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Record W4247288302 · doi:10.1504/ijesb.2018.095901

A comparison of the performance of majority female-owned and majority male-owned small and medium-sized enterprises

2018· article· en· W4247288302 on OpenAlexaffabout
Julio M. de la Rosa, Daouda Sylla

Bibliographic record

VenueInternational Journal of Entrepreneurship and Small Business · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFirm Innovation and Growth
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsBusinessEntrepreneurshipDebtSmall and medium-sized enterprisesDebt financingProfit (economics)FinanceDebt ratioFemale entrepreneursEconomics

Abstract

fetched live from OpenAlex

This paper examines the impact of majority gender ownership on the following measures of enterprise performance: sales per employee, profit per employee, employment, innovation, ratio of authorised to requested debt financing and interest rate on debt financing. Using Statistics Canada's Survey on Financing and Growth of Small and Medium Enterprises waves of 2011 2014, as well as administrative data from Statistics Canada's Linkable File Environment, we find that gender affected all measures of enterprise performance in 2011, whereas only sales per employee and employment were affected in 2014. In 2011, majority female-owned small and medium-sized enterprises (SMEs) had lower profit per employee than majority male-owned SMEs; they were more likely to be innovative than majority male-owned SMEs; they had lower ratio of authorised to requested debt financing than majority male-owned SMEs; and they also faced higher interest rate on debt financing than majority male-owned SMEs.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.047
GPT teacher head0.263
Teacher spread0.216 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations19
Published2018
Admission routes2
Has abstractyes

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