MétaCan
Menu
Back to cohort
Record W3212827595 · doi:10.5267/j.uscm.2021.9.002

Factors affecting the performance of foreign direct investment in the renewable energy supply chain

2021· article· en· W3212827595 on OpenAlexvenueno aff
Pham Thu Phuong, Nguyen Duc Duong, Nguyễn Thị Thu Hà

Bibliographic record

VenueUncertain Supply Chain Management · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEnergy, Environment, Economic Growth
Canadian institutionsnot available
Fundersnot available
KeywordsForeign direct investmentBusinessRenewable energySupply chainInvestment (military)Industrial organizationCommerceNatural resource economicsEconomicsMarketing

Abstract

fetched live from OpenAlex

The development of Vietnam's economy in recent years has had positive contributions from the foreign direct investment (FDI) sector to the realization of socio-economic goals. The study found four factors affecting the business performance of FDI enterprises in the renewable energy supply chain: internal environment, user pressure, cooperation with suppliers, and environmental regulations. Synthesized research from 395 survey questionnaires at renewable energy enterprises in Vietnam. High-tech, low-energy businesses and the environmental goods sector can benefit Vietnam's environment and help the country achieve its green growth goals.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.197
Teacher spread0.175 · 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.

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

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueUncertain Supply Chain ManagementSame topicEnergy, Environment, Economic GrowthFrench-language works237,207