Multinationals and Reallocation: Productivity Growth in the Canadian Manufacturing Sector
Bibliographic record
Abstract
Output growth in Canadian manufacturing was slower in the 2000s than in the 1990s. The sector?s real output declined, in contrast to an overall increase in output in the business sector (Clarke and Couture 2017). It fell rapidly during the 2007-to-2009 financial crisis, and returned to its pre-crisis level only in 2016. The market share of foreign-controlled firms also declined after 2000 (Baldwin and Li 2017). This paper examines the role of multinationals and reallocation in productivity growth in the Canadian manufacturing sector for the period from 2001 to 2010, a period of significant change in this sector. It contributes to the literature on several fronts. First, it complements the literature by examining productivity growth at the firm level. This paper also seeks to examine whether the decline that started around 2006 was associated with changes in the effect of reallocation and the role of foreign multinationals in aggregate productivity growth.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".