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Record W2174833048 · doi:10.5539/ass.v11n28p188

Green Bank: International Experiences and Vietnam Perspectives

2015· article· en· W2174833048 on OpenAlexvenueno aff
Tran Thi Thanh Tu, Trần Thị Hoàng Yến

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEnergy, Environment, Economic Growth
Canadian institutionsnot available
FundersNational Science Foundation
KeywordsBusinessDeveloping countryInvestment (military)Green growthFinanceInvestment bankingEconomic growthEconomicsSustainable developmentPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Green Bank is a new concept that has been known in recent years, particularly for developing countries including Vietnam, because the requirements of environmental protection are trade-offs to achieve economic growth and development. Hence, it is generally accepted that the green bank is a model for banking in the future when it balances the benefits and cost between economic and environment of all stakeholders in the banking activities. This paper is an overview the new concept about green bank and the benefits of those to environment and economic. Then, it shows the international experiences from developed and developing countries. The lessons learnt withdraw will be useful for implementing in Vietnam, including: (i) enhancing the awareness of green banking of bank leaders, (ii) encouraging firms to make green investment to create green financing demand, (iii) developing the legal framework to encourage banks providing green finance.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0070.004
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.026
GPT teacher head0.240
Teacher spread0.215 · 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 source (direct Gemma or distilled Codex), 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

Citations17
Published2015
Admission routes1
Has abstractyes

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