THE DETERMINANTS OF FDI IN SIX FORMER FSU COUNTRIES: A STUDY OF DATA 1995–2017

Vijay SHENAI, Artem SHCHERBYNA, Sergei VORONIN, Dmitriy OLKHOVSKYY

Анотація


Foreign Direct Investment (FDI) can bring in much needed capital, particularly in emerging markets, help improve manufacturing and trade sectors, bring in more efficient technologies, increase local production and exports, create jobs and develop local skills, bring about improvements in soft and hard infrastructure and overall be a contributor to sustainable economic growth in the Gross Domestic Product (GDP). With all these desirable features, it becomes relevant to ascertain the factors which attract FDI to an economy or a group of adjacent economies. This paper explores the determinants of FDI in six Former Soviet Union (FSU): Ukraine, Belarus, Armenia, Russia, Moldova and Kazakhstan. After an extensive literature review of theories and empirical research and using a set of cross-sectional data over the period 1995–2017, an ARDL model is estimated with FDI/GDP as the dependent variable. Inflation, exchange rate changes, openness, economy size (GDP), Income levels (GNI per capita), Infrastructure (measured by the number of fixed line and mobile subscription per 100 persons) are tested as independent variables for explanatory power in long run and short run relationships. Over the period, higher inflows of FDI in relation to GDP appear to be have been attracted to the markets with better infrastructure, smaller markets and higher income levels, with lower openness, depreciation in the exchange rate and higher income levels though the coefficients of the last three variables are not significant. The results show the type of FDI attracted to investments in this region and are evaluated from theoretical and practical view points. Policy recommendations are made to enhance FDI inflows and further economic development in this region. Such a study of this region has not been made in the past.

JEL: C21, F21, F23.


Ключові слова


Determinants of FDI; FDI flows; cross-sectional analysis; FSU.

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DOI: https://doi.org/10.35774/jee2020.01.140

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