Liquidity on Banks Performance with Corporate Governance as a
Moderating Variable (Indonesia Pandemic Covid-19 Evidence)
TIPRI ROSE KARTIKA
Publishing Department, State Polytechnic of Creative Media,
INDONESIA
Abstract: - The Covid-19 pandemic requires prudence, especially in the ratio of credit or liquidity in the
banking sector and the role and supervision through the implementation of good corporate governance is
required intensively to go through dynamic policy changes. This study aims to examine the effect of liquidity
on bank performance and examine the effect of liquidity on bank performance after being moderated by good
corporate governance. The research methodology uses multiple linear regression techniques using SPSS 25
software, with the research sample being the conventional banking sector listed on the Indonesia Stock
Exchange in 2019-2021 totaling 111 research samples. The results showed that liquidity had no effect on bank
performance with the significant value 0.491>0.05. Corporate governance moderated the negative effect of
liquidity on bank performance with the significant value 0.028< 0,05 and coefficient -0.786.
Key-Words: pandemic; liquidity, performance, good corporate governance
Received: July 25, 2022. Revised: February 4, 2023. Accepted: February 25, 2023. Published: March 16, 2023.
1 Introduction
The Covid-19 pandemic that hit Indonesia in March
2020 had an impact on the economy, especially in
the banking sector. One of the indicators that the
Bank and the Financial Services Authority (OJK)
pay attention to is the ratio of non-performing loans
(NPL), OJK data noted that as of August 2020 the
NPL industry had increased year on year (yoy) to
3.2%, [1]. This phenomenon is also a concern not
only for private banks but also for government
banks, Bank DKI is very concerned about credit risk
which is a challenge for banks considering that until
now they are still covered by the Covid-19
Pandemic, [2]
These credit quality indicators can be measured
using the non-performing loan (NPL) ratio
approach. NPL can be used as an early indicator of
financial distress, the value is expected to always be
at a low value, while the higher the value indicates
special attention or going concern of a bank. A
further impact is that it can eliminate potential
revenue because of the opportunity cost of some lost
investments and slowly a liquidity crisis begins and
ends in bankruptcy, [3].
Based on the NPL indicator as a reflection of credit
quality, this can affect the achievement of banking
performance, several previous studies measured
banking performance using the profitability ratio as
measured by return on assets (ROA), [4], [5]. ROA
is a measurement used by analysts to measure the
company's profitability by using a comparison of net
income to total assets, [6]. Good performance in
addition to being built in an adequate financial
system also requires a supervisory mechanism or in
this case good corporate governance, [7], [8]. Good
corporate governance is considered necessary
because it can help to build an environment of trust,
transparency and accountability necessary for
fostering financial stability and business integrity,
[9]. Good corporate governance is a set of
supervisory mechanisms that will provide
suggestions and supervision to the board of directors
(BOD) related to strategic decisions and operational
decisions that are considered to require input from
the Board of Commissioners. During this pandemic
period, intense communication needs to be built
between BOD's operational and strategic decisions
while still considering input from the BOC. This
good communication during the pandemic also
needs to be increased in frequency due to the impact
of changes in Government policies and the
unpredictable movement of the impact of Covid-19.
Based on the background of the urgency, this study
will examine the effect of liquidity on banking
performance with the moderating variable of Good
Corporate Governance implementation. Good GCG
will have a good impact on liquidity policy on
banking performance and vice versa if the
implementation of GCG is weak enough it will
weaken the influence of liquidity on company
performance.
Several previous studies as the formation of
hypotheses as follows. The better liquidity indicates
the management of cash inflows and outflows that
are more optimal, so that they can finance banking
operations and the circulation of money to be
reinvested in a timely manner to obtain maximum
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DOI: 10.37394/23207.2023.20.61
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E-ISSN: 2224-2899
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returns so as to increase company revenue or overall
company performance, [10], [11], [12], [13]. Based
on previous research, the first hypothesis (H1) in
this study is that liquidity has a positive effect on
banking performance.
Good Corporate Governance based on previous
research has an effect on banking performance, a
good BOC role and supervision mechanism will
strengthen the influence of liquidity policy so that it
is expected to be able to further improve the quality
of decision results and improve company
performance, [14], [15], [16], [17]. Based on
previous research, the second hypothesis (H2) in
this study is that Good Corporate Governance
moderates the positive effect of liquidity on
company performance.
2 Research Method
The methodology in this study uses quantitative data
in the form of financial reports and annual reports of
banking companies listed on the Indonesia Stock
Exchange in 2019, 2020 and 2021. Quantitative data
is obtained by downloading via [18]. The population
in this study is the entire conventional banking
sector registered on the Indonesia stock exchange as
many as 123 firm years or 41 companies and each
company consists of 3 years, 2019, 2020 and 2021.
After the data is obtained, the next process is to
process raw data which will be processed using
SPSS 25 software. Operationalization of research
variables is as follows:
2.1. Bank Performance
Banking performance in this study will use the
measurement of Return on Assets (ROA) with the
following formula [6] :
 
 (1)
2.2. Liquidity
Banking liquidity in this study will use the
measurement of Non-Performing Loans (NPL) with
the following formula [3] :
 
 (2)
2.3. Good Corporate Governance
Good corporate governance is a system designed to
direct the management of the company in a
professional manner based on the principles of
transparency, accountability, responsibility,
independence, fairness and equality. This variable is
measured by using content analysis of 23 indicators
of corporate governance disclosure contained in the
National Committee on Governance Policy in 2006.
If there are indicators that are disclosed, a value of 1
will be given and a value of 0 for the others. The
calculation of the score is done by calculating the
ratio as follows: :

 (3)
Furthermore, after the raw data is inputted using the
operationalization of variables, it will continue with
data processing, specifically multiple linear
regression with the cross section method is used in
this study. The research model is as follows:
    
  (4)
3 Result and Discussion
3.1. Result
The results in this study will begin by discussing the
results of descriptive statistics that are useful for
knowing the distribution of sample data that is the
object of this study. Some of the information that
will be conveyed is the minimum, maximum,
standard deviation and average values. The sample
in this study amounted to 111 firm years or there
was a sample reduction of 12 firm years from a total
of 123 this is because there are outlier data
Table 1. Descriptive Statistics
Observation
Min
Std.Dev
GCG
111
87.00
2.596
NPL
111
0.05
2.161
ROA
111
-15.89
2.441
Source: SPSS
The results of descriptive statistics show that the
implementation of good corporate governance is at a
maximum value of 100%, which means that the
total disclosure of corporate governance consists of
23 indicators and a minimum value of 87% with an
average of 98.90%, which means that the disclosure
of the implementation of corporate governance is on
average. the sample of this study is quite high by
looking at the closeness of the maximum and
average values.
NPL as a proxy for liquidity shows a maximum
value of 15.75%, a minimum value of 0.05% with
an average NPL of 3.43%, this shows that the NPL
of the companies that are the sample of this study
WSEAS TRANSACTIONS on BUSINESS and ECONOMICS
DOI: 10.37394/23207.2023.20.61
Tipri Rose Kartika
E-ISSN: 2224-2899
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Volume 20, 2023
tend to be small with reference to the proximity of
the minimum and average values.
ROA as a proxy for banking performance shows a
performance with a maximum value of 4.19% and a
minimum of -15.89%, with an average of 0.89%. By
looking at the proximity of the minimum and
average values, it can be concluded that the banking
performance of the sample companies tends to be
small.
Table 2. Hyphothesis Testing
Variable
Coefficients
Sig
*(<0.05)
(Constant)
3.767
0.290
LNGCG
-0.493
0.491
LNNPL
0.053
0.860
LNNPL*GCG
-0.786
0.028*
ANNOVA
0.001
Adjusted R
Square
0.113
Source: SPSS
Classical assumption test that consists of normality
test, multicollinearity, heteroscedasticity and
autocorrelation showing that there’s no issues
regarding classical assumption test. The F-test result
is a form of model fit test, the model is said to be
good or accepted if the significance value is less
than (<0.05), meaning that the independent variables
consisting of NPL and GCG have a simultaneous
effect on banking performance. The results of
hypothesis testing indicate that H1 which is
suspected of having a positive effect on banking
performance is not proven, this is indicated by a
significance value of 0.860 > 0.05 so that H1 is
Rejected. The results of the second hypothesis test
which are suspected that the GCG variable
strengthens the influence of liquidity on banking
performance are accepted with a significance value
of 0.028 <0.05 so that H2 is accepted as having a
negative effect.
3.2. Discussion
The first hypothesis which suspects that liquidity
has a positive effect on banking performance is not
proven, this result is not consistent with previous
research [10], [11]. The analysis of this insignificant
result is possible because the characteristics of the
NPL are relatively small if we look at the minimum
value at 0.05% with the average NPL being at 3.4%
which is so far from the maximum value at 15.75%
that it does not have a statistical impact on banking
performance. . Liquidity, which is proxied by a
relatively small NPL, reflects good quality, because
banks get a relaxation policy from the financial
services authority so that the Bank can implement a
relaxation policy for its customers. Non-significant
results are also possible because there is negative
banking growth, further research can issue growth
as a sample reduction criterion so that the data
deviation has a smaller range.
The second hypothesis that predicts the role of good
corporate governance will strengthen the influence
of liquidity on bank performance is proven to be
significant, but it actually indicates a negative
direction or means that the role of good corporate
governance actually weakens the influence of
liquidity on bank performance. The results that are
reversed with this hypothesis are an interesting
finding because according to previous research, it is
hoped that the presence of supervision in the
governance mechanism will strengthen liquidity
policy so that bank performance will be even better.
These results are not consistent with previous
research [14], [15], [16]. Analysis of the negative
direction of this coefficient can be made possible
because the role of good corporate governance can
not give effect because the proxy measurement
variables using dummy 1 and 0, this measurement
may not measure the depth of an application of
corporate governance. Another method that is
considered more powerful in the content analysis
approach can use the sentences count or word count
method so that the variability of disclosure between
companies can be seen compared to only 1 if it
discloses and 0 otherwise.
4 Conclusion
This study provides added value because it
coincides with the Covid-19 pandemic, and banks
with products in the form of lending require caution
so as not to have the potential to become systemic
failures. This study also uses moderating variables
as variables that can strengthen the influence of
liquidity policy on bank performance which is still
very rarely done. The results of the research show
that liquidity policy has no effect on banking
performance, but when moderated by the presence
of good corporate governance, the results show
significant. This result at the same time emphasizes
the supervisory role of the board of commissioners
as a good corporate governance mechanism that is
very necessary, especially in this dynamic pandemic
period, policies and regulations can quickly change.
Intensive communication and timely decision
making are the keys to successful collaboration
between the board of directors from the operational
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side and the board of commissioners from the
strategic side.
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DOI: 10.37394/23207.2023.20.61
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E-ISSN: 2224-2899
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Contribution of Individual Authors to the
Creation of a Scientific Article (Ghostwriting
Policy)
The author contributed in the present research, at all
stages from the formulation of the problem to the
final findings and solution.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
No funding was received for conducting this study.
Conflict of Interest
The author has no conflict of interest to declare that
is relevant to the content of this article.
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