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Record W4399930344 · doi:10.18280/ijsdp.190626

Effects of the Central European Free Trade Agreement (CEFTA) on Kosovo 2014-2023

2024· article· en· W4399930344 on OpenAlexvenueno aff
Safete Hadergjonaj, Gani Asllani, Sabiha Shala, Simon Grima

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsFree trade agreementInternational tradeBusinessFree trade

Abstract

fetched live from OpenAlex

Kosovo is a member of the Central European Free Trade Agreement (CEFTA). Through this agreement, policies related to free trade in Central European countries have been created and implemented. CEFTA aims to liberalize and expand the market to achieve economic objectives, such as increasing exports, Foreign Direct Investment (FDI), production, and competitiveness. In Kosovo, trade liberalization has not been accompanied by an improvement in the competitiveness of the manufacturing sector, resulting in a high trade deficit. The objective of this research is to analyze data on the export and import of commercial goods between Kosovo and CEFTA countries from 2014 to 2023 and their impact on Gross Domestic Product (GDP) and FDI over these years. Empirical analyses show that exports and imports with CEFTA member countries have a significant impact on GDP, but do not have a noticeable effect on increasing FDI.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score0.333

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.009
GPT teacher head0.211
Teacher spread0.202 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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