The Influence of Board Ownership on Bank Performance: Evidence from Saudi Arabia

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Omer Saeed HABTOOR / Journal of Asian Finance, Economics and Business Vol 8 No 3 (2021) 1101–1111                            1101

Print ISSN: 2288-4637 / Online ISSN 2288-4645
doi:10.13106/jafeb.2021.vol8.no3.1101

                      The Influence of Board Ownership on Bank Performance:
                                    Evidence from Saudi Arabia

                                                                            Omer Saeed HABTOOR1

                              Received: November 30, 2020                     Revised: February 01, 2021 Accepted: February 16, 2021

                                                                                        Abstract
The current study aims to investigate the influence of different categories of ownership held by different types of board members on bank
performance. The study uses a sample of Saudi listed banks for the period from 2011 to 2018. The results of the panel data analysis using
firm fixed-effects regression model indicate that bank performance is significantly and positively affected by the chairman ownership
and the CEO ownership. However, board independent members’ ownership has a negative influence on bank performance. While
non-executive board members’ ownership and family board members have an insignificant impact on bank performance. Control variables,
including board size, non-executive board members, government ownership, leverage, and bank size are significantly associated with bank
performance. Overall, the results indicate that Saudi bank performance is higher in smaller banks that have smaller boards with lower
non-executive members, lower portion of shares held by independent board members, higher portion of shares held by the chairman,
CEO, and government, and higher leverage. The results of this study provide important implications for regulatory authorities and market
participants in Saudi Arabia and countries with ownership concentration to understand the actual role of different categories of board
ownership on firm performance in addition to optimize board ownership.

Keywords: Board Ownership, Chairman Ownership, CEO Ownership, Bank Performance, Saudi Arabia

JEL Classification Code: G32, G21, L25

1. Introduction                                                                                  suggested, such as board composition, inside ownership or
                                                                                                 board ownership and outside ownership as means to control
    The association between ownership structure and firm                                         agency conflicts and mitigate agency costs.
performance has become an issue of interest and attracted a                                          Accounting theories, including agency theory and
considerable attention among academics, regulatory bodies,                                       entrenchment theory highlight the critical role of inside
and market participants. Agency theory suggests that the type                                    ownership or board members’ ownership such as executive,
of the company owners and the size of their ownership could                                      non-executive, and independent board members’ ownership,
significantly affect agency conflicts, and thus, firm performance.                               chairman ownership, CEO ownership, and family board
    Haniffa and Hudaib (2006) argue that there are various                                       members’ ownership. These theories suggest that such types
internal and external governance mechanisms have been                                            of board ownership can act as a double-edged sword in terms
                                                                                                 of their influence on agency costs and firm performance.
                                                                                                     Board members’ ownership could reduce agency
                                                                                                 conflicts as a result of the alignment of interests between
 First Author and Corresponding Author. [1] Assistant Professor,
1
                                                                                                 board members and owners. However, higher levels of board
 Department of Administrative Sciences, Community College,
 Northern Border University, Saudi Arabia [2] Department of                                      ownership could create a state of entrenchment, and thus,
 Accounting, Faculty of Administrative Sciences, Aden University,                                exacerbate agency conflicts by encouraging controlling
 Yemen [Postal Address: Community College Rafha, Al Qadisiyah                                    shareholders to act opportunistically to expropriate wealth
 Street, Rafha, 76321, Northern Borders Region, Saudi Arabia]
 Email: omer.habtoor@nbu.edu.sa; omerhabtoor@hotmail.com
                                                                                                 from other shareholders (Morck et al., 1988; Shleifer &
                                                                                                 Vishny, 1997).
© Copyright: The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution       Despite the extensive research on the relationship
Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits
unrestricted non-commercial use, distribution, and reproduction in any medium, provided the
                                                                                                 between ownership structure and firm performance, most
original work is properly cited.                                                                 efforts focused on the impact of outside ownership such as
1102                  Omer Saeed HABTOOR / Journal of Asian Finance, Economics and Business Vol 8 No 3 (2021) 1101–1111

government, institutional, and foreign ownership on firm             attempts to narrow the gap in literature on the influence of
performance (e.g., Ehrhardt et al., 2006; Hu & Izumida,              board ownership on firm performance by investigating the
2008; Kao et al., 2019), and less attention has been paid            potential role of different types of ownership held by board
to the potential role of inside ownership, in general, and           members on Saudi bank performance. Second, this study
board ownership, in specific, such as the chairman, CEO,             extent the existing literature by the focus on an emerging and
independent, non-executive, and executive board members’             developing country with different social, economic, legal,
ownership on bank performance. Moreover, most research               and institutional contexts from developed countries. Third,
on the influence of board ownership on firm performance              the results of this study provide a comprehensive view of
is mostly conducted in developed countries and the                   the role of different types of board ownership on Saudi bank
evidence is even inconclusive (e.g., Bhagat & Bolton,                performance, which have not been previously documented.
2013; Krivogorsky, 2006; Merendino, & Melville, 2019;                Finally, the results of the current study have important
Shan, 2019). Furthermore, little research has been directed          implications for policy makers, regulatory authorities, and
at emerging markets such as the Gulf Cooperation Council             market participants in Saudi Arabia and countries with high
(GCC), in general, and Saudi Arabia, in particular.                  concentrated ownership to understand the potential role of
    In addition, prior work on the relationship between              different types of board ownership on firm performance, and
board ownership and firm performance has either addressed            to optimize board ownership and improve firm performance.
a specific type of board ownership or use a single scale of              The remainder of this study is structured as follows.
different types of ownership related to board members and            Section 2 presents the literature review and hypotheses
executive managers (e.g., Al Farooque et al., 2020; Amran            development. Section 3 explains the research methodology.
et al., 2008; Berke-Berga et al., 2017; Bhagat & Bolton,             Section 4 discusses the main results of the study. Conclusions,
2013; Krivogorsky, 2006; Shan, 2019; Tleubayev et al.,               limitations, and future research are presented in Section 5.
2020) instead of using an accurate measure representing each
type of board members’ ownership Therefore, the current              2. Literature Review and
study aims to narrow the gap in literature by investigating              Hypothesis Development
the potential impact of different types of ownership related
to board members, including independent board members’                   Accounting theories suggest that ownership structure
ownership, non-executive board members’ ownership,                   have strong and mixed effects on agency conflicts, and thus,
chairman ownership, CEO ownership, and family board                  firm performance. While prior empirical studies focused
members on Saudi bank performance.                                   on the role of outside ownership on firm performance, less
    The focus on board ownership in Saudi listed banks               attention has been given to inside ownership and board
is motivated by the following reasons. First, this study is          ownership such as independent board members’ ownership,
motivated by the call of Almoneef and Samontaray (2019),             non-executive board members’ ownership, chairman
Habtoor (2020), Habtoor (2021), and Leung et al. (2014) for          ownership, CEO ownership, board and family board
further research on the potential role of different mechanisms       members’ ownership.
of corporate governance and ownership structure on
bank performance in Saudi Arabia and GCC countries.                  2.1. Independent and Non-executive Directors’
Second, accounting theories, including agency theory and                   Ownership and Firm Performance
entrenchment theory highlight the critical effect of board
members’ ownership as a double-edged sword in terms of                   Agency theory indicates that the main purpose of the
their influence on agency costs and firm performance. Third,         creation of the board of directors is to mitigate agency
Saudi firm ownership is highly concentrated (Habtoor, 2020;          conflicts between firm owners and managers. Therefore,
Habtoor et al., 2019b) with different types of inside and            monitoring and directing executive management behavior to
outside controlling shareholders who have potential mixed            act in line with shareholders’ interests is the key function
effects on agency costs and firm performance (Habtoor et al.,        of the independent and non-executive board members.
2019a). Fourth, ownership structure and board ownership, in          According to Jensen (1993), firm shares owned by
specific, and its impact on governance and performance is            independent and non-executive directors would align their
important in banking industry due to the unique role plied by        interests to other shareholders, which encourage them to
banks in the overall economy and in its credit provision and         monitor and supervise the firm’s activities to enhance firm
liquidity functions (Abraham, 2013).                                 value (Bhagat & Bolton, 2013; Farrer & Ramsay, 1998).
    The current study contributes to the literature on the               However, entrenchment theory suggests that when
impact of ownership structure, in general, and board                 independent and non-executive directors’ ownership exceeds
ownership, in particular, on firm performance and provides           a certain threshold, they may become more entrenched and
important practical implications as follows. First, this study       less fearful of disciplinary actions, and thus, they tend to serve
Omer Saeed HABTOOR / Journal of Asian Finance, Economics and Business Vol 8 No 3 (2021) 1101–1111             1103

their self-interests at the expense of minority shareholders          In contrast, Abor and Biekpe (2007) and Waheed and Malik
(Morck et al., 1988).                                                 (2019) document a positive impact of CEO duality on firm
    Empirical evidence on the impact of independent and               performance. However, Al-Matari et al. (2012), Arora and
non-executive directors’ ownership on firm performance is             Sharma (2016), and Merendino and Melville (2019) find
inconclusive and still rather controversial (e.g., Al Farooque        an insignificant relationship between CEO duality and firm
et al., 2020; Berke-Berga et al., 2017; Bhagat & Bolton,              performance.
2013; Krivogorsky, 2006; Shan, 2019; Tleubayev et al.,                    One possible reason of such inconclusive results is
2020). A possible reason of contradicting results is that most        the potential role of ownership held by firm leadership,
of previous studies use a single measurement of most types of         including the chairman ownership and CEO ownership,
ownership related to board members and executive managers             which may directly influence firm performance and/or
instead of using of an accurate measurement representing              indirectly through affecting the direction and significant of
each type of board members’ ownership. For instance,                  the relationship between leadership and firm performance.
Al Farooque et al. (2007), Berke-Berga et al. (2017), Bhagat          Prior research on the association between leadership and firm
and Bolton (2013), Amran et al. (2008), Krivogorsky (2006),           performance largely ignored the potential role of ownership
and Tleubayev et al. (2020) investigate the relationship              related to leadership on firm performance.
between firm performance and board ownership as measured                  From agency theory perspective, acquiring bank shares
by the percentage of shares owned by all board members                by the bank leaders (i.e., chairman and CEO) would align
(executive, independent, and non-executive directors).                their interests with other shareholders and enhance actions
Moreover, Al Farooque et al. (2020), Demsetz and Villalonga           and decisions that protect shareholders’ rights and maximize
(2001), Krivogorsky (2006), Morck et al. (1988), and Shan             bank value.
(2019) examine the impact of managerial ownership                         However, the entrenchment theory suggests that when
(measured by the percentage of shares owned by executives             the bank leaders (i.e., chairman and CEO) owns a significant
and CEO) on firm performance. The results are mixed where             portion of bank shares, they become more entrenched and
some studies reveal a positive impact on firm performance             less fearful of replacement and other disciplinary actions
while others report a negative influence or an insignificant          with greater power to act in their interests apart from the
effect on firm performance.                                           rights of shareholders, which in turn negatively affects
    In Saudi Arabia, A large portion of Saudi companies’              bank performance. It is worth noting that the inclusion of
shares are owned by a variety of groups of board members,             the ownership held by the CEO among board ownership
including independent and non-executive directors’ ownership,         categories is based on the results of descriptive statistics,
which are expected to have different and mixed effects                which reveal that more than one-half (57%) of the CEOs
on bank performance. Therefore, it can be hypothesized                in Saudi banks are board members. Accordingly, this study
(without specific direction) that.                                    proposes a significant effect (without specific direction)
                                                                      of bank leaders (i.e., chairman and CEO) on Saudi
   H1: There is a significant relationship between                    bank performance.
independent directors’ ownership and bank performance.
   H2: There is a significant relationship between non-                  H3: There is a significant relationship between the
executive directors’ ownership and bank performance.                  chairman ownership and bank performance.
                                                                         H4: There is a significant relationship between the CEO
2.2. Ownership of Leadership                                         ownership and bank performance.
      and Firm Performance
                                                                      2.3. Family Board Members
    Corporate governance literature indicates that firm’s                   and Firm Performance
leadership structure is critical in monitoring management
and enhancing firm performance and success. The separation                The hypothesis of the convergence of interest proposed
of the positions of the chairman of the board and CEO is              by agency theory suggests that ownership held by controlling
a good governance practice in many corporate governance               shareholders such as families’ members would alleviate
codes (Krivogorsky, 2006). On the other hand, Jensen and              agency conflicts between majority and minority ownership
Meckling (1976) and Mallette (1992) argue that CEO duality            as a result of the alignment of interest of family owners with
can challenge the board’s ability to monitor management.              other shareholders.
    Empirical evidence on the role of leadership on firm                  However, the entrenchment theory argues that higher
performance reveals mixed and inconclusive results. For               levels of family ownership could lead to entrenchment,
example, Al Farooque et al. (2020) and Kao et al. (2019)              which creates incentives for family controlling shareholders
find a negative impact of CEO duality on firm performance.            to expropriate wealth from other shareholders and extract
1104                   Omer Saeed HABTOOR / Journal of Asian Finance, Economics and Business Vol 8 No 3 (2021) 1101–1111

private benefits from the company at the cost of minority             dependent variables, independent variables, and control
shareholders (Morck et al., 1988; Shleifer & Vishny, 1997).           variables, with full definitions as reported in Table 1.
     The business environment and corporate governance is
strongly affected by the social and institutional environment
contexts within a country (Adams et al., 2010; Aguilera &             Table 1: Definition and Measurement of Variables
Jackson, 2010; Alamri, 2014; Wanyama et al., 2009). Saudi
society depends on a strong structure of tribal and family              Abbreviated                         Description /
                                                                                         Full Name
system which plays a significant role in Saudi business and             Name                                Measurement
governance.                                                             Dependent variable (firm performance)
     Most of previous studies aimed to investigate the
                                                                        ROA              Return on          Net income divided by
impact of family ownership on firm performance used the                                  assets             book value of total assets
percentage of shares held by families as a measurement
of family ownership (e.g., Al-saidi, 2013; Bennouri et al.,             ROE              Return on          Net income divided by
2018; Habbash & Bajaher, 2015; Kao et al., 2019; La Rosa                                 equity             book value of total equities
& Bernini, 2018) and ignored the potential role played by               Q                Tobin’s Q          Market value of total
family members sitting on the board on firm performance.                                                    shares plus book value
     In countries such as Saudi Arabia where families own                                                   of debt divided by book
substantial equities, little physical separation exists between                                             value of assets
those who own the firm and those who are delegated to run               Independent variables (board ownership)
it. Consequently, and regardless of the volume of firm shares           Ind_Own          Independent        Percentage of bank
they owned, Saudi family members sit on firms’ boards both                               board              shares owned directly
as executive and non-executive directors, and have strong                                members’           and / or indirectly by
voting power to nominate and elect board and management                                  ownership          independent board
members, and even the CEO or the chairman to serve their                                                    members
own interests at the expense of other shareholders (Alanezi &           Non_Exe_         Non-executive      Percentage of bank
Albuloushi, 2011). Therefore, it is worthwhile to investigate           Own              board              shares owned directly
the potential impact of family board members on the Saudi                                members’           and / or indirectly by
bank performance, and thus, a hypothesis cab be formulated                               ownership          non-executive board
as follows.                                                                                                 members
                                                                        Chairman_        Chairman           Percentage of bank shares
   H5: There is a significant relationship between family               Own              ownership          owned directly and / or
board members and bank performance.                                                                         indirectly by the chairman
                                                                        Ceo_Own          Chief              Percentage of bank
3. Research Methodology                                                                  executive          shares owned directly
                                                                                         officer’s          and / or indirectly by the
3.1. Sample Selection and Data Collection                                                ownership          chief executive officer
                                                                        Fam_Board_       Family board       Number of family
    To examine the influence of board ownership on bank
                                                                        Mem              members            members on the board
performance, this study examines a sample of 12 Saudi banks
listed in the Saudi Stock Exchange (Tadawul) over a period              Control variables (board, ownership, and firm
of eight years, from 2011 to 2018. The study excludes non-              characteristics)
financial and other financial firms from the sample as they             Board_Size       Board size         Total number of board
are less-regulated and the applied accounting standards differ                                              members
from those of banks. Moreover, eight bank-year observations             Non_Exe_         Non-executive      Percentage of non-
are also dropped from the sample due to missing data for                Mem              board              executive members on
some independent and control variables. Data on variables                                members            the board
included in the study is collected from the banks’ annual               Gov_Own          Government         Percentage of bank
reports downloaded from Tadawul and banks websites.                                      ownership          shares held by
                                                                                                            government agencies
3.2. Variables Definition and Model Specification                       Leverage         Leverage           Ratio of total debt to total
                                                                                                            assets
    To test hypotheses of the study, variables involved in
the regression analysis are classified into three categories:           Bank_Size        Bank size          Total bank employees
Omer Saeed HABTOOR / Journal of Asian Finance, Economics and Business Vol 8 No 3 (2021) 1101–1111                                                                                                                                                                                                                                     1105

     Firstly, the dependent variable is bank performance, which
is measured in three different ways. Return on Assets (ROA)

                                                                                                                                   (13)
as an operational performance measure, Return on Equity

                                                                                                                                                                                                                                                                                                                                     1
(ROE) as financial performance measure, and Tobin’s Q (Q)
as a market-based performance measure (refer Table 1).

                                                                                                                                                                                                                                                                                                                                     0.029
                                                                                                                                   (12)
     Secondly, to test the impact of main hypotheses (H1-

                                                                                                                                                                                                                                                                                                                     1
H5) related to board ownership on bank performance, the
independent variables are the independent board members’

                                                                                                                                                                                                                                                                                                                     –0.274**
                                                                                                                                                                                                                                                                                                                                     0.267*
                                                                                                                                   (11)
ownership, non-executive board members’ ownership,

                                                                                                                                                                                                                                                                                                      1
chairman ownership, CEO ownership, and family board
members (refer Table 1).

                                                                                                                                                                                                                                                                                                      0.007
                                                                                                                                                                                                                                                                                                                     0.141
                                                                                                                                                                                                                                                                                                                                     0.164
                                                                                                                                   (10)
     Finally, to control for potential omitted variable bias

                                                                                                                                                                                                                                                                                   1
(Gujarati, 2003; Wooldridge, 2010) and to rule out alternative
explanations for the mean results (Singh et al., 1986), this

                                                                                                                                                                                                                                                                                   0.323**
                                                                                                                                                                                                                                                                                                      –0.286**

                                                                                                                                                                                                                                                                                                                                     0.331**
                                                                                                                                                                                                                                                                                                                     0.143
study uses a number of control variables, including board

                                                                                                                                   (9)
characteristics (board size, non-executive board members),

                                                                                                                                                                                                                                                                  1
ownership structure (government ownership), and firm-

                                                                                                                                                                                                                                                                  0.557**
                                                                                                                                                                                                                                                                                    **

                                                                                                                                                                                                                                                                                                                                     0.599**
                                                                                                                                                                                                                                                                                   0.385
                                                                                                                                                                                                                                                                                                      –0.195
                                                                                                                                                                                                                                                                                                                     0.091
specific characteristics (leverage, bank size,) (refer Table 1).

                                                                                                                                   (8)
It is worth noting that there is an extensive body of research

                                                                                                                                                                                                                                              1
suggesting a significant effect of such variables on firm

                                                                                                                                                                                                                                                                                    *

                                                                                                                                                                                                                                                                                                      *

                                                                                                                                                                                                                                                                                                                                     0.484** –0.246*
performance (e.g., Al Farooque et al., 2020; Dang et al., 2020;

                                                                                                                                                                                                                                              –0.100

                                                                                                                                                                                                                                                                                   –0.302
                                                                                                                                                                                                                                                                                                      –0.405
                                                                                                                                                                                                                                                                                                                     0.199
                                                                                                                                                                                                                                                                  0.116
                                                                                                                                   (7)
Hamdan, 2018; Hardiyansah et al., 2021; Kao et al., 2019;

                                                                                                                                                                                                                                1
Majeed et al., 2020; Merendino & Melville, 2019; Nguyen,

                                                                                                                                                                                                                                0.295**
                                                                                                                                                                                                                                               **

                                                                                                                                                                                                                                                                  0.295**
2020; Nguyen & Nguyen, 2020; Omer et al., 2020; Rahman &

                                                                                                                                                                                                                                              0.495

                                                                                                                                                                                                                                                                                   0.156
                                                                                                                                                                                                                                                                                                      –0.152
                                                                                                                                                                                                                                                                                                                     0.071
                                                                                                                                   (6)

Saima, 2018; Shan, 2019; Waheed & Malik, 2019).

                                                                                                                                                                                                             1
3.3. Data Analysis

                                                                                                                                                                                                                                **

                                                                                                                                                                                                                                                                  0.252*

                                                                                                                                                                                                                                                                                                      *
                                                                                                                                                                                                             0.189
                                                                                                                                                                                                                                0.618
                                                                                                                                                                                                                                              –0.070

                                                                                                                                                                                                                                                                                                      0.216
                                                                                                                                                                                                                                                                                                                     0.147
                                                                                                                                                                                                                                                                                   –0.011

                                                                                                                                                                                                                                                                                                                                     –0.011
                                                                                                                                   (5)

                                                                                                                                                                                           1
    Due to the panel nature of the data, this study applies
panel data analysis using STATA statistical software to
                                                                                                                                                                                                             0.438**

                                                                                                                                                                                                                                               **
                                                                                                                                                                                           0.096

                                                                                                                                                                                                                                0.131
                                                                                                                                                                                                                                              0.378
                                                                                                                                                                                                                                                                  0.039
                                                                                                                                                                                                                                                                                   –0.026
                                                                                                                                                                                                                                                                                                      –0.023

                                                                                                                                                                                                                                                                                                                                     0.147
                                                                                                                                                                                                                                                                                                                     0.111
examine the impact of board ownership on bank performance.
                                                                                                                                   (4)

                                                                                                                                                                                                                                                                                                                                                                  Note: *, ** significant at the 0.05, and 0.01 levels (2−tailed) respectively.
Compared to cross-sectional or time-series techniques, panel
                                                                                                                                                                             1

data analysis controls for individual heterogeneity, mitigates
                                                                                                                                                                                                             0.391**

                                                                                                                                                                                                                                               **

                                                                                                                                                                                                                                                                  0.461**

                                                                                                                                                                                                                                                                                                                                     0.555**
                                                                                                                                                                             0.150
                                                                                                                                                                                           –0.038

                                                                                                                                                                                                                                –0.100
                                                                                                                                                                                                                                              0.562

                                                                                                                                                                                                                                                                                   0.174
                                                                                                                                                                                                                                                                                                      –0.149
                                                                                                                                                                                                                                                                                                                     0.187
multicollinearity problems, alleviate the undesirable effects
                                                                                                                                   (3)
                                                                        Table 2: Pearson Correlation Matrix and VIF of Variables

resulting from the use of a relatively small sample size, and
                                                                                                                                                                   1

provide more informative data (Baltagi, 2008; Hsiao, 2003).
                                                                                                                                                                   0.642**
                                                                                                                                                                             0.278**

                                                                                                                                                                                                             0.463**

                                                                                                                                                                                                                                               **

                                                                                                                                                                                                                                                                  0.458**

                                                                                                                                                                                                                                                                                                                     **

                                                                                                                                                                                                                                                                                                                                     0.562**
                                                                                                                                                                                           *

                                                                                                                                                                                                                                *
                                                                                                                                                                                           0.246

                                                                                                                                                                                                                                0.207
                                                                                                                                                                                                                                              0.459

                                                                                                                                                                                                                                                                                   0.075
                                                                                                                                                                                                                                                                                                      –0.082
                                                                                                                                                                                                                                                                                                                     0.501
    Prior to analysis, the main assumptions of multivariate
                                                                                                                                   (2)

analysis, such as outliers, normality, linearity, multicollinearity,
                                                                                                                                                         1

heteroskedasticity, in addition to endogeneity are checked,
                                                                                                                                                         0.807**
                                                                                                                                                                   **

                                                                                                                                                                             0.282**

                                                                                                                                                                                                             0.507**

                                                                                                                                                                                                                                               **

                                                                                                                                                                                                                                                                  0.457**

                                                                                                                                                                                                                                                                                                                                     0.542**
                                                                                                                                                                                           *

and then corrected or controlled. Skewness and kurtosis are
                                                                                                                                                                   0.591

                                                                                                                                                                                           0.214

                                                                                                                                                                                                                                0.082
                                                                                                                                                                                                                                              0.471

                                                                                                                                                                                                                                                                                   0.067
                                                                                                                                                                                                                                                                                                      0.156
                                                                                                                                                                                                                                                                                                                     0.013
                                                                                                                                   (1)

among the common statistical tests for normality. One of the
                                                                                                                                               1

criteria for using skewness and kurtosis as a measurement of
normality is based on the values of skewness and kurtosis.
                                                                                                                                   VIF

                                                                                                                                                                             1.61
                                                                                                                                                                                           4.84
                                                                                                                                                                                                             2.45
                                                                                                                                                                                                                                5.69
                                                                                                                                                                                                                                              3.31
                                                                                                                                                                                                                                                                  2.51
                                                                                                                                                                                                                                                                                   1.71
                                                                                                                                                                                                                                                                                                      5.42
                                                                                                                                                                                                                                                                                                                     1.64
                                                                                                                                                                                                                                                                                                                                     3.48
                                                                                                                                                                                                                                                                                                                                                       3.26

Thus, a data-set with values that fall within the threshold of
+/– 3 for skewness (Kline, 2011) and within the threshold
of +/– 10 for kurtosis (Hoyle, 1995; Kline, 2011) represents
                                                                                                                                                                                                                                              (8) Fam_Board_Mem

                                                                                                                                                                                                                                                                                   (10) Non_Exe_Mem
                                                                                                                                                                                                             (6) Chairman_Own
                                                                                                                                                                                           (5) Non_Exe_Own

an acceptable level of normality. The results show that the
skewness and kurtosis values for variables fall within the
                                                                                                                                                                                                                                                                  (9) Board_Size

                                                                                                                                                                                                                                                                                                                                     (13) Bank_Size
                                                                                                                                                                                                                                                                                                      (11) Gov_Own
                                                                                                                                                                                                                                (7) Ceo_Own

                                                                                                                                                                                                                                                                                                                     (12) Leverage
                                                                                                                                                                             (4) Ind_Own

thresholds of the acceptable level of normality, which means
that the data is normally distributed (refer Table 3).
                                                                                                                                   Variables

                                                                                                                                                                                                                                                                                                                                                       Mean VIF
                                                                                                                                               (1) ROA
                                                                                                                                                         (2) ROE

    Linearity is tested using the scatter plots, which show
                                                                                                                                                                   (3) Q

no clear departure from linearity. In addition, the results of
Ramsey test indicate an appropriate linear specification of the
1106                   Omer Saeed HABTOOR / Journal of Asian Finance, Economics and Business Vol 8 No 3 (2021) 1101–1111

regression models of the study. Concerning multicollinearity,            Where, ROA is return on assets; ROE is return on equity;
the results of Pearson correlation matrix and variance inflation      Q is Tobin’s Q; Ind_Own is independent board members’
factor (VIF) tests indicate no severe multicollinearity problem       ownership; Non_Exe_Own is non-executive board members’
since the maximum values do not exceed the threshold value            ownership; Chairman_Own is chairman ownership; Ceo_
(0.80) of correlation and (10) of the VIF (Gujarati, 2003; Hair       Own is chief executive officer’s ownership; Fam_Board_
et al, 2010) as reported in Table 2.                                  Mem is family board members; Board_Size is board size;
    To determine whether the ordinary least squares (OLS)             Non_Exe_Mem is non-executive board members; Gov_
or panel data (fixed or random effects) technique is more             Own is government ownership; Leverage is the leverage;
appropriate to analyze the data, the Lagrange Multiplier (LM)         Bank_Size is bank size; ε is error term.
test (Breusch & Pagan, 1980), the F-test, and the Hausman
test (Hausman 1978) are performed, and the results (for               4. Empirical Results and Discussion
brevity not reported here, but available on request) indicate
that the panel data analysis using fixed effects model is an          4.1. Descriptive Statistics
appropriate technique of analysis.
    Regarding heteroscedasticity and autocorrelation in fixed             The descriptive statistics of variables included in the study
effects models, the Modified Wald statistic test for groupwise        are reported in Table 3. The main finding is that ownership
heteroscedasticity in fixed effects regression models                 structure of Saudi banks is concentrated and controlled by
(Greene 2003), and Wooldridge test for autocorrelation                board members as the mean of bank shares held by independent
(Wooldridge 2002) are run, respectively. The results (for             directors (0.086), non-executive directors (0.516), the chairman
brevity not reported here, but available on request) confirm          (0.06), and the CEO (0.136) are significant. Moreover, the
the presence of both heteroscedasticity and autocorrelation           descriptive statistics indicate a weak representation of family
problems, which need to be solved or controlled. Therefore,           members on the board of directors with a mean of less than one
a fixed effects regression model clustered at the bank level          board member (0.795). Overall, the variations among variables
is developed and employed by this study as it controls                measurements are almost consistent with previous evidence.
for endogeneity and produces a robust estimator to cross-
                                                                      4.2. Univariate Analysis
sectional heteroscedasticity and within-panel correlation
(Li, 2016; Rogers, 1993). Accordingly, the following fixed                Table 2 shows the results of correlation among variables,
effects regression models are performed to examine the                which can be used as a mean to check for multicollinearity and
impact of board ownership on bank performance.                        to enhance the results of multivariate analysis (Field, 2013).
Model 1:                                                              4.3. Multivariate Analysis
       ROAit = β 0 + β1Ind_Ownit + β2Non_Exe_Ownit                       Table 4 presents the fixed effects regression results of
               + β3Chairman_Ownit + β4Ceo_Ownit                       the influence of board ownership on bank performance. The
               + β5Fam_Board_Memit + β6Board_Sizeit                   results show a significant negative impact of independent
               + β7Non_Exe_Memit + β8Gov_Ownit                        board members’ ownership on bank performance measured by
               + β9Leverageit +β10Bank_Sizeit + εit                   ROA and ROE. However, no evidence is found on the role of
                                                                      independent directors’ ownership on Tobin’s Q. These results
Model 2:                                                              indicate that bank shares held by independent board members
       ROEit = β 0 + β1Ind_Ownit + β2Non_Exe_Ownit                   are related to lower operational (ROA) and financial (ROE)
                                                                      bank performance, which is consistent with the theoretical
               + β3Chairman_Ownit + β4Ceo_Ownit                       perspective of the entrenchment theory and hypothesis
               + β5Fam_Board_Memit + β6Board_Sizeit +                 development. Accordingly, H1 is partly accepted. The
               β7Non_Exe_Memit + β8Gov_Ownit                          significant negative impact of independent board members’
               + β9Leverageit + β10Bank_Sizeit + εit                  ownership can be justified and confirmed by the results from
                                                                      the descriptive statistics that indicate that independent board
Model 3:                                                              members hold around (9%) of bank shares. Morck et al.
         Qit = β 0 + β1Ind_Ownit + β2Non_Exe_Ownit                   (1988) suggest that the convergence-of-interest effects tend to
                                                                      dominate over the low ownership range (e.g., less than 5%),
               + β3Chairman_Ownit + β4Ceo_Ownit
                                                                      while entrenchment effects begin to appear beyond this level.
               + β5Fam_Board_Memit + β6Board_Sizeit                       Moreover, the results reveal an insignificant relationship
               + β7Non_Exe_Memit + β8Gov_Ownit                        between non-executive board members’ ownership and bank
               + β9Leverageit +β10Bank_Sizeit + εit                   performance, which reject H2. This result contradicts the
Omer Saeed HABTOOR / Journal of Asian Finance, Economics and Business Vol 8 No 3 (2021) 1101–1111                        1107

Table 3: Descriptive Statistics of Variables

 Variables                      Obs              Mean            Std. Dev.       Min               Max           Skew.               Kurt.
 ROA                             88               0.019             0.005        0.008            0.033          0.348               3.663
 ROE                             88               0.132             0.033        0.061            0.225          0.621               3.355
 Q                               88               1.067             0.072        0.963            1.323          1.318               4.849
 Ind_Own                         88               0.086             0.114          0              0.494          1.672               5.7
 Non_Exe_Own                     88               0.516             0.202        0.005            0.804         –0.623               2.483
 Chairman_Own                    88               0.06              0.091          0              0.443          1.689               5.926
 Ceo_Own                         88               0.136             0.184          0              0.442          0.651               1.491
 Fam_Board_Mem                   88               0.795             1.532          0                6            2.12                6.983
 Board_Size                      88               9.807             0.814          7                11          –0.533               3.611
 Non_Exe_Mem                     88               0.935             0.059        0.8                1           –0.171               2.047
 Gov_Own                         88               0.216             0.2            0              0.644          0.807               2.206
 Leverage                        88               0.856             0.023         .804            0.908         –0.118               2.486
 Bank_Size                       88            4721.989          3511.573        1071             13684          1.602               4.231

Table 4: Firm Fixed Effects Regression Results of the Impact of Board Ownership on Bank Performance

 Variables                                     Model 1 (ROA)                     Model 2 (ROE)                          Model 3 (Q)
 Independent Variables
 Ind_Own                                       –0.007** (0.003)                 –0.054** (0.019)                    –0.062 (0.036)
 Non_Exe_Own                                    –0.005 (0.005)                   –0.039 (0.039)                     –0.018 (0.15)
 Chairman_Own                                  0.010*** (0.003)                 0.074*** (0.018)                    0.139* (0.066)
 Ceo_Own                                        0.010** (0.004)                  0.054** (0.020)                    0.100 (0.172)
 Fam_Board_Mem                                   0.000 (0.000)                   0.0025 (0.002)                     0.006 (0.007)
 Control Variables
 Board_Size                                    –0.001** (0.001)                 –0.0100** (0.004)                 –0.032*** (0.006)
 Non_Exe_Mem                                  –0.0012*** (0.000)                –0.013*** (0.004)                   –0.002 (0.006)
 Gov_Own                                      0.0184*** (0.004)                 0.121*** (0.031)                    0.032 (0.156)
 Leverage                                       –0.043 (0.031)                   0.615** (0.234)                   1.057** (0.384)
 Bank_Size                                     –0.001* (0.000)                  –0.001** (0.000)                   –0.001* (0.000)
 Constant                                       0.072** (0.023)                  –0.265 (0.160)                     0.554 (0.266)
 N                                                       88                              88                                 88
 F-value                                           706.32***                           87.94***                          496.61***
 R2 within                                           0.239                              0.308                             0.251
Note: *, **, *** significant at the 0.10, 0.05, and 0.01 levels respectively.
1108                   Omer Saeed HABTOOR / Journal of Asian Finance, Economics and Business Vol 8 No 3 (2021) 1101–1111

theoretical perspectives of agency and entrenchment theories              For family board members, the results reveal an
that propose a significant influence of bank shares owned             insignificant impact of family board members on bank
by non-executive board members on bank performance.                   performance. This means that family members setting on the
However, this result is consistent with Habtoor et al. (2019a)        board have no influence on bank performance, and thus, H5
who finds an insignificant impact of non-executive board              is rejected. The poor role of family board members could
members’ ownership on cooperate risk disclosure in Saudi              be attributed to the weak or marginal representation of
non-financial firms. This finding is explainable by the results       families on the board of directors, which is about less than
from the descriptive statistics, which indicate that the mean of      one board member (0.795) according to the results from the
non-executive board members’ ownership is about (52%) of              descriptive statistics.
bank shares. This ratio may have insignificant effect because             With respect to control variables, the results indicate
it almost falls on the edge between two levels of ownership           that board size, non-executive board members, and bank
that have an opposite effect on bank performance. In this             size are significantly and negatively associated with bank
regard, Stulz (1988) finds that company value increases               performance. However, government ownership and leverage
when the management control of voting rights is less than             are positively related to bank performance. These results are
50%, whereas company value decreases as management                    in line with theoretical perspectives and previous empirical
control reaches or exceeds 50%.                                       evidence.
     Regarding firm leadership, the results demonstrate a
positive and significant effect of the chairman ownership             5. Conclusion
on bank performance. This result is consistent with the
argument of agency theory that bank shares holding by                     This main purpose of this study is to investigate the impact
the chairman would align his interests with those of other            of different categories of board ownership on performance
shareholders which can be reflected in higher monitoring role         of a sample of Saudi listed banks over a period of eight years
and an improvement in bank performance. Therefore, H3 is              from 2011 to 2018. Unbalance panel data analysis is applied
supported. Moreover, the results of the descriptive statistics        using firm fixed effects regression models to test the main
support this finding as the mean of the chairman ownership            hypotheses and control for endogeneity issues and produces
is about (6%), which justifies the significant positive such          a robust estimator to cross-sectional heteroscedasticity
level of ownership on firm performance (Morck et al., 1988).          and within-panel correlation. The results of multivariate
     Moreover, the CEO ownership has a positive and                   analysis reveal a significant positive impact of the chairman
significant relationship with bank performance measured               ownership, CEO ownership, government ownership, and
by ROA and ROE, which indicates that the operational and              leverage on bank performance. However, independent
financial bank performance improve when the CEO hold                  board members’ ownership, board size, non-executive board
higher portion of bank stocks. This result partly supports            members, and bank size have a significant negative influence
H4, and may confirm the dominance of the convergence                  on bank performance. While non-executive board members’
of interests proposed by agency theory on the association             ownership and family board members have an insignificant
between the CEO ownership and bank performance. In this               effect on bank performance. These results indicate that Saudi
regard, it worth noted that the descriptive statistics reveal         bank performance is higher in smaller banks that have smaller
that the mean of the CEO ownership is 13.6% which may                 boards with lower non-executive members, lower portion of
encourage the CEO to act opportunistically towards other              shares held by independent board members, higher portion
shareholders (Morck et al., 1988). However, Chau and                  of shares held by the chairman, CEO, and government, and
Leung (2006) find that at a medium level of ownership                 higher leverage.
(between 5% and 25%), the convergence-of-interest effect                  The current study contributes to the literature as
is dominant. Furthermore, the positive impact of the CEO              follows. First, this study aims to fill the gap in the literature
ownership on Saudi bank performance can be supported                  on the association between board ownership and firm
and justified by the results of the study of Habtoor (2021)           performance by investigating the potential role of different
who finds that about one-half (46%) of the CEOs of Saudi              types of ownership held by board members on Saudi bank
listed banks are foreigners and they almost represent the             performance. Second, this study analyzes the relationship
foreign ownership in Saudi banking industry, which evident            between board ownership and bank performance using
its positive role on firm performance. Empirically, Habtoor           multiple theoretical perspectives, which is essential to deeper
(2021) finds a positive impact of foreign CEO on Saudi bank           understand how and which types of board ownership could
performance. This indicates that the CEO ownership may                affect bank performance. Third, the results of this study
also reflect the positive role of foreign ownership on bank           provide important implications for policy makers, regulatory
performance evident by previous studies.                              bodies, and market participants in Saudi Arabia and countries
Omer Saeed HABTOOR / Journal of Asian Finance, Economics and Business Vol 8 No 3 (2021) 1101–1111                     1109

with ownership concentration to understand the role of                 Al-Matari, Y. A., Al-Swidi, A. K., Fadzil, F. H. B., & Al-Matari, E. M.
different types of board ownership on firm performance, and               (2012). Board of directors, audit committee characteristics and
to optimize board ownership and improve firm performance.                 performance of Saudi Arabia listed companies. International
    Despite the robustness of the empirical results, they are             Review of Management and Marketing, 2(4), 241–251.
subjected to some limitations that evident in prior empirical          Almoneef, A., & Samontaray, D. P. (2019). Corporate governance
studies. For example, the relatively small sample size used               and firm performance in the Saudi banking industry. Banks
by this study may be considered a major limitation, despite               and Bank Systems, 14(1), 147–158. https://doi.org/10.21511/
applying panel data analysis. Therefore, future research may              bbs.14(1).2019.13
expand the sample size by adding non-listed banks or using             Al-saidi, M. (2013). Ownership concentration and firm
listed banks in GCC countries as they have similar ownership               performance: The case of Kuwait. Jordan Journal of Business
structure and institutional settings. Moreover, while this                 Administration, 9(4), 803–821.
study focuses on board ownership, including the chairman               Amran, A., Che Haat, M. H., & Abdul Manaf, R. (2008). Ownership
and the CEO, further research may address the potential role             structure and risk disclosure: A study of Malaysian listed
of different characteristics of the chairman and the CEO and             companies. Corporate Ownership & Control, 5(4), 451–460.
board committees’ characteristics on bank performance.                 Arora, A. & Sharma, C. (2016). Corporate governance and firm
                                                                          performance in developing countries: Evidence from India.
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