The Effect of Audit Firm Size on Earnings Management: Using the
CEO Compensation as Moderator
HAMZEH FATHI ALSHARE1, MOHD RIZUAN BIN ABDUL KADIR2,
KHAIRUL ANUAR KAMARUDIN3, HASMAIZAN BINTI HASSAN4
1College of Management, Universiti Tenaga Nasional (UNITEN), MALAYSIA
2College of Graduate Studies, Universiti Tenaga Nasional (UNITEN), MALAYSIA
3Faculty of Business, University of Wollongong, Dubai, UNITED ARAB EMIRATES
4College of Energy Economics and Social Science, Universiti Tenaga Nasional (UNITEN),
MALAYSIA
Abstract: - This study investigates the impact of the audit firm size on earnings management by using the CEO
compensation as a moderating variable. This study was conducted in service and industrial firms listed on the
Amman Stock Exchange from 2015 to 2019. The results of this research were examined using a fixed-effect
model, and many robustness tests were used to show that the conclusions are reliable when using different
measures. The size of the audit company and the management of earnings were shown to be significantly
correlated in the research. However, show how the combined effects of CEO remuneration and audit firm size
have a considerably detrimental impact on the management of profitability. When making decisions on external
audits and earnings management, the government, investors, and shareholders would benefit from this study. It
highlights several strengths and flaws in the audit firm size and CEO compensation that aid in restricting
earnings management.
Key-Words: - Audit firm size, CEO compensation, Earnings management.
Received: June 16, 2022. Revised: December 26, 2022. Accepted: January 27, 2023. Published: February 28, 2023.
1 Introduction
The most important official reports of economic
activity are financial statements, which tell
stakeholders about the financial health of the firm.
It seeks to deliver accurate and trustworthy
information so that users may decide without
consulting the earnings management (EM), [1]. The
International Financial Reporting Standards
(IFRS), which provide the preparers with a variety
of accounting methodologies while being impartial,
serve as a guide for the creation of financial
reports.
The management seeks to select the most
promising accounting methods that will be
advantageous to them while compiling financial
statements. They will thus use EM to demonstrate
the successful outcome of their financial conditions
and company activities, [2]. By manipulating
numerous strategies, which are permitted when
generating financial statements to accomplish the
pre-set aims, and either raising or lowering
earnings that are shadowing the management, EM
activity may be either legal or unlawful, [3].
Kitiwong, [4], believed that EM is essential for
the company to have a say in their financial
situation and create the greatest financial reports
for the public. In order to satisfy analyst
expectations, attract investors, and boost incentives
based on performance, businesses may have little
choice but to adopt EM. Thus, they represent the
intended outcomes using all accessible accounting
approaches, such as increasing corporate gearing,
[5].
The success of the firm is misrepresented by
the excessive use of EM. It diminishes the value of
financial information by giving stakeholders a
misleading impression of the company's true
performance. It, therefore, undermines shareholder
trust in financial reporting, which lowers the firm's
performance and value, [6].
Previously, academics have discovered a wide
range of factors that drive business EM. For
instance, managers may exaggerate results to drive
up stock prices during initial public offerings [7],
justice offerings [8], [9], to avert disclose
misplacements [10], [11], to prevent violations of
the law governing debt contracts, creative profit
offense, and personal gain and compensation, [12].
As many businesses have experienced
bankruptcy and accounting scandals, the overuse of
EM practices has led to several concerns and
problems. Penn West Exploration (2012 to 2014),
Tesco (2014), Toshiba (2015), Patisserie Valerie
(2018), and General Electric (2018) are among the
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Hamzeh Fathi Alshare, Mohd Rizuan Bin Abdul Kadir,
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large corporations that suffered as a result of
excessive usage of EM, [13]. Due to incorrect
judgments made as a consequence of inflated
information disclosed in the business financial
statements that are vulnerable to EM practices,
many investors have lost their assets. As a result,
this behavior hinders the movement of capital,
which has an impact on the financial market, [13].
As a result, guarantees are required to
safeguard stakeholder investments, implement
optimal resource utilization, cut down on
accounting mistakes, and influence revenues. The
external audit firm's assurance services are meant
to improve the financial data's integrity and
guarantee that it is free of fraud and mistakes. In
addition, it's to rebuild users' faith in the sharing of
financial information, [14].
In order to practice their profession, external
audits must be impartial and pertinent. The Big
Four accounting companies have distinguished
themselves as a leader in the sector that offers
substantial auditing services across the services
provided by numerous audit firms, [15]. Market
confidence in The Big Four's capacity to provide
qualified employees in a wide range of professional
services to their client has grown. They have a lot
going for them that makes major organizations
want to employ their services. As a result, when
evaluating the effect of audit services, the big four
are frequently separated from the non-big four in
accounting and auditing studies, [16].
Previous studies have frequently looked at
what motivates CEOs to disclose their achievement
through financial reporting, including how much
they are paid and given incentives, [17], [18], [19].
There are agreed-upon compensations to be
provided when they attain the specified targets that
are set for them to achieve. Therefore, anytime
remuneration levels are high, there is a greater
propensity for EM practices, and good assurance
services are required to adhere to financial
statement transparency, [20].
This study looks at how AFS affects EM
practices at the Amman Stock Exchange (ASE) and
if CEO remuneration influences this connection in a
positive or negative way. Jordan is a developing
nation, therefore it seems sensible that Jordanian
businesses use EM extensively, [21], [22]. For
Jordanian investors, foreign investors, society, and
the economy, this study is important.
2 Literature Review and Proposed
Hypothesis
The vast majority of the study on this topic has
been agency theory-based, and it has examined
audit firm size as a suitable method for resolving
agency issues between directors and shareholders
as well as for aligning management and investor
interests, [23]. It is doubtful that the size of the
audit firm will restrict the EM in the Jordanian
environment, which is distinguished by limited
investor protection, significant company ownership
concentration, and minimal corporate controller
influence, [24].
It is doubtful that the size of the audit firm will
restrict the EM in the Jordanian environment,
which is distinguished by limited investor
protection, significant company ownership
concentration, and minimal corporate controller
influence, [25]. Therefore, by reducing agency
issues, the quality of financial reports can be
assured, and they reflect the company's reality
without providing false information, [26].
Li, Park, and Bao, [27], emphasized that the
EM happens when managers alter IFRS-mandated
financial report preparation procedures or utilize
their own judgment to benefit them. It modifies an
organization's actual performance or the
transactions' actuality as reported in financial
statements, [28]. An example is when a firm adopts
the accrual basis in its financial system because it
allows for flexibility in information communication
and because management may use it
opportunistically to further its own interests by
concealing the company's losses, [29].
Abdallah, [30], advised that managers are
given the tools to monitor through a well-designed
incentive structure. Additionally, employing a
trustworthy external auditor, like the Big 4, can
stop the management's opportunistic activities and
acts. As one of the key variables in EM, the
influence of audit firm size is examined in this
study. There is increasing pressure on politicians,
investors, and proponents of corporate governance
reform to enact measures that would curb excessive
opportunistic behavior in corporate management.
2.1 Audit Firm Size and Earnings
Management
When it comes to the accounting and auditing
services offered, audit companies are categorized
based on their size. The Big 4, who are comprised
of Ernst & Young, Deloitte and Touche, KPMG,
and Price Waterhouse Coopers, were shown to
perform well in the prior survey. Investors have
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Hamzeh Fathi Alshare, Mohd Rizuan Bin Abdul Kadir,
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faith in the accuracy and fairness of financial
accounts because of their capacity to uphold a high
level of independence and integrity while providing
a variety of services to customers, [31].
Due to the significant clientele they serve, any
flaw in the Big 4 audit firms' work will have a
detrimental impact. Therefore, they will suffer
severe losses. The audit quality of the non-Big 4
audit firms is occasionally subpar because they are
more susceptible to reputational risks and
litigation-related concerns, [32].
Previous research on the association between
AFS and EM produced a variety of findings.
Orazalin & Akhmetzhanov [6] and Al-Haddad &
Whittington, [33] found no proof that AFS can
discourage EM. Similarly, Habbash & Alghamdi
[34], Abid, Shaique, & Anwar ul Haq [35],
Almarayeh et al. [22] and Ching et al. [36] observe
an insignificant role between AFS and EM.
However, a negative and significant relation
between AFS and EM was discovered by Nguyen
et al. [37], Selahudin, Fauzan, & Ahmad [38] and
Lin & Hwang [39]. Opposite, Alimoradi & Faraj
[40] and Al-Rassas & Kamardin [41] existed a
negative but insignificant relationship between
AFS and EM. Yet, Alves [42], Persakis & Iatridis
[43] and Musa & Saidu [44] indicated the existence
of a positive significance between AFS and EM.
According to the previous studies, this research
tests the following hypothesis:
H1: There is a significant relationship between
audit firm size and EM practices.
2.2 CEO Compensation and Earnings
Management
If CEO compensation is based on earnings, it may
be detrimental to organizations since it pushes
managers to EM. Accordingly, Bergstresser &
Philippon, [17], raised the possibility that managers
would get pay based on performance despite not
delivering services worthy of the award. It is
because managers have total authority over both
clarity and remuneration. Consequently, it would
be wise to look at the relationship between CEO
pay and EM.
Managers must take steps to display a
favorable picture of the firm while creating
financial reports in order for EM to occur in the
organization. Financial reporting, which has a
direct impact on managers' own wealth, becomes a
place to misrepresent, [45]. Managers may boost
and magnify their incentives by using the EM. As a
result, in contrast to experts' predictions, it also had
an influence on the company's operations, [17].
Since companies that employ CEO
remuneration do better than those that don't, Cheng
& Warfield [50], have issued a warning regarding
CEO, compensation. They found that the
businesses with unethical CEO compensation have
larger discretionary accruals. Previous research on
the relationship between CEO salary as reflected by
(CEO) and EM produced a variety of findings. a
positive relationship between CEO and EM was
discovered by Park [46]; Almadi and Lazic [47]; Li
and Kuo [18]; Ye [48]. However, Hassen [49];
Cheng and Warfield, [50], document a negative
relevance between CEO and EM. However,
Armstrong, Jagolinzer & Larcker [51] failed to
provide any evidence between CEO pay and
falsification of accounting reports. The
organizations where CEOs have higher levels of
incentives showed no indication of accounting
manipulation reports, on the other hand.
To stop directors from taking advantage of
their favorable position in order to boost their pay.
To oversee the practice of EM, the shareholders
may employ a respected external auditor, such as a
significant audit firm. The link between these
factors is anticipated to be moderated by the CEO
salary. The purpose of this study is to examine the
following hypothesis in light of prior studies:
H2: The CEO compensation moderates
relationship between audit firm size and
EM practices.
3 Research Methodology
The study investigates the relationship between
AFS and CEO compensation as a moderator
variable on EM. All corporates listed on the ASE
were included in the study’s population between
2015 and 2019. The financial sectors are omitted
due to different features used in reporting [52], as
they prepare their financial statements according to
different norms and accounting standards, [53].
All service and industrial businesses listed on
the ASE from 2015 to 2019 are included in the
sample. The sample consists of 81 businesses, of
which 43 are service-related and 38 are industrial.
405 balanced panel data observations in total were
collected. The ASE website's business financial
records were used to calculate the research
variables. (http://www.ase.com.jo).
3.1 Measurement of Variables
Based on Mcnichols & Wilson, [54], this study
employs discretionary accruals to measure EM
(dependent variable). This study employed the
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same equation as [30], [6], and [22] to quantify
discretionary accruals (DA) as a proxy for EM
using the Kothari, Leone, and Wasley [55] model:
DAi,t = TACi,t - NDAi,t (1)
The NDA stands for non-discretionary accruals,
where the TAC is for total accruals. Using the
following equation, the total accruals TAC was first
determined:
TACi,t = NIi,t - OCFi,t (2)
Where OCFi,t stands for operating cash flows and
NIi,t refers to net income before exceptional items.
After that, non-discretionary accruals NDA must be
found as follows:
NDA = β0+ β1(1/ TAi,t-1) + β2 (ΔREVi,t / TAi,t-1
– ΔRECi,t / TAi,t-1 ) + β3(PPEi,t / TAi,t-1)
+ β4(ROAi,t / TAi,t-1) (3)
Where I is for the company, t for the year, TA
stands for total assets, REV stands for change in
operating revenues, REC stands for change in net
receivables, PPE stands for change in gross
property, plant, and equipment, and ROA stands for
return on assets. Lastly, the DA is determined by
applying equation (1), total DA in equation (2)
minus the non-DA in equation (3).
Our main measure for Audit firm size (AFS) is
measured by using A dummy variable 1 if the firm
is audited by a Big 4 auditor, 0 otherwise, [43].
This study also used a Log of total CEO
compensation for the year to measure the CEO
compensation (CEO) [45].
3.2 Regression Model
This study evaluated the following regression to
test the study hypotheses and examined the
association between AFS and CEO as a moderate
with EM:
EM = β 0 + β 1AFS + β 2CEO + β 3AFS* CEO +
β4LEV + β 5ROA + β6FSIZE + β6MTB+
β7CURRENT + β8BSIZE + ei,t (4)
4 Result & Discussion
4.1 Descriptive Statistics
The variables' minimum, maximum, mean, and
standard deviation values are included in Table 1's
descriptive statistics. The mean value of earnings
management as measured by DA is 0.02, which is
strikingly comparable to research by Kamarudin,
Mohamad Ariff, and Wan Ismail from other
countries [56], The Big 4 auditors are utilized by
around 48% of Jordanian businesses, according to
the mean value for the AFS, which is 0.48. The
CEO remuneration in Jordan is substantial, as
indicated by the CEO mean of 77446JD, which
demonstrates the CEO's influence over decision-
making. The data also reveals that the average LEV
value is 0.352, meaning that 35% of a company's
assets are financed by debt. The typical ROA value
is 0.016. The typical value of the variable FSIZE is
4.89. Knowing that there are organizations with
strong performance, the highest value for
CURRENT is 902.165 and the CURRENT mean is
7.69. This result also shows that current assets
constitute 7.69% of total assets, which is a
relatively low proportion. The MTB mean is 1.24.
The BSIZE variable ranges in value from 5 to 14,
with a typical value of 7.88.
The Pearson correlation analysis of the
independent and dependent variables is shown in
Table 2. The findings indicate that the majority of
independent factors are positively correlated.
According to the results, the CEO and DA have
positive correlations (r = 0.143; p=0.004) and AFS
has a positive association (r = 0.041; p=0.41).
BSIZE and CEO had the strongest connection (r =
0.493; p=0.000) among the variables in Table 3.
Table 1. Descriptive statistics
variables
Minimum
Maximum
Std. Deviation
DA
-0.365
2.106
0.231
AFS
0
1
0.50
CEO
400
533335
3
LEV
0.001
0.959
0.228
ROA
-0.613
0.387
0.097
FSIZE
2.602
5.727
0.493
MTB
0.117
12.41
1.252
CURRENT
0.02
902.165
59.856
BSIZE
5
14
2.344
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4.2 Main Empirical Results
This study used fixed effect regression models to
examine the hypotheses. The regression estimates
for the influence of AFS and CEO as a moderator
variable on EM are shown in Table 3. The findings
of this study, shown in Table 3, show a strongly
positive connection between AFS and EM, which
rules out the Big 4's effectiveness in lowering EM.
This finding contradicts the agency theory.
Table 2. Correlation analysis
Probability
DA
AFS
CEO
LEV
ROA
FSIZE
MTB
CURRENT
BSIZE
DA
1
-----
AFS
0.041
1
0.41
-----
CEO
0.143
0.272
1
0.004
0
-----
LEV
0.035
-0.043
0.388
1
0.479
0.388
0
-----
ROA
0.185
0.16
0.283
-0.241
1
0.001
0.002
0
0
-----
FSIZE
0.095
0.057
0.317
0.144
0.099
1
0.056
0.248
0
0.004
0.046
-----
MTB
0.045
0.082
0.137
0.095
0.329
0.02
1
0.371
0.098
0.006
0.056
0
0.694
-----
CURRENT
0.035
-0.087
-0.228
-0.161
-0.018
0.003
0.061
1
0.478
0.08
0
0.002
0.692
0.095
0.223
-----
BSIZE
0.095
0.255
0.493
0.003
0.176
0.367
0.046
-0.114
1
0.055
0
0
0.095
0.001
0
0.355
0.021
-----
But it contradicts [40, [41] and is in line with [42,
[43], [44]. In light of this finding, the first
hypothesis is accepted, which states: there is a
significant relationship between AFS and EM.
The CEO result in Table 3 shows a negligibly
beneficial impact on EM. This outcome shows that
the CEO frequently manipulates company earnings
to increase remuneration. This finding conflicts
with the agency theory, which claimed that if the
CEO had a larger salary, he or she would be more
likely to disclose critical information about the
business that would help to minimize conflicts of
interest, [57]. This outcome is in line with [19] and
[18]. Table 3 showed that the combined effect of
the CEO and the AFS was significantly and
negatively related to EM. This demonstrates the
significance of the joint effect in reducing EM
behaviors and its crucial role as a moderator.
According to this, the Big 4 audit firms and CEO
compensation assist Jordanian businesses boost the
legitimacy of their revenues. This outcome
supports the agency theory. On the basis of the
aforementioned, the second hypothesis, which
states: The CEO compensation moderates
relationship between audit firm size and EM
practices. Additionally, the control variables LEV,
FSIZE, MTB, and BSIZE had negligible
relationships to EM. However, there is a significant
correlation between CURRENT and ROA and EM.
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Hamzeh Fathi Alshare, Mohd Rizuan Bin Abdul Kadir,
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Table 3. Fixed effect model
Variables
Result of regression model
AFS
1.25*** (2.67)
CEO
.524 (1.57)
CEO*AFS
-.173*** (-2.82)
LEV
.056 (.87)
ROA
.737*** (7.39)
FSIZE
-.005 (-.16)
MTB
-.003 (-.37)
CURRENT
.001*** (8.11)
BSIZE
.008 (0.84)
C
-3.88 (-164)
R- squared
0.316
F- Statistic
1068.3***
No. of obs
405
*, ** and *** represent significance at p<0.10, <0.05 and <0.01, respectively.
Table 4. Unit Root Test
Variables
ADF
LLC
I(0)
I(1)
I(0)
I(1)
DA
284.891***
388.847***
-36.354***
-52.277***
AFS
65.513
23.212
-4.744***
-2.343***
CEO
202.573**
279753***
-7.603***
-1096.2***
LEV
190.454*
269.803***
-14.917***
-49.384***
ROA
276.468***
378.379***
-92.663***
-103.655***
FSIZE
226.87***
308.818***
-21.603***
-46.16***
MTB
248.173***
340.572***
-14.358***
-88.533***
CURRENT
250.032***
340.462***
-19.439***
-66.395***
BSIZE
3.637
16.096**
-4.307***
-6.517***
*, ** and *** represent significance at p<0.10, <0.05 and <0.01, respectively.
4.3 Robustness Analysis
This study involves a number of tests to make sure
the conclusions hold up to different metrics. The
tests include tests for serial correlation,
heteroscedasticity, and unit root. First, the
enhanced Dickey-Fuller (ADF) and Levin-Lin-Chu
(LLC) tests were performed in this study. To
ascertain whether a time series is stationary, or
whether a change in time does not result in a
change in the distribution's shape, a unit-root test
was undertaken. The dependent variable DA has p
values less than 0.01, which indicates that the
variable is stationary, according to the LLC test.
Table 4 present a unit root test determines whether
a variable in a panel data set is stationary or
nonstationary. Further evidence that all the factors
in the panel data are stationary comes from the fact
that both the control and moderating variables
produced the same outcome. In order to rule out
biases and confirm that the regression model is
significant, this study also tests the data for
heteroscedasticity. In order to identify a
heteroscedasticity problem in the dataset, this
research applied the Modified Wald test for
GroupWise heteroscedasticity in a FEM. The panel
data used for this analysis's p-value (probability >
chi2) was found to be more than 0.1, showing that
there is no heteroscedasticity problem for DA. The
outcome is shown in table 5 below.
Third, serial correlation is tested in this study. A
dataset with serial correlation produces a biased
model that is unsuitable for sophisticated data
analysis. As a result, the Wooldridge test analysis
was utilized in this study to identify the problem of
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serial correlation. Table 6 presented the
Wooldridge test results. The outcome demonstrated
that there was no serial association in this
investigation.
Table 5. Modified Wald test
H0: sigma(i)^2 = sigma^2 for all i
Chi2 (81) = 1.3e+05
Prob>chi2 = 0.256
*, ** and *** represent significance at p<0.10,
<0.05 and <0.01, respectively.
Table 6. Wooldridge test for autocorrelation
H0: no first order autocorrelation
F(1, 80) = 0.001
Prob>f = 0.9697
*, ** and *** represent significance at p<0.10,
<0.05 and <0.01, respectively.
5 Conclusions
The aim of this research is to investigate the effect
of AFS on EM and combined influence of CEO
compensation as a moderating variable in
companies listed on the ASE. A panel data set from
81 industrial and service companies from 2015 to
2019 was used in the study. The study's findings
showed that EM has a positive and significant
impact on AFS; this suggests that the Big 4 audit
firms are unable to reduce EM because of the
results' increased firm size; and this suggests that
major corporations are eager to report financial
statement errors and provide transparent, truthful
information. The findings also revealed that just a
small percentage—35% of the company's assets—
were derived from indebtedness, indicating that
managers are not actively seeking to take risks by
engaging in opportunistic conduct to escape debt
arrangements. Based on this, shareholders and
stakeholders shouldn't rely solely on Big 4
companies to solve EM and agency issues, as well
as CEO compensation when it is a somewhat
variable. It can be said that corporate governance
must be done fully and jointly and be under
supervision to ensure its full application in order to
reduce opportunistic practices and reducing agency
problems. The study revealed that the joint effect of
AFS and CEO compensation on EM had a
significant and negative relationship; this indicates
the strength of the joint effect in limiting EM.
This study used CEO compensation as a
moderating variable to address a knowledge gap
about earnings management in Jordan. New
analyses on the prospect of restricting profits
management were offered. This study's coverage of
the time before and after the 2017 changes to the
Corporate Governance Law is one of its
contributions. This study suggests that companies
should not rely just on the Big 4 to audit their data;
instead, they should pay attention to the industry
specialty of their auditors and be able to afford
audit costs in addition to offering the CEO the
proper incentives.
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