The Impact of Emerging Market Competition on Innovation and Business Strategy: Evidence from Canada
Bibliographic record
Abstract
<p>Does intensifying emerging market competition boost or inhibit innovation? We estimate how a representative panel of Canadian firms adjusts innovation activities, business strategies, and exit in response to large increases in Chinese import competition. Our analysis shows that the innovation response of firms depends on the type of innovation: on average, product innovation incentives are stimulated by competition while process innovation incentives decline. We develop a theory that combines these different innovation types with partially irreversible innovation strategy choices to derive novel performance implications in response to competition. Consistent with this theory, we find that firms that initially pursue process innovation strategies and survive have higher profits ex-post, but are ex-ante more likely to exit. In contrast, firms that initially pursue product innovation strategies have higher profits if they survive, without significant impact on exit. Both empirical patterns are consistent with our theory, which suggests that innovator performance depends on the balance of innovation incentive effects and competitive failure risk. </p>
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".