the Degree of Financial Internationalization
of a Firm (highest 25 ranks out
of 86)
|
|
Company |
FINANCE |
AS |
FSE |
FOTO |
|
Bayer AG |
1 |
IAS |
1 |
4 |
|
Hoechst AG |
2 |
IAS |
3 |
3 |
|
Deutsche Bank AG |
3 |
IAS |
4 |
7 |
|
Daimler-Benz AG |
4 |
US-GAAP |
6 |
10 |
|
Mannesmann AG |
5 |
IAS |
11 |
2 |
|
Dresdner Bank AG |
6 |
IAS |
5 |
17 |
|
Siemens AG |
7 |
US-GAAP |
8 |
8 |
|
BASF AG |
8 |
US-GAAP |
6 |
14 |
|
VEBA AG |
9 |
US-GAAP |
9 |
6 |
|
Metallgesellschaft AG |
10 |
US-GAAP |
27 |
1 |
|
Deutsche Telekom AG |
11 |
US-GAAP |
11 |
5 |
|
Schering AG |
12 |
IAS |
13 |
7 |
|
BMW AG |
13 |
IAS |
13 |
12 |
|
Commerzbank AG |
14 |
IAS |
27 |
8 |
|
VIAG AG |
15 |
IAS |
13 |
21 |
|
RWE AG |
16 |
IAS |
13 |
23 |
|
Allianz AG |
17 |
IAS |
13 |
25 |
|
Linde AG |
18 |
IAS |
27 |
13 |
|
Thyssen AG |
19 |
US-GAAP |
13 |
26 |
|
Metro Holding AG |
20 |
IAS |
21 |
20 |
|
Deutsche Lufthansa AG |
21 |
IAS |
27 |
15 |
|
MAN AG |
22 |
IAS |
13 |
27 |
|
Degussa AG |
23 |
US-GAAP |
21 |
26 |
|
Preussag AG |
24 |
IAS |
27 |
19 |
|
Muenchener Rueckversicherungsgesell. AG |
25 |
IAS |
27 |
22 |
Finally, we looked at the correlation between REAL and FINANCE. The rank
correlation coefficient turned out to be r = .41, low enough to assume that
these two indices might indeed catch two different dimensions.
Eighteen companies of our sample are not stock corporations (Aktiengesellschaft)
but have the legal status of being limited liability companies (GmbH). One could
argue that - because of their legal structure - they have a higher institutional
barrier against access to international capital markets. In order to exclude
this institutional effect, we repeated the statistical tests for the sample of
corporations only. As we expected, the correlation between REAL and FINANCE
increased by excluding those cases where the access to capital markets is
restricted but the possibility to internationalize their activities is not (r =
.60, N = 49). Nevertheless, factor analysis led to the same conclusion as it
had for the whole sample. Therefore, even under tighter conditions we still find
proof of two distinct dimensions of internationalization.
Discussion: Two Dimensions of Internationalization
The statistical tests have shown that it is justified to group our variables
around a real dimension of internationalization and a financial dimension. The
choice of variables was based on their measurement goal of each dimension. The
foreign percentage found among employees and in sales, and the number of
countries in which a firm operates sought to measure the physical dispersion of
economic activities of MNEs around the world; the number of foreign stock
exchange listings, the use of international versus national accounting standards
and the percentage of foreign shareholders were meant to measure the proximity
of the company to international capital markets. Thus, the choice of indicators
for constructing the two indices was based on the theoretical expectation of the
grouping of variables and not on the empirical results of the factor analysis.
At the same time, factor analysis and rank correlation supported the claim that
the two indices measure two distinct dimensions of the internationalization of
firms. However, one has to be aware that these observations on the financial
dimension of the internationalization of firms might only work for German or
continental European firms. Since the measurement focuses on the proximity of
those firms to standards in international capital markets (listings in foreign
stock exchanges, international accounting standards), the index on the financial
dimension of internationalization takes an Anglo-Saxon financing behaviour as a
benchmark for internationalization. Firms based in the US or the UK have long
lived up to these standards. Therefore, the index measures the distance between
continental European practices and international (Anglo-Saxon) standards.
The empirical results are plausible when looking at the type of firms that have
either a high degree of real or of financial internationalization (see Figure
1). Six out of the top ten firms with the highest degree of real
internationalization are chemical companies. The chemical sector has
traditionally been the most internationalized sector in German industry (Lane
1998). On the one hand, the dimension of real internationalization therefore
captures the main components of the traditional path toward internationalizing
the activities of firms. On the other hand, we find among the ten firms with the
greatest financial internationalization that at least four were involved in the
biggest cross-border mergers in recent years. These include the merger between
Daimler and Chrysler into DaimlerChrysler in 1998, the merger of the French
chemical firm Rhone-Poulenc and Hoechst into Aventis in 1999, the takeover of
Bankers Trust by the Deutsche Bank, and the takeover of the telecommunications
company Mannesmann by the British firm Vodafone in 2000. These observations
confirm our claim that the index can identify those companies preparing to
become active players in the international merger and acquisition market.

(to enlarge please click on the figure)
We can also show that some companies, such as the chemical firms Bayer and
Hoechst, internationalize financially as well as through their real activities,
but that other companies can pursue only one of these dimensions. Some of the
firms with the highest degree of real internationalization are still family
owned and therefore financially domesticated (i.e. Freudenberg). Others approach
international capital markets while still focussing their real economic
activities on Germany. Interesting examples for the latter group are formerly
state-owned firms such as the telephone company Telekom AG and the two formerly
state-owned energy firms VEBA AG and RWE AG, which have since turned into
diversified industrial conglomerates. In order to adjust these companies to
their new business environment, management also pursues a very active 'Shareholder
Value' corporate strategy in which intensive communication with important
participants in international capital markets is an integral part.
The distinction between a real and a financial dimension of internationalization
is thus not only theoretically and empirically sound, but might also point to a
way of capturing new developments in international business research that have
become fundamentally important. Since researchers estimate that 70 percent of
all foreign direct investments today take the form of mergers and acquisitions
and are not genuinely new investments into the host countries, the importance
of the takeover market will have to be reflected in studies on
internationalization in the future (Wortmann 1999).
Conclusion
In the debate on how to measure the degree of internationalization of firms, far
too little attention has been paid to the fact that the degree of
internationalization is contingent on both the changing nature of international
business and the sample for which the measurement is used. Can there be a
universal index for measuring internationalization that is not tied to these
contingencies?
The findings of our research would suggest that the answer to this question is
'no'. There does not seem to be any way to avoid acknowledging that the changing
nature of international business will not allow a universal measurement of the
degree of internationalization of firms. For instance, product cycle theory
suggests that the internationalization of real activities by multinational
firms follows a pattern consisting of certain stages. This implies that
one-dimensional measures would only measure the degree of one stage (i.e. sales),
which have to be supplemented with other indicators (i.e. assets or employment).
At the same time, it remains questionable whether these indicators can be
combined into a single index since not all companies go through all the stages
of internationalization nor do all companies follow the same pattern. Moreover,
our own research has shown that there are dimensions of internationalization
that do not covary with the internationalization of real activities of MNEs.
Since financial internationalization does not follow the same motives as real
internationalization, it does not follow the logic of product cycle theory.
A combination of real and financial components in one index would therefore
seriously distort the measurement of internationalization. Nevertheless, a
theoretically justified and empirically grounded separation of different
dimensions of internationalization can solve the problem. Factor analysis and
other statistical tests are suitable tools to support this claim. Different
degrees of different dimensions measuring internationalization might be the best
quality of measurement available.With regard to international comparative
research, the situation is even more complicated. Some indicators are
particularly sensitive to the size of the home country of the firm, others are
not. Big firms based in small countries will automatically have a higher share
of their activities abroad. Yet this in itself does not say much about the
performance or behaviour of those firms compared to firms from larger countries.
Any study seeking to include firms from a number of different countries will
have to take into account the country effect. While single variables might work
for measuring a certain type of internationalization of firms across countries
(i.e. share of foreign ownership), a combination of various indicators might
distort the results.
Therefore, one probably has to concede a tradeoff between the advantage of a
comprehensive index that might cure measurement problems and the potential of a
universal application of such an index. As we have tried to show, there is a
wide range of possibilities with great explanatory potential somewhere between
the two poles of a universal index and a multitude of individual variables. References
Blonigen, B. A. 1997 'Firm-specific assets and the link
between exchange rates and foreign direct investment', American Economic Review
87(3): 447-65.
Caves, Richard E. 1996 Multinational enterprise and economic analysis,
Cambridge: Press Syndicate of the University of Cambridge.
- 1998 'Research on International Business: Problems and Prospects', Journal of
International Business Studies 29(1): 5-19.
Daniels, John D. and Bracker, John 1989 'Profit performance: Do foreign
operations make a difference?', Management International Review 29(1): 46-56.
Dülfer, Eberhard 1999 Internationales Management in unterschiedlichen
Kulturbereichen, München/ Wien: Oldenbourg.
Dunning, John H. 1996 'The geographical sources of the competitiveness of firms:
some results of a new survey', Transnational Corporations 5(3): 1-29.
- 1998 'Location and the Multinational Enterprise: A Neglected Factor?',
Journal of International Business Studies 29(1): 45-66.
Glaum, Martin 1996 Internationalisierung und Unternehmenserfolg, Wiesbaden:
Gabler.
Gomes, Lenn and Ramaswamy, Kannan 1999 'An Empirical Examination of the Form of
the Relationship Between Multinationality and Performance', Journal of
International Business Studies 30(1).
Hirst, Paul and Thompson, Graham 1996 Globalisation in Question. The
International Economy and the Possibility of Governance, Cambridge: Polite
Press.
Ietto-Gillies, Grazia 1998 'Different Conceptual Frameworks for the Assessment
of the Degree of Internationalization: an Empirical Analysis of the Various
Indices for the top 100 Transnational Corporations', Transnational Corporations,
7: 17-39.
Johanson, Jan and Vahlne, Jan-Erik 1977 'The Internalization Process of the Firm
- A Model of Knowledge Development and Increasing Foreign Market commitments',
Journal of International Business Studies 8(1): 23-32.
Jong, Henk Wouter de 1997 'The Governance Structure and Performance of large
European Corporations', Journal of Management and Governance 1(1): 5-27.
Lane, Christel 1998 'European companies between globalization and localization:
a comparison of internationalization of British and German MNCs', Economy and
Society, Routledge 27: 462-485.
Monopolkommission 1998 Marktöffnung umfassend verwirklichen. Zwölftes
Hauptgutachten der Monopolkommission gemäß § 24b Abs. 5 Satz 1 GWB,
Baden-Baden: Nomos.
OECD 1995 'Financial Markets and Corporate Governance', Financial Market Trends
62(December): 13-35.
Pedersen, Torben and Thomsen, Steen 1997 'European patterns of corporate
ownership: a twelfe country study', Journal of International Business
Studies(4): 759-778.
Porta, Rafael La, Florencio Lopez-de-Selanes, et al. 1998 Corporate Ownership
around the World, Camebridge: National Bureau of economic Research.
Ramaswamy, Kannan, Galan K. Kroeck, et al. 1996 'Measuring the Degree of
Internalization of a Firm: A Comment', Journal of International Business Studies
27: 167-177.
Riahi-Belkaoui, Ahmed 1996 'Internationalization, Diversification Strategy and
Ownership Structure: Implications for French MNE Performance', International
Business Review 5(4): 367-376.
Ronen, Simcha and Shenkar, Oded 1985 'Clustering countries on attitudinal
dimensions: A review and synthesis', Academy of Management Review 10(3):
435-454.
Rubach, Michael J. and Sebora, Terrence C. 1998 'Comparative Corporate
Governance', Journal of World Business 33(2): 167-184.
Stopford, John M. and Dunning, John H. 1983 'The world directory of the
multinational enterprises 1982-83', Detroit Michigan: Gale Research Company.
Sullivan, Daniel 1994 'Measuring the Degree of Internalization of a Firm',
Journal of International Business Studies 25: 325-342.
Sullivan, Daniel 1996 'Measuring the Degree of Internalization of a Firm: a
reply', Journal of International Business Studies 27: 179-192.
UNCTAD 1997 World Investment Report 1997. Transnational Corporations, Market
Structure and Competition Policy, New York, Geneva: United Nations.
- 1998 World Investment Report 1998. Trends and Determinants, New York, Geneva:
United Nations.
- 1999 World Investment Report 1999. Foreign Direct Investment and the
Challenge of Develop-ment, New York, Geneva: United Nations.
Wortmann, Michael, Ulrich Bochum, et al. 1997 Globalisierung und internationale
Mobilität deutscher Industrieunternehmen.
Wortmann, Michael. 1999 'Externes und internes Auslandswachstum multinationaler
Unternehmen - Empirische Befunde und theoretische Implikationen' in Michael H.
Stierle (ed.) 'Globalization: Effects on enterprises, employment and government',
Tagungsband zur INFER - Jahrestagung 1999, VWF Berlin: 111-130.
Copyright © 2001 Anke Hassel, Martin Höpner, Antje
Kurdelbusch, Britta Rehder and Rainer Zugehör
No part of this publication may be reproduced or transmitted without
permission in writing from the author.
Jegliche Vervielfältigung und
Verbreitung, auch auszugsweise, bedarf der Zustimmung des Autors.
MPI für Gesellschaftsforschung, Paulstr. 3, 50676 Köln, Germany
|