The Tracking of Environmental Costs: Motivations and Impacts
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
Most accounting systems separately capture and accumulate one portion of the overall environmental costs of firms, while the remainder is embedded in other cost pools, such as general overhead costs or administrative costs. Little empirical evidence has been provided to explain the impacts of cost accounting systems that make a larger portion of firms' total environmental costs visible. The aim of this study is to conceptually and empirically examine the relationships among the tracking of environmental costs (TEC) by firms, their environmental motivations, and the impacts in terms of environmental and economic performance. Using survey data from a large sample of manufacturing firms, the results suggest two main conclusions. First, the TEC has an indirect influence on economic performance through environmental performance. Second, this indirect effect is influenced by the environmental motivations of the firm. More specifically, this indirect effect is greater (lesser) for firms whose motivations are predominately business-oriented (sustainability-oriented).
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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