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Record W3197658098 · doi:10.5430/rwe.v12n4p54

Structural Constraints to African Continental Free Trade Area: Prospects, Issues and Policy Options

2021· article· en· W3197658098 on OpenAlexvenueno aff
Ogujiuba Kanayo

Bibliographic record

VenueResearch in World Economy · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic integrationPoliticsInternational free trade agreementTrade barrierFree tradeEconomicsInternational tradeObstacleCommercial policyInternational economicsPolitical science

Abstract

fetched live from OpenAlex

The foremost intents of the African Continental Free Trade Area (AfCFTA) predicates on the integration of the African continent into mobile flows of trade and investment. This framework is structured to boost industrial development within the continent. However, statistics show an abysmal trade performance for Africa in comparism to the rest of the world. In contrast, projections indicate that the benefactors of the AfCFTA framework would be SMEs in the short term, which account for more than 75% of the continent’s businesses. Notwithstanding Africa’s resolve to disassemble trade restrictions, barricades to intra-African trade have persisted. Conversely, the scheduling of AfCFTA stands in sharp contrast with an international perspective framed by a tenacious increase in trade-restrictive processes. The pertinent question remains, can the objectives of AfCFTA increase Intra African Trade, given the persistent structural barriers in the continent. Using a desktop approach and secondary data, this article examines contemporary issues, which encumber trade within and amongst the regional blocks. From our examination, the foremost obstacle to AfCFTA have a fundamental political focus rather than an economic dimension. Accomplishing AfCFTA objectives would entail a strong political will and efforts by political leaders in Africa; if the barriers are effectively fixed, AfCFTA could attain a welfare improvement projected at over 16 billion dollars.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.125
GPT teacher head0.325
Teacher spread0.200 · 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.

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

Citations1
Published2021
Admission routes1
Has abstractyes

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