Moderating Effects of Media Coverage and Corporate Governance on CSR-CFP Nexus-Evidence from Listed Companies on Taiwan Stock Exchange
Bibliographic record
Abstract
Media coverage helps firm’s benevolent action under the sunlight (well-known by the public). Effective CEO incentive compensation and sound corporate governance align the interest of management with the firm by forming correct and efficient decision on positive-feedback social activities. This paper examines whether media coverage, compensation and corporate governance act as positive moderators for the relationship between corporate social responsibility (CSR) and corporate financial performance (CFP), namely, CSR-CFP nexus. Based on data of TWSE-listed companies during 2005-2009, regression result generally shows that higher CEO compensation strengthen positive relationship between firm’s CSR engagement and financial performance. Weaker corporate governance deteriorates positive CSR-CFP relationship. Media coverage has little influence on the relationship between CSR and CFP. Robustness checks such as fixed/random effect estimation, two-stage estimation and propensity score matching to control for selection bias yield similar outcome.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".