Abstract:
Corporate governance is a crucial issue in achieving the corporate wealth maximization
objective of the corporation. With the changes in the business environment through
globalization, stakeholders are more concerned and demanding more clearly and reliably
accounts, neutral behaviors, safeguards, and a clear view of the company’s progress. It is
observed that as long as wealth maximization responsibilities are assigned mainly to
investors holding stock companies, every country faces the challenge of how to minimize
the cost of equity to a reasonable level. Besides, the ownership structures around the world
reflect differences in several countries based on the theoretical development and financial
environments.
Available literature suggests that the ownership control mechanism is one of the most
debated issues in corporate governance activities. However, different procedures have
been used to categorize firms by control type. Furthermore, as the stock possession has
become more delicate over time and with the size of the company, the amount of stock
required for active control may decrease. The available literature documented that the
extent to which family members continue to exercise control in the boardroom varies
widely as their ownership of the firm decreases (Mace, 1971). However, there is an overall
consensus that the concept of control envisions the ability to choose the board of directors
for the corporations, either by voting power inherent in stock ownership or by position
control attained by the organization when there is extensive diffusion of stock ownership.
Different decision criteria for categorizing firms have resulted from changes in the amount
of ownership required for control, shifts in ownership structures and board configurations
among firms, and changes in the perceived control advantage over time. The fractions of
the board of directors who perform and the extent to which ownerships are dispersed to
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different clusters have also been examined as elements of corporate control and
governance devices.
With the above background in mind, this thesis examines the relationship among family
ownership, corporate governance practices, and firm performance within publicly listed
companies in Bangladesh from 2015 to 2024. With structural changes in guidelines and
principles in both domestic and international arenas, there have been numerous aspects to
be addressed for CG practices and firm performance. This study, entrenched in CG
theories such as agency theory, stewardship theory, stakeholder theory, institutional
theory, and resource dependency theory, investigates the impact of family business
characteristics and governance mechanisms on financial performance, assessed through
return on assets (ROA), return on equity (ROE), and net worth (NW).
Chapter two of this thesis provides an extensive literature review on family ownership,
corporate governance practices, and firm performance across various international and
domestic contexts, illustrating the diversity of methodologies and findings. Existing
literature suggests that an in-depth examination of both earlier and recent studies focusing
on the concentration of family ownership, the role of corporate governance, and how these
factors are linked to a firm's financial performance is needed. Family-owned businesses
make-up a significant portion of the global economy, as revealed in different studies and
research. For example, Anderson and Reeb (2003) noted that over one-third of S&P 500
firms are family-owned. In 2018, a Global survey on Family Business by PwC (Price
Waterhouse Coopers), London, UK, highlighted that the concentration of family
ownership has a strong presence, with 64% of Indonesian businesses falling into this
category. The way family firms are governed plays a crucial role in their success, often
differing considerably from non-family enterprises. Globally, over two-thirds of
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businesses are family-owned, and their importance is increasingly acknowledged (London
Economics, 2002).
Jensen and Meckling’s (1976) ownership structure theory suggests that there is a positive
association between managerial rights and firm worth. Supporting this view, studies by
McConaughey et al. (1998) and Barontini and Caprio (2004) also find that control of the
family firm is positively associated with firm efficiency, suggesting that higher levels of
family ownership can enhance business outcomes. Anderson and Reeb (2003) and Miller
et al. (2007) showed that family ownership may have a significant effect on business
success. McConaughey et al. (1998) and Barontini and Caprio (2004) also find that control
of the family firm is positively associated with firm efficiency, suggesting that higher
levels of family ownership can enhance business outcomes. The earlier studies on
Japanese family businesses (Yoshikawa, T. et al., 2010; Morikawa, M., 2013; Arikawa et
al., 2019; Koji et al., 2020) have found consistent results with the parameters indicated
above. The literature presents mixed findings: Pindado and Requejo (2015) identify a
positive link, other studies—such as those by Fauzi and Locke (2012) and Wang and
Shailer (2015)—report adverse outcomes in developing countries. Similarly, some
scholars (Young et al., 2008; Miah, M.S., et al., 2023) argue that listed family firms do not
outperform non-family counterparts, while others (Chahal & Sharma, 2020; Koji, K. et al.,
2020) suggest that family involvement enhances firm value. Alves and Gama (2020)
further contend that family influence on firm success is complex and cannot be labeled as
positive or negative.
Chapter Three of this thesis provides the concept regarding the institutional environment
of corporate governance with its systems and practices, nature and style of the family firm
that exists around the world and in Bangladesh. It also provides a detailed sketch of the
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financial ecosystem and the pattern of market governance, along with its performance in
Bangladesh. Financial market structure includes the formal, informal, and semi-informal
financial sectors of Bangladesh. It also encompasses the money market, capital market,
forex market, and the regulators-Bangladesh Bank (BB), Bangladesh Securities and
Exchange Commission (BSEC), Micro-Credit Regulatory Authority (MRA), and
Insurance Development Regulatory Authority (IDRA) of the financial market of
Bangladesh. Under the money market infrastructure, bank- like- State-owned Commercial
Banks (SCBs), Private Commercial Banks (PCBs), Specialized Banks (SBs), Foreign
Commercial Banks (FCBs), etc., non-bank financial institutions (NBFIs)-like- House
Building Finance Corporation (HBFC), Bangladesh Development Bank Limited (BDBL),
Palli Karma-Sahayak Foundation (PKSF), Grameen Bank (GB), etc., micro-financial
institutions (MFIs), and leasing companies are noted. Similarly, under the capital market,
stock exchanges – like; Dhaka Stock Exchange PLC (DSE) and Chittagong Stock
Exchange PLC (CSE), the depository- Central Depository Bangladesh Limited (CDBL),
merchant banks (MBs), asset management companies (AMCs), stock- brokers, stockdealers,
venture capital, etc., are also discussed broadly.
It is observed that as of fiscal year 2024, 61 scheduled banks and 5 non-scheduled banks
were operating in the country. The aggregate ROA & ROE showed significant variability
over the years, with ROA remaining slightly above 0%. Generally, below 1% in most years
from 2012 to 2024, and the aggregate ROE rate began at approximately 8% in 2012,
reached a peak of about 11–12% 2013, 2015, and 2017. The Amount of Non-performing
Loans (NPLs) by major types of banks rose from 501.6 billion to 2113.91 billion from
2014 to the end of June 2024. The highest DSE index was 7329.00 in 2021, and the lowest
was 4898.52in 2024. The highest-ranking aggregate market cap of DSE was 45.20 billion
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in 2023, and the lowest was 2.54 billion in 2008. The market capitalization (Market cap)-
to-Gross Domestic Product (GDP) ratio peaked at 50% in 2010, before the crash, and
dropped to its lowest point at 4.2% in June 2006.
Chapter four of the thesis has focused on the adopted research methods for this study and
the reasons behind such selection. This chapter has also shed light on the conceptual
framework employed to understand the relationship between family ownership and firmlevel
profitability.
Positivism was the guiding philosophy of the study. Secondary data collected from the
books of account and the equity market could be taken at face value, and the insights
stemming from these data points can perfectly represent the research area of interest.
Choosing 'positivism' as the guiding philosophy is considered a mainstream paradigm in
corporate finance research. While conducting the research, a deductive research approach
was followed, whereby null hypotheses were constructed and tested. Determinants of firmlevel
performance have already been well-identified in the empirical papers. So, as per the
established literature, this research phenomenon is well-documented. It was empirical
research; the established theory was tested in the context of Bangladesh. This study
employed a gamut of quantitative research tools, which is consistent with the positivist
philosophy. It is a multi-method quantitative study that encompassed correlation analysis,
regression analysis, and other statistical methods.
This research is based on archival research. The data collection is based on an in-house
constructed Excel template. Secondary data was used for this research. The data was
collected from annual reports of the listed firms of the Dhaka Stock Exchange PLC. As
per the current regulations, annual reports are available in the public domain; there is no
need to seek prior permission. Likewise, macroeconomic data were downloaded from the
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Bangladesh Bank and the Bangladesh Statistical Bureau websites. Again, this information
is also available in the public domain and freely downloadable. One hundred four (104)
firms representing both the financial and manufacturing sectors were included in the final
sample. These firms were chosen based on convenience sampling. In order to manage
'survivorship bias’, newly listed and relatively young enterprises were eliminated from the
sample. Companies that had been listed before 2015 and had been in continuous operation
during the whole research period were taken into account.
‘Financial performance’, ‘Family ownership’ and ‘Corporate governance' were used as
dependent variables, key independent variables and key moderating variables,
respectively. Firms were classified as family businesses if the founder is in charge, or if
family members hold important executive positions, or if family members are among the
top ten shareholders, or if at least 50% of the board is made up of family members, or if a
privately held family business retains ownership. The dependent variable - financial
performance was measured using three primary metrics: net worth (NW), return on equity
(ROE), and return on assets (ROA). The level of 'corporate governance' was measured
through standard parameters such as board size, board independence, and board
committees.
The study has employed a multiple linear regression model in order to understand the
relationship between family ownership and financial performance. Regression parameters
can be estimated using different frameworks – the OLS (Ordinary Least Squares)
framework, the MLE (Maximum Likelihood Estimation) framework, and the GMM
(Generalized Method of Moments) framework. In this study, the researcher used the
ordinary least squares technique to estimate the regression parameters. Since the research
time frame covered a period of 10 years [2015-2024], in order to understand the nature of
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causality, panel regression was used. The baseline model was a fixed effects one, as
suggested by the Hausman test. The researcher has reported the pooled OLS, Randomeffects,
and panel corrected standard error model results, as well as the baseline research.
Endogeneity concerns in the estimated effects were mitigated through the omitted variable
channel. A gamut of tests for robustness was also run to assess the validity of the estimated
effects in different contexts.
Chapter -5 deals with the empirical analysis of the dissertation. It at first presented the
descriptive statistics of the research variables, followed by a correlation matrix. For most
of the research variables, the range is substantial, indicating a wide cross-sectional
variation. The correlation between ‘Ownership Concentration’ and ‘ROA’ is weakly
positive; on a similar line, the correlation between ‘Ownership Concentration’ and ‘ROE’
is also positive.
By employing statistical tools like the Condition index and VIF, probable multicollinearity
concerns were identified. It was revealed through these tests that multicollinearity did not
pose any significant concern in this database. Likewise, probable outlier concerns were
identified through standard tests like Cook's distance, COV ratio, and hat matrix. It was
found that the outlier did not pose any significant concern in this database. By employing
statistical tools like the White test, B-P test, and graphical technique, probable
heterogeneity concerns were identified. It was revealed through these tests that the error
variance is not constant. This problem was later mitigated by using robust standard errors
while estimating coefficients. By summarizing the key conclusions of the A-D test and JB
tests, and by graphically plotting the errors, it was concluded that the errors are not
normally distributed. So, the researcher tried to estimate consistently by using a bigger
sample size. Pesaran CD test indicated that there exists significant cross-sectional
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dependence in the data. Likewise, it was evident from the Lagrange multiplier test that
there is statistically significant heteroskedasticity in the panel data model.
There was robust statistical evidence to suggest that the random effects model is
inconsistent. Therefore, the fixed effects model was the preferred specification for the
panel regression model. The positive coefficient suggests that family firms tend to have
superior performance compared to non-family firms. However, the effect is not
statistically different from zero. As per the panel corrected standard error model, the beta
coefficient concerning family ownership is positive and statistically significant. This
suggests that family firms tend to have higher return on assets compared to non-family
firms, holding other variables constant. The coefficients for Ownership Concentration,
Age, Total Assets, and Board Committee are statistically significant. On a similar note,
the beta coefficient concerning family ownership is positive and statistically significant as
per the pooled OLS model. Before running the regression models, the preconditions were
met. Moreover, the pre-conditions were as follows: the anticipated association between
the factor and the independent variable was linear; data were gathered by random
sampling; covariance between independent variables and the error term was zero; and there
was no perfect multicollinearity among the pairs of independent variables.
Endogeneity is a key statistical concern in regression analysis, which can lead to biased
and inconsistent estimates. Three models were run to check whether the inclusion of
initially omitted variables in the regression changed the results. In the 1st model, the GDP
growth rate variable was added with the pre-specified set of control variables. Model 2
included all the standard firm-level controls along with the inflation variable. The baseline
effects remained unperturbed when omitted variables were introduced in the model.
Robustness of the model was evaluated by using winsorized data and alternative
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definitions of the dependent variable. The baseline effects remained unperturbed in these
tests of robustness.
Finally, the existence of cross-sectional heterogeneity was checked out. The hypothesized
positive relationship between firm performance and family ownership concentration is
supported in the cross-sectional regression, but the magnitude of the regression coefficient
changes in the small-in-large firm case and the mature-in-young firm case. In a nutshell,
the estimated effects demonstrated cross-sectional heterogeneity.
In conclusion, this thesis documents the understanding of how family ownership, agency
conflicts, and corporate governance interact to influence firm performance in Bangladeshi
firms, using the model employed in the study. Moreover, the findings of the study indicate
diverse results for family business ownership and corporate governance issues. It is argued
that greater board independence, better regulatory execution, and increased transparency
are critical for addressing agency problems and enhancing corporate performance.