Spillover Effects of Voluntary Environmental Programs on Greenhouse Gas Emissions: Lessons from Mexico
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 compare the environmental performance of voluntary environmental programs (VEPs) with different attributes. Using club theory, we argue that the differential performance of VEPs is due in part to their specific design attributes that will either enhance or diminish their ability to improve both targeted and untargeted environmental impacts. We analyze two VEPs in Mexico, the global standard ISO 14001 and the local standard Clean Industry. These two VEPs differ in the stringency of the standards and in their ability to sanction noncompliant facilities. These differences ensure that firms adopting the local standard are less likely to shirk their responsibilities and enhance potential spillover effects on untargeted environmental emissions. Our empirical results support our hypotheses and show that the local Clean Industry program is more effective in improving both targeted (toxic emissions) and untargeted environmental impacts (greenhouse gas emissions).
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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