The Impact of Social Responsibility on Corporate Performance: Evidence from Taiwan
Bibliographic record
Abstract
Prior studies show a mixed relation between corporate social responsibility (CSR) and corporate financial performance (CFP). This paper attempts to address the issue by using listing companies from Taiwan during 2007-2010. Contrary to prior studies that use qualitative approaches to construct a CSR index, in order to examine the relation between CSR and CFP this study directly adopts the CSR score with a scale from zero to 100 points from the CSRHub database of companies’ social, environmental, and governance performance. We find that (1) there is a positive and significant interaction between CSR and CFP, (2) high score CSR firms tend to outperform low score CSR firms and (3) the governance dimension of CSR has a more significant and positive association with stock price returns than other dimensions (community, employees, and environment) of CSR. Our results, therefore, provide additional information regarding the relation between CSR and CFP within the context of emerging markets.
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How this classification was reachedexpand
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 | 0.011 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".