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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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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