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Record W2035818931 · doi:10.5430/rwe.v2n1p48

The Influential Factors on Internationalization of the SMEs in China: on Wenzhou’s Shoe Industry and Policy Implications

2011· article· en· W2035818931 on OpenAlex
Shouchao He

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch in World Economy · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsnot available
FundersWenzhou University
KeywordsInternationalizationChinaBusinessGovernment (linguistics)Industrial organizationProcess (computing)Financial crisisManufacturingEconomic geographyMarketingInternational tradeEconomicsPolitical science

Abstract

fetched live from OpenAlex

As a major center in the world’s largest footwear producing and exporting country, China is trying to transform its labor intensive manufacturing industry into a more competitive and internationalized one. However, there are still many uncertainties in the process of internationalization. Wenzhou, one of the major industrial cities, is also facing this challenge. This paper first examine the key influential factors for internationalization of SMEs from a theoretical perspective, then plug the data and factors from Wenzhou into the framework to analyze the influential factors on the Internationalization of the SMEs in Wenzhou. Results demonstrate that both the external factors, like global financial crisis, and internal ones, like the local infrastructure, government support, are critical for the internationalization of Wenzhou SMEs. Policy implications are addressed to promote the internationalization of 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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.537
Threshold uncertainty score0.535

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.086
GPT teacher head0.341
Teacher spread0.255 · 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