Productivity Dispersion across Plants, Emission Abatement, and Environmental Policy
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
Empirical studies suggest systematic relationships between plant’s productivity and plant’s emissions and emission-abatement costs. This paper demonstrates that productivity dispersion across plants is an important factor that influences the transmission of environmental policy. Within a general equilibrium framework, I model heterogeneous polluting plants by allowing them to be differing in productivity and to choose optimally a discrete emission-reduction technology taking into account both the costs of reducing emissions and the competition in the goods market. An emission-reduction policy affects the distribution of plants with the advanced abatement technology and relocates resources and market shares across plants. As a result, the aggregate effects of an environmental policy depend on the degree of productivity dispersion. Using Canadian data, I show quantitatively that the aggregate effects of an environmental policy significantly affected by the degree of productivity dispersion both in the transition periods and in the long-run steady-state equilibrium.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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