Syntax Literate: Jurnal Ilmiah
Indonesia p�ISSN: 2541-0849 e-ISSN: 2548-1398
Vol. 7, No. 12, Desember 2022
The Influence Of Company Characteristics And Corporate Social Responsibility Disclosure On Firm Value On Sri Kehati Index Companies 2016-2020
Amanda Tiara Salsha Putri, Suripto
Program Studi Akuntansi, Fakultas Ekonomi Dan Bisnis, Universitas Pamulang, Indonesia
Email: [email protected], [email protected]
Abstract
This study intends to examine and collect empirical
evidence regarding the influence of Company Characteristics and Corporate
Social Responsibility Disclosure on firm value. This study uses a sample of the
IDX Sri Kehati company from 2016 to 2020. The sample
of this study was determined using a purposive sampling approach, which
resulted in 12 companies being the research sample with observations for 5
(five) years, with a total of 60 companies reporting reports. This research is
an example of associative quantitative research. The analytical method used is
panel data regression. The result of this study are:
(1) Company Characteristics as proxied by Managerial Ownership has a negative
influence on Firm value, and (2) Company Characteristics as proxied by Board of
Commissioners Size has no significant influence on Firm value. (3) Corporate
Social Responsibility Disclosure has no significant influence on firm value.
(4) Company characteristics as proxied by managerial ownership, company
characteristics as proxied by board of directors size,
and Corporate Social Responsibility Disclosure all affect firm value
simultaneously.
Keywords:� Managerial Ownership; Size of
the Board of Commissioners; Corporate Social Responsibility Disclosure; and
Firm value
Introduction
To produce goods and
services for sale, Enterprise Measurement can unite and organize various
resources (Nahda & Harjito, 2011).
Firm value is an investor's impression of the company, which is often
associated with stock prices. Company owners want high firm value because high
firm value indicates high shareholder prosperity (Sondokan, Koleangan, &
Karuntu, 2019).
Firm value is usually
measured by comparing its book value with its market value. To calculate the
market value of the firm by multiplying the market price of its shares and the
number of shares outstanding, while calculating the book value of the firm's
equity by subtracting the book value from the total assets and liabilities (Stacia & Juniarti,
2016).
Tobin's Q ratio is used to
make one book value and market value of equity to estimate the value of the
firm. The market value of company assets (calculated as market value of
outstanding shares plus company debt) divided by the cost of replacing assets
is known as Tobin's Q ratio (Dewi & Nugrahanti,
2014). To maximize the
value of the firm for investors, management strives to improve the company's
performance and increase its value. A clear indication of this is the number of
firms seeking to maximize profits using current resources.
In this study, the Firm Value variable
shows the GAP phenomenon. This trend is seen
in the decline in the share price
of PT. Bank Central Asia,
Tbk. (BBCA). BBCA's share price was reported
to have fallen
by Rp350, or 1.63 percent, from the
close of trading earlier on Thursday afternoon
(21/6/2018).Director of BCA
Santoso admitted that it was impossible
to separate the decline in the issuer's share
price from global sentiment (Bisnis.com, 2018).
Another�GAP�is the dramatic decline
in revenue and net income that PT. Astra
International, Tbk (ASII) experienced last year. The holding company for plantations, financial services, mining, heavy equipment,
and cars posted a net profit of Rp 16.16 trillion in 2016. ASII's net
profit fell 25.56 percent from Rp 21.71 trillion in the first year
of 2019 (investasi.kontan.id, 2020).
In this study, the value of the
firm is influenced
by several factors, including company characteristics and corporate social
responsibility disclosure
(CSRD), which is an issue that
is currently being discussed as a tool that can
solve problems in the management and accountability of modern companies.
Company characteristics are the
things that are tied to the
company and can be used
to identify the company when
they are present. Every company is
different from the others in several
ways. Managerial ownership and the
size of the
board of commissioners are the mechanisms of the
company's features that will be
examined in this study to have an
influence on the value of
the firm. This technique is used because
management ownership is an internal mechanism of the
company, while external and internal mechanisms (Suastini, Purbawangsa,
& Rahyuda, 2016).
The characteristics of
a corporation represented by managerial ownership
include the fact that management
owns shares in the company and
actively participates in decision making. The size of managerial share
ownership in a company can reveal if
management and shareholders have the same interests
(Tarantika & Solikhah,
2019). The board in charge of supervising and providing advice
or direction to the company's
directors is a feature of the
company which is symbolized by
the size of the board
of commissioners.
In addition, the research GAP of this study is the
result of corporate social responsibility. The results of data collection and analysis show
that disclosure has the potential to
increase company profitability. This means that if
the company can implement and
improve information disclosure of CSR activities, it will increase profitability
because it can foster a good
perception among the wider community.
One of the factors that influence
firm value in this study is Corporate
Social Responsibility Disclosure (CSRD), a subject that is now
seen as a tool that can solve
problems in current management and organizational responsibility.
According�to Widyowati & Rani's (Widyowati & Rani,
2019)�on Corporate Social Responsibility Disclosure, the relationship between CSRD and profitability shows that the CSRD variable
has a positive and significant influence in predicting the results of company
profitability with ROA,
ROE, and NPM ratios.
Purnamawati et al. (Purnamawati, Yuniarta,
& Astria, 2017)�claim�that the relationship between CSR and value has no significant
influence because the organizations studied do not fully implement CSR activities in accordance with the required
criteria, which include 130 items or indicators.
The above description shows that there
is a research gap between the findings
of one study and another. Therefore,
it would be useful to
review research on the influence
of corporate social responsibility disclosure and corporate characteristics.
Based on the background
described above, it can be seen that the formulation of the problem from this
research is as follows:
1.
Do the characteristics of the company as proxied by managerial ownership
affect the value of the firm?
2.
Do the characteristics of the company as proxied by the size of the board
of commissioners affect the value of the firm?
3.
Does corporate social responsibility disclosure affect the value of the
firm?
4.
Do the characteristics of the company as proxied by managerial ownership,
the characteristics of the company as proxied by the size of the board of
commissioners, and corporate social responsibility disclosure affect the value
of the firm?
Method
Secondary data is a source of research data for this study,
which is categorized as quantitative research. 25 Sri Kehati
Index companies listed on the IDX from 2016 to 2020 became the research sample.
Samples from 12 organizations with 60 observation data points over a period of
5 years were obtained using purposive sampling technique.
Table
1�Example Standards
No |
Example�Standards |
Does not meet Standards |
Meet the Standards |
1 |
Sri Kehati Index Company listed
on the IDX during 2016-2020. |
- |
25 |
2 |
Companies�that are consistently included in the Sri Kehati index for the
2016-2020 period. |
9 |
16 |
3 |
Sri Kehati Index Company which
uses Rupiah currency. |
1 |
15 |
4 |
Companies�whose financial statements provide complete data such as total shares, total assets, and in relation to the
variables studied.. |
3 |
12 |
Observation�year: 2016-2020 =
5 years Total data: 12 x 5 = 60 data |
Source: Secondary data processed (2022)
The literature study method
and secondary data documentation were used as data collection techniques in
this study. The secondary data used is the annual report that has been listed
by IDX companies on the Sri Kehati Index during
2016-2020.
The methods used for data
analysis include descriptive statistics, panel data regression model selection,
classical assumption testing (normality, multicollinearity, heteroscedasticity,
autocorrelation), panel data regression analysis, and hypothesis testing. The
influence of company characteristics and corporate responsibility disclosure as
independent variables on firm value as the dependent variable.
Results And Discussion
A. Results
1.
Descriptive Statistical
Test
a.
The mean, maximum, and minimum
values were used to describe the descriptive statistical
analysis. The following are the results of the descriptive statistical analysis
of this study:
b.
In 2016 PT. Bank Mandiri Tbk. has a company
variable value with a minimum value of 9.24, and in 2017 PT. Kalbe Farma Tbk has a maximum score of
4.93. The mean value is 1.58, with a standard deviation of 76.44.
c.
The smallest managerial ownership
value is -6.141 in 2016 owned by PT. Unilever Indonesia Tbk
in 2016. While the maximum value of -2,550 is owned by PT. Kalbe Farma Tbk in 2019. The average is
-3.987 and the standard deviation is 39.143.
d.
In 2018, PT. Unilever Indonesia Tbk has a minimum value of 1,098. In 2016, PT. Astra
International Tbk has a maximum value of 2,484. The
average value is 1,910 and the foreign exchange standard is 4,743.
e. In
2019, PT. Astra International Tbk has a Corporate
Social Responsibility variable with a minimum value of 1,407 and PT. Wijaya Karya in 2018 Tbk. has a maximum
value of 1,830. The mean value is 1.614 and the standard deviation is 0.795.
Table
2�Descriptive Statistics Test Results
|
|
|
|
|
|
Firm
Value |
Managerial
Ownership |
Board
of Commissioners |
Corporate Social Responsibility Disclosure |
Mean |
1.581938 |
-3.987298 |
1.910670 |
1.614148 |
Median |
1.160217 |
-3.983339 |
1.945910 |
1.630769 |
Maximum |
4.931390 |
-2.550774 |
2.484907 |
1.830769 |
Minimum |
9.24E-06 |
-6.141294 |
1.098612 |
1.407692 |
Std.
Dev. |
1.178926 |
0.843622 |
0.293687 |
0.120227 |
Skewness |
1.391958 |
-0.482922 |
-0.529363 |
0.025175 |
Kurtosis |
4.213905 |
3.054844 |
3.493238 |
1.839669 |
|
|
|
|
|
Jarque-Bera |
21.52208 |
2.183680 |
3.183092 |
3.147440 |
Probability |
0.000021 |
0.335598 |
0.203611 |
0.207273 |
|
|
|
|
|
Sum |
88.58850 |
-223.2887 |
106.9975 |
90.39231 |
Sum Sq.
Dev. |
76.44265 |
39.14337 |
4.743848 |
0.795003 |
|
|
|
|
|
Observations |
56 |
56 |
56 |
56 |
Source :�Secondary Data Processed (2022)
2. Panel�Data Regression Model Selection
Common effect model (CEM),
fixed effect model (FEM), and random effect model (REM) are three panel data
regression models that can be used for panel data regression analysis (REM).
Three tests, the Chow test, Hausman test, and the Lagrange multiplier test,
provide the best model selection approach for panel data regression analysis.
The Chow test, which was used to select the panel data regression model,
resulted in a cross section probability F of 0.0000
< 0.05. According to the Hausman test, the Chi-Square probability value is
0.3121 > 0.05. The LM test shows a p value of 0.0000 <0.05. So it can be concluded that the random effect model is the
right model to be used as a panel data regression model.
Table
3�Panel Data Regression Model Test
No |
Metode |
Hasil |
1 |
Chow Test |
Fixed Effect |
2 |
Hausman Test |
Random Effect |
3 |
Lagrange Multiplier Test |
Random Effect |
Source:
Secondary Data Processed (2022)
3.
Classic assumption test
a.
Normalization Test
Jarque-Bera is the most popular residual
normality test (Ghozali & Ratmono,
2017). The Jarque-Bera test is carried out if the Jarque-Bera
probability is more than 0.05, the null hypothesis H0 is not rejected, or the
residuals are normally distributed. Based on the normality test using the eviews program, it shows that the results of testing the
data for normality have a significant value of 0.220375 > 0.05, meaning that
the data in this study are normally distributed.
b.
Multicollinearity Test
Multicollinearity occurs if the correlation of each independent variable is
more than 0.90; the regression model is not multicollinear (Ghozali & Ratmono,
2017). Based on the
research multicollinearity test that there is no independent variable that has
a correlation above 0.90 so that there is no multicollinearity.
c.
Heteroscedasticity Test
There are no signs of heteroscedasticity or must accept H0 and reject H1 if
the value of Obs*R-squared has a probability value of
chi square > 0.05. (Ghozali & Ratmono,
2017). The probability
value of Obs*R-squared > from the significant
value (α = 0.05) is 0.4178 > 0.05. Therefore, it can be concluded that
this study does not have heteroscedasticity.
d.
Autocorrelation Test
The Durbin Watson (DW) figure shows how the autocorrelation test is
performed. The DW test only evaluates first-order autocorrelation, requires
inclusion of the intercept (constant) in the regression model, and asks for the
exclusion of other independent variables. The test findings show an
autocorrelation because the Durbin-Watson stat value is 0.942551, dL = 1.4581
(DW dL) (0.942551 1.4581), and the dU value = 1.6830
(DW dU) (0.942551 1, 6830 ).
Positive autocorrelation is known to exist. Panel data does not require
autocorrelation test for OLS and GLS techniques (Kuncoro, 2014).
4.
Panel Data Regression Analysis
Based on the selection
of the regression
model previously carried out, the random
effect model is the most appropriate
regression model to be used in this
study.
Table 4 Panel Data Regression Analysis
Random Effect Model
Variable |
Coefficient |
Std. Error |
t-Statistic |
Prob. |
C |
0.859756 |
1.509068 |
-0.569726 |
0.5713 |
KPM |
0.230060 |
0.090761 |
-2.534785 |
0.0143 |
UDK |
0.082119 |
0.508262 |
0.161567 |
0.8723 |
CSR |
0.869344 |
0.601957 |
1.444195 |
0.1547 |
R-squared |
0.151245 |
Mean dependent var |
0.197706 |
|
Adjusted R-squared |
0.102278 |
S.D. dependent var |
0.335824 |
|
S.E. of regression |
0.315872 |
Sum squared resid |
5.188309 |
|
F-statistic |
3.088731 |
Durbin-Watson stat |
0.942551 |
|
Prob(F-statistic) |
0.034993 |
|
|
|
Source
: Secondary Data Processed
(2020)
The regression equation from table
4 with the dependent variable of CSR disclosure is as follows:
Y
= -0.859756 -0.230060KPM + 0.082119 UDK + 0.869344CSR
a. Coefficient of Determination Test
The
dependent variable, Firm Value, which
can be explained
or influenced by the independent
variable, has an Adjusted R-squared value of 0.102278 (10 percent) according to the table
above (managerial ownership, size of the board
of commissioners and corporate social
responsibility disclosure).
While the factors not considered in this study accounted for 90% of the
variance.
b. F
Test
Based
on the results
of the F test, the Fcount
value is 3.088731, the significance level is 0.034993, the number of n is
56, the number of k is 3, and
the significance level is 0.05. These results are translated into values: df
= k-1 = 4 - 1 = 3, and df2 = n - k = 56 - 3 = 53. The
F table value is 2.78 with df1 = 3 and df2 = 53. Simultaneous (simultaneous) managerial ownership, board of commissioners size, and CSR disclosure
on firm value
can be seen
from the data above which shows
that Fcount 3.088731 > Ftable 2.78 or significant value 0.034993 <
0.05.
c. T test
Based�on the results of
the t test or partial test
above, it is obtained:
�
Company Characteristics Variable as
proxy for Managerial Ownership has a tcount of
-2.534785 which is smaller than ttable (-2.534785
< 1.67469), and a significance value of 0.0143 < 0.05, so Ho is rejected
and H1 is approved. As a result, Firm Value is negatively affected by Company
Characteristics as proxied by Managerial Ownership.
�
The Board of Commissioners Size
Variable is used as a proxy for the Company Characteristics Variable, and
because the tcount value of 0.161567 is smaller than
the ttable value (0.161567 < 1.67469) and the
significance value is 0.8723 > 0.05 then H0 is accepted and H1 is rejected.
Therefore, the Company's Characteristics as proxied by the Size of the Board of
Commissioners have no influence on Firm value.
�
The Corporate Social Responsibility
Disclosure variable has a tcount of 1.444195 smaller
than ttable (1.444195 < 1.67469), and a
significance value of 0.1547 > 0.05, so H0 is accepted and H1 is rejected.
Therefore, Corporate Social Responsibility Disclosure has no influence on Firm
value.
Discussion
Influence of Company Characteristics as proxy for Managerial Ownership on
Firm value
According to research by Khoiriyah & Wirawan (Khoiriyah & Wirawan,
2021), managerial
ownership has a positive effect on firm value, in accordance with agency
theory, which states that the more managerial ownership, the higher the firm
value. In accordance with the hypothesis test that has been carried out above,
the managerial ownership variable negatively affects firm value. The findings
of this study confirm previous research that Amaliyah
and Herwiyanti (Amaliyah & Herwiyanti,
2019)�found management ownership to have a negative
influence on firm value. Since a higher percentage of managerial ownership will
decrease the value of the firm, it has a negative influence on the company.
These results show how badly managerial ownership controls the management of
the company, resulting in a decrease in corporate control and an increase in
opportunistic behavior on the part of management.
The influence of company characteristics as proxied by the size of the
board of commissioners on Firm Value
According to the hypothesis test that has been done, the size of the
Board of Commissioners does not have a significant influence on firm value.
This study implies that the function of the independent board of commissioners
is less influenceive in companies in the mining
sector, so it can be assumed that the board of commissioners cannot increase
the value of the company. There is no relationship between the number of
independent commissioners and the company's valuation. This may be due to the
existence of independent commissioners only as a formality to comply with the
Financial Services Authority (OJK) law, which prohibits them from carrying out
their supervisory responsibilities influenceively.
The findings of this study are in line with the research of Amaliyah
and Herwiyanti (Amaliyah & Herwiyanti, 2019)
which did not find a significant positive influence on firm value from the
independent board of commissioners.
The Influence of
Corporate Social Responsibility Disclosure on Firm value
Corporate social responsibility (CSR) is a company's responsibility to mitigate the negative
influences of its operational activities, which also includes economic,
social and environmental responsibilities.
The variable of Corporate Social Responsibility Disclosure is known to
have a negative and insignificant influence on firm
value based on the findings
of the hypothesis
test study. The findings of this study are in line with the
research of Stacia and Juniarti (Stacia & Juniarti, 2016)
who found that Corporate Social Responsibility Dislcosure to Firm
Value.
The Influence of
Company Characteristics as proxied by Managerial Ownership, Company
Characteristics as proxied by Board of Commissioners Size, and Corporate Social
Responsibility Dislcosure on Firm value
According
to research Arlita et al. (Arlita, Bone, & Kesuma, 2019)
managerial ownership has an influence on
firm value, and the Board
of Commissioners is responsible for encouraging the application of strong corporate
governance principles; the implementation of the program helps corporate social responsibility increase sales so that the
company can provide high returns
to investors. The findings of Arlita et al. were validated
by this study. Firm value is
significantly influenced by the influence
of firm characteristics
as proxied by managerial ownership, firm characteristics as proxied by the
size of the
board of commissioners, and disclosure of corporate
social responsibility. The significance value for this finding
is 0.034993, which when compared to
0.05 indicates that the significance of F is less
than alpha (0.034993 <
0.05).
Conclusions
The conclusions that can be
drawn from this research are as follows: 1). Company characteristics as proxied
by Managerial Ownership have a negative influence on firm value. Therefore, the
disclosure of managerial ownership components in the annual report can provide
added value for the company but can have a negative influence because along
with the increase in the value of the company, the value of shareholders'
wealth also increases. 2). Company characteristics as proxied by the size of
the Board of Commissioners have no influence on firm value. This finding
indicates that the function of the independent board of commissioners is less influenceive in mining sector companies, so it can be
concluded that the board of commissioners cannot increase the value of the
company. 3). Corporate Social Responsibility Disclosure has no value for the
company. This happens because not all community service initiatives can
increase the value of the company. 4). Variables of Company Characteristics as
proxied by managerial ownership, Company Characteristics as proxied by the size
of the board of commissioners, and corporate social responsibility disclosure
simultaneously affect the firm value of the Sri Kehati
BEI company for 2016 to 2020.
Due to the low coefficient of
determination (R square) in this study, further research is needed to better
understand the variables that affect firm value. And it is hoped for further
researchers to extend the time to more than 5 (five) years. The more companies
that meet the research criteria are included in the sampling, the more
representative the research results will be.
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Copyright holder: Amanda
Tiara Salsha Putri, Suripto
(2022) |
First publication right: Syntax Literate: Jurnal Ilmiah Indonesia |
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