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Boosting productivity through greater Small Business Dynamism

2016· book-chapter· en· W4241494955 on OpenAlexaboutno aff

Bibliographic record

VenueOECD economic surveys. Canada · 2016
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicFirm Innovation and Growth
Canadian institutionsnot available
Fundersnot available
KeywordsDynamismProductivityBusinessSmall businessIndustrial organizationCompetition (biology)EconomicsEconomic growthMarketing

Abstract

fetched live from OpenAlex

Small business dynamism is a feature of an SME sector that contributes to overall productivity growth, not an end in itself. Such dynamism increases productivity growth by reallocating resources towards more productive firms and strengthening the diffusion of new technologies. Small business dynamism in Canada has declined in recent decades, as in other OECD countries, but overall it remains in the middle of the range, with some indicators above average and others below. Framework economic policies are generally supportive of small business dynamism, especially labour regulation, but there is scope to reduce regulatory barriers to product market competition. Canada has many programmes to support small businesses. Some of the largest programmes are not well focused on reducing market failures. Focusing support more on reducing clear market failures would increase the contribution of these programmes to productivity growth and living standards. This would likely entail redirecting support from small businesses in general to start-ups and young firms with innovative projects, which would boost small business dynamism.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.877
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.003

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.

Opus teacher head0.046
GPT teacher head0.184
Teacher spread0.139 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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