Employment, labor productivity and environmental sustainability: Firm‐level evidence from transition economies
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 This article investigates the impact of investment in environmentally sustainable practices on employment and labor productivity growth in transition economies. It explores the influence of labor skill composition and geographical variations on sustainability dynamics. Utilizing data from the World Bank's Enterprise Survey 2019 across 24 transition economies, an environmental sustainability index is constructed using Principal Components Analysis. To address endogeneity concerns, a combination of fixed effects and instrumental variables is employed. The findings highlight the significance of environmental sustainability for both employment and labor productivity growth. However, the observed relationships diminish in significance when comprehensively addressing endogeneity, suggesting a more nuanced and time‐dependent connection between environmentally sustainable practices and job growth. Notably, high‐skill firms experience a deceleration in job creation following sustainability investments, while low‐skill firms benefit from improved labor productivity. Geographically, Central Europe exhibits more pronounced impacts on labor productivity, potentially attributed to higher levels of development and sustainability awareness compared to Southeast Europe and the Commonwealth of Independent States.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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