Import competition and firm‐level CO 2 emissions: Evidence from the German manufacturing industry
Bibliographic record
Abstract
Abstract Using the German census of the manufacturing industry, I analyze the impact of import competition on carbon emissions per unit of deflated sales (emission intensity). I combine precise information on firm‐level CO emissions with sector‐level trade flows. Looking at the period 1995 until 2017, I focus on the impact of the rise of Eastern Europe and China while addressing the endogeneity of trade flows with an instrumental variable approach. The baseline results suggest that a 1 pp increase in the import penetration ratio caused a reduction of the average firm's emission intensity by approximately 0.3%. This result implies that the rise of the joint East between 1995 and 2017 kept the average firm's emission intensity 6% below the level it would have had in the absence of the East's rise. I do not find strong indication for reallocation of production towards more efficient firms. Finally, I supplement the analysis by examining the effect of export opportunities due to the East's rise. The results indicate that exporting to the East increased sales and emissions, with a small, if any, negative effect on emission intensities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".