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Record W4388784513 · doi:10.1016/j.tncr.2023.08.003

A panel analysis of FDI inflows and poverty reduction in BRICS countries: An implication for the sustainable development goal one

2023· article· en· W4388784513 on OpenAlexvenueno aff
Timothy Ayomitunde Aderemi, Adedayo Mathias Opele, Wahid Damilola Olanipekun, Mamdouh Abdulaziz Saleh Al‐Faryan

Bibliographic record

VenueTransnational Corporation Review · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsnot available
Fundersnot available
KeywordsNexus (standard)EconomicsForeign direct investmentPovertySustainable developmentPanel dataPoverty reductionInternational economicsCausality (physics)Developing countryDevelopment economicsInternational tradeMacroeconomicsEconomic growthEconometricsPolitical science

Abstract

fetched live from OpenAlex

FDI inflows and poverty reduction nexus has been an ongoing global debate in the recent times. Against this backdrop, this study examined the relationship between FDI inflows and poverty reduction in this economic bloc between 1990 and 2019. Data was collected from UNCTAD and WDI respectively, and a Panel Error Correction Model and the Pairwise Dumitrescu Hurlin Panel Causality tests were respectively employed. The following findings originated from the study; firstly, the relationship between FDI inflows and human development was negative and significant in the short run. In the long run, the reverse was the case. Therefore, the study concluded that FDI inflows have a trickle-down effect on poverty reduction in BRICS countries only in the long run. Therefore, it was recommended that for the policymakers in BRICS countries to achieve the Sustainable Development Goal (SDG 1), policy that will propel massive inflows of FDI into BRICS economies should be explored.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.978
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.055
GPT teacher head0.282
Teacher spread0.227 · 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 designTheoretical or conceptual
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

Citations16
Published2023
Admission routes1
Has abstractyes

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