American Journal of Economic
and Management Business
p-ISSN: XXXX-XXXX
e-ISSN: 2835-5199
Vol. 3 No. 5 May 2024
The Effect of
Good Corporate Governance, Financial Distress, and Company Size on the
Integrity of Financial Statements on Transportation and Logistics Companies
Listed on the Indonesia Stock Exchange
Sri Daryanti Zen1*,
Rezki Hidayat2
1,2Universitas Andalas, Padang, West
Sumatera, Indonesia
Email: [email protected]
Abstract
This study aims to examine the influence of good corporate
governance (measured by managerial ownership, institutional ownership,
independent commissioners, and audit committee), financial distress, and
company size on the integrity of financial statements. The sample consists of
transportation and logistics companies listed on the Indonesia Stock Exchange
consecutively from 2020-2022, with a total of 22 companies observed over 3
years. The purposive sampling technique was used for data collection, and
multiple linear regression analysis was conducted using SPSS Version 26
software. The results indicate that good corporate governance has no
significant effect on the integrity of financial statements, financial distress
has a positive and significant effect, and company size has no significant
effect on the integrity of financial statements. These findings suggest that
financial distress may drive companies to improve transparency, highlighting
the importance for regulators and policymakers to consider these factors in
enhancing corporate accountability in the transportation and logistics sector.
Keywords: Integrity Of
Financial Statements, Good Corporate Governance, Financial Distress, Company
Size, Transportation,
Stock Exchange.
INTRODUCTION
Accurate information has become one of the main
needs for every business person. The information obtained will later influence
various parties to shape business decisions
Each company presents financial statements as a
form of accountability to related parties. Concerning Financial Accounting
Standards (SAK) in 2022 that the purpose of submitting financial statements is
to provide information about the financial position, performance and cash flow
of a company, one of which is useful for most report users in making economic
decisions
Several cases of manipulation of financial
statements occurred, one of which was at PT Tiga
Pilar Sejahtera Food Tbk (AISA), where it is
suspected that there was a drastic swelling in accounts receivable, fixed
assets, and inventories. This was found because the old directors of the
reported company whistlebled revenue worth IDR 662
billion and on EBITDA posts worth IDR 329 billion. This case was found in the
report on the results of the fact investigation by PT Ernst & Young
Indonesia (EY)
There are angles that represent the integrity of
the financial statements, including good corporate governance, financial
distress, and company size
Based on the description above and the results
of several studies that have been carried out by previous researchers, the
researcher made this study to continue the previous research with a different
object from the research
RESEARCH
METHODS
This
study aims to analyze and explain the influence of good corporate governance,
which is divided into 4 mechanisms (managerial ownership, institutional
ownership, audit committee and independent commissioner), financial distress,
and company size on the integrity of financial statements. The population in
this study uses companies in the Transportation and Logistics sector from
2020-2022 listed on the Indonesia Stock Exchange (IDX).
The
methodology used is descriptive and verifiable research methods with a
quantitative approach. By using this research method, a significant
relationship between the variables studied will be known so that the conclusion
will clarify the picture of the object being studied. The data used in this
study is secondary data. The use of data comes from annual reports obtained on
the IDX (Indonesia Stock Exchange) website.
Table 1. Variables and
Measurements
Research
Variables |
Indicator
Formula |
Independent
Variable : Managerial Ownership (X1) (Yulianah, 2019) |
Managerial ownership= |
Institutional Ownership (X2) (Arista.dkk., 2018). |
Institutional
ownership= |
Audit Committee (x3) (Ainiyah et al.,
2021) |
Audit
Committee= |
Independent Commissioner (x4) (Ainiyah et al.,
2021) |
Independent
commissioner= |
Financial Distress(X5) (Indrasari et al.,
2016) |
Financial
distress = |
Company Size (x6) (Ismail, 2018). |
Company
size = |
Dependent
Variable : Integrity of financial statements (Y) (Yendrawati & Hidayat, 2021). |
ILKit = Book
value per sheet = |
Sample Collection Techniques
Companies engaged in the transportation and logistics
sector listed on the Indonesia Stock Exchange (IDX) for the 2020-2022 period
are the population used by researchers. The researcher uses sampling based on
purposive sampling, where the researcher takes samples based on the provisions
of the criteria that have been determined by the author, the samples used in
the study must meet the following criteria:
1. The company is still listed on the Indonesia
Stock Exchange (IDX) in the transportation and logistics sector for the
2020-2022 period.
2. Companies that did not experience delisting
during the period under study 2020-2022.
3. The company produced consecutive annual reports
during 2020-2022.
4. Companies that use the value of the rupiah
currency in their annual financial statements.
5. Companies that did not publish financial
statements for the financial year ended December 31.
Data Collection Techniques
The data collection in this study uses secondary data from
the annual financial statements listed on the Indonesia Stock Exchange of
companies engaged in the transportation and logistics sector for the 2020-2022
period. The researcher then takes data from the financial statements.
Data
Analysis Methods
The researcher used quantitative
data in this data analysis and
conducted a hypothesis test using descriptive statistical methods, classical
assumption tests and multiple linear analysis. To find out how much is the
relationship between (independent variables) managerial ownership,
institutional ownership, audit committee, independent commissioners, financial
distress, and company size with (independent variables) integrity of financial
statements. The software used in this study is SPSS version 26.
RESULT AND
DISCUSSION
Descriptive Statistics
Descriptive
statistical analysis aims to find out an overview of the number of samples,
minimum values, maximum values, mean values, and standard deviations of each
variable. The following are the descriptive statistics of independent variables
and dependent variables in this study:
Table 2. Descriptive
Statistics
Variable |
Minimum |
Maximum |
Mean |
Deviasi Hours |
Managerial Ownership |
0,00 |
0,82 |
0,24 |
0,23 |
Institutional Ownership |
0,00 |
0,98 |
0,59 |
0,28 |
Komite Audit |
1 |
3 |
2,97 |
0,26 |
Independent Commissioner |
0,13 |
0,67 |
0,44 |
0,11 |
Financial Distress |
-9,36 |
13,01 |
2,45 |
5,80 |
Company Size |
24,60 |
29,61 |
26,77 |
1,42 |
Integrity of Financial Statements |
-2,36 |
8,95 |
1,96 |
2,67 |
Source:
Data processed by SPSS version 26
The
descriptive result of the integrity of the financial statements was 1.96 with a
standard deviation of 2.67. This means that the average is above 1 which shows
that the current stock market price is much higher than the book value, which
is up to 2.67 times. Thus, the company has been able to generate greater value
on the investment invested in its equity book value. The standard deviation
value above the average value shows that the size of the dissemination of
financial statement integrity data is quite high.
The
descriptive result of managerial ownership is 0.2413 or 24.13%, with a maximum
value of 0.82 or 82% and a minimum value of 0%, which means that there is no
managerial ownership in the company. This value shows that the average
proportion of managerial ownership owned by the company is quite small; most of
it is even non-existent.
The
descriptive result of institutional ownership is 0.5941, or 59.41%. This shows
that most of the sample companies are owned by institutions, with a portion of
share ownership of 59.41%. The maximum value is 0.98, or 98%. This shows that
the highest institutional ownership of the sample company is 98%. A minimum
value of 0% means that there is no institutional ownership in the company.
The
descriptive result of the audit committee was 2.97, and the standard deviation
was 0.260, with the lowest audit committee member being one audit committee
member at all and the most 3 people. The average score is close to 3, meaning
that the company has placed an audit committee of 3 people. This is in
accordance with BAPEPAM regulations, which state that the audit committee
consists of at least 3 members and one of its chairmen concurrently serves as
an independent commissioner.
The
descriptive result of independent commissioners is 0.4408, meaning that
transportation and logistics companies have an average of 44.08% of the total
board of commissioners. When compared to the existing regulations from BAPEPAM,
which only limit a minimum of 30%, the use of this independent board of
commissioners has exceeded or exceeded what is set by the regulations.
Meanwhile, the standard deviation value of 0.1264 means that there is a fairly
homogeneous distribution of data because the standard deviation value is below
the average value.
The
descriptive financial distress results are a minimum value of -9.36 and a
maximum value of 13.01, with a standard deviation of 5.80. The average value of
financial distress in transportation and logistics companies is 2.45. This
shows that the average value of the company is in the gray area, which is
1.1< Z < 2.6, the nominal gray area, according to the Altman Z-score
method, means that the average transportation and logistics company in the
period of the research year that coincided with the covid-19 virus pandemic is
still gray, some are affected and not affected by the virus pandemic and are
classified as healthy criteria and do not face financial difficulties.
The
descriptive results of the company size are a minimum value of 24.60 and a
maximum value of 29.61 with a standard deviation of 1.42. A mean value that is
higher than the standard deviation value in this variable means that the mean
value can be used as the output of the overall data. The average score of 26.77
explains that the data is homogeneous.
Table 3. Normality Test
Normality Test |
|
Exact Sig. (2-tailed) |
0,107 |
Source:
Data processed by SPSS version 26
Based
on Table 3, the normality test results using the exact test shown in Table 3
show that the exact sig. (2-tailed) with a nominal significance of 0.107 >
0.05, this can be indicated that the data used in this study is normally
distributed.
Table 4. Multi community
Test
Variable |
Tolerance |
VIF |
Information |
Managerial Ownership (X1) |
0,448 |
2,232 |
No multiconnectivity |
Institutional Ownership (X2) |
0,448 |
2,230 |
No multiconnectivity |
Audit Committee (x3) |
0,879 |
1,138 |
No multiconnectivity |
Independent Commissioner (x4) |
0,836 |
1,197 |
No multiconnectivity |
Financial Distress (X5) |
0,871 |
1,148 |
No multiconnectivity |
Company Size (x6) |
0,777 |
1,286 |
No multiconnectivity |
Source: Data processed by SPSS version 26
Based
on Table 4, the test results found that the Tolerance value was quite large,
close to 1, and the VIF value was very small, below 10. This means that there
are no multicollinearity symptoms in this study's regression model. This result
means that the use of independent variables consisting of managerial ownership,
institutional ownership, audit committee, independent commissioner, financial
distress and company size is a good model because the four independent
variables are not strongly correlated with each other, so the independence of
the six variables is very good.
Source: Data processed by SPSS version 26
Picture 1. Heteroscedasticity
Test
Based on Figure 1 of the scatterplot
graph, From the scatterplot chart above, it can be seen that the dots are
randomly spread and scattered both above and below the number 0 on the Y axis.
Table 5. Multiple Linear
Regression Analysis
Variable |
Koefesien |
C |
-34,095 |
Managerial Ownership |
6,048 |
Institutional Ownership |
5,996 |
Komite Audit |
-0,694 |
Independent Commissioner |
-4,289 |
Financial Distress |
0,296 |
Company Size |
1,292 |
Source:
Data processed by SPSS version 26
Based
on Table 5, the regression model obtained:
Y = -34,095 + 6,048X1 + 5,996X2 –
0,694X3 – 4,289X4 + 0,296X5 + 1,292X6 + e
Table 6 Coefficient of R
Determination2
N |
59 |
Adjusted R Square |
0,021 |
Source : Data processed by SPSS version 26
Based on Table 6, the value of Adjusted R2 is
0.021 or 2.1%. Thus the integrity of financial
statements can be explained by the six variables of managerial ownership,
institutional ownership of the audit committee, independent commissioners,
financial distress and company size of 2.1%, and the remaining 97.9% is influenced
by other variables not mentioned in this study.
Table 7. Model Feasibility
Test (Test F)
N |
59 |
Fstatistic |
518,677 |
Prob (Fstatistic) |
0,000 |
Source:
Data processed by SPSS version 26
Based on Table 7, the processing results of the
model feasibility test on regression show that the nominal probability (Sig) is
equal to 0.000 with a nominal significance of 0.05 and a value of Fcal > Ftable. Thus, it can be
stated that this regression model passed the model feasibility test and on the
variables of GCG (managerial ownership, institutional ownership, audit
committee, independent commissioner), financial distress, and company size,
Table 8. Partial Test
(t-Test)
Variable |
Prediction |
Coeffecient |
Prob. |
One Tail (t) |
Conclusion |
Managerial Ownership |
+ |
0,189 |
0,367 |
0,909 |
H1a does not support |
Institutional Ownership |
+ |
0,234 |
0,274 |
1,105 |
H1b support |
Komite Audit |
- |
0,073 |
0,581 |
0,555 |
H1c support |
Independent Commissioner |
- |
0,107 |
0,399 |
0,849 |
H1D support |
Financial Distress |
+ |
0,263 |
0,049 |
2,009 |
H2 does not support |
Company Size |
+ |
0,254 |
0,071 |
1,836 |
H3 does not support |
N=59 |
|
Source : Data processed by SPSS version 26
The effect of managerial ownership
on the integrity of financial statements
From the results of the test that has been carried out, the
count value < table for the managerial ownership variable is 0.909 <
2.0010; Ho is accepted, meaning that there is no significant influence between
the managerial ownership variable on the integrity of the financial statements
which means that it does not support the hypothesis. This is because of the
small portion of managerial ownership in the sample used, which is only 24.13%
on average, so its existence does not impact the integrity level of financial
statements.
The
results of this finding are in line with research conducted by Heraida et al.
The
effect of institutional ownership on the integrity of financial statements
Based on the results of the test that has been
carried out, the table < tcal value for the
institutional ownership variable is 1.105 < 2.0010; Ho is accepted, meaning
that there is no significant influence between the institutional ownership
variable on the integrity of the financial statements which means that it
supports the hypothesis. The average portion of institutional ownership is
quite large, which is 59.41%, which means that most of the share ownership in
this study is owned by institutions, but in fact, no matter how much the
portion of institutional share ownership will not affect the integrity of the
report of a financial report.
The results of Drevanda's
research
The influence of the audit
committee on the integrity of financial statements
Based on the test results, the count value <
table for the audit committee variable was -0.555 < 2.0010; Ho was accepted,
meaning that there was no significant influence between the audit committee
variables on the integrity of the financial statements. These results prove
that they support the hypothesis. The study's results are also in line with Zuhry
This result is not in line with the agency
theory, the audit committee exercises control to handle conflicts between
principals and agents. There are several ways, namely monitoring and incentive
contracts. The first control system is to monitor the actions of managers that
shareholders can design to prevent opportunistic agent actions and enhance
wealth agents at the expense of shareholders' interests. A second is an
incentive contract that is suitable for limiting opportunistic agent behaviour by implementing good corporate governance
mechanisms
The influence of independent
commissioners on the integrity of financial statements
The
results of the test showed that the count value < table for the independent
commissioner variable was -0.849 < 2.0010; Ho was accepted, meaning that
there was no significant influence between the independent commissioner
variables on the integrity of the financial statements. These results prove to
support the hypothesis.
The
results of this study are also in line with the research conducted by Anggita et al.
Based on the theory of agency, the
position of independent commissioner should be able to improve management
performance better because the actions taken by management are supervised by
independent commissioners and independent commissioners will protect rights
outside the company. Therefore, companies that have independent commissioners
of financial statements presented by management will have more integrity.
The effect of financial distress on
the integrity of financial statements
The results of the test showed that the
significance value of the financial distress variable was 0.049 < 0.05 with
the value of calculated>t table, which was 2.009 > 2.0010,
meaning that Ho was rejected, H1 was rejected. The variable of financial
distress has a positive and significant effect on the integrity of financial
statements. These results prove that the H2 hypothesis does not support the
hypothesis.
The results are contrary to research conducted
by Kusuma
Based on positive accounting theory, this is
because companies that are experiencing financial distress and have poor
prospects will try to provide better signals to the public and interested
parties through the implementation of conservative accounting in order to
restore public trust in the company, which will also result in an increase in
the integrity of the company's financial statements.
The effect of company size on the
integrity of financial statements
For the variable of company size on the
integrity of financial statements, the test results showed that the value of
the calculation > the variable of company size was 1.836 < 2.0010, Ho was
accepted, meaning that the size of the company had no effect on the integrity
of the financial statements. These results prove that the H3 hypothesis does
not support the hypothesis. The results of this study are contrary to Kusuma's
research
Based on signal theory, the relationship between
company size and signal theory shows that the larger the size, the better the
company's investment management. Because investment decisions can give a good
sign for investors so that the company can manage well to generate profits. In
general, the size of the company affects the valuation of investors. Investors
will seek as much information as possible before making an investment decision.
CONCLUSION
This study aims to analyze and explain the relationship between good corporate governance projected and (managerial ownership, institutional ownership, audit committee, independent commissioner) financial distress, and the company's size of the integrity of financial statements. The sample in this study is companies in the transportation and logistics sector that are published on the Indonesia Stock Exchange in the 2020-2022 period, and the companies used as a sample are 22 entities that are used as research samples with a research period of 3 years. So that the total sample observed by the authors in this study is 66 sample data minus 7 outlier data, so there are 59 research data, so that several conclusions are obtained as follows: The results of the study show that managerial ownership does not have a significant effect on the integrity of financial statements. The results of the study show that institutional ownership does not have a significant effect on the integrity of financial statements. The results of the study show that the audit committee does not have a significant effect on the integrity of financial statements. The results of the study show that independent commissioners do not have a significant effect on the integrity of financial statements. The results of the study show that financial distress has a positive and significant effect on the integrity of financial statements. The results of the study show that the size of the company does not have a significant effect on the integrity of financial statements.
Suggestions for users of the results of this study are expected to
support the understanding of the integrity of financial statements for
financial report users, both management as internal parties and investors and
creditors as external parties to take appropriate policies. For the next
research, it is hoped that it can increase and expand the research sample so
that it can obtain maximum results and select research objects that can support
research variables.
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Copyright holders:
Sri Daryanti Zen, Rezki Hidayat (2024)
First publication right:
AJEMB – American Journal of Economic
and Management Business