Accounting Research Festival 2025 P-ISSN: x-x.
E-ISSN: x-x Website: https://publikasiilmiah.
id/fra4 Redefining Accounting Education: Balancing Technological Innovation with Ethics and Sustainability THE INFLUENCE OF FINANCIAL PERFORMANCE AND CORPORATE
GOVERNANCE ON DISCLOSURE OF GREEN BANKING PRACTICES
Vivi Yunita Sari1.
Laila Syifa Sari Ardiansyah2.
Agus Triyani3 1 Accounting Faculty of Economics and Business.
Wahid Hasyim University.
Semarang.
Indonesia.
Email: 22101021020@student.
2 Accounting Faculty of Economics and Business.
Wahid Hasyim University.
Semarang.
Indonesia.
Email: 22101021003@student.
3 Accounting Faculty of Economics and Business.
Wahid Hasyim University.
Semarang.
Indonesia.
Email:agustriyani@unwahas.
ABSTRACT
This study aims to examine and analyze the influence of financial performance and corporate governance on the disclosure of green banking practices in conventional banking subsector companies listed on the Indonesia Stock Exchange for the 2021-2023 period.
This study is quantitative.
The influence of performance is proxied using the variables (ROA) and (CAR) presented by the company in the Annual Report and Financial Statements.
Corporate Governance is proxied by (Board of Commissioners Siz.
and (Board of Directors Gender Diversit.
Disclosure of Green Banking Practices is measured using a dummy variable obtained from the GBDI and the company's sustainability report.
The sampling technique used purposive sampling with a total of 25 companies included in the Banking Subsector, for the observation period 2021-2023.
The analysis technique was carried out using panel data regression.
The results of this study indicate that the variables ROA.
CAR, and Directors Gender Diversity do not significantly influence the disclosure of green banking practices, while the Size of the Board of Commissioners has a significant effect on the Disclosure of Green Banking Practices.
The company with the lowest GBD is Bank Krom Indonesia at 9.
6%, and the highest GBD is Bank Pembangunan Daerah Jawa Timur at 18.
Keywords: Financial Performance.
Good Corporate Governance.
Disclosure of Green Banking Practices INTRODUCTION Environmental issues have long been a concern for all countries.
The threat of an environmental crisis that threatens natural resources for sustainability in the future requires efforts to prevent similar problems from recurring in the coming years.
Government policies that address other parties directly responsible for environmental pollution are also needed.
According to a World Economic Forum survey, economic and environmental issues are the main risks in the short and long term, but ensuring the environment is well maintained is everyone's responsibility.
This is especially true for industrial sectors considered major contributors to environmental pollution, such as mining, automotive, hospitals, banking institutions, and other processing industries.
Although regulations governing green banking practices already exist, a Katada .
report entitled "Survey of Public Perceptions of Sustainable Financial Products," involving 3,105 respondents across Indonesia, showed that only four banks were widely perceived to have implemented green banking principles.
Furthermore, research by Handajani .
showed an increase in the green banking disclosure index during the 2015-2017 period.
However, the average disclosure index over the three observation periods was 0.
377, or 37% of the expected green banking disclosure index.
These results indicate that disclosure of green banking practices by banks in Indonesia is not yet optimal.
Environmental damage and degradation by companies suspected of obtaining financing from banks also persists, despite regulations governing green banking practices.
Proceeding Accounting Research Festival | 4 13 Banks play an important role in helping achieve the Sustainable Development Goals (SDG.
as financial service providers, and it is hoped that they can reduce environmental degradation (Nwagwu.
The Minister of Finance of the Republic of Indonesia.
Sri Mulyani Indrawati, said that funding sources from banks are important in realizing a green economy (Dewi Fadhilah, 2.
A green economy is needed as a step to change the economic system to prioritize environmental protection and achieve sustainable development (IESR, 2.
On the other hand, the role of banks as agents of development actually contributes to environmental degradation, both directly and indirectly through their business The carbon footprint and use of resources from bank operations, such as electricity and paper, are direct impacts that result (Bukhari et al.
, 2.
The buildings used by banks also contribute to greenhouse gas emissions (Nurmalia et al.
, 2.
Banks can indirectly contribute to environmental damage by providing loan facilities to industries that contribute harmful carbon emissions into the atmosphere, such as the cement, chemical, garment, and paper industries (Miah et al.
, 2.
Therefore, banks also fund activities that have an impact on the environment.
The banking sector is beginning to attract attention because its profits and funds can actually make significant social and environmental contributions.
Currently, the banking sector is increasingly involved in environmental protection and management initiatives to reduce carbon emissions and maintain environmental sustainability by introducing practices called green banking (Burhany et al.
, 2.
Although not directly involved, the banking sector plays a role in environmental aspects.
The use of energy .
lectricity and wate.
and paper .
hich comes from tree.
is quite high in this sector.
Likewise, the concern shown in the form of charitable giving to the community proves that this sector plays a significant role in CSR (Corporate Social and Environmental Responsibilit.
A bank's reputation and legitimacy are assessed based on its social responsibility to the community through its social programs.
Environmental issues can pose both risks and opportunities, both internally and externally.
The implementation of green banking is a step banks take to meet public expectations regarding these environmental issues.
According to Bank Indonesia, green banking is defined as banking that applies the principles of sustainable development, in accordance with the World Bank's definition of green banking, where "green" refers to nature, human well-being, the economy, and society.
The role of corporate governance is crucial in the financial sector, as banks face the risk of returns to shareholders, while simultaneously addressing social and environmental risks stemming from sustainable business pressures to create long-term value.
Corporate governance can align the interests of company owners and management.
Corporate governance is considered capable of making decisions that are not detrimental to either party, allowing for objective decision-making.
THEORETICAL BASIS
Signaling Theory Signaling theory explains how companies signal to various parties who need the information (Mumtazah & Purwanto, 2.
Providing information is expected to convince external parties regarding the company's reported earnings.
This can lead external parties to believe that the reported earnings are true, reflecting the company's performance, and not the result of manipulation to increase profits to send a positive signal to external parties.
Positive signals provided by the company will influence shareholder decisions, which in turn will lead to an increase in share ownership.
Therefore, this theory relates to the influence of financial performance, as proxied by ROA and CAR, on green banking disclosure practices.
This is because the influence of performance at the profitability stage influences green banking disclosure Stakeholder Theory Stakeholder theory explains that companies, in their business activities, must consider the interests and provide benefits to stakeholders, rather than solely focusing on fulfilling their own interests (Sihombing & Yuliandhari, 2.
Stakeholders are all parties affected by business actions and activities:
customers, suppliers, competitors.
NGOs, employees, the media, scientists, legislators, residents of the area where the company operates, labor unions, and government organizations.
Therefore, this theory Proceeding Accounting Research Festival | 458 relates to the influence of good governance, which is proxied by the size of the board of commissioners and the gender diversity of the board of directors.
Legitimacy Theory Legitimacy theory is the idea of a "social contract" between a company and the community in which it operates.
Legitimacy theory is widely used to explain the background to companies' voluntary disclosure of social and environmental information.
Based on legitimacy theory, companies will strive to conduct their operations in accordance with the expectations and norms prevailing in the community in which they operate.
Legitimacy theory implicitly states that companies must be responsible for reporting corporate social responsibility (CSR), which encompasses economic, social, and environmental aspects, in order to survive (Hastuti & Kusumadewi, 2.
This theory relates to green banking disclosures, which demonstrate how companies are responsible for their natural environment.
Green Banking "Green" in green banking essentially indicates a bank's environmental accountability and environmental performance in business operations.
Green banking, like banks in general, operates with a focus on specific areas and techniques for reducing internal carbon emissions and external carbon emissions (Petro et al.
, 2.
Green banking is believed to halt environmental degradation and make the environment more Green banking must use resources responsibly, avoid waste, and prioritize the environment and Banks can reduce their carbon footprint by adopting measures such as reducing paper use, adopting energy-conscious public transportation practices, using environmentally friendly buildings, using online systems, utilizing solar and wind energy, and providing financing for environmentally friendly projects or businesses (Petro et al.
, 2.
Disclosure of green banking practices is motivated by pressure from stakeholders for banks to be responsible for their operational activities.
Banks disclose green banking practices, among other things, in their annual reports (Simanungkalit & Mayangsari, 2.
The annual report contains information on the company's performance, both financial and non-financial, which is disclosed clearly and accurately, and explains the actual conditions of the company's operations.
The approach used consists of four domains: green product, green operation, green customer, and green policy.
Green Product: relates to how the bank creates banking products or services that support energy efficiency and minimize material use.
Green Operation: relates to how the bank supports environmental sustainability in its operational activities, such as going paperless, thus transforming the bank from a traditional bank into an environmentally conscious bank.
Green Customer: relates to how the bank educates customers about the use of digital technology to meet their needs, thereby engaging them in environmental stewardship.
Green Policy: relates to how the bank formulates and implements policies that support its commitment to environmental sustainability within the bank, thereby encouraging employees to minimize negative impacts.
Measurements to obtain the green banking disclosure index were conducted using the same formula used in the research by Handajani et al.
This involves a checklist table, where each item successfully disclosed is given a score of 1, and each item not disclosed is given a score of 0.
RESEARCH FRAMEWORK
ROA
CAR
BOARD OF
COMMISSIONERS
DIRECTOR GENDER
DIVERSITY
GREEN BANKING
DISCLOSURE
Proceeding Accounting Research Festival | 4 13 The Influence of ROA on Green Banking Practices Company profitability, as measured by ROA, reflects a company's ability to utilize its assets to generate profits (Sulaeman, 2.
The primary goal of a company is to increase its value.
Corporate value will increase sustainably if the company is able to improve its financial performance.
Research conducted by (Asfahaliza & Anggraeni, 2.
states that the implementation of green banking as an independent variable is projected using the Green Banking Disclosure Index (GBDI) and green banking products, consisting of the number of ATM units and the frequency of mobile banking transactions.
Meanwhile, profitability as a dependent variable is projected using Return on Assets (ROA).
Partially, the number of ATM units has a positive and significant effect on ROA.
However, simultaneous testing found that the implementation of green banking, projected using the GBDI, the number of ATM units, and the frequency of mobile banking transactions, have a positive and significant effect on profitability.
H1: There is a positive and significant relationship between bank profitability and Green Banking The Effect of Capital Adequacy Ratio (CAR) on Green Banking Disclosure Based on research conducted by (Mumtazah & Purwanto, 2.
CAR has a positive but insignificant effect on firm value.
A higher CAR will attract investors to the banking sector, which will influence stock demand and increase share prices, thus increasing firm value.
According to signaling theory, companies will strive to increase CAR in order to disclose information to investors, thereby increasing firm value.
Therefore, it can be concluded that CAR influences firm value in banks and influences green banking H2: CAR has a positive and significant effect on Green Banking disclosure.
Board of Commissioners and Green Banking Disclosure A larger board of commissioners reflects a more diverse range of expertise and experience in banking.
A larger board of commissioners also reflects a greater ability to communicate with more diverse and broader external parties.
A larger board of commissioners is seen as an effective corporate governance Research by Petro et al.
found that a larger board of commissioners contributes to increased green banking disclosure and positively influences green banking disclosure.
A larger board of commissioners prioritizes various activities related to green banking disclosure, thereby ensuring the board of commissioners oversees the allocation of sufficient resources to implement green banking H3: The Board of Commissioners has a positive and significant impact on Green Banking Disclosure The Influence of Director Gender Diversity Gender diversity is related to gender equality, namely providing equal opportunities to occupy top positions within a company and is a key point in achieving the Sustainable Development Goals (SDG.
, which serve as national and international benchmarks.
In implementing the SDGs, the importance of gender equality is related to the fifth point, namely that men and women must receive equal rights and Regarding sustainability issues, women tend to be more sensitive, more generous, and more considerate of stakeholders such as the community, employees, and the environment (Sihombing & Yuliandhari, 2.
H4: Director Gender Diversity has a significant positive effect on Disclosure of Green Banking Practices.
RESEARCH METHOD
This research uses a quantitative method with a quantitative approach.
Secondary data used in this study are the financial and sustainability reports of conventional banking sub-sector companies listed on the Indonesia Stock Exchange (IDX) or their respective official websites for the period 2021-2023.
Based on data from the Indonesia Stock Exchange (IDX) and the official websites of 25 conventional banking subsector companies, the sample was selected.
The sampling technique used was purposive sampling.
Proceeding Accounting Research Festival | 460 Purposive sampling is a sampling technique based on specific considerations (Lutfi M.
, 2.
The criteria for the purposive sampling technique are as follows:
Conventional banks listed on the Indonesia Stock Exchange for the period 2021-2023.
Conventional banks whose annual reports are accessible through both the Indonesia Stock Exchange and the company's official website for the period 2021-2023.
Conventional banks that experienced consecutive profits from 2021-2023.
Based on the criteria that have been made by researchers, companies that meet the above criteria are:
PT.
Bank Central Asia Tbk (BBCA).
PT Bank MNC Internasional Tbk (BABP).
PT.
Bank Jago Tbk (ARTO).
PT.
Allo Bank Indonesia Tbk (BBHI).
PT.
Bank Mestika Dharma Tbk (BBMD).
PT Bank Negara Indonesia Tbk (BBNI).
PT.
Bank Rakyat Indonesia Tbk (BBRI).
PT.
Krom Bank Indonesia Tbk (BBSI).
PT.
Bank Danamon Tbk (BDMN).
PT.
Bank Ganesha Tbk (BGTG).
PT.
Bank Ina Perdana Tbk (BINA).
PT Bank Pembangunan Daerah Jawa Barat Tbk (BJBR).
PT.
Bank Pembangunan Daerah Jawa Timur Tbk (BJTM).
PT.
Maspion Indonesia Tbk (BMAS).
PT.
Bank Mandiri Tbk (BMRI).
PT Bank Bumi Arta Tbk (BNBA).
PT.
Bank Cimb Niaga (BNGA).
PT.
Maybank Indonesia (BNII).
PT.
Bank Sinarmas Tbk (BSIM).
PT.
Bank BTPN Tbk (BTPN).
PT Bank Oke Indonesia Tbk (DNAR).
PT.
Bank Multiarta Sentosa Tbk (MASB).
PT.
Mayapada Internasional Tbk (MAYA).
PT.
Bank Mega Tbk (MEGA).
PT.
Bank OCBC NISP Tbk (NISP).
RESULT AND DISCUSSION
Result This study aims to examine and analyze the influence of financial performance and corporate governance on the disclosure of green banking practices in banking sub-sector companies listed on the Indonesia Stock Exchange for the 2021-2023 period.
Considering that panel data is a combination of time series and cross-section, the equation model can be formulated as follows:
Y it = 0 1 X it it I = 1, 2, .
N .
t = 1, 2, .
Where: N = Total Number of observations.
T = Total number of times.
N x T = Total number of panel data Chow Test Choosing between a Common Effects or Fixed Effects Model Redundant Fixed Effects Tests Equation: Untitled Test cross-section fixed effects Effects Test Statistic Prob.
Cross-section F Cross-section Chi-square Proceeding Accounting Research Festival | 4 13 Table 1.
Chow Test Results Source: Processed secondary data, 2024 Based on the results in Table 1, the chi-square P-value is 0.
000, indicating a probability less than 5% / 0.
Ho is rejected, and the appropriate model used in this study is a fixed-effects model.
Therefore, the next step is to conduct the Hausman test.
This is used to distinguish between fixed effects and random effects.
Hausman Test Choosing between Fixed Effects or Random Effects Correlated Random Effects - Hausman Test Equation: Untitled Test cross-section random effects Test Summary Chi-Sq.
Statistic Chi-Sq.
Prob.
Cross-section random Table 2.
Hausman Test Results Source: Processed secondary data, 2024 Based on the results of Table 2, the Hausman test shows a P value > 0.
05, indicating that the selected model is a random effect.
LM Test Lagrange Multiplier Tests for Random Effects Null hypotheses: No effects Alternative hypotheses: Two-sided (Breusch-Paga.
and one-sided .
ll other.
alternatives Test Hypothesis Breusch-Pagan Cross-section Time Both .
Table 3.
LM Test Results Source: Processed secondary data, 2024 Proceeding Accounting Research Festival | 462 The LM test showed a P-value <0.
05, thus concluding that the Random Effects Model was the model selected for the best results in this study.
Hypothesis Test Dependent Variable: Y? Method: Pooled EGLS (Cross-section random effect.
Date: 06/17/24 Time: 22:13 Sample: 1 3 Included observations: 3 Cross-ections included: 25 Total pool .
observations: 75 Swamy and Arora estimator of component variances Variable Coefficient Std.
Error
X1?
X2?
X3?
X4?
Random Effects (Cros.
ARTO--C
BABP--C
BBCA--C
BBHI--C
BBMD--C
BBNI--C
BBRI--C
BBSI--C
BDMN--C
BGTG--C
BINA--C
BJBR--C
BJTM--C
BMAS--C
BMRI--C
BNBA--C
BNGA--C
BNII--C
BSIM--C
BTPN--C
DNAR--C
MASB--C
MAYA--C
MEGA--C
NISP--C
t-Statistic Prob.
Rho Effects Specification Proceeding Accounting Research Festival | 4 13 Cross-section random Idiosyncratic random Weighted Statistics R-squared Adjusted R-squared of regression F-statistic Prob(F-statisti.
Mean dependent var dependent var Sum squared resid Durbin-Watson stat Table 4.
Hypothesis Test Results Source: Processed secondary data, 2024 Regression Equation GBD = 16.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
DISCUSSION
Testing the first hypothesis (X.
The first independent variable.
ROA, statistically shows a Prob.
value of 0.
5004 with a coefficient value of The Prob.
value is greater than the alpha value of 0.
05, so the first hypothesis, namely that carbon emission disclosure has a positive effect on green banking disclosure, is rejected.
Testing the second hypothesis (X.
The second independent variable.
CAR disclosure, statistically shows a Prob.
value of 0.
1185 with a coefficient value of 0.
The Prob.
value is greater than the alpha value of 0.
05, so the second hypothesis, namely that CAR has a positive effect on green banking disclosure, is rejected.
Testing the third hypothesis (X.
The third independent variable, board size, statistically shows a Prob.
value of 0.
0109 with a coefficient value of 0.
The Prob.
value is less than the alpha value of 0.
05, so the third hypothesis, namely that board size has a positive effect on green banking disclosure, is accepted.
Testing the fourth hypothesis (X.
The fourth independent variable, board gender diversity, statistically shows a Prob.
value of 0.
3886 with a coefficient value of 1.
The Prob.
value is greater than the alpha value of 0.
05, so the third hypothesis, namely that board size has a positive effect on green banking disclosure, is rejected.
Dependent Variable: Y? Method: Pooled EGLS (Cross-section random effect.
Date: 06/17/24 Time: 22:13 Sample: 1 3 Included observations: 3 Proceeding Accounting Research Festival | 464 Cross-sections included: 25 Total pool .
observations: 75 Swamy and Arora estimator of component variances Random Effects (Cros.
ARTO--C
BABP--C
BBCA--C
BBHI--C
BBMD--C
BBNI--C
BBRI--C
BBSI--C
BDMN--C
BGTG--C
BINA--C
BJBR--C
BJTM--C
BMAS--C
BMRI--C
BNBA--C
BNGA--C
BNII--C
BSIM--C
BTPN--C
DNAR--C
MASB--C
MAYA--C
MEGA--C
NISP--C
Table 5.
Constant Results of Each Bank Proceeding Accounting Research Festival | 4 13 The estimated value of each bank will have an influence on Green Banking Practices with the following details: ARTO 1.
48 percent.
BABP -3.
53 percent.
BBCA 1.
93 percent.
BBHI 1.
36 percent.
BBMD 2.
BBNI 0.
12 percent.
BBRI -0.
05 percent.
BBSI -6.
44 percent.
BDMN 1.
44 percent.
BGTG 1.
BINA 1.
BJBR 1.
BJTM 2.
BMAS 0.
BMRI -0.
BNBA 1.
BNGA -0.
BNII -2.
BSIM -1.
BTPN -2.
DNAR -0.
MASB -0.
MAYA 0.
MEGA 0.
NISP 0.
The equations for each company for the Random Effects model are as follows:
Bank Jago Tbk (ARTO) Equation GBD = .
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 17.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
Bank MNC Internasional Tbk (BABP) Equation GBD = (-3.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 12.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
Similarity of Bank Central Asia Tbk (BBCA) GBD = .
04508 ) 0.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 17.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
Bank Allo Bank Indonesia Tbk (BBHI) Similarities GBD = .
04508 ) 0.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 17.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
Similarities of Bank Mestika Dharma Tbk (BBMD) GBD = .
04508 ) 0.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 18.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
Bank Negara Indonesia Tbk (BBNI) Equation GBD = .
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 16.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
Bank Rakyat Indonesia Tbk (BBRI) Equation GBD = (-0.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 15.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
Bank Krom Indonesia Tbk (BBSI) Equation GBD = (-6.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 9.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
Proceeding Accounting Research Festival | 466 Bank Danamon Indonesia Tbk (BDMN) Equation GBD = .
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 17.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
Bank Ganesha Tbk (BGTG) Equation GBD = .
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 17.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
Bank Equation Ina Perdana Tbk (BINA) GBD = .
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 17.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
Equation for West Java Regional Development Bank Tbk (BJBR) GBD = .
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 17.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
Equation for East Java Regional Development Bank Tbk (BJTM 2.
GBD = .
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 18.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
Equation for Bank Maspion Indonesia Tbk (BMAS 0.
GBD = .
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 16.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
Bank Mandiri Tbk (BMRI) Equation GBD = (-0.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 15.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
Bank Bumi Arta Equation Tbk (BNBA) GBD = .
04508 ) 0.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 17.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
Similarities of Bank Cimb Niaga Tbk (BNGA) GBD = (-0.
04508 ) 0.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 15.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
Proceeding Accounting Research Festival | 4 13 Bank Maybank Indonesia Tbk (BNII) Equation GBD = (-2.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 13.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
Bank Sinar Mas Tbk (BSIM) Equation GBD = (-1.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 14.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
BTPN Bank Tbk (BTPN) Equation GBD = (-2.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 13.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
BTPN Bank Tbk (DNAR) Equation GBD = (-0.
04508 ) 0.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 15.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
Bank Multiarta Sentosa Tbk (MASB) Similarities GBD = (-0.
04508 ) 0.
212133 ROA 0.
020184 CAR 0.
448757 UDK 1.
276798 DGDD
= 15.
212133 ROA 0.
020184 CAR 0.
448757 UDK
From the equation above, it is clear that the bank with the lowest GBD is Bank Krom Indonesia, at 9.
the assumed value of the independent variable influencing GBD is zero, then Bank Krom Indonesia's GBD Meanwhile, the bank with the highest GBD is Bank Pembangunan Daerah Jawa Timur, at 18.
This means that if the assumed value of the independent variable influencing GBD is zero, then Bank Pembangunan Daerah Jawa Timur's GBD is 18.
Table 5 shows that Bank Krom Indonesia's lowest GBD, at 9.
6%, is not due to ROA or CAR from 2021 to This is because ROA decreased in 2022, while its CAR increased in 2022, from 20.
21 to 28.
However, it experienced a drastic decline in 2023 to 15.
8, while ROA increased in 2023.
Bank Pembangunan Jawa Timur has the highest GBD, at 18.
8%, among other banks.
This means that high GBD does not affect ROA because every year the ROA of the East Java Development Bank decreases from 05 in 2021, down to 1.
96 in 2022, and in 2023 only to 1.
CONCLUSION
Based on the results of data analysis using a random effects model, it shows that ROA has a partial positive effect on Green Banking Disclosure of 0.
CAR and Board of Directors Gender Diversity have a partial effect on Green Banking Disclosure, with a probability of 0.
1185 for CAR and 0.
3886 for Board of Directors Gender Diversity.
Meanwhile.
Board of Commissioners Size has a positive effect on Green Banking Disclosure of 0.
The independent variables (ROA.
CAR.
UDK, and DGDD) show a significant effect with a probability value of 0.
026507, less than 5% , indicating that all independent variables (ROA.
Proceeding Accounting Research Festival | 468 CAR.
UDK, and DGDD) simultaneously influence Green Banking Disclosure.
The intercept results for each company show different results.
REFERENCES