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Record W3011583944 · doi:10.1080/00472778.2020.1726125

Accessibility to external finance and entrepreneurship: A cross-country analysis from the informal institutional perspective

2020· article· en· W3011583944 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Small Business Management · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPrivate Equity and Venture Capital
Canadian institutionsUniversity of SaskatchewanMount Royal University
Fundersnot available
KeywordsEntrepreneurshipVenture capitalPerspective (graphical)Entrepreneurial financeEquity (law)BusinessExternal financingFinanceSurvey data collectionDebtAccess to financeEconomicsPolitical science

Abstract

fetched live from OpenAlex

By using individual-level survey data from 97 countries, we investigate the effect of informal institutions on external financing and its impact on entrepreneurship. We find that a culturally driven entrepreneurial environment allows entrepreneurs to obtain more debt, equity, and venture capital financing, and this, in turn, increases entrepreneurial activities. We further find that culturally driven entrepreneurial environment is more critical in determining entrepreneurship than formal institutional arrangements (such as investor protection). Our results provide evidence that cross-country variations in entrepreneurship can be explained by differences in cultural support to new venture financing across countries.

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.

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)0.000
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 score0.126
Threshold uncertainty score0.928

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
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 head0.023
GPT teacher head0.250
Teacher spread0.227 · 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