Đặc điểm hội đồng quản trị và hiệu quả hoạt động doanh nghiệp: Tác động điều tiết của sở hữu gia đình

Chuyên mục: Quản trị - Quản lý - TẠP CHÍ KINH TẾ & QUẢN TRỊ KINH DOANH SỐ 15 (2020)  
ĐẶC ĐIỂM HỘI ĐỒNG QUẢN TRỊ VÀ HIỆU QUẢ HOẠT ĐỘNG DOANH NGHIỆP:  
TÁC ĐỘNG ĐIỀU TIẾT CỦA SỞ HỮU GIA ĐÌNH  
Trương Bảo Thạch1, Phạm Tiến Minh2  
Tóm tắt  
Nghiên cứu này kết hợp lý thuyết người đại diện và lý thuyết người quản lý để xem xét các mối quan hệ  
giữa đặc điểm của hội đồng quản trị (HĐQT), sở hữu gia đình và hiệu quả hoạt động doanh nghiệp. Bốn  
đặc điểm của HĐQT gồm: (1) quy mô HĐQT, (2) tính độc lập của HĐQT, (3) trình độ học vấn của HĐQT,  
(4) tính kiêm nhiệm của Giám đốc điều hành; và hiệu quả hoạt động doanh nghiệp được đo bằng: (1)  
ROA, (2) ROE, (3) Tobin's Q, (4) Altman Z-score. Biến điều tiết sở hữu gia đình được đo như một biến  
nhị phân. Sử dụng phương pháp hồi quy bình phương nhỏ nhất tổng quát (GLS) trên 1.120 quan sát của  
225 công ty niêm yết trên Sở Giao dịch Chứng khoán Thành phố Hồ Chí Minh (HOSE) tại Việt Nam từ  
2015 đến 2019, nghiên cứu này chỉ ra một số mối quan hệ giữa các biến được nghiên cứu. Về quan hệ  
trực tiếp giữa các đặc điểm của HĐQT và hiệu quả hoạt động, quy mô HĐQT có ảnh hưởng tích cực,  
nhưng tính độc lập của hội đồng quản trị và tính kiêm nhiệm ảnh hưởng tiêu cực; trình độ học vấn không  
có tác động. Đối với tác động điều tiết, sở hữu gia đình có điều chỉnh tiêu cực tới ảnh hưởng của tính độc  
lập và trình độ học vấn của HĐQT đối với hoạt động doanh nghiệp. Các phát hiện đưa ra nhiều đề xuất  
liên quan đến các thông lệ quản trị, cả ở cấp công ty và cấp chính sách.  
Từ khóa: Đặc điểm hội đồng quản trị, quản trị công ty, sở hữu gia đình, hiệu quả hoạt động doanh nghiệp  
BOARD CHARACTERISTICS AND CORPORATE PERFORMANCE:  
MODERATING EFFECT OF FAMILY OWNERSHIP  
Abstract  
This study incorporates insights from agency theory and stewardship theory to examine the relationships  
among board characteristics, family ownership, and corporate performance. For this purpose, four board  
characteristics are chosen: (1) board size, (2) board independence, (3) board educational level, (4) CEO  
duality, and firm performance is measured by four proxies: (1) ROA, (2) ROE, (3) Tobin’s Q, (4) Altman Z-  
score. The moderating variable family ownership is measured as a binary variable. Using the generalized  
least squares (GLS) regression method on 1,120 samples of 225 companies listed on Ho Chi Minh Stock  
Exchange (HOSE) in Vietnam from 2015 to 2019, the findings of this study indicate several relationships  
among the study variables. Regarding direct relationships between board characteristics and firm  
performance, board size shows a significant and positive effect, but board independence and CEO duality  
indicates negative influences on performance; board educational level is found to have no significant impact  
on performance. With respect to moderating effect, family ownership negatively moderates the effects of  
board independence and board educational level on firm performance. The findings provide multiple  
implications related to governance practices, both at the firm level and policy level.  
Keywords: Board characteristics, corporate governance, family ownership, firm performance.  
JEL classification: M; M2, M12  
However, from previous studies, there are  
still contrasting and mixed conclusions (Adhikary  
& Le, 2014; Kiel & Nicholson, 2003; Vo & Phan,  
2013; Yermack, 1996). These inconclusive results  
might occur because of the absence of moderator  
variables, such as family control (Makhlouf, Laili,  
Ramli, Al-Sufy & Basah, 2018). In Vietnam, the  
ownership structure plays a vital role (Phung &  
Hoang, 2013), especially, when the decision  
makers (managers and board of directors)  
themselves are the shareholders or have control  
(i.e. family control). Hence, in this study, family  
control is measured as ownership, since family  
members can enact their influence through  
involvement not only in their presence in the  
board, but also in their ownership, leading to  
substantial impact on the governance and the  
management of businesses.  
1. Introduction  
Following the great financial fraud in big  
companies, like Enron, World Com, Cisco, etc.,  
corporate governance has been indicated as one of  
the most important commerce terms and one of  
the most noticed issues by researchers in the 21st  
century (Royaee & Dehkordi, 2013). Therefore,  
substantial attention has been put to the roles of  
the board of directors in strengthening corporate  
governance practices. The board plays a crucial  
role in corporate governance especially with  
respect to board characteristics. In other words,  
board characteristics are influential towards the  
effective implementation of corporate governance  
principles in organizations (Elad, Wong &  
Bongbee, 2018). Hence, research studying the  
characteristics of the board and firm performance  
has been done widely around the world.  
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From the above discussion, the objectives of  
the current study are: (1) to examine the direct  
relationships between four characteristics of board:  
board size, board independence, board educational  
level, CEO (chief executive officer) duality, and  
four dimensions of corporate performance,  
including return on assets (ROA), return on equity  
(ROE), Tobin’s Q ratio and Z-score; and (2) to  
explore the moderating role of family ownership in  
the relationships between the mentioned board  
characteristics and performance variables.  
This study is expected to have its importance  
both theoretically and practically. Theoretically, it  
would contribute to the literature beyond previous  
studies. Practically, this study can highlight the  
difference between the way family ownership and  
non-family ownership is governed, so different  
policy implications can be drawn. It is also  
expected that the conceptual model, methodology,  
and findings of this study can be used to help.  
2. Literature review  
of the board. The studies related to corporate  
governance are mostly based on agency theory  
(Heenetigala & Armstrong, 2011). Stewardship  
theory, the opposite of agency theory, is also  
widely used in research concerning corporate  
governance. Hence, these two theories are the  
ground theories used in this study.  
2.1.1. Agency theory  
Agency theory was first developed by Jensen  
and Meckling (1976). It revolves around the issue  
of the agency problem which is the problem  
between the principals (shareholders of company)  
and agents (managers of company). The  
principals delegate the work of running the  
business to the managers, who are agents of  
shareholders and expect the agents to act in the  
best interest of principals. However, the agent  
may be succumbed to self-interest, opportunistic  
behavior and fall short of expectations of the  
principal. Therefore, company value is considered  
to be maximized with optimum measures of  
supervision such as divided leadership, directors  
from outside and diversity of board (Heenetigala  
& Armstrong, 2011).  
2.1. Theories of corporate governance  
The importance of corporate governance has  
been increasing, especially in terms of supervision  
Figure 1. Agency theory model (Jensen & Meckling, 1976)  
2.1.2. Stewardship theory  
is reflective of a psychological contract or a close  
relationship with agent behaving in a community-  
focused manner, directing trustworthy moral  
behavior towards the firms and its shareholders  
(Davis, Frankforter, Vollrath, & Hill, 2007). Thus,  
stewardship theory holds that there would be no  
inherent, general problem of executive motivation  
(Donaldson & Davis, 1991).  
Stewardship theory was introduced by  
Donaldson and Davis (1991) as a normative  
alternative to the agency theory. The executive  
manager, under stewardship theory, far from being  
an opportunistic shirker, essentially wants to do a  
good job. The theory argues for the possible  
alignment between the principals and agents which  
Figure 2. Stewardship theory model (Donaldson & Davis, 1991)  
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poor monitoring roles of independent directors  
(Garg, 2007). A research was carried out by  
Abdullah (2004) in Malaysia also suggested no  
significant relationship between the variables.  
However, many empirical studies have  
agreed on the importance of independent directors  
to the success of a firm. Some show evidences that  
the high number of independent directors on the  
board increase the company’s financial  
performance. In addition, when a business  
environment worsens, firms with many  
independent directors have had lower probability  
of filing for bankruptcy (Daily, Dalton &  
Cannella, 2003). In contrast, the study of Kiel and  
Nicholson (2003) showed a negative relationship.  
The negative association may be due to high block  
holders’ own, which makes non-executive  
directors become powerless in board discussion.  
In Vietnam, many studies have found  
positive effect on performance variables: ROA,  
ROE, Tobin’s Q (Adhikary & Le, 2014), Z-score  
(Vo & Nguyen, 2014). Moreover, according to  
article 134 of the Enterprise Law 2014 applied in  
Vietnam, at least 20% of the members of the board  
of directors must be independent. This suggests  
that the Government of Vietnam also believes in  
the potential benefits that the independence of the  
board can bring for firms.  
2.2. Hypotheses development  
2.2.1. Influence of board size on corporate  
performance  
For the relationship between the size of a  
board and a firm’s performance, stewardship  
theory looks at positive aspects of small size of  
board which allows better interpersonal  
communication, more participation, and social  
cohesion among board members (Muth &  
Donaldson, 1998). Additionally, Yermack (1996)  
reported a strong inverse relationship between  
board size and firm performance.  
Conversely, agency theory supports the  
proposition that larger board size gives a firm  
greater value. If the board size is large, CEO will  
find it difficult to build a consensus and this will  
bring more perspectives in firm’s decision  
making. This reduction of the CEO’s domination  
on the board leads to more effective monitoring of  
management (Fauzi & Locke, 2012). In addition,  
Kiel and Nicholson (2003) found a positive  
relationship between board size and firm  
performance in large Australian firms because the  
additional directors on the board should bring  
more skilled personnel to the firm.  
Although there have been mixed results, it is  
possible that an inverted “U”-shaped relationship  
exists between the two variables (Kiel &  
Nicholson, 2003; Yermack, 1996). The positive  
effect of board size was found in Kiel and  
Nicholson (2003) where the board size’s mean is  
6.6, but the negative effect of board size was  
observed in Yermack (1996) where the figure is  
12.3. Yermack (1996) suggested that the largest  
part of lost value occurs as boards grow from  
small to medium size. Kiel and Nicholson (2003);  
Jensen (1993) argued that the addition of directors  
adds to the skills mix and performance till it  
reaches a point where the adverse dynamics of a  
large board outweigh the additional benefits of a  
greater skills mix. Based on this idea and given  
the mean board size in this study (5.75, see table  
2), it is expected that there is a positive  
relationship between board size and firm  
performance in Vietnam.  
Based on the aforementioned discussion, this  
study proposes the following hypothesis:  
Hypothesis 2. Board independence has a  
positive influence on firm performance.  
2.2.3. Influence of board educational level on  
corporate performance  
Research studies on the professional expertise  
of directors has been limited to date. A study that  
explored the relationship between board diversity  
and firm performance for European companies  
(listed in Italy, France, Germany, Spain and United  
Kingdom), with different elements of diversity,  
both demographic/social (gender, age and  
nationality diversity) and cognitive/professional  
(diversity in directors’ experience and education)  
considered, did not find a significant relationship  
between board professional diversity, or board  
educational level (calculated by the percentage of  
graduated directors) and ROA, although the  
coefficient in the regression model was positive  
(Ciavarella, 2017).  
Given the findings of existing research, it is  
logical to posit the following hypothesis:  
Hypothesis 1. Board size has a positive  
influence on firm performance.  
2.2.2. Influence of board independence on  
corporate performance  
In Asia, analyzing the top 100 Sri Lankan  
companies listed on Colombo Stock Exchange,  
There are mixed conclusions about the effect  
of board independence on corporate performance  
in different regions. The study in India showed  
that by having board independence did not  
guarantee to improve firm performance due to  
Somathilake (2018) identified  
a
positive  
significant relationship between the proportion of  
directors with Master of Science or Master of  
Business Administration and ROA. The study  
recommended that when firms hire directors, they  
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should consider their education backgrounds and  
they should choose those with high qualification.  
Besides, organizations were suggested to  
implement encouragement activities to get their  
directors to study and acquire higher degrees and  
deeper theoretical knowledge. In Indonesia, a  
positive effect of educational level and firm  
performance was also discovered (Darmadi,  
2013). The two-tier system adopted by the  
country’s Corporate Law, meaning there are two  
separate boards of directors that govern a  
company – board of commissioners (supervisory  
board) and board of management, has been typical  
for Indonesian firms. Darmadi (2013) found that  
the proportion of commissioners having  
postgraduate degrees and degrees from  
prestigious universities had marginally significant  
impacts on ROA; and, the influence of  
postgraduate degrees on held by board of  
management members on Tobin’s Q was  
significant and positive.  
The following hypothesis is formulated  
based on the previous findings:  
Hypothesis 3. Board educational level has a  
positive influence on firm performance.  
2.2.4. Influence of CEO duality on corporate  
performance  
Conflicting results have been drawn when  
examining the impact of CEO duality on  
performance variables. The direction and  
magnitude of CEO duality – performance  
relationship was tested in study of Boyd (1995).  
He used contingency model and presented that the  
CEO duality has highly positive association with  
performance in low munificent and high complex  
environment. Based on the study of Boyd (1995),  
using a huge database of over 11,000 Swedish  
firms from the year 2005 to 2009, Mohammadi,  
Basir & Lööf (2015) also suggested that the  
positive impact of CEO duality increases by firm  
performance measured by ROA.  
holding the position of chairman of the board of  
directors will be more effective. The studies of Vo  
and Phan (2013), and Vo and Nguyen (2014)  
identified a significant and positive relationship  
between duality and firm performance measured  
by ROA. These results supported the stewardship  
theory in which the concentration of power for the  
CEO in the board of directors will give the CEO a  
high self-determination, forming a clear and  
decisive leadership style, and thus creates better  
value and better company performance.  
From the previous discussion, the following  
hypothesis is tested:  
Hypothesis 4. CEO duality has a positive  
influence on firm performance.  
2.4.5. Moderating roles of family ownership  
In terms of moderating effect, few studies  
depend on the family control, or family  
ownership, as a moderating variable. With regard  
to family control (proportion of members of one  
family or relatives in the board of directors), on a  
panel data set drawn from Jordan firms from 2009  
to 2013, Makhlouf, Laili, Ramli, Al-Sufy and  
Basah (2018) found that there was a significant  
negative influence of family control on the  
relationship between the effectiveness of the  
board of directors and firm performance,  
specifically market-based variable Tobin’s Q, but  
insignificant effect with accounting variable  
ROA. They assumed that the families’ members  
use their positions to benefit their own interests,  
and ignore the firm's interests, which leads to  
agency problem. Their study suggested that future  
studies should use other measurements for family  
control such as family ownership (percentage of  
shares). Further, the differences of effect with two  
dependent variables are because of their  
respective advantages and disadvantages;  
therefore, it is necessary to incorporate both in  
research (Makhlouf, Laili, Ramli, Al-Sufy &  
Basah, 2018).  
On the contrary, CEO duality has been  
proven to have negative effect. Dogan (2013)  
examined the relationship for a sample of 204  
listed firms on Istanbul Stock Exchange (ISE)  
between the years 2009 and 2010 in Turkey.  
ROA, ROE and Tobin’s Q were used as  
financial performance measures, and the results  
showed that CEO duality had a negative impact  
on the firm performance, consistent with the  
agency theory. More interestingly, the direction  
of impact of CEO duality on corporate  
performance can be contrasting when using  
different dependent variables.  
Up to now, the corporate governance legal  
framework has been fully compliant with the  
requirements and governance principles of the  
world. However, with many Vietnamese  
companies, corporate governance is still limited  
and weak (Nguyen & Vo, 2015). These weak  
applications of corporate governance can make  
family effect adversely influences the impact of  
governance on firm performance.  
From the above discussion, the following  
hypotheses are proposed:  
Hypothesis 5a. Family ownership negatively  
moderates the influence of board size on firm  
performance.  
In Vietnam, many studies have suggested  
that companies having the CEO concurrently  
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Hypothesis  
5b.  
Family  
ownership  
Hypothesis  
5d.  
Family  
ownership  
negatively moderates the influence of board  
independence on firm performance.  
negatively moderates the influence of CEO  
duality on firm performance.  
Hypothesis 5c. Family ownership negatively  
moderates the influence of board educational level  
on firm performance.  
The proposed hypotheses are illustrated in  
the figure 3.  
Figure 3. Proposed model showing relationships among the study variables  
Based on previous studies, firm size and  
companies, insurance firms and investment funds  
due to significant difference of the capital  
structures and operations’ requirements. Because  
there is fragment of this public data set, it is  
necessary to use several other sources which are  
publicly available such as firms’ annual reports,  
corporate governance reports and the firms’  
information on two websites - cafef.vn and  
vietstock.vn. After eliminating outliers, the final  
data set remains at 1,120 samples of 225 firms.  
3.2. Measurement  
leverage are often included in the models as control  
variables, so they are adopted in this study. For  
leverage, debt ratio (liabilities over assets) is  
selected since it is a popular financial ratio and it is  
not complex to collect information and calculate.  
The debt ratio is also used in the study of Makhlouf,  
Laili, Ramli, Al-Sufy and Basah (2018).  
3. Methodology  
3.1. Data collection  
Data are collected at the firm level from the  
data set of HOSE from 2015-2019. The data  
sample does not include banks, financial  
Variables and their measurement are  
summarized in Table 1 below.  
Table 1: Measurement of variables  
No. Variables  
Measurements  
References  
Independent variables: Board of directors' characteristics  
The number of directors on the board  
Adhikary and Le (2014); Vo and Nguyen  
(2014); Vo and Phan (2013)  
1
2
BSIZE  
BIND  
The number of outside directors classified as Adhikary and Le (2014); Kiel and  
“independent directors” scaled by board size  
Nicholson (2003); Vo and Phan (2013)  
The number of board members that have Ciavarella (2017); Darmadi (2013);  
postgraduate degrees (at least Master degree) Somathilake (2018)  
divided by board size  
Binary variable, equals “1” if the chairman also Abdullah (2004); Dogan (2013); Vo and  
holds CEO position, and “0” if there is separation of Phan (2013)  
ownership and management  
3
4
BEDU  
CDUAL  
Dependent variables: Firm performance  
Abdullah (2004); Ciavarella (2017);  
Dogan (2013); Vo and Nguyen (2014)  
Abdullah (2004); Dogan (2013);  
ROA = (Net income)/(Total assets)  
5
6
ROA  
ROE  
ROE = (Net income)/(Total equity)  
Ciavarella (2017); Vo and Nguyen (2014)  
Q = (Market capitalization) / (Book value of equity) Dogan (2013); Fauzi and Locke (2012)  
7
Tobin’s Q Market capitalization = EPS x P/E x number of total  
outstanding shares.  
Z = 1.2X1 + 1.4X2 + 3.3X3 + 0.6X4 + 0.999X5  
(X1 =Working capital/Total assets;  
Altman (1968); Vo and Nguyen (2014)  
X2 = Retained earnings/Total assets;  
X3 = Earnings before interest and taxes/Total assets;  
X4 =Market capitalization/Total liabilities; and  
X5 = Sales/Total assets)  
8
Z-score  
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Table 1: Measurement of variables  
Moderating variable: Family ownership  
Binary variable, equals “1” for family firms, and “0” Atılgan (2019); Banalieva and Eddleston  
for non-family firms. A family business is the (2011); La Porta, Lopez de Silanes and  
company that one family’s members have a Shleifer (1999)  
minimum ownership stake of 20%. The presence of  
family members is considered in both the board of  
directors and the board of managers or chief  
9
FOWN  
accountant. In addition, family relationship is  
considered in several generations. It means that  
distant relatives such as the grandmother or  
grandfather, father or mother, siblings or half-  
siblings, aunt or uncle, niece or nephew, and cousins  
should be considered in a family.  
Control variables  
The natural log of the book value of total assets  
Total liabilities / Total assets  
Adkihary and Le (2014); Makhlouf, Laili,  
Ramli, Al-Sufy and Basah (2018)  
Makhlouf, Laili, Ramli, Al-Sufy and Basah  
(2018)  
10  
11  
FSIZE  
LEV  
unobservable heterogeneity for each observation  
in the sample to be eliminated and  
multicollinearity among variables to be  
decreased. There are three regression models used  
to analyze the panel data set to choose: fixed effect  
model (FEM), random effect model (REM), and  
generalized least squares (GLS) model. To choose  
the optimal model, three tests are used: Hausman  
test (to choose between FEM and REM),  
heteroskedasticity tests, and Wooldridge test  
(autocorrelation test).  
3.3. Data analysis  
In order to find the relationship between  
board structure and firm performance and the  
moderating role of family ownership, the  
following regression models are used.  
Model 1: Testing the direct relationship  
between board characteristics and corporate  
performance variables.  
(1) Performanceit = α0 + α1BSIZEit + α2BINDit +  
α3BEDUit + α4CDUALit + (control variables) + uit  
Model 2: Testing the effect of moderator on  
the relationship between variables.  
4. Results  
(2) Performanceit = α0 + α1BSIZEit  
+
4.1. Descriptive analysis  
α2BINDit + α3BEDUit + α4CDUALit + (control  
variables) + β1FOWNit + β2BSIZEit*FOWNit +  
Table 2 shows the descriptive analysis about  
the variables of study including number of  
observations, mean, standard deviation, max  
value and min value of variables.  
β3BINDit*FOWNit  
+
β4BEDUit*FOWNit  
+
β5CDUALit*FOWNit + uit  
Using Stata statistical software, this study  
uses panel data approach, which allows the  
Table 2: Descriptive analysis  
Mean Std. Dev.  
5.623 5.587  
Variable  
ROA  
ROE  
Obs  
Min  
-14.49  
-187.47  
0.1  
-0.43  
3
0
0
Max  
29.9  
68.73  
4.91  
25.68  
11  
0.83  
1
1
1,120  
1,120  
1,120  
1,120  
1,120  
1,120  
1,120  
1,120  
1,120  
1,120  
1,120  
1,120  
10.463  
1.129  
2.821  
5.751  
0.217  
0.280  
0.248  
0.197  
10.317  
28.201  
0.484  
12.973  
0.769  
2.388  
1.308  
0.184  
0.250  
0.432  
0.398  
16.027  
1.267  
0.199  
TobinsQ  
Zscore  
BSIZE  
BIND  
BEDU  
CDUAL  
FOWN  
FOWN (%)  
FSIZE  
0
0
0
1
80.76  
33.63  
0.97  
25.58  
0.03  
LEV  
In terms of performance, both ROA and  
ROE’s means suggesting that the majority of  
firms’ performance is good. For Tobin’s Q, the  
mean around 1.13 is also considered as good  
performance, and it may indicate that the stock is  
overvalued.  
Z-score  
presents  
acceptable  
32  
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performance in Vietnamese listed firms on HOSE;  
it averages 2.82 which is in the high-end of the  
grey zone from 1.8 to 2.99.  
which is only a half of the number in the current  
study. These suggest that family ownership in a  
company has increased over time.  
Regarding the board characteristics, board  
size in Vietnamese listed firms on HOSE' ranges  
from 3 to 11 directors, with 6 in average,  
suggesting that most firms have sufficient  
directors. Moreover, the low representation of  
independent directors and highly educated  
directors suggests that the involvement of them is  
still uncommon in Vietnamese listed firms.  
Similarly, CEO duality is not too popular as well,  
with around 24.82% of firms in average have  
duality of CEO and chairman positions.  
With respect to moderating variable,  
approximately 19.73% of firms that have a family  
owning at least 20% of total outstanding shares.  
The average ownership of a dominated family is  
10.32%. In the study of Nguyen and Vo (2019)  
which studied 315 HOSE companies from 2013 to  
2017, family ownership averaged at around 4.8%  
Concerning control variables, the mean value  
of leverage is 0.48, indicating that most of the  
firms' assets are financed quite well-balanced  
through equity and liabilities.  
4.2. Diagnostic tests  
4.2.1. Correlation matrix and variance inflation  
factor (VIF)  
Table 3. shows the correlation among  
variables, in which, there is no significant  
relationship among independent variables. The  
maximum coefficient of correlation matrix is  
0.112 via relationship between board size and  
board independence. In addition, the VIF factor  
(Variance Inflation Factor) is also presented in  
Table 3. In general, the VIF factors are smaller  
than 10 and the maximum value is 1.41. It means  
that the model does not contain multicollinearity.  
Table 3: Correlation matrix among variables  
ROA  
1
ROE  
TobinsQ  
Zscore  
BSIZE  
BIND  
BEDU  
CDUAL  
FOWN  
FSIZE  
LEV  
VIF  
ROA  
ROE  
0.752  
1
TobinsQ 0.518  
0.372  
0.326  
0.075  
1
Zscore  
BSIZE  
BIND  
BEDU  
0.639  
0.050  
0.485  
0.150  
-0.044  
0.111  
-0.032  
-0.048  
0.125  
-0.048  
1
-0.041  
0.027  
0.051  
-0.032  
-0.058  
-0.254  
-0.565  
1
1.16  
1.04  
1.17  
1.13  
1.15  
1.41  
1.18  
-0.005 -0.022  
0.066 0.026  
0.112  
0.063  
-0.064  
0.043  
0.339  
0.03  
1
0.013  
0.142  
0.051  
0.024  
1
CDUAL -0.047 -0.037  
-0.083  
-0.154  
0.281  
1
FOWN  
FSIZE  
LEV  
-0.032  
0.027  
0.297  
-0.038  
0.029  
1
-0.109 -0.007  
-0.413 -0.090  
0.073  
0.132  
1
-0.075 -0.109  
0.300  
1
4.2.2. Choosing the appropriate regression model  
for panel data  
Wooldridge test is conducted to check  
whether there is an autocorrelation issue in the  
data. The result shows that 6 models suffer from  
autocorrelation, where the p-value < 0.05 (1, 3, 4,  
5, 7, 8), and 2 models have no autocorrelation,  
where the p-value > 0.05 (2, 6).  
Table 4. shows the three tests to choose  
between FEM, REM, and GLS. At first, Hausman  
test is conducted for 8 models, and 6 models (1, 2,  
4, 5, 6, 8) have p-value > 0.05 which indicates that  
the REM should be used instead of FEM, and 2  
models (3, 7) have p-value < 0.05 which indicates  
that the FEM is more appropriate.  
Then, heteroskedasticity test is run. For 6  
models that use REM (1, 2, 4, 5, 6, 8), Breusch  
and Pagan Lagrangian multiplier test is used, and  
for 2 models that use FEM (3, 7), Modified Wald  
test is used. There is heteroskedasticity problem in  
all 8 models.  
All  
8
models have heteroskedasticity  
problem and 6 out of 8 models have  
autocorrelation problem. Therefore, GLS is a  
more appropriate model to be used, since GLS is  
better  
heteroskedasticity  
(Wooldridge, 2002).  
suited  
when  
the  
model  
autocorrelation  
has  
and  
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Table 4: Choosing the appropriate regression model for panel data  
Hausman test  
(FEM or REM)  
Heteroskedasticity test  
(Modified Wald test for FEM,  
Breusch and Pagan Lagrangian  
multiplier test for REM)  
Chi2 (Prob > chi2)  
782.71 (0.000)  
Autocorrelation test  
(Wooldridge test)  
Chi2 (Prob > chi2)  
9.36 (0.154)  
Chi2 (Prob > chi2)  
40.639 (0.000)  
2.689 (0.102)  
58.248 (0.000)  
7.257 (0.008)  
42.965 (0.000)  
2.677 (0.103)  
62.690 (0.000)  
ROA  
ROE  
TobinsQ  
11.71 (0.069)  
41.12 (0.000)  
3.93 (0.686)  
13.63 (0.254)  
14.66 (0.199)  
55.46 (0.000)  
189.43 (0.000)  
3.1e+06 (0.000)  
1076.23 (0.000)  
770.44 (0.000)  
183.91 (0.000)  
9.8e+05 (0.000)  
Model 1  
Model 2  
Zscore  
FOWN, ROA  
FOWN, ROE  
FOWN,  
TobinsQ  
FOWN, Zscore  
10.60 (0.478)  
1058.26 (0.000)  
6.893 (0.009)  
table, there is a positive relationship between  
board size and firm performance. In contrast, the  
effect of board independence and CEO duality is  
found to be negative on firm performance. For the  
relationship between board educational level and  
the performance of firms, there is no significant  
effect found.  
4.3. Generalized least squares (GLS) model  
results  
4.3.1. Direct influence of board characteristics on  
corporate performance  
Table 5 summarizes the GLS regression  
results for model 1 which tests the direct  
relationship between board characteristics and  
performance variables. As observed from the  
Table 5: GLS model results for testing the direct relationship between board characteristics and  
corporate performance variables  
(1) ROA  
Coefficient  
0.264 ***  
-0.0344  
-0.0218  
-0.339 *  
-0.083  
-11.66 ***  
11.96 ***  
(2) ROE  
Coefficient  
0.607 ***  
-1.754 **  
0.801  
-0.741 **  
-0.154  
-4.153 ***  
13.71 ***  
(3) TobinsQ  
Coefficient  
0.0358 ***  
-0.159 **  
0.102  
-0.0275  
0.00752  
-0.158 **  
0.610  
(4) Zscore  
Coefficient  
0.0145  
-0.202  
0.0679  
BSIZE  
BIND  
BEDU  
CDUAL  
FSIZE  
LEV  
-0.0051  
-0.212 ***  
-5.462 ***  
11.04 ***  
Cons  
Note: * p<0.1, ** p<0.05, *** p<0.01  
4.3.1.1. Influence of board size on corporate  
performance  
and increase firms’ profitability (Nguyen, Doan &  
Nguyen, 2020). Additionally, although some  
papers have argued that larger boards are  
ineffective due to the lack of coordination and  
free-rider problems (Jensen, 1993), the maximum  
board size of Vietnamese listed HOSE companies  
is 11 members with an average of six board  
members, which is not high compared to the board  
size in other countries around the world (from 3 to  
31 members). This suggests that with the  
appropriate number of directors, Vietnamese  
director boards can still maintain their  
effectiveness in monitoring the CEO and  
management team.  
4.3.1.2. Influence of board independence on  
corporate performance  
In terms of board independence, negative  
relationships with ROE and Tobin’s Q are found,  
hence hypothesis 2 is rejected. Those results also  
indicate that the higher the proportion of  
With regard to board size, its coefficient  
exhibits strongly significant and positive  
relationships with 3 performance variables ROA,  
ROE, and Tobin’s Q which supports the agency  
theory that larger board size creates greater firm  
value. For the relationship between board size and  
Z-score, the model shows positive but  
insignificant relationship. Therefore, hypothesis 1  
is partially supported. This can be explained that  
in Vietnam, the small board of directors tends to  
be dominated and manipulated by the  
management team. Due to the lack of control in a  
small board, the management team easily  
overtake at work and conceal material issues.  
Therefore, larger boards which can generally  
spend more time and experience are supposed to  
be better. Hence, Vietnamese listed companies  
with larger board size may reduce agency costs  
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independent directors on board is, the lower  
performance firms have.  
performance variables are non-significant. Thus,  
education backgrounds of directors do not play a  
significant role in determining the company’s  
performance, countering hypothesis 3. The  
insignificant result indicates that it is not education  
that mainly helps the firm’s performance, but maybe  
due to other characteristics of the board such as  
disciplinary attitude and working experience. In  
Vietnam, most of business schools emphasize too  
much abstract theories and do not put enough  
attention to improving practical skills. They are  
more focused on research education rather than  
practical management. Thus, education seems to be  
of little importance to practical tasks that directors  
have to deal with in real business environment.  
4.3.1.4. Influence of CEO duality on corporate  
performance  
These findings are opposite to discussed  
article 134 of the Enterprise Law 2014 stating  
that at least 20% of the board must be  
independent. The contradiction may be due to the  
idea that independent directors are unnecessary  
in Vietnamese companies. Thus, there are  
chances that many firms appoint independent  
directors just to comply with the law, or in some  
cases they even mistaken what criteria that make  
an independent director.  
Further, the in-depth discussion of roles of  
independent directors are taken. In countries with  
weak corporate governance, independent  
directors may not fully recognize their duties due  
to the lack of detailed guidelines in the  
governance codes. Using qualitative research  
method to collect information on the perceptions  
of independent directors about their roles and  
challenges on their boards, Nguyen, Evans and Lu  
(2017) found that in the advisory role, Vietnamese  
independent directors were facing several  
difficulties. The first one was information  
asymmetry between insiders and outsiders, which  
is also an issue in transition economies. In  
addition, independent directors claimed that  
CEOs intentionally held back information, and  
that they needed to rely mostly on public  
information and information from the formal  
board meeting. That prevented them from having  
sufficient information to understand the nature of  
decisions to be made (Nguyen, Evans & Lu,  
2017). Therefore, the roles of independent  
directors in Vietnamese board are not fulfilled and  
board effectiveness can be decreased due to the  
lack of quality advice and monitoring.  
Additionally, Ni and Purda (2012) observed  
that independent directors can diminish firm  
performance since an increase in the proportion of  
t on a firm’s board leaded to more conservative  
operating decisions. These decisions contributed to  
the consequences that idiosyncratic risk was lower  
and stock returns had less negative skewness,  
implying a lower risk of stock price crash.  
However, investment rates were lower, growth  
opportunities were reduced, and the firms were less  
likely to make acquisitions. This can help explain  
the reason why independent directors can diminish  
firm performance since conservative decisions may  
result in missed opportunities for risky but  
potentially large gains (Ni & Purda, 2012).  
Regarding CEO duality, similar to board  
independence, all  
4
coefficients with  
4
performance variables are negative. Yet, only  
influence of CEO duality on 2 accounting  
measures (ROA and ROE) are statistically  
meaningful. The results support the agency theory  
which confirms that the firm with split titles of  
CEO and chairman of the board will improve its  
performance, and so hypothesis 4 is rejected.  
The findings comply with the Decree  
71/2017 established the Government of Vietnam,  
stating that in public companies, the duality of the  
roles of CEO and chairman is banned without any  
exception. This will take effect from August 1st,  
2020, and is supported by listed companies,  
including family-owned companies (Nguyen,  
2017). In Vietnamese enterprises, the CEO often  
depends on the major shareholders in the business,  
so they often run the company for the benefit of  
these big owners. The interests of major  
shareholders and business interests (including the  
interests of minor shareholders) are sometimes  
heterogeneous. This distorts the implementation  
of the owners' resolutions in general and damages  
minor shareholders. Furthermore, the key task of  
the board of directors is to supervise the board of  
management to operate effectively. This will be  
difficult to implement if the chairman of the board  
of directors is also the person assigned to manage  
the firm. Another reason is related to time  
management of the CEO. CEOs are often very  
busy people because of the day-to-day running of  
the company and their responsibilities are often  
given priority to the responsibilities of the  
chairman of the board.  
4.3.1.3. Influence of board educational level on  
corporate performance  
With respect to board educational level, the  
relationships of professional diversity on all 4  
4.3.2. Moderating roles of family ownership  
Table 6. summarizes the GLS regression  
results for model 2 which tests the effect of  
moderator FOWN between board characteristics  
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and performance variables. From the table, it is  
noticeable that family ownership plays a negative  
moderating role in the relationship between board  
independence and performance and the  
relationship between board educational level and  
performance. However, the moderating effects of  
family ownership on the relationship between  
board size and CEO duality with performance are  
not statistically significant.  
Table 6: GLS model results for testing the effect of moderator on the relationship between variables  
(5) ROA  
Coefficient  
0.259 ***  
0.0801  
0.0633  
-0.35 *  
-0.0843  
-11.57 ***  
0.842  
(6) ROE  
Coefficient  
0.549 ***  
-2.126 **  
1.657 **  
-0.739 **  
-0.146  
(7) TobinsQ  
Coefficient  
0.0321 ***  
-0.184 ***  
0.104  
-0.0265  
0.0124  
-0.158 *  
-0.255  
(8) Zscore  
Coefficient  
-0.00499  
-0.032  
0.143  
0.0398  
-0.212 ***  
-5.45 ***  
0.076  
BSIZE  
BIND  
BEDU  
CDUAL  
FSIZE  
LEV  
FOWN  
-4.204 ***  
-0.243  
BSIZEFOWN  
BINDFOWN  
BEDUFOWN  
CDUALFOWN  
Cons  
-0.097  
-0.913  
-0.466  
0.126  
0.265  
4.197  
-3.642 *  
-0.871  
13.45 ***  
0.0216  
0.189  
-0.198  
0.0384  
0.056  
-0.821 **  
-0.65 **  
-0.0636  
11.09 ***  
11.71 ***  
0.516  
Note: * p<0.1, ** p<0.05, *** p<0.0  
For the moderating effects of FOWN, the  
coefficients of board variables (alphas) and  
interaction variables (betas) are taken into  
account. In particular, for FOWN’s effect on  
BIND and performance variables, the coefficients  
of BIND (α2) and the coefficients of interaction  
term BIND*FOWN (β3) are considered. For  
BIND, its coefficients are negative on ROE and  
Tobin’s Q, meaning that when a business is non-  
family-owned, BIND has negative effect on ROE  
and Tobin’s Q. As regards the interaction variable  
BIND*FOWN, effect on Z-score is significant  
and negative, meaning that when a business is  
family-owned, having a lot of independent  
directors on the board can cause adverse effect on  
the risk of bankruptcy of the firm, but  
insignificant impacts on other variables.  
Therefore, hypothesis 5b is partially accepted. It  
can be explained that in family firms, the  
dominating family members have the powerful  
voice and can have the last saying on the decision-  
making processes. The presence of independent  
directors may be uninfluential on these firms, or  
worse, it can cause conflict between independent  
directors and other directors that are close with the  
dominating family or under pressure by their  
power, rather than contributing to the  
effectiveness of the board by providing objectivity  
to the board. Such conflict leads to lower  
performance of the firm.  
significantly positive, suggesting that in non-  
family firms, BEDU has positive effect, but  
BEDU*FOWN’s coefficient on ROE is negative,  
suggesting that in family firms, that positive effect  
is lower compared to in non-family ones. That  
means FOWN negatively moderates the effect of  
BEDU on ROE. For other performance variables,  
BEDU’s coefficient is positive but insignificant;  
BEDU*FOWN’s coefficient is significantly  
negative on Z-score, but insignificant on ROA and  
Tobin’s Q. Overall, this indicates that family  
ownership has a negative moderating effect on the  
relationship between board educational level and  
firm performance (ROE and Z-score), or in other  
words, in a family firm, more members with  
postgraduate degrees can lower firm performance  
more compared to the context in a non-family one.  
Hence, hypothesis 5c is partially accepted. The  
reason for this circumstance is similar to the one  
with board independence. In Vietnam family  
firms, the influence of the dominating family on  
the process of making decision in corporate  
activities is enormous that the words of highly  
educated directors are ignored or sometimes  
generate discord between the two, assume that the  
dominating family usually has few directors  
holding high-level qualifications. Nonetheless,  
this assumption needs more testing, so in the  
forthcoming studies, descriptive statistics of  
family and non-family firms should be separated  
and the number of directors holding postgraduate  
degrees in the dominating family in family firms  
should be included. Moreover, in family  
businesses, they are used to dealing with problems  
by utilizing their experience and self-learned  
For the moderating effect of FOWN on the  
relationship between BEDU and performance  
variables, the coefficients of variable BEDU (α3)  
and interaction variable BEDU*FOWN (β4) are  
considered. BEDU’s coefficient on ROE is  
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knowledge. Directors holding high qualifications  
may advise others with too much theories which  
cause confusion or cannot be applied effectively  
within the practical business.  
variables, suggesting that the study fails to  
confirm a significant moderating effect of family  
ownership on the relationship of board size and  
CEO duality with firm performance. Thus,  
hypotheses 5a and 5d are rejected.  
Regarding  
the  
interaction  
variable  
BSIZE*FOWN and CDUAL*FOWN, no  
significant effect is found on performance  
Table 7. below provides an overview of  
findings compared to hypotheses.  
Table 7: Hypotheses testing  
Hypotheses (predicted effect direction)  
Supported or not  
Details  
supported (effect  
direction in results)  
Hypothesis 1. Board size has a positive Partially  
upported Effects on ROA, ROE, Tobin’s Q are  
positive. Effect on Z-score is  
insignificant.  
influence on firm performance (Positive)  
(Positive)  
Hypothesis 2. Board independence has a  
positive influence on firm performance  
(Positive)  
Not supported  
(Negative)  
Effects on ROE, Tobin’s Q are negative.  
Effects on ROA, Z-score are  
insignificant.  
Hypothesis 3. Board educational level has a  
positive influence on firm performance  
(Positive)  
Not supported  
(Insignificant)  
Effects on ROA, ROE, Tobin’s Q, Z-  
score are insignificant.  
Hypothesis 4. CEO duality has a positive  
influence on firm performance (Positive)  
Not supported  
(Negative)  
Effects on ROA, ROE are negative.  
Effects on Tobin’s Q, Z-score are  
insignificant.  
Hypothesis 5. Family ownership negatively  
moderate the relationship between board  
characteristics and firm performance  
(Negative)  
Partially supported  
(Negative)  
FOWN negatively moderates BIND on  
Z-score. FOWN negatively moderates  
BEDU on ROE and Z-score.  
Other  
moderating  
effects  
are  
insignificant.  
implemented for companies that misidentify  
independent board members; their corporate  
governance scores should be reduced more  
heavily. Thus, the awareness of the significance of  
independent directors and corporate governance  
will be raised. Then, when they can perform their  
roles without information restrictions from the  
insiders, they will contribute positive effects on  
firms’ performance.  
5. Conclusion  
5.1. Implications  
Theoretically, the research makes  
a
contribution to the corporate governance literature  
by studying the effects of board characteristics on  
firm performance. Further, to the best of the  
author’s knowledge, this is the first study which  
examines the moderating effect of family  
ownership on the relationship between board  
characteristics and firm performance.  
Third, from the results of the insignificant  
influence of board members’ educational level, it  
is recommended that when it comes to someone  
being voted or appointed into the board of  
directors, in terms of educational background,  
high degree should not be a critical requirement.  
Fourth, CEO duality’s negative impact on  
corporate performance indicates that firms should  
separate the titles of CEO and chairman instead of  
having one person take responsibilities of the two  
positions. When the Decree 71/2017 about  
banning CEO duality takes effect in August 2020,  
regulators should enforce the law rigorously.  
Fifth, the negative moderating effects of  
family ownership on the influences of  
independent directors and board educational level  
on firm performance indicate that, at the policy  
level, regulators should draw some policies to  
lessen the power of the dominating family in  
family firms, or, consider to limit the number of  
Practically, this study has multiple important  
implications.  
First, from the findings of the positive effect  
of board size, the author suggests that, at the firm  
level, corporations in Vietnam should follow a  
large board size. The Enterprise Law 2014 limits  
the board size number from 3 to 11, so firms  
should seek the higher end of that range (from the  
mean of 6 to the maximum of 11).  
Second, some suggestions are made after  
observing the negative effect of independent  
directors. Rather than implicating firms to limit  
the number of independent members on their  
boards, the author suggests that at the policy level,  
Government of Vietnam, Security Exchange  
Commission and other relevant authorities in  
Vietnam should act strongly and quickly to ensure  
that the law provisions of independent directors  
are strictly followed. Sanctions should be  
37  
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boards consisting of family that can hold to their  
ownership proportion.  
5.2. Limitations and future research  
and other ownership factors such as state  
ownership and foreign ownership. Thirdly, the  
assumption that the dominating family usually has  
few highly educated directors (to explain the  
negative moderating effect of family ownership  
on the relationship between board educational  
level and firm performance) is not tested. Hence,  
future research can be undertaken to investigate  
this assumption and give a clearer explanation on  
the aforementioned effect. Lastly, the board  
characteristics in this study only include four  
variables, so it will be better to incorporate other  
characteristics such as board age, gender  
diversity, board experience, etc.  
This study is still subject to some limitations  
which provide opportunities for future research.  
Firstly, the selection of firms is restricted to non-  
financial firms (industrial and service firms),  
while financial firms are excluded. Thus, it would  
be useful to for future studies to examine such  
relationship on financial firms. Secondly, this  
study focuses on the moderating effect of family  
ownership in board of directors, so it would be  
useful for forthcoming research to use other  
measurements for family power or control such as  
family presence, measurements for founder effect,  
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Thông tin tác giả:  
Ngày nhận bài: 21/10/2020  
Ngày nhận bản sửa: 04/12/2020  
Ngày duyệt đăng: 30/12/2020  
1. Trương Bảo Thạch  
- Đơn vị công tác: Trường Đại học Bách khoa – ĐHQG HCM  
- Địa chỉ email: thach2906@gmail.com  
2. Phạm Tiến Minh  
- Đơn vị công tác: Trường Đại học Bách khoa – ĐHQG HCM  
39  
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