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Record W3141227126 · doi:10.5539/ibr.v14n4p71

Examining the Degree of Foreign Trade Dependence and Its Influence on GDP Growth

2021· article· en· W3141227126 on OpenAlexvenueno aff
Senija Nuhanović, Mirnesa Baraković Nurikić

Bibliographic record

VenueInternational Business Research · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsOpenness to experienceEconomicsGross domestic productInternational economicsInternational tradeReal gross domestic productMonetary economicsMacroeconomics

Abstract

fetched live from OpenAlex

Contemporary international economic environment registers an increasing relationship and interdependence of countries regardless of the degree of their development. In the open economy, the development of foreign trade mainly implies the growth of gross domestic product (GDP). The basic goal of this paper is to examine the influence and effects of trade dependence on GDP. Trade dependence is used to describe a country for which exports and imports are very important. This coefficient also shows the degree of national economy openness. The analysis included the area of Bosnia and Herzegovina for the period 2010-2018, whereby the relevant statistical data were processed for export, import, GDP, as well as the selected coefficient of foreign trade dependence. The results showed the existence of a short-term or long-term relationship between GDP and the total export and import, as well as between GDP and export.

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)0.004
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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.320
GPT teacher head0.321
Teacher spread0.001 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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