A global analysis of factors impacting the intensive and extensive margins of bilateral foreign direct investment

Date01 September 2019
DOIhttp://doi.org/10.1111/twec.12827
AuthorAnh T. N. Nguyen
Published date01 September 2019
World Econ. 2019;42:2649–2667. wileyonlinelibrary.com/journal/twec
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2649
© 2019 John Wiley & Sons Ltd
Received: 8 March 2018
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Revised: 14 December 2018
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Accepted: 16 May 2019
DOI: 10.1111/twec.12827
ORIGINAL ARTICLE
A global analysis of factors impacting the intensive
and extensive margins of bilateral foreign direct
investment
Anh T. N.Nguyen
Department of Economics,University of Otago, Dunedin, New Zealand
KEYWORDS
extensive margin, foreign direct investment, gravity model, intensive margin
1
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INTRODUCTION
Recent theoretical models for foreign direct investment (FDI) rely on partial or general equilibrium
(Anderson, Larch, & Yotov, 2017; Bergstrand & Egger, 2007; Markusen, 2002). Those models are
mainly constructed for a world with two countries and derive the determinants of bilateral FDI by find-
ing the analytical or numerical solutions for the equilibrium. Many empirical papers apply these models
to analyse drivers of FDI, considering both home and host countries' characteristics. However, the ma-
jority of these studies, such as Davies (2008) and Araujo, Lastauskas, and Papageorgiou (2017), focus
onlyon FDI from developed countries (DCs); FDI between less‐developed countries (LDCs) has been
neglected. In their extensive survey of FDI studies, Paul and Singh (2017) also show that there is still
a need for a global study with an extensive sample to compare the results between different groups of
countries. Furthermore, most of the previous studies ignore the fact that zero FDI is far more prevalent
than positive FDI. Figure 1 indicates that 60–70% of country pairs do not invest in one another over the
whole period, 2001–12. Simply pooling data of both zero and positive values into a one‐stage regression
such as OLS, tobit or Poisson pseudo‐maximum likelihood (PPML) may lead to inappropriate results.
Recent theories of FDI, as proposed by Razin and Sadka (2007) and Anderson et al. (2017), also sepa-
rate determinants of zero and positive FDI which corresponds to the extensive and intensive margins of
FDI, respectively. The extensive margin of FDI refers to the decision of whether or not to invest, while
the intensive margin is concerned with the amount of FDI invested once the decision to invest is made.
This is the first study to apply the formal structural gravity model of FDI developed by Anderson
et al. (2017) to find the determinants of both FDI margins, especially the role of technology capital.
Using the biggest and most up‐to‐date data set of 110 countries over nine years, 2004–12, this is also
the first study to examine the results for country groups by development extensively at a global level.
There are only a very small number of empirical studies analysing the determinants of both FDI
2650
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NGUYEN
margins, but they do not consider FDI between developing countries and do not apply panel methods.
I find that source country technology capital has a significant and positive impact on both FDI mar-
gins and this result is consistent across different country groups. Bilateral investment treaties play a
significant role only in determining the probability of investment. In addition, many variables, usually
regarded as determinants of FDI, such as source country GDP, common currency, common religion
and trade agreements, are not statistically significant in the case of FDI from LDCs.
The remainder of the paper proceeds as follows. The next section presents a literature survey of
determinants of both margins of FDI. Section 3 describes the theoretical framework and hypotheses,
while Section 4 discusses the multilateral resistance terms in empirical studies in international trade.
Data and hypotheses are given in Section 5, followed by the methodology in Section 6. Section 7
presents the regression results. Section 8 concludes and suggests extensions and improvements for
future studies. Also, details of data collection and data quality, and some additional regression results
are reported in an Appendix S1.
2
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LITERATURE REVIEW
Although the general literature on determinants of FDI at the aggregate or bilateral levels is vast, there
are only a handful of empirical studies analysing the drivers of both intensive and extensive margins
of FDI. Razin and Sadka (2007) pioneer the development of FDI models explaining zero and positive
FDI separately and then empirically test their theoretical models using OECD data. Besides typical
gravity variables, the authors find that the intensive and extensive margins of FDI are not affected
identically by the same factors such as corporate tax rates and set‐up costs. Davies and Kristjánsdóttir
(2010) investigate the impact of natural resources on FDI inflows to Iceland over the period 1989–
2001. Their empirical results show that distance and trade openness play a more important role in the
probability of investment than the investment amount. Cavallari and d'Addona (2013) examine FDI
between 24 OECD countries from 1985 to 2007 and find a negative influence of output volatility on
the extensive margin. Garrett (2016) employs data from 101 countries between 1995 and 2002 and
finds the significant role of productivity thresholds in FDI decisions. Meanwhile, Araujo et al. (2017)
focus on market entry costs as the key factor between the two margins and investigate outward FDI
data from OECD countries to the rest of the world. Eicher, Helfman, and Lenkoski (2012) use a panel
FIGURE 1 Distribution of country pairs based on direction of FDI stocks.
Data source: UNCTAD, 110 countries
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2001 2002 2003 2004 2005 2006200720082009201020112012
No FDI FDI in one direction only FDI in both direction

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