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Sustainability and WEB-BASED Corporate Social Responsibility Disclosure: Could Machine Learning Models Explain the Impact on Bank’s Cash Holding

(An Empirical Analysis on Top World Islamic and Non-Islamic Banks)

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International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023) (AI2SD 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 931))

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Abstract

The current study aims to explore the impact of the quality and quantity of web-based Corporate Social Reporting Disclosure (CSRD) on corporate cash holdings in the context of top global Islamic and non-Islamic banks. To do So we use regression analysis through the Pearson Rank correlation and apply three machine learning models (ML regression, KNN (1,5), and SVM).

Our Sample has taken into consideration Sustainability and Corporate Social reporting disclosure parameters of 100 conventional banks and 92 Islamic banks.

We found empirical evidence that the quantity and quality Web based CSRD had no significant impact on the Cash holdings of both type of banks. This implies that there are other factors other than the CSRD factors that dictate the level of the cash holdings that banks would preserve.

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Correspondence to Adil EL Fakir .

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Appendix

Appendix

Variable

Symbol

Measurement

Web-based CSRD Quantity

CSRD_QUAN

Quantity disclosure Index

0 = absence

1 = Existing

Web-based CSRD Quality

CSRD_QUAL

Quality disclosure Index

1 = Not disclosed, no discussion of these issues

2 = Insufficient disclosure of these issues (minimal coverage, little detail, or briefly mentioned)

3 = A moderate disclosure of the bank’s performance in such areas

4 = A very good disclosure of the bank’s performance in such areas

5 = Extremely comprehensive and detailed disclosure of the bank’s performance in such areas (more than above)

Control variables

Bank Size

B_SIZE

Total assets in million Dollars

Profitability (Accounting profits measures)

ROA

Return on assets ROA (%)

Profitability (Accounting profits measures)

ROE

ROE (%)

Audit firm Size

A_SIZE

Dummy variable 1 if the auditor is one of the Big 4 auditing firms and 0 otherwise

GDP Value

V_GDP

GDP Most Recent Value (USD Millions)

Inflation Rate

INFL

Inflation Rate % Reference 2023 (%)

GDP Growth

GDP_GROW

GDP Annual Growth Rate (%)

Interest Rate %

I_RATE

Interest Rate (%)

Corporate Cash Holdings

CASH_H

The ratio of cash and cash equivalent over total assets

Islamic Bank

ISLAMIC

Dummy variable 1 if the Bank in Non-Islamic and 0 otherwise

Moderate variables

ISO (14001–26000)

ISO

Dummy variable 1 if the Bank have ISO 14001 or ISO 26000 certificate and 0 otherwise

Web-based CSRD Quantity

CSRD_QUAN

Quantity disclosure Index

0 = absence

1 = Existing

Web-based CSRD Quality

CSRD_QUAL

Quality disclosure Index

1 = Not disclosed, no discussion of these issues

2 = Insufficient disclosure of these issues (minimal coverage, little detail, or briefly mentioned)

3 = A moderate disclosure of the bank’s performance in such areas

4 = A very good disclosure of the bank’s performance in such areas

5 = Extremely comprehensive and detailed disclosure of the bank’s performance in such areas (more than above)

Control variables

Bank Size

B_SIZE

Total assets in million Dollars

Profitability (Accounting profits measures)

ROA

Return on assets ROA (%)

Profitability (Accounting profits measures)

ROE

ROE (%)

Audit firm Size

A_SIZE

Dummy variable 1 if the auditor is one of the Big 4 auditing firms and 0 otherwise

GDP Value

V_GDP

GDP Most Recent Value (USD Millions)

Inflation Rate

INFL

Inflation Rate % Reference 2023 (%)

GDP Growth

GDP_GROW

GDP Annual Growth Rate (%)

Interest Rate %

I_RATE

Interest Rate (%)

Corporate Cash Holdings

CASH_H

The ratio of cash and cash equivalent over total assets

Islamic Bank

ISLAMIC

Dummy variable 1 if the Bank in Non-Islamic and 0 otherwise

Moderate variables

ISO (26000)

ISO 26000

Dummy variable 1 if the Bank have ISO 26000 certificate and 0 otherwise

ISO (14001)

ISO 14001

Dummy variable 1 if the Bank have ISO 14001 certificate and 0 otherwise

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Kotb, E., EL Fakir, A., Russo, A. (2024). Sustainability and WEB-BASED Corporate Social Responsibility Disclosure: Could Machine Learning Models Explain the Impact on Bank’s Cash Holding. In: Ezziyyani, M., Kacprzyk, J., Balas, V.E. (eds) International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023). AI2SD 2023. Lecture Notes in Networks and Systems, vol 931. Springer, Cham. https://doi.org/10.1007/978-3-031-54288-6_6

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