Environmental Performance, Environmental Risk and Risk Management
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 Environmental performance, environmental risk and risk management are of contemporary interest, but to date there is limited evidence on their relationships. This paper is the first to provide detailed insights by adopting a content analysis approach and disaggregating firm‐level environmental risk into types related to regulations, operations and nature. For a sample of US firms in polluting sectors, descriptive findings show that the level of risk and the likelihood of active risk management differ in the type considered. Environmental performance, risk and the likelihood of risk management all differ across firms and industries. Multiple regressions reveal a negative association between environmental performance and environmental risk, the extent of which depends on the type of risk. Results hold when controlling for active risk management, which is not found to contribute significantly to environmental performance. Our findings have implications for public policy and suggest that linkages to environmental risk and risk management are worth exploring in more differential ways and beyond industry‐level assessments in environmental studies. Copyright © 2012 John Wiley & Sons, Ltd and ERP Environment.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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