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Record W4386785704 · doi:10.58837/chula.is.2021.43

The relationship between growth rate and outward foreign dierct investment of Thailand

2021· dissertation· en· W4386785704 on OpenAlexaboutno aff
Chonlakorn Kliakaew

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsnot available
Fundersnot available
KeywordsForeign direct investmentGross fixed capital formationGross private domestic investmentQuarter (Canadian coin)Fixed investmentInternational economicsInvestment (military)EconomicsCapital formationMonetary economicsForeign capitalReturn on investmentInternational tradeMacroeconomicsOpen-ended investment companyMarket economyHuman capitalGeographyPolitical scienceFinancial capitalProduction (economics)

Abstract

fetched live from OpenAlex

This paper determines whether there is a relationship between the growth rate in Thailand and outward foreign direct investment from ASEAN and Europe. The variables that have been adopted are outward foreign investment in ASEAN, outward foreign investment in Europe, foreign direct investment, and gross fixed capital formation, all of which have been measured using time series data from Quarter 1 in 2005 to Quarter 3 in 2021. The two-stage least squares model was employed in this investigation. The main findings are the outward foreign direct investment from ASEAN has a relationship with GDP and it also has an effect on the gross fixed capital formation. Furthermore, there is no relationship between foreign direct investment in Europe and GDP. The outward foreign direct investment from Europe has no impact on the gross fixed capital formation, which is a measure of economic growth that can be related to GDP growth.

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)0.001
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.254
Teacher spread0.220 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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