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Record W1995875595 · doi:10.5539/ijef.v6n8p118

The Impacts of ASEAN Labour Migration to Thailand upon the Thai Economy

2014· article· en· W1995875595 on OpenAlexvenueno aff
Utis Sanglaoid, Sumalee Santipolvut, Laemthai Phuwanich

Bibliographic record

VenueInternational Journal of Economics and Finance · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsComputable general equilibriumEconomicsTourismGross domestic productWages and salariesLabour economicsDistribution (mathematics)MacroeconomicsGeography

Abstract

fetched live from OpenAlex

The objective of this research is to analyse the impacts of ASEAN labour migration to Thailand upon the Thai economy. A computable general equilibrium (CGE) model is employed to investigate six economic impacts, comprising: gross domestic product (GDP), household incomes, income distributions, labour wages, exports, and imports. Two main scenarios are simulated for such impacts. The first scenario is based upon Thai foreign worker policies, which result in higher GDP, household incomes, exports, and imports but lower wages for unskilled labour and lower income distributions. The second scenario is based upon an ASEAN MRA concerning the labour movement of eight occupations: doctors, dentists, nurses, engineers, architects, accountants, surveyors, and tourism professionals. The results show impacts upon higher GDP, household incomes, income distributions, exports, and imports but lower wages for skilled labour.

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)0.000
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: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.008
GPT teacher head0.258
Teacher spread0.249 · 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

Citations4
Published2014
Admission routes1
Has abstractyes

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Same venueInternational Journal of Economics and FinanceSame topicMigration and Labor DynamicsFrench-language works237,207