Skip to main content
Have a personal or library account? Click to login
What determines foreign direct investment in Russia? Cover

What determines foreign direct investment in Russia?

By:   
Open Access
|Jul 2020

Figures & Tables

Table 1

Estimation results from 1996 to 2017.

Explanatory variable: FDIt(1)(2)
GDP16.33*** (2.352)14.71*** (4.404)
BRE−1.08** (0.355)−1.24** (0.540)
RER1.70** (0.556)1.84* (1.145)
LAB−0.141*** (0.037)−1.110 (0.072)
OPN−5.55** (2.295)−6.91 (5.599)
SAN−1.10*** (0.250)−1.26*** (0.372)
TAX8.48*** (2.140)6.20* (3.672)
Const−103.97*** (14.856)−94.01*** (28.781)
Wald c2 (7)84.79
Prob > c20.000
Durbin–Watson d-statistic1.72***
R20.880.89

Note: Robust standard errors in parentheses.

Source: The author.

* p < 0.1,

** p < 0.05,

*** p < 0.01.

Table A1

Sample of years used in the estimation.

Sample1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017

[i] Source: The author.

Table A2

Description of variables.

FDIInward FDI measured in constant 2010 US$ dollars, logWorld Bank database
GDPRussia's GDP measured in constant 2010 US$ 2,010 dollars, log
BREBRENT crude oil price in dollars per barrel, logUnited States Energy Information Administration
RERReal effective exchange rates as weighted averages of bilateral exchange with US$ dollar adjusted by relative consumer prices, measured as index, 2010 = 100, logBank for International Settlements
OPNOwn elaboration based on values of GDP, Import and Export, measured in percentage points, logWorld Bank database
SANOwn elaboration, dummy variable to account for the effect of Western sanctions on the economy of Russia, measured as 0 or 1Own elaboration
TAXCorporate income tax rate, measured in percentage pointsTax code of Russia
LABLabour productivity, GDP per hour, measured in constant 2010 US$ dollars, logOECD database

[i] Source: The author.

Table A3

Summary statistics of variables.

VariablesMeanStd. Dev.MinimumMaximum
GDP1,303.91324.86813.021,706.43
BRE54.0633.4812.76111.57
RER81.5616.5748.09106.67
OPN45%0.0637%59%
SAN0.140.3401
TAX26%0.0620%35%
LAB86.0116.6463.26107.63

[i] Source: The author.

Table A4

Correlations between variables.

VariablesGDPBRENTREROPNSANTAXLAB
GDP1
BRENT0.851
RER0.750.871
OPN0.920.780.761
SAN0.520.120.080.531
TAX−0.89−0.71−0.63−0.82−0.401
LAB0.730.870.790.940.50−0.881

[i] Source: The author.

DOI: https://doi.org/10.2478/ceej-2019-0016 | Journal eISSN: 2543-6821 | Journal ISSN: 2544-9001
Language: English
Page range: 311 - 322
Published on: Jul 8, 2020
Published by: Faculty of Economic Sciences, University of Warsaw
In partnership with: Paradigm Publishing Services
JEL:

© 2020 Oleg Gurshev, published by Faculty of Economic Sciences, University of Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.