Improved Access to Foreign Markets Raises Plant-Level Productivity ... For Some Plants
Bibliographic record
Abstract
ABSTRACT: We weigh into the debate about whether rising productivity is ever a consequence rather than a cause of exporting. Exporting and investing to raise productivity are complimentary activities. For lower-productivity firms, incurring the fixed costs of such investments is justifiable only if accompanied by the larger sales volumes that come with exporting. Lower foreign tariffs will induce these firms to simultaneously export and invest in productivity. In contrast, lower foreign tariffs will induce higher-productivity firms to export without investing, as in Melitz (2003). We model this econometrically using a heterogeneous response model. Unique ‘plant-specific ’ tariff cuts serve as our instrument for the decision of Canadian plants to start exporting to the United States. We find that those lower-productivity Canadian plants that were induced by the tariff cuts to start exporting (a) increased their labour productivity, (b) engaged in more product innovation, and (c) had high adoption rates of advanced manufacturing technologies.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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 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".