What drives target status decision in emerging markets acquisitions?

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Target status  
decision and  
market  
What drives target status decision  
in emerging markets acquisitions?  
Viet Anh Hoang  
acquisition  
Faculty of Banking, The University of Danang, Danang, Vietnam  
203  
Man Dang  
Faculty of Finance, The University of Danang, Danang, Vietnam  
Received 2 June 2020  
Revised 4 November 2020  
Accepted 25 November 2020  
Ngoc Vu Nguyen  
The University of Danang, Danang, Vietnam  
Ngoc Thang Nguyen  
Faculty of Finance, The University of Danang, Danang, Vietnam, and  
Darren Henry  
Department of Economics and Finance,  
La Trobe Business School, La Trobe University, Australia  
Abstract  
Purpose – The purpose of this paper is to investigate the effects of cross-country characteristics on acquirers’  
target status choice in cross-border mergers and acquisitions across 41 emerging markets.  
Design/methodology/approach – The paper first reviews the existing literature and develops the related  
hypotheses, in conjunction with the objectives of this paper. We then describe the data employed, variable  
measurement and examine the effects of cross-country characteristics on the acquirers’ target status choice in  
cross-border mergers and acquisitions while controlling for firm-level and deal-specific characteristics. The  
paper continues to conduct the robustness check on cross-country determinants of target status choices using  
the difference independent variables rather than target country-level variables only.  
Findings – This research found that the likelihood of a public firm acquired relative to private one is  
higher if the target firm is located in countries with stronger government quality, weaker economic  
freedom, better financial market development and lower cultural distance between the host and home  
countries. The results suggest that bidders actively assess cross-country characteristics as part of their  
acquisition planning.  
Originality/value – Rather than commonly analysed determinants in the previous research such as firm- and  
deal-specific attributes, value creation and shareholder protection, this paper indicates that institutional  
environments and economic conditions are closely associated with acquisition risks and benefits and have  
direct influences on bidder firms’ acquisition bidding planning and target choice decision-making.  
Keywords Country-level characteristics, Target status decision, Cross-border mergers and acquisitions,  
Emerging markets, Imperfect factor markets  
Paper type Research paper  
© Viet Anh Hoang, Man Dang, Ngoc Vu Nguyen, Ngoc Thang Nguyen and Darren Henry. Published in  
Journal of Economics and Development. Published by Emerald Publishing Limited. This article is  
published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce,  
distribute, translate and create derivative works of this article (for both commercial and non-commercial  
purposes), subject to full attribution to the original publication and authors. The full terms of this licence  
Viet Anh Hoang, Man Dang, Ngoc Vu Nguyen, and Ngoc Thang Nguyen are senior lecturers at the  
University of Danang (Vietnam). We thank the participants at the 2019VICIF Conference and seminars at  
the University of Danang (Vietnam)and La Trobe BusinessSchool (Australia), for very fruitful comments  
and suggestions. All remaining errors are our own. This research is funded by Funds for Science and  
Technology Development of the University of Danang under project number B2018-ÐN04–07.  
Journal of Economics and  
Development  
Vol. 23 No. 2, 2021  
pp. 203-218  
Emerald Publishing Limited  
e-ISSN: 2632-5330  
p-ISSN: 1859-0020  
1. Introduction  
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23,2  
Mergers and Acquisitions (M&As) are increasingly a large key mode of foreign direct  
investment (FDI) since the late 1980s. Keeping pace with changes in the global environment,  
the integration of local markets into the world economy, the liberalization and the  
development of financial markets, cross-border M&A deals continue to be major forces for  
the global economic growth. Bidders are increasingly looking to emerging markets for new  
investment opportunities. The SDC database shows that on average 42.12% of targets  
acquired are publicly listed. Since cross-border acquisitions to emerging markets continue  
growing and the challenges posed by acquisitions in these markets are broad and diverse,  
understanding of the motivation and strategic rationale of acquiring public targets versus  
private targets is worth receiving more attention (Bae et al., 2013).  
204  
The existing literature shows that the bidding firms’ selection to acquire unlisted or listed  
firms is determined by characters of firms. Shen and Reuer (2005) report that bidders are not  
willing to acquire private targets when the deal is outside their core business and when  
private firms have significant intangible resources or their value of assets is highly uncertain.  
They also indicate that assessing a target’s value can meet significant challenges for  
acquirers in the case of small and private targets, therefore, when such valuation problems  
are apparent, bidders are more likely to pursue public targets, for which these difficulties are  
comparatively less severe. The second stream of literature examines the target status  
selection decision in association with information asymmetry and suggested that information  
asymmetry may have a significant impact on the strategy and performance implications of  
acquisitions. The explanation is that information asymmetry has a certain association with  
firm and deal characteristics and, thus, affecting target status selection (for instance, Capron  
There is also another strand of literature paying attention to country-level factors as the  
determinants of target selection and acquirer returns. Bae et al. (2013) find country-level  
transparency as a determinant of target firm selection in cross-border acquisitions.  
Specifically, they indicate that it is more likely for bidders to buy private targets in  
lower-transparency countries (higher information asymmetry environment) to yield higher  
price discount associated with private firms. Feito-Ruiz et al. (2014) indicate that the acquiring  
firms located in countries with less protection to shareholders and minority shareholders are  
more likely to acquire listed firms; whereas the higher level of information asymmetry and the  
less developed the capital market in the acquired firm country, the more likelihood of  
acquisitions of unlisted firms. Focusing on the relationship between the country-level  
determinants of target selection and acquirer returns in cross-border acquisitions, John et al.  
(2010) find that when target countries have a strong protection of minority shareholders,  
announcement returns of bidders are significantly negative resulting from acquisitions of  
public target companies and positive in acquisitions of private target companies. Similarly, a  
number of existing studies find the effects of political risk, geographic and cultural distance  
on the bidders’ returns in association with target status (see Tao et al., 2017).  
Drawing from the existing literature, we believe that the relevance of all firm-attributes  
and of information-based deal attributes may depend on the characteristics of countries,  
particularly the legal and institutional environment. Our paper makes a great effort in the  
examination on the decision-making of bidders in cross-border acquisitions across 41  
emerging markets over the period from 2000–2015. Specifically, we focus on cross-country  
determinants of acquirers’ target status choice and how this might be affected not only by  
involved firm and deal attributes but also by the institutional attributes of the host-home  
countries as well as differences in these institutional characteristics across those countries.  
Accordingly, we have taken a different approach based on the transaction-nature of cross-  
border acquisitions, which involves bidders and target countries from different countries and  
considers differences in country-level attributes and their association with bidders’ planning  
and decision-making. Prior studies focus on the role of country-level characteristics in  
explaining the acquirer return effects associated with the acquisitions of private targets  
relative to those of public targets. In our study, we expect country-specific factors to be  
directly associated with target choice decision for bidding firms. As such, our key proposition  
is that, in the cross-border target selection decision-making, it is a great deal of importance for  
bidding companies to perform a thorough analysis of the target firm’s local regulatory and  
country institutional environments in order to identify possible gaps in the markets and  
determine how the acquired firm can play a mediating role, providing access to networks to  
reduce information asymmetry and afford the acquirer a comfortable position in that  
environment. If bidding companies are reasonably accurate in their assessment of acquisition  
risks and benefits, then we subsequently expect country-specific institutional factors to be  
directly associated with target choice decision for bidding firms. Dang et al. (2018) have  
provided the similar conclusions for the cross-country determinants of bidder ownership  
choices. They find that the target country-level characteristics and differences in the  
institutional attributes between bidder and target countries are informative of bidder  
acquisition decisions. Their study also suggests that bidders tend to consider cross-country  
characteristics as part of their acquisition planning. Also examining the role of cross-country  
factors and the bidder acquisition decision-making, our paper differentiates from Dang et al.  
(2018)’s study by putting more attention to target country-level attributes as the determinants  
of target status selection.  
Target status  
decision and  
market  
acquisition  
205  
Following the existing literature, country-level characteristics regarding (1) government  
quality, (2) economic freedom, (3) financial development and (4) cultural distance are  
suggested as key cross-country determinants of investment motives and acquisition sources  
of value for foreign bidders and, thus, play a vital role in acquirers’ takeover decision-making  
across emerging market economies. Therefore, if country-specific attributes or variations  
across such countries provide potential acquisition motives, then it is reasonable to expect  
that they should also be correlated with the bidders’ decision-making.  
This paper broadens the existing literature on acquisitions with three significant  
contributions. Firstly, our paper focuses on the country-specific determinants on bidders’  
behaviour generally and target status selection in particular, and cross-country differences,  
which are better reflections of perceived acquisition risks and benefits. Acquirers may  
confront certain challenges and risks when adapting to a different institution and operating  
in a new country. Investing in the emerging markets may carry more risks than those  
associated with investing in the developed markets, typically and substantially political risks  
and social risks. Emerging countries have been going through the institutional  
transformation and have experienced certain market imperfections. However, as any two-  
faced implication, for those with a taste for risk, emerging economies can provide great  
promises. Secondly, previous studies have focused on either firm-level and deal-specific  
determinants for examining the target status choice decision in the correlation with the  
shareholder returns or firm valuation. Our analysis fills in the gap of the literature when  
concentrating on the target status selection decision-making of bidding companies  
specifically by examining cross-country determinants and particularly target country  
characteristics. Our attention is on whether target country-level factors including  
government quality, economic freedom, financial development and cultural distance play  
the pivotal role in the acquisition decision of private targets or public targets and whether the  
variations in institutional environment characteristics between bidder and target companies  
are also related to bidders’ target status choices.  
Thirdly, this paper contributes to the current emerging market literature (Deng and  
Yang, 2015; Lebedev et al., 2015) by looking into the emerging market targets and  
extending at a large-scale level across 41 emerging markets. Developed economies have  
experienced a stagnant growth, especially after the 2007–2008 global financial crisis, thus,  
investors have looked elsewhere to reap the gains that Western markets used to offer.  
Besides the faster growth rate of emerging markets, the improvement in liquidity, capital  
raising and larger labour force also make the emerging markets more attractive than their  
developed counterparts. Yet, investing in the emerging markets may carry more risks  
than those in the established markets when the emerging countries have been going  
through the institutional transformation and have experienced certain market  
imperfections. However, for those with a taste for risk, emerging economies can provide  
great promises. As cross-border acquisitions into emerging markets continue to grow,  
understanding of the motivation and strategic rationale of these foreign acquisitions is  
deserving more attention.  
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206  
The remainder of the paper is organized as follows. In the next section, we review the  
existing literature and develop the related hypotheses, in conjunction with the objectives of  
this paper. Section 3 describes the data employed and variable measurement, while the  
empirical results are presented and discussed in Section 4. Section 5 concludes our study.  
2. Hypothesis development  
Existing literature indicates that variation in government quality significantly affects the  
flow of FDI to developing and emerging countries (Buchanan et al., 2012). Alexandridis et al.  
(2011) find that target countries with better quality of laws and regulations tend to experience  
more cross-border acquisitions. Dang et al. (2018) examine the importance of the target  
countries’ government quality for the acquirers’ ownership decisions and find that bidders  
tend to acquire higher ownership of target firms operating in countries with better  
government quality. The target countries with lower levels of government quality might have  
weaker and unclear law and regulation environment, less information transparency, more  
uncertainty and political risks to business activities. In such an opaque information  
environment, local information on public targets would not be reliable or useful and might not  
be much different from information on private targets; therefore, the motivation to buy a  
public target will be weakened, and it would not be worth paying an extra premium for public  
targets in this case (Capron and Shen, 2007). Motivated by the above discussion with respect  
to the role of target government quality, it can be hypothesized that:  
H1. The higher the target country government quality, the greater probability of  
acquiring a public target firm relative to a private target firm.  
Regarding economic freedom, the impacts of economic freedom in cross-border mergers and  
acquisitions, particularly for acquirers’ acquisition decisions have been clearly surveyed in  
the current literature (Li et al., 2018). According to Bhagat et al. (2011), the higher degree of  
economic freedom means better legal structure and security of property rights, capital raising  
and capital control with greater international trade openness, which is believed to decrease  
the risks and uncertainty in the likelihood of investing in the target countries. A less  
restrictive international trade policy and the increased participation in trade openness of  
target countries create greater opportunities to welcome foreign capital flows from new  
markets and boost potential acquisition benefits. Hence, acquiring target companies which  
are located in countries with better economic openness and less restrictive international trade  
policy are expected to create more value when the target firms are unlisted. Accordingly, the  
following research hypothesis is proposed:  
H2. The higher the target country degree of economic freedom, the lower probability of  
acquiring a public target firm relative to a private target firm.  
Previous studies have investigated the influence of financial development on target status  
selection in cross-border acquisitions (Capron and Shen, 2007; Feito-Ruiz et al., 2014).  
   
According to Feito-Ruiz et al. (2014), underdeveloped financial markets in target countries  
make unlisted targets encounter more difficulties and more costly in obtaining external  
financing and less available liquidity. As a result, unlisted firms are more likely to be offered a  
discount in the offer price, which, in turn, boosts the probability of unlisted firms acquired by  
cross-border bidders. The current literature reaches a conclusion that the less developed the  
capital market in the target country, the greater the probability unlisted firms get acquired.  
Bae et al. (2013) find that well-developed financial systems provide an active market for  
shares of public firms and, hence, bidding firms are willing to acquire public targets located in  
a country with better financial market development in order to potentially get premium  
benefits from its shares in the readily available stock market with lower acquisition risks.  
Therefore, we posit that:  
Target status  
decision and  
market  
acquisition  
207  
H3. The higher the target country level of financial development, the greater probability  
of acquiring a public target firm.  
Prior studies have also focused on the influence of cultural distance on cross-border  
acquisition performance and process (Weber et al., 1996; Morosini et al., 1998), but the results  
are mixed. National and organizational cultural barriers can be major obstacles to achieve  
benefits for post-combination integration process. A high level of cultural distance between  
firms is likely to cause cultural ambiguity and process loss when different cultures collide  
during the post-acquisition process, whereas international acquisitions may be particularly  
difficult to integrate because they require “double layered acculturation”, whereby not only  
corporate cultures but also different national cultures have to be combined. Empirically,  
however, Morosini et al. (1998) find that acquisitions perform better if there is a larger degree  
of national cultural distance between the two involved firms. Although there is no consensus  
on the exact impact of cultural distance on cross-border acquisition performance, the existing  
literature agrees that high cultural distance increases the level of uncertainty and risks,  
especially in the case of cross-border deals when acquirers enter into a foreign market with  
different language, legal and governance systems as well as national cultural barriers (Kang  
and Jiang, 2012). Accordingly, we suggest the final hypothesis as follows.  
H4. The higher the level of cultural distance between the bidder and target country, the  
lower probability of acquiring a public target firm relative to a private firm.  
3. Data and sample description  
3.1 Data and sample selection  
A comprehensive sample of completed cross-border acquisitions involving target firms over  
the period between January 2000 and December 2015, across 41 emerging markets, was taken  
from the Thomson Reuters SDC Platinum database. An initial set of 53,987 completed cross-  
border acquisition announcements in these emerging countries was obtained. These  
countries were selected based on the emerging markets-related new classification introduced  
by BBVA Research (2014).  
Following the literature, we require companies to acquire a stake in target companies no  
less than 5% and do not hold less than 5% after the deal is completed. Also, in order to  
address sample selection bias, we exclude observations in which multiple firms acquire the  
same company on the same day. For an acquisition to remain in the sample, we require that  
the transaction value to be at least US$1.0 million and that financial data for the acquirers and  
target firms be available on Datastream, Thomson Reuters Worldscope or Bureau van Dijk’s  
Mint Global databases, though there are still missing values across different variables.  
Finally, we have removed transactions where the target’s listing status was something other  
than public or private. After screening criteria and deleting acquisition observations with  
     
missing values, the final sample consisted of 16,806 cross-border acquisition transactions  
involving 41 different target countries in emerging markets.  
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3.2 Model, variables, and measures  
Our model is given as follows [1]:  
Pubtargeti;t ¼ β0 þ β1IEj;t−1 þ β2 CONTROLSt−1 þ γs þ δt þ Ωg þ ζi;t  
(1)  
208  
where,  
3.2.1 Dependent variable (Pubtarget). The dependent variable (Pubtarget) is acquirers’  
target status choice in cross-border acquisitions, taking the value of one if the target is  
publicly listed and zero otherwise.  
3.2.2 Institutional environment variables (IE). The first explanatory variable is quality of  
government (GovQuality) derived from Kaufmann et al. (2009) and from the World Bank’s six  
Governance Indicators. The second key variable studied refers to the degree of economic  
freedom (EcoFreedom). This study uses the index published by the Fraser Institute, which  
measures the country’s level of economic freedom. The next key explanatory variable is  
financial development(FinDevelop). We follow Gries et al. (2009)and Dang et al. (2018)toemploy  
the principal component analysis method to create a wide-ranging index of financial  
development constructed from the four widely used financial development indicators, covering  
M2, liquid liabilities, total domestic credit and domestic credit to the private sector. The last key  
explanatory variable, cultural distance (CulDistance), captures the difference in the national  
culture between acquiring firm country and target firm country. This index is computed using  
Kogut and Singh (1988)’s method from Hofstede’s six cultural dimensions (Hofstede, 1994).  
3.2.3 Control variables (CONTROL). A number of control variables that could possibly  
affect acquirers’ target status choices are incorporated in our multivariate setting,  
representing (1) the characteristics of acquisition deals: Relatedness (Capron and Shen,  
2007), Toehold (Kim, 2012) and Cash (Fuller et al., 2002); (2) firm-level variables: Size (Kim,  
2012), RelSize (Andriosopoulos and Yang, 2015), Public bidder (Capron and Shen, 2007) and  
Emerging bidder (Dang et al., 2018). Moreover, carrying out a cross-country study of  
acquisitions considerably depends on economic conditions across countries; therefore, it is  
expected that bidders are more probable to acquire a public target firm if the target is located  
in countries with stronger economic eminence and prosperity, which can be proxied by GDP  
per capita (GDP per capita) and GDP growth (GDP Growth) variables.  
In order to control for year, industry and geographic effects, we respectively include year  
(δt), industry (γs), and host country geographic location (Ug) in all model specifications.  
3.3 Characteristics of the sample  
Table 1 reports the summary statistics on the characteristics of acquisition deals in rank  
order by total number of deals [2]. As shown in Table 1, the percentage of public targets varies  
from 0% (i.e. Algeria, Qatar, and Uzbekistan) to 100% (i.e. Brazil, Russia, and Turkey). On  
average, 42.12% of targets acquired are publicly listed. Also, target firms in large emerging  
market countries (India, China and Mexico) and new emerging markets (Malaysia and  
Indonesia) are more attractive to cross-border bidders than those located in the other markets.  
Moreover, cross-border bidders tend to prefer noncash deals and outside-core-business  
(nonrelated) acquisitions. Interestingly, the number of hostile deals is found to be startlingly  
rare, which represents 0% in the most of hostile deals in emerging market acquisitions. There  
is a big difference in the proportion of toehold-related deals across target countries. For  
example, only about 3.57% of foreign bidders hold the target firms’ shares at the time of  
acquisitions in Indonesia, while the rate for Colombia is up to 48.84%.  
Target status  
decision and  
market  
acquisition  
209  
Table 1.  
Data on completed  
cross-border mergers  
and acquisitions by  
top-20 countries  
ranked by number  
of deals  
 
Table 2 reports the industry distribution of bidders and targets. It can clearly be seen that  
there is a diversification across target and acquirer industries, though financial services make  
up for the largest proportion. Foreign bidders operate in financial services as the most,  
followed by manufacturing and consumer products industries. In addition, they prefer target  
firms involved in the same areas of operations, which indicate that acquirers tend to avoid  
targets outside of their core business.  
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Table 3 describes summary statistics on characteristics of country-level variables  
according to target status over the 2000–2015 period. The results indicate that bidders tend to  
seek publicly held target firms operated in countries with better control of corruption,  
stronger economic freedom, bigger restrictions on international trade, higher financial  
market development, greater GDP growth,and less organized and ordered society. Regarding  
the variation in country-level characteristics between bidder and target countries, bidders  
prefer publicly held target firms when listed target firms’ countries have worse government  
quality, weaker economic freedom, less-developed financial market and higher cultural  
distance between bidders and targets.  
210  
4. Regression results  
4.1 Cross-country determinants of target status choices  
This section firstly examines the influences of the cross-country characteristics on target  
status choices by undertaking binominal logistic regressions of the target selection on the  
country-level variables and controlling for firm-level and deal-specific variables. The results  
of five logit models are presented in Table 4. As seen from column (1), we find strong evidence  
supporting Hypothesis H1. The coefficient on the Target GovQuality variable is positive and  
statistically significant suggesting higher likelihood of acquiring publicly held target firms  
located in countries with stronger government quality. One of the key merits of acquiring a  
public target firm is that the acquirer can access public financial information of its target firm  
and the local information would be reliable when target country has a strong government  
quality (Capron and Shen, 2007). Therefore, if bidders are reasonably accurate in their  
assessment of acquisition by reliable and useful information on public targets, they will  
prefer public target firms to avoid the overpayment as for private target firms.  
The result from column (2) shows the negative and statistically significant coefficient on the  
Target EcoFreedom, which is in line with Hypothesis H2. The finding suggests that the  
probability of a public target acquiring deal is negatively correlated with the degree of economic  
freedom in the target country and that the higher the economic freedom, the lower the probability  
of acquiring publicly held firms. It is proposed that fewer frictions and market imperfections in  
acquisitions of targets from countries with strong economic freedom, which is associated with  
Bidder industry  
(%)  
Target industry  
Deals  
SIC codes  
%
Deals  
%
0000–999  
Food products  
191  
1961  
2588  
2766  
1782  
1122  
3025  
2361  
1010  
1.61  
11.61  
15.46  
16.48  
10.63  
6.61  
18.14  
13.90  
5.55  
231  
1294  
1805  
2062  
1126  
644  
7883  
1432  
669  
1.35  
7.55  
10.53  
12.03  
6.57  
1,000–1999  
2000–2999  
3000–3999  
4000–4999  
5000–5999  
6000–6999  
7,000–7,999  
8000–8999  
Mining and construction  
Consumer products  
Manufacturing  
Utilities and transportation  
Wholesale, retail, and some services  
Financial services  
Table 2.  
3.76  
Industry distribution  
of completed cross-  
border mergers and  
acquisitions  
45.98  
8.35  
3.90  
Personal and business services  
Miscellaneous  
   
Target status  
decision and  
market  
acquisition  
211  
Table 3.  
Country-level  
characteristics and  
target status  
preferences  
 
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Table 4.  
Cross-country  
determinants of target  
status choices in cross-  
border acquisitions  
 
more efficient markets and stronger economic growth, leading to the target countries’ lower cost  
of capital and agency costs. Therefore, if foreign bidders realize lower cost of capital and agency  
costs with less investment risks in high economic freedom target countries, they prefer private  
firms to public firms in order to experience the acquisition discount, benefits from greater  
announcement wealth effects and other higher growth potentials.  
Target status  
decision and  
market  
acquisition  
Our results reported in Column (3) also support Hypothesis H3. Column (3) indicates the  
significantly positive coefficient on the Target FinDevelop, which means that the probability  
of acquiring publicly-held firms is higher in target countries with more-developed financial  
markets. This finding is consistent with Bae et al. (2013) that well-developed financial  
systems provide an active market for shares of public firms, thus bidding firms are willing to  
acquire a public target located in a country with financial market development in order to  
potentially get premium benefits from its shares in the readily available stock market with  
lower acquisition risk.  
213  
In column (4), the influence of the difference in the national culture between home and host  
countries on acquirers’ target status selection is examined. The significantly negative  
coefficient for the CulDistance variable suggests that the higher the cultural distance, the lower  
likelihood of acquiring a publicly listed firm, and, therefore, it is in line with Hypothesis H4.  
Accordingly, the higher level of cultural distance means more differences in the political  
institutions, economic and social institutions between bidder and target country. This leads to  
greater risks, more obstacles to business activities and higher information asymmetry in the  
target country, which are considered as potential compensated factors for greater gains by  
acquiring a private firm. Therefore, acquirers are less likely of acquiring public target firms  
when there is a larger cultural difference between the host and home countries.  
After each key explanatory variable is examined separately, all of the variables are  
combined together in a full model in column (5). The results are generally consistent with the  
findings above except for the financial market development variable (the coefficient is still  
positive but statistically insignificant).  
4.2 Robustness test  
We continue to conduct the robustness check on cross-country determinants of target status  
choices using the difference independent variables rather than target country-level variables  
only. Accordingly, the main test variables include the difference in the quality of government  
(ΔGovQuality); difference in the quality of economic freedom (ΔEcoFreedom); difference in the  
development of financial markets (ΔFinDevelop) and difference in the uncertainty avoidance  
index (ΔUAI) [3]. Δ(GDP Growth) and Δlog(GDP per capita) are proxies for the difference in  
macroeconomic conditions between the two countries. We report our results in Table 5.  
As reported in column (1) of Table 5, the significantly positive coefficient for the  
ΔGovQuality variable proposes that the larger the government quality gap between the target  
and bidder countries, the greater the probability of acquiring public target firms relative to  
private firms. In column (2), the significantly positive coefficient for ΔEcoFreedom variable  
supports our idea that the likelihood of acquiring public target firms is higher when target  
countries have the lower degree of economic freedom relative to bidder countries. Column (3)  
shows the negative and statistically significant coefficient for the ΔFinDevelop variable. This  
result supports our hypothesis and identifies that if target firms are located in countries with  
stronger financial market development relative to the bidder countries, there is a greater  
probability of acquiring public target firms. Column (4) examines if cultural distance between  
the two countries are associated with acquirers’ target status selection. The significant  
negative coefficient for the ΔUAI variable indicates that if the target and bidder countries  
share similar social standards and then there is lower cultural distance between two  
countries, the bidders are more willing to acquire the public firm targets. The result again  
supports our prior findings.  
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Table 5.  
Robustness on cross-  
country determinants  
of target status choices  
using the difference  
independent variables  
 
5. Conclusion  
Target status  
decision and  
market  
This study has examined major factors that determine the target status choice of public listed  
firms versus private firms by bidding firms in cross-border mergers and acquisitions across  
41 emerging markets. After controlling for firm-level and deal-specific characteristics, we find  
that target country-level characteristics and differences in cross-country factors between the  
home and host countries are associated with acquirers’ target status selection.  
The findings of the paper contribute two important implications. Regarding theoretical  
implications, this study emphasizes the literature on the acquisitions with the importance of  
cross-country characteristics for acquirers’ acquisition decision-making generally and target  
status selection particularly. Rather than commonly analysed determinants in the previous  
research such as firm- and deal-specific attributes, value creation and shareholder protection,  
this paper indicates that institutional environments and economic conditions are closely  
associated with acquisition risks and benefits and have direct influences on bidder firms’  
acquisition bidding planning and target choice decision-making.  
acquisition  
215  
In terms of practical implications, while previous studies are primarily devoted to only some  
large emerging host economies, we examine the decision on target selection by considering a  
comprehensive sample consisting of 41 emerging markets, which allows us to generalize the  
statistical results and conclusions to the entire emerging markets context. The findings shed  
light on benefits being facilitated by mechanisms such as economic openness, international  
trade capabilities and well-functional financial market, together with the perception of cultural  
distance as informative sources of bidder acquisition decisions. Accordingly, the study  
proposes that foreign acquirers actively assess and analyse cross-country institutions as part  
of their acquisition planning, while domestic target firms identify advantages and  
disadvantages of their position in the environment for negotiations in the acquisition deals.  
It is potentially that managerial opportunism and differences in information availability  
on private relative to public firms influence both the acquirer’s choice of target as well as its  
performance. We leave this possibility for future research.  
Notes  
1. Also see Table A1 for the definition of variables.  
2. Also see Table A2 for the correlation matrix.  
3. More details about this UAI index, see Table A1.  
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Corresponding author  
Viet Anh Hoang can be contacted at: anhhdv@due.edu.vn  
                                 
Appendix  
Target status  
decision and  
market  
acquisition  
Variable  
Description and source  
Dependent variable  
Pubtarget  
An indicator variable taking on the value of one if the target firm is publicly listed firm and  
zero otherwise (Source: SDC Platinum)  
217  
Country-level variables  
GovQuality  
A country’s quality of government. It is a combined score derived from six dimensions of  
governance, including (1) The rule of law, (2) regulatory quality, (3) political stability and  
absence of violence, (4) government effectiveness, (5) voice and accountability and (6)  
control of corruption. Higher values indicate greater quality of government (Source: World  
Bank)  
EcoFreedom  
FinDevelop  
A country’s quality of economic freedom. The index measures the country’s degree of  
economic freedom in five wide-ranging areas: (1) Size of government, (2) Legal structure and  
security of property rights, (3) Access to sound money, (4) Freedom to trade internationally  
and (5) Regulation of credit, labour and business (Source: Fraser Institute)  
This index measures the financial development of a country and constructed from the  
commonly used four financial development indicators in the literature: (1) Log of M2 to  
GDP, (2) Log of liquid liabilities to GDP (M3 to GDP), (3) Log of total domestic credit  
provided by the banking sector to GDP and (4) Log of domestic credit to the private sector to  
GDP (Source: World Bank)  
CulDistance  
This index measures cultural distance between a home and a host country. It is a combined  
score derived from six dimensions of Hofstede’s national culture, including (1) power  
distance, (2) individualism versus collectivism, (3) masculinity versus femininity, (4)  
Uncertainty Avoidance Index, (5) Long- term versus short-term normative orientation and  
(6) indulgence versus restraint (Source: Hofstede’s website)  
UAI  
This index reflects the amount that people prefer to be governed by rules, laws and  
standard operating procedures and accept uncertainty or ambiguity. Culture with a high  
UAI index prefer things to be well ordered, planned ahead and run to time, while a low UAI  
score suggests a society that is more flexible and relaxed and does not worry when things  
go wrong (Source: Hofstede’s website)  
GDP Growth  
Annual percentage growth rate of gross domestic product (Current US$) (Source: World  
Development Indicators, World Bank)  
GDP per capita  
Gross domestic product per capita (Constant, 2005 US$) (Source: World Development  
Indicators, World Bank)  
Deal-specific variables  
Relatedness  
An indicator variable taking on the value of one if the target and the acquirer are in same  
areas of operations and zero for unrelated acquisitions (Source: SDC Platinum)  
A dummy that is one if an acquisition is paid by cash and zero if it is by an acquirer’s stock  
or a mixed cash and stock (Source: SDC Platinum)  
Cash  
Toehold  
The percentage of target equity held by the bidder before the acquisition (Source: SDC  
Platinum)  
Firm-level variables  
Size  
Logarithm of total assets of the target in the fiscal year ended before the announcement of  
the deal in US$ m (Source: Worldscope, Mint Global)  
RelSize  
A ratio of the transaction value to total assets of the bidder (Source: Worldscope, Mint  
Global)  
Public bidder  
An indicator variable taking on the value of one if the acquirer is a publicly listed firm and  
zero otherwise (Source: SDC Platinum)  
Emerging  
bidder  
An indicator variable taking on the value of one if acquirers come from emerging market  
economies and zero otherwise (Source: SDC Platinum)  
Table A1.  
List of variables  
 
JED  
23,2  
218  
Table A2.  
Correlation matrix  
 
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