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Record W6909313203 · doi:10.34874/prsm.rpe.51751

The role of formal institutions in establishing trust and facilitating international trade within the AFCFTA

2024· article· en· W6909313203 on OpenAlexaboutno aff

Bibliographic record

VenuePRSM · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsTrade barrierTransparency (behavior)Corporate governanceEuropean unionEconomic integrationTransaction costHarmonizationFree tradeComparative advantageMarket access

Abstract

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This article investigates the pivotal role of formal institutions in fostering trust and facilitating international trade within the African Continental Free Trade Area (AfCFTA). Recognizing that formal institutions such as laws, regulations, and standards are essential in structuring economic interactions and reducing uncertainties, the study delves into how these institutions can enhance predictability and transparency among trading partners. The research begins by establishing a theoretical framework, drawing upon economic theories by North (1991) and Williamson (1985), which highlight how institutions serve as the "rules of the game" and reduce transaction costs. It emphasizes the importance of formal institutions in protecting property rights, enforcing contracts, and resolving disputes, which are critical for the smooth functioning of markets. An overview of the AfCFTA is provided, outlining its objectives of boosting intra-African trade, promoting economic development, and creating a single market for goods and services. The expected benefits include increased trade within Africa, diversification of economies, reduction of dependency on raw material exports, and improved economic resilience to external shocks. The study identifies specific institutional challenges faced by the AfCFTA, including regulatory disparities among member countries, limited institutional capacities, governance issues, and inadequate physical infrastructure. These challenges hinder the harmonization of trade regulations and complicate the implementation of uniform trade policies. To address these challenges, the article conducts a comparative analysis of formal institutions in other successful free trade areas, notably the European Union (EU) and the United States-Mexico-Canada Agreement (USMCA). The comparison reveals best practices such as the importance of supranational authorities (e.g., the European Commission), effective dispute resolution mechanisms, harmonization of norms and standards, and robust governance structures that ensure transparency and inclusiveness. The article further examines the mechanisms through which formal institutions can enhance trust among trading partners within the AfCFTA. By evaluating current institutions and analyzing trust mechanisms, it highlights the need for regulatory transparency, protection of property rights, harmonized certifications and quality standards, and streamlined customs procedures. Case studies of businesses operating within the AfCFTA, such as the Dangote Group, Ethiopian Airlines, and the OCP Group, illustrate both the opportunities presented by the AfCFTA and the challenges posed by weak formal institutions. Based on the findings, the article proposes comprehensive recommendations to strengthen formal institutions within the AfCFTA. These include enhancing legal and regulatory frameworks by harmonizing trade laws and regulations, improving transparency and governance through inclusive decision-making processes and regular publication of regulations, and establishing effective dispute resolution mechanisms such as a regional commercial tribunal and alternative dispute resolution methods. The study underscores the importance of building institutional capacities and investing in infrastructure to fully realize the potential benefits of the AfCFTA. In conclusion, the article emphasizes that the success of the AfCFTA in stimulating economic growth and regional integration in Africa is contingent upon the strengthening of formal institutions. By adopting best practices from other free trade areas and implementing the recommended strategies, AfCFTA member countries can enhance trust among trading partners, reduce risks, and create a conducive environment for sustainable economic development.

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)0.008
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.014
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0060.009
Scholarly communication0.0090.006
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.047
GPT teacher head0.228
Teacher spread0.181 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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