Does corruption distance affect cross‐border acquisitions? Different tales from developed and emerging markets
Published date | 01 March 2022 |
Author | Chinmoy Ghosh,P. C. Narayan,R. Shyaam Prasadh,Muthuveerappan Thenmozhi |
Date | 01 March 2022 |
DOI | http://doi.org/10.1111/eufm.12350 |
DOI: 10.1111/eufm.12350
ORIGINAL ARTICLE
Does corruption distance affect cross‐border
acquisitions? Different tales from developed
and emerging markets
Chinmoy Ghosh
1
|P. C. Narayan
2
|R. Shyaam Prasadh
3
|
Muthuveerappan Thenmozhi
3
1
Department of Finance, School of
Business, University of Connecticut,
Connecticut, USA
2
Department of Finance & Accounting,
IIM Bangalore, Bangalore, Karnataka,
India
3
Department of Management Studies,
IIT Madras, Chennai, Tamil Nadu, India
Correspondence
Chinmoy Ghosh, Department of Finance,
School of Business, University of
Connecticut, CT 06268, USA.
Email: chinmoy.ghosh@business.
uconn.edu
Abstract
Using a large sample of cross‐border deals, we find an
inverted U‐shaped relationship between corruption
distance and cross‐border acquisition (CBA) volume.
CBAs involving higher corruption distance show ne-
gative post‐acquisition performance. However, multi-
national enterprises (MNEs) with larger equity stakes
deliver superior gains. We find that the ownership
strategy varies with levels of corruption distance.
MNEs mitigate adverse selection and moral hazard
problems by acquiring targets from a related industry
and targets with a foothold. We demonstrate that CBA
activity and ownership strategy vary between devel-
oped and emerging economies and both ‘level’and
‘direction’of corruption distance are important in its
effect on CBAs.
KEYWORDS
corruption distance, cross‐border acquisitions, emerging
markets, ownership structure, post‐acquisition performance
JEL CLASSIFICATION
G34, D73, F23, L25
Eur Financ Manag. 2022;28:345–402. wileyonlinelibrary.com/journal/eufm © 2021 John Wiley & Sons Ltd.
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We thank Professor John Doukas, the Editor, an anonymous referee, Sjoerd Beugelsdijk, Yakov Amihud, Harminder
Singh, May Hu, Hao Liang and Chamu Sundaramurthy and the seminar participants at IFMA 2016, Indonesia, India
Finance Conference, 2019 and the CRISIL doctoral symposium, 2019, India, for their insightful comments. All
remaining errors are ours.
1|INTRODUCTION
Cross‐border acquisitions (CBAs) are an important strategic initiative for multinational en-
terprises (MNEs) to expand business, leverage capabilities and expertise and diversify into
markets abroad. In 2016, global CBAs reached the third‐highest deal value of $2.4 trillion since
2007, with 17,639 deals and an aggregate volume of $3.2 trillion. As such, there is considerable
interest in the flow and motivation of CBAs and their long‐run performance. Cross‐country
differences in the regulatory, normative and cognitive aspects of the acquirer and target firms
have been identified as important factors in the CBA decisions of MNEs (Ahern et al., 2015;
Aleksanyan et al., 2021; Chikhouni et al., 2017; Dow et al., 2016; Malhotra & Gaur, 2014;
Maung et al., 2020; Prasadh & Thenmozhi, 2019). In this study, we examine how corruption
distance influences MNEs' internationalization decisions. Corruption distance is the difference
in the ‘corruption perception index’(Godinez & Liu, 2015), which is an index published by
Transparency International, between the acquirer and the target countries. We specifically
focus on the relation between corruption distance and three critical aspects of CBAs: the
volume of transactions, the long‐run post‐acquisition performance and equity ownership in the
target firm. We also examine how strategic choices moderate these outcomes.
In contrast to extant studies that focus on specific characteristics of CBAs, our objective is to
analyze how corruption distance influences MNEs' entry mode strategies and the associated
long‐run synergy gains. There is a lack of consensus regarding the relation between corruption
and the critical dimensions of CBAs. Prior studies demonstrate that a higher level of corruption
in the target country leads to less foreign direct investment (FDI) (Habib & Zurawicki, 2002;
Lambsdorff, 2003; Wei, 2000b), particularly from countries with strict laws against corruption
(Cuervo‐Cazurra, 2008). This evidence is consistent with the adverse effect of high transaction
costs caused by corruption (including bribes) and indirect costs associated with operating under
information asymmetry in a corrupt country. Previously, it has been argued that to successfully
consummate CBAs, MNEs need information about target firms' operating environment and
strategic initiatives. If the cost of acquiring information in the target countries increases with
corruption (Portes & Rey, 2005), the volume and synergistic gains realized in the inter-
nationalization activity may be disrupted. However, an alternative school of thought known as
the ‘grease the wheels’hypothesis (Huntington, 1968) asserts that corruption can act as a
lubricant for transactions, particularly in emerging economies where institutional voids allow
acquirers to exploit corruption as a strategic tool to bypass complex regulations and win gov-
ernment contracts (Cheung et al., 2012). Consistent with this view, Cuervo‐Cazurra (2006)
notes that MNEs from high‐corruption economies adapt to the practices in high‐corruption
target countries by taking advantage of the new environment using their ‘skill to corrupt’.
1
The
contradictory predictions implied by the two competing theories call for further examination of
the relation between corruption distance and CBA volume.
2
Closely linked to the increasing CBA volume is the efficacy and success of international
acquisitions, which are usually measured by the long‐run performance of these deals. Mallon
and Fainshmidt (2017) invoke the ‘imprinting theory’to argue that institutional distance
between the acquirer and target countries provides ‘arbitrage opportunities’to MNEs from
1
Wu (2006) argues that MNEs from high‐corruption economies adapt quickly to local corrupt practices when compared
to counterparts that domicile in a low‐corruption economy.
2
Qian and Sandoval‐Hernandez (2016) finding of an asymmetric effect of corruption distance on entry mode choice
reflects the ambiguity in the relationship between corruption distance and CBA volume.
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GHOSH ET AL.
low‐corruption economies, enabling them to transfer their capabilities to target firms in high‐
corruption countries and thereby enhance the long‐run performance of the merged firms.
3
In
contrast, the notion of ‘liabilities of foreignness’suggests that at higher levels of institutional
distance, MNEs face greater information asymmetry costs and pushback from target man-
agement, which erode the potential synergistic gains (Shirodkar & Konara, 2017).
4,5
As such,
the relation between corruption distance and post‐acquisition performance depends on the
trade‐off between the opposing effects of arbitrage advantages versus information costs and
must await empirical analysis.
Given the costs of information asymmetry and foreignness, which deter the efficacy of
CBAs, we next focus on the mechanisms MNEs can employ to mitigate the challenges of
operating in a foreign country. Size of target ownership is a frequently used strategic me-
chanism (Meyer et al., 2009). However, the evidence that ownership strategy reduces the
challenges of operating in a foreign country is mixed. Uhlenbruck et al. (2006) show that MNEs
assume greater control of targets located in high‐corruption countries, whereas Di Guardo et al.
(2016) report a U‐shaped relationship between target country corruption and ownership stakes.
Additionally, recent research has explored how adverse selection and moral hazard problems
associated with different levels of corruption distance moderate this relationship (Malhotra &
Gaur, 2014). Specifically, at a low level of corruption distance, MNEs tend to manage con-
tractual relationships and target integration via high ownership control (Cain et al., 2011). As
corruption distance increases, greater coordination with target management through shared
ownership (partial acquisition) may be more effective to control adverse selection and moral
hazard risk (Malhotra & Gaur, 2014).
6
The integration of the competing theories implies an
inverted U‐shaped relation between corruption distance and ownership stake.
We examine a sample of 357,409 acquisitions from 69 acquirer and 160 target countries over
the period 1980–2019. Our analysis reveals an inverted U‐shaped relation between corruption
distance and CBA volume. As corruption distance increases, MNEs increase their CBA activity
to imprint their capabilities and exploit assets and growth opportunities in the target country.
However, this relationship depends on the country of origin of the merging firms and holds
only for deals involving acquirer–target pairs of firms from developed economies. At higher
levels of corruption distance, increased information asymmetry and costs associated with
corruption increase moral hazard problems, rendering it difficult to manage the acquired entity
post‐acquisition. Consequently, MNEs from developed economies (D‐MNEs) reduce their CBA
3
Gaur and Lu (2007) characterize ‘arbitrage opportunities’as a situation in which firms seek to identify better op-
portunities and certain types of advantages for exploitation in foreign economic systems and foreign environmental
conditions despite being most familiar with their own domestic institutional environment.
4
Shirodkar and Konara (2017) identify ‘arbitrage opportunities’as first‐mover advantages, research and development
advantages and complementary assets.
5
‘Foreignness’refers to the potential sources of competitive disadvantage to MNEs due to the costs associated with
learning the ‘rules of the game’(North, 1990) in new environments when the institutional distance between two
countries increases (Shirodkar & Konara, 2017).
6
Sartor and Beamish (2018) find that when there is pervasive grand corruption in the host country, MNEs prefer joint
ventures, while equity investment is more prevalent in countries with petty corruption. In brief, under conditions of
more pervasive grand corruption, we anticipate that the primary source of uncertainty will be environmental un-
certainty, while behavioural uncertainty will predominate under conditions of heightened petty corruption. As such,
the relationship between petty corruption pervasiveness and equity‐based foreign entry strategy will be grounded in
trust‐based mechanisms due to the fact that petty corruption garners more pronounced behavioural uncertainty in the
host market. Conversely, in the case of grand corruption, learning‐based mechanisms will govern because grand
corruption generates heightened environmental uncertainty.
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