Factors Influencing Corporate Environmental Disclosures
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
Abstract We investigate the effectiveness of the Carbon Disclosure Project ( CDP ), a not‐for‐profit organization that facilitates environmental disclosures of firms with institutional investors, thereby serving as a corporate governance mechanism for shareholders to influence the firm's environmental disclosures. We examine firm characteristics associated with firms' decisions to disclose carbon‐related information via the CDP for a sample of 319 Canadian firms over a four‐year period. In particular, we examine how firms' decisions to disclose via CDP are associated with shareholder activism, litigation risk, and the opportunity for low‐cost positive publicity once requested by the firms' “signatory” investors. Our results also show that management's decision to release climate change data is associated with domestic, but not foreign, signatory investors. We also find that disclosing firms tend to be those from lower polluting industries with less exposure to litigation risk. This suggests that this new form of coordinated shareholder activism may not be successful at altering the behavior of firms that are heavier polluters.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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