What drives employment growth of Canadian Businesses? A Fresh Look at Indicators of Agglomeration Economies when Competition and Diversity Matter
Bibliographic record
Abstract
This study investigates indicators of external scale economies in Canada for the period 2004-11. Accounting for firm-level external scale forces, we explore the extent to which external scale economies impact employment growth. Our analysis focuses on three factors: the impact of external scale economies accounting for Marshallian specialization and Jacobs diversity, competition by industry, and related and unrelated firm varieties in terms of employment and sales. Results accounting for non-linearity between employment growth and agglomeration suggest that in the short run, during the period 2004-2011, local competition and diversity in Canada have had a positive impact on employment growth, while the effect of Marshallian specialization is negative; during the period of the global financial crisis and immediately thereafter (2008-2011) however, the magnitude of the positive effect of competition and diversity is lower, while the negative effect of specialization on employment growth is also smaller and rather insignificant. In the long run, a peak threshold for specialization and diversity is found, while a lower bound threshold for competition can be identified. Moreover, diversity is found an insignificant employment growth determinant in the agricultural sector, while concentration contributes insignificantly to employment growth in the industry sector.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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 teacher head, 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".