Technological choices and regulation: the case of the Canadian manufacturing sectors
Bibliographic record
Abstract
Abstract The economic environment in which Canadian manufacturing firms operate has changed substantially over the last 40 years. Technological changes, new regulations, deregulation, and exogenous economic shocks all have been important aspects of this economic environment. In this article, we show how to include such changes in the economic environment faced by the firms in a behavioural model that includes the investment decision of the firm under uncertainty. Assumptions regarding the expectation formation process and technology are kept minimal. We estimate the effects of innovations such as the free trade agreement, the foreign investment review agency, and the federal environmental policy on the economic decisions of fifteen Canadian manufacturing sectors. JEL Classification: D24 Choix de technologies et réglementation: le cas des secteurs manufacturiers canadiens Au cours des 40 dernières années, l’environnement économique des firmes manufacturières canadiennes s’est grandement transformé. Que ce soit à cause du changement technologique, de la réglementation, de vagues de déréglementation ou de chocs économiques exogènes, les firmes ont dû s’adapter en modifiant leur technologie. Dans cet article, nous montrons comment prendre en compte les changements de l’environnement économique des firmes dans le cadre d’un modèle décisionnel de la firme en incertitude avec investissement. Les hypothèses concernant la technologie et les anticipations sont aussi générales que possible. Nous estimons l’effet qu’ont eu l’accord de libre échange, l’agence de tamisage des investissements étrangers et la politique environnementale fédérale sur les choix de technologies des firmes de quinze secteurs manufacturiers canadiens.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".