Evidence on the Determinants of Foreign Direct Investment: The Case of Three European Regions



According to the previous inequality, horizontal FDI will be more likely when transport costs
are high, plant fixed costs low and wages low. By manipulating algebraically this inequality and
following Markusen (2002), Feenstra (2004) proves that such inequality holds also for high level of
GDP, especially when they are similar across region
i and region j. Moreover, such an inequality is
likely to hold when the relative endowment in human capital (high and medium skilled workers) is
high and similar across regions.5

This shows briefly the theoretical motivation that makes firms prefer direct investment to
export. After having established these theoretical arguments, we carry on with an empirical analysis in
order to assess the weight of those factors in determining FDI inflows.

3.2 Descriptive statistics

3.2.1 Market size and economic potential: some evidence

All our regions are strong economic powers within their respective countries without
possessing the traditional attributes that come with central political power. Nevertheless, there are
some differences among them. Baden-Württemberg and Lombardia are significantly more populated
than Catalunya (see Table 5). They are also wealthier. Baden-Württemberg is the richest of the three
regions as measured by GDP per capita over the period 1995-2002 (Figure 3). Then comes Lombardia
followed by Catalunya close to the EU average. A convergence among these three regions towards the
EU average standard of living can be observed (Figure 3). This means that the growth rate of GDP per
capita in Catalunya has been higher than the two other regions’.

Table 4: Fact sheet of three European regions

(Source EUROSTAT and regional institutes of statistics - Calculus: Authors)

Population (2002)

Area
(sq km)

GDP in 2002
(€ millions)

GDP per capita in 2002
(€)

Catalunya__________

6 240 368

31 930

127 993

20 652

Baden-Württemberg

10 600 906

35 751

311 980

_______29 347_______

Lombardia________

9 108 645

23 863

260 223

_______28 687________

5 Intuitively, we can justify this effect by looking at the increase in productivity of the unique input, labor.



More intriguing information

1. Trade Liberalization, Firm Performance and Labour Market Outcomes in the Developing World: What Can We Learn from Micro-LevelData?
2. EFFICIENCY LOSS AND TRADABLE PERMITS
3. Environmental Regulation, Market Power and Price Discrimination in the Agricultural Chemical Industry
4. Announcement effects of convertible bond loans versus warrant-bond loans: An empirical analysis for the Dutch market
5. Disturbing the fiscal theory of the price level: Can it fit the eu-15?
6. The name is absent
7. AGRIBUSINESS EXECUTIVE EDUCATION AND KNOWLEDGE EXCHANGE: NEW MECHANISMS OF KNOWLEDGE MANAGEMENT INVOLVING THE UNIVERSITY, PRIVATE FIRM STAKEHOLDERS AND PUBLIC SECTOR
8. Non Linear Contracting and Endogenous Buyer Power between Manufacturers and Retailers: Empirical Evidence on Food Retailing in France
9. The Modified- Classroom ObservationScheduletoMeasureIntenticnaCommunication( M-COSMIC): EvaluationofReliabilityandValidity
10. The Functions of Postpartum Depression
11. Spatial agglomeration and business groups: new evidence from Italian industrial districts
12. Peer Reviewed, Open Access, Free
13. The Environmental Kuznets Curve Under a New framework: Role of Social Capital in Water Pollution
14. The name is absent
15. Who runs the IFIs?
16. The Complexity Era in Economics
17. What Lessons for Economic Development Can We Draw from the Champagne Fairs?
18. The name is absent
19. The name is absent
20. AN ANALYTICAL METHOD TO CALCULATE THE ERGODIC AND DIFFERENCE MATRICES OF THE DISCOUNTED MARKOV DECISION PROCESSES