REGIONAL COOPERATION AND ECONOMIC INTEGRATION
REGIONAL COOPERATION AND ECONOMIC INTEGRATION REGIONAL COOPERATION AND ECONOMIC INTEGRATION
FDI FLOWS IN SOUTH EASTERN EUROPE stocks per capita held by EU member countries in the above mentioned period was recorded in Turkey with only EUR 86.73 in 1999 and EUR 683.81 in 2007. Figure 5: EU FDI outward stocks in the EU - candidate countries per capita and their annual growth rate, 1999-2007 (in EUR) 4000,00 141.14% 3500,00 3000,00 2500,00 2000,00 142.46% 143.57% 1500,00 1000,00 500,00 0,00 109.29% 129.83% 129.78% 140.58% 121.82% 146.87% 260.48% 109.12% 150.10% -78.66% 111.60% 140.25% 167.22% 125.59% 123.73% 133.88% 118.04% 250.64%. 138.86% 125.01% -81.64% 1999 2000 2001 2002 2003 2004 2005 2006 2007 Macedonia Croatia Turkey Source: Eurostat, Statistics in focus 68/2008 and NBRM and author’s own calculations The increase of EU outward flows to the EU candidate countries in the last five-six years raises the issue of the sustainability of these inflows and to what extent, they are a result of the improved macroeconomic conditions, on one hand and the progress that EU candidate countries achieved in the EU enlargement process, on the other hand. 2. Determinants of foreign direct investments from the EU member states to the EU candidate countries A number of economic theories and perspectives have been developed to explain the determinants of FDI since the late 1950s, when the topic started to receive scholarly attention. The main FDI theories range from the mainstream economic theories, internalization models to Dunning’s eclectic paradigm. With reference to the empirical studies, they have investigated the impact of locationspecific determinants of FDI on the FDI location decision into and within the United States, the EU or, more recently, China. Rather less attention has been devoted to the South-Eastern European countries, with several authors (Lankes, H.P. and Venables, A., 1996 and Meyer, K.E. 1998) simply reporting aggregate data or using case study and survey methods, and relatively few econometric studies.(Lansbury et.al., 1996, Holland, D. and Pain, N., 1998, Resmini, L., 2000, Campos, N. and Y. Kinoshita, 2003, Bevan, A.A. and Estrin S., 2004, Botric, V. and Skuflic, L., 2005, and Grosse, R. and Trevino, L.J., 2005). The purpose of this paper is to enrich the econometric research of the FDI determinants by empirical estimation of the most significant factors that have determined past decisions of the EU investors and those that will influence their future decisions to invest in the EU candidate countries. In order to investigate the determinants of foreign direct investments to EU candidate countries, we use annual data on EU FDI outward stocks per capita in EU candidate countries in the period between 1999 and 2007. The selection of variables is based on the economic literature as well as previous empirical research of the determinants of FDI in South-eastern European countries. The econometric models will be estimated using the ordinary least square (OLS) method. The paper explores the impact of the classical independent variables (market size, labour costs, quality of labour force, infrastructure and transportation costs), policy variables 279
PART V: (macroeconomic stability and openness of the economy), non-economic factors, such as governance, agglomeration effect and the effect of EU accession on EU FDI outward stock per capita in the EU candidate countries. GDP per capita serves as a measure of market size. The size of the market is an important factor for attracting FDI flows. However, Botric and Skuflic (2005) have found out that the size of the market does not have a significant impact on the FDI flows to the South-Eastern European countries. Labour costs are another important FDI determinant. Cheap labour is of particular interest for the EU-27 countries which wage levels are high and which companies look for reduction of costs by relocating production to countries where resources are available at a lower cost. Therefore, there could be also a positive correlation between FDI and labour costs. Foreign investors should be concerned not only with the labour costs, but also with the quality of labour, since high sill workers can learn and implement new technology and the training costs would be in that case considerably lower Availability of good infrastructure is a necessary condition for any type of FDI. Among the several candidates for the infrastructure variable we have chosen the number of mobile cellular subscriptions per 100 people. According to the gravity model, proximity to the home country is an important factor for explaining the trade volumes between countries. Since FDI flows are closely related to trade flows we can apply the analogous argument for the FDI. Further geographical distance between the home and host country markets implies higher transportation cots. We expect that the more FDI from EU will be directed to the EU candidate countries with larger market size, lower labour cost, higher educated labour force, better infrastructure and closer to EU. However, investment decisions are also influenced by economic and political stability. For the macroeconomic stability, we add the policy variable consumer price index as a measure of inflation. A track of low inflation is a clear signal to foreign investors how successful the host country is and thus the prospect of further growth. On the other hand, higher return on investment boosts FDI and as a result of that the increase of prices of products in which the foreign investor invested, should be positively correlated to the FDI. Therefore we can not predetermine the expected sign of inflation rate. Another important determinant of FDI that can be assessed within the overall economic policies is the external liberalization. For this, we use the variable trade openness measured as a ratio of export and import to GDP. According to Basar and Tosunoglu (2005) a country can attract more FDI if the ratio between the foreign trade (import and export) and GDP is higher. Other authors, Caves (1996) and Singh and Jun (1996) doubt in the existence of relation between the FDI and the openness of the economy. For our group of the three EU candidate countries, we expect the openness of the economy to have positive impact on FDI flows to the EU candidate countries. Non-economic factors, such as governance, also influence the decisions of foreign investors. To assess the governance, we use the variable Euromoney country risk ranking. The better country ranking implies that the country is more attractive for FDI. Deichman (2001) and Bevan and Estrin (2000) found a significant positive relationship between the country risk and FDI. 280
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PART V:<br />
(macroeconomic stability and openness of the economy), non-economic factors, such as<br />
governance, agglomeration effect and the effect of EU accession on EU FDI outward stock<br />
per capita in the EU candidate countries.<br />
GDP per capita serves as a measure of market size. The size of the market is an important<br />
factor for attracting FDI flows. However, Botric and Skuflic (2005) have found out that the<br />
size of the market does not have a significant impact on the FDI flows to the South-Eastern<br />
European countries.<br />
Labour costs are another important FDI determinant. Cheap labour is of particular interest<br />
for the EU-27 countries which wage levels are high and which companies look for reduction<br />
of costs by relocating production to countries where resources are available at a lower cost.<br />
Therefore, there could be also a positive correlation between FDI and labour costs.<br />
Foreign investors should be concerned not only with the labour costs, but also with the<br />
quality of labour, since high sill workers can learn and implement new technology and the<br />
training costs would be in that case considerably lower<br />
Availability of good infrastructure is a necessary condition for any type of FDI. Among the<br />
several candidates for the infrastructure variable we have chosen the number of mobile cellular<br />
subscriptions per 100 people.<br />
According to the gravity model, proximity to the home country is an important factor for<br />
explaining the trade volumes between countries. Since FDI flows are closely related to trade<br />
flows we can apply the analogous argument for the FDI. Further geographical distance between<br />
the home and host country markets implies higher transportation cots.<br />
We expect that the more FDI from EU will be directed to the EU candidate countries with<br />
larger market size, lower labour cost, higher educated labour force, better infrastructure<br />
and closer to EU.<br />
However, investment decisions are also influenced by economic and political stability. For<br />
the macroeconomic stability, we add the policy variable consumer price index as a measure<br />
of inflation. A track of low inflation is a clear signal to foreign investors how successful the<br />
host country is and thus the prospect of further growth. On the other hand, higher return on<br />
investment boosts FDI and as a result of that the increase of prices of products in which the<br />
foreign investor invested, should be positively correlated to the FDI. Therefore we can not<br />
predetermine the expected sign of inflation rate.<br />
Another important determinant of FDI that can be assessed within the overall economic<br />
policies is the external liberalization. For this, we use the variable trade openness measured<br />
as a ratio of export and import to GDP. According to Basar and Tosunoglu (2005) a country<br />
can attract more FDI if the ratio between the foreign trade (import and export) and GDP<br />
is higher. Other authors, Caves (1996) and Singh and Jun (1996) doubt in the existence of<br />
relation between the FDI and the openness of the economy. For our group of the three EU<br />
candidate countries, we expect the openness of the economy to have positive impact on<br />
FDI flows to the EU candidate countries.<br />
Non-economic factors, such as governance, also influence the decisions of foreign investors. To<br />
assess the governance, we use the variable Euromoney country risk ranking. The better country<br />
ranking implies that the country is more attractive for FDI. Deichman (2001) and Bevan and<br />
Estrin (2000) found a significant positive relationship between the country risk and FDI.<br />
280