Is Russia successful in attracting foreign direct investment? Evidence based on gravity model estimation

Artikel

The aim of this paper is twofold. First, it is to answer the question of whether Russia is successful in attracting foreign direct investment (FDI). Second, it is to identify partner countries that “overinvest” and “underinvest” in the Russian economy. We do this by calculating potential FDI inflows to Russia and comparing them with actual values. This research is associated with the empirical estimation of factors explaining FDI flows between countries. The methodological foundation used for the research is the gravity model of foreign direct investment. In discussing the pros and cons of different econometric methods of the estimation gravity equation, we conclude that the Poisson pseudo maximum likelihood method with instrumental variables (IV PPML) is one of the best options in our case. Using a database covering about 70% of FDI flows for the period of 2001-2011, we discover the following factors that explain the variance of bilateral FDI flows in the world economy: GDP value of investing country, GDP value of recipient country, distance between countries, remoteness of investor country, remoteness of recipient country, level of institutions development in host country, wage level in host country, membership of two countries in a regional economic union, common official language, common border and colonial relationships between countries in the past. The potential values of FDI inflows are calculated using coefficients of regressors from the econometric model. We discover that the Russian economy performs very well in attracting FDI: the actual FDI inflows exceed potential values by 1.72 times. Large developed countries (France, Germany, UK, Italy) overinvest in the Russian economy, while smaller and less developed countries (Czech Republic, Belarus, Denmark, Ukraine) underinvest in Russia. Countries of Southeast Asia (China, South Korea, Japan) also underinvest in the Russian economy.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Journal: Review of Economic Perspectives ; ISSN: 1804-1663 ; Volume: 16 ; Year: 2016 ; Issue: 3 ; Pages: 245-267 ; Warsaw: De Gruyter

Klassifikation und Themen

• Klassifikation: Wirtschaft
• Thema: determinants of FDI ; gravity model of FDI ; Poisson Pseudo Maximum Likelihood method ; potential values of FDI

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Mariev, Oleg ; Drapkin, Igor ; Chukavina, Kristina
• Ereignis: Veröffentlichung
• (wer): De Gruyter
• (wo): Warsaw
• (wann): 2016

Weitere Informationen

• DOI: doi:10.1515/revecp-2016-0015
• Handle: http://hdl.handle.net/10419/179859
• Letzte Aktualisierung: 10.03.2025, 11:43 MEZ