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Record W2766131455 · doi:10.5539/ass.v13n11p47

Determinants of Foreign Direct Investment in the Middle East Region: An Empirical Analysis

2017· article· en· W2766131455 on OpenAlexvenueno aff
Munir Hassan

Bibliographic record

VenueAsian Social Science · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsnot available
Fundersnot available
KeywordsOpenness to experienceForeign direct investmentMiddle EastEconomicsInternational economicsHuman capitalPanel dataPurchasing power parityInternational tradeInvestment (military)Sample (material)Purchasing powerEconometric modelMonetary economicsMacroeconomicsExchange rateEconomic growthGeographyPolitical scienceEconometricsPolitics

Abstract

fetched live from OpenAlex

The objective of the present study is to examine the Foreign Direct Investment (FDI) inflows in the Middle East region, and it also attempts to identify the potential determinants for the investment inflows. With this purpose taking assistance of public database such as the World Bank (WB), and the United Nations Conference on Trade and Development (UNCTAD) a panel econometric model has been specified and tested for a sample of 09countries over a period of 35 years (1981-2015). The result of the study shows Purchasing Power, Human Capital and Trade Openness as the key determinants of Inward FDI inflows for the growth and development of the Middle East region.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score0.565

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.088
GPT teacher head0.321
Teacher spread0.232 · 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.

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

Citations8
Published2017
Admission routes1
Has abstractyes

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