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REGIONAL COOPERATION AND ECONOMIC INTEGRATION

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FDI FLOWS IN SOUTH EASTERN EUROPE<br />

On the basis of the data for the above mentioned variables for the period 1999-2007 and<br />

by applying the econometric software package EViews 6, we have obtained the following<br />

results:<br />

Table 2: Determinants of FDI: Dependent variable= FDI stock per capita in year t<br />

variable Model 1 Model 2 Model 3 Model 4 Model 5<br />

LOG(GDPPC)<br />

WAGEDIF<br />

LOG(DIST)<br />

LOG(MOBILE)<br />

0.544284<br />

(0.158372) ***<br />

0.000577<br />

(0.000141) ***<br />

-1.784674<br />

(0.314970) ***<br />

0.406643<br />

(0.096818)***<br />

0.534746<br />

0.164444***<br />

0.000569<br />

0.000188***<br />

-1.217531<br />

0.783777<br />

0.380709<br />

0.106024***<br />

-0.005045<br />

0.304262<br />

0.000567<br />

0.000174***<br />

-0.790082<br />

0.754567<br />

0.245301<br />

0.118284*<br />

0.152342<br />

0.295630<br />

0.000222<br />

0.000322 *<br />

0.601180<br />

0.934152<br />

0.258726<br />

0.295341<br />

-0.162915<br />

0.322514<br />

0.000211<br />

0.000298<br />

0.128269<br />

0.900880<br />

0.303610<br />

0.274075<br />

SECONDARY<br />

CPI<br />

LOG(TROPEN)<br />

RANKING<br />

LOG(FDIPC(-1))<br />

NEG<br />

0.007332<br />

(0.024770)<br />

0.002866<br />

0.027337<br />

-0.001726<br />

0.004300<br />

0.723016<br />

0.905690<br />

0.010321<br />

0.025552<br />

0.002953<br />

0.004587<br />

0.007846<br />

0.019725<br />

0.042107<br />

0.020554*<br />

0.004429<br />

0.022699<br />

-0.000567<br />

0.004731<br />

1.792446<br />

0.998653*<br />

0.003639<br />

0.023487<br />

0.382394<br />

0.193472*<br />

0.004923<br />

0.020983<br />

-0.001824<br />

0.004426<br />

1.421671<br />

0.944801<br />

0.012692<br />

0.022260<br />

0.322671<br />

0.181750*<br />

0.327494<br />

0.177960*<br />

Adjusted R 2 0.940018 0.935857 0.945095 0.952488 0.959408<br />

Standard errors are presented in brackets below coefficients. ***,**,*, indicate statistical<br />

significance at level of 1%, 5% and 10% respectively.<br />

How are the above obtained econometric results interpreted<br />

The model (1) in the second column of Table 2e explains the variations of FDI stock<br />

per capita as a result of the classical FDI determinants. This model shows that market<br />

size expressed as GDP per capita, labour costs, transportation costs and infrastructure play<br />

important role in attracting FDI from EU to the EU candidate countries. When it comes to<br />

labour costs, a negative correlation is found between wage difference as a proxy for labour<br />

costs and FDI in our model which is consistent with the theoretical expectations that FDI is<br />

driven by lower labour costs. This is in case when vertical FDI is dominant. The coefficient<br />

of the variable secondary school enrolment rate is not statistically significant, so that we<br />

can conclude that FDI in these countries are not looking for skilled workers, but are mainly<br />

driven by cheap labour force. The distance (DIST) confirms the former expectations i.e.<br />

it affects inversely the level of FDI. In the estimated model, the coefficient of the variable<br />

283

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