The Nexus between Corporate Social Responsibility Disclosure and Financial Performance: Evidence from the Listed Banks, Finance and Insurance Companies in Sri Lanka
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The nexus between Corporate Social Responsibility Disclosure (CSRD) and financial performance is an ongoing debate and a puzzle encountered by business organizations. This study is an attempt to address the question of whether CSRD is linked to financial performance of companies quoted on the Banks, Finance and Insurance sector in Sri Lanka. The sample includes only the companies that devote a separate section to disclose Corporate Social Responsibility (CSR) activities in their annual reports as failure to disclose CSR in the annual reports will have a material effect on findings. Corporate Financial Performance (CFP) is measured through the use of Return on Assets (ROA) and Return on Equity (ROE) controlled for size and leverage. Content analysis was utilized to develop the Corporate Social Responsibility Disclosure Index (CSRDI). Two multiple regression models were analyzed using Stata. Findings of the study revealed that there is a significant association between Corporate Social Responsibility Disclosure and future financial performance of the selected listed banks, finance and insurance companies in Sri Lanka.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it