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Record W4390953893 · doi:10.1080/13504851.2024.2305671

Government expenditure and entrepreneurial activity: considering the types of entrepreneurial motivations

2024· article· en· W4390953893 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

VenueApplied Economics Letters · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsKootenay Association for Science & Technology
FundersNational Research Foundation of KoreaMinistry of EducationNational Research Foundation
KeywordsEntrepreneurshipGovernment (linguistics)Government expenditureGovernment spendingEconomicsBusinessPublic economicsEconomic growthEconomic systemMarket economyPublic financeMacroeconomicsFinance

Abstract

fetched live from OpenAlex

As a cross-national study, we analyze the relationship between the functional-level government expenditure and the different types of entrepreneurship, that is, whether it is an opportunity-or necessity-based entrepreneurship.Our analysis of 17 Organization for Economic Cooperation and Development (OECD) nations revealed that government investments in economic affairs are positively related to opportunity-driven entrepreneurship, but negatively to necessity-driven entrepreneurship.On the other hand, government spending on education is positively related to necessity-driven entrepreneurship.Further, we find that larger government expenditure on education in Asian countries encourages more entrepreneurs to start their businesses than the rest of the OECD.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.710
Threshold uncertainty score0.472

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.191
Teacher spread0.179 · 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