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Record W7025082596

Unrestricted market access for sub-Saharan Africa: important benefits with little cost to the QUAD

2011· other· en· W7025082596 on OpenAlexaboutno aff

Bibliographic record

VenueEconomic Commission for Africa Knowledge Repository (Economic Commission for Africa) · 2011
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersUnited Nations Development Programme
KeywordsMarket accessTariffComputable general equilibriumDeveloping countryValue (mathematics)Rules of originAgricultureDeveloped countryTrade barrier
DOInot available

Abstract

fetched live from OpenAlex

The issue of unrestricted market access for sub-Saharan Africa has featured lately in the debate on overcoming Africa’s development challenges through trade, rather than aid. This paper assesses empirically the impact of eliminating all tariff and non-tariff barriers faced by all exports from Sub-Saharan Africa to the developed economies of the QUAD, meaning Japan, United States, Canada and the European Union. The empirical assessment quantifies the potential benefits of Africa in terms of export growth and welfare,as well as the costs to be borne by developed and developing economies. The paper uses a global CGE model in its analysis. The study finds that as a result of unrestricted market access, African exports would increase by US$ 1.9 billion. This growth will be mainly due to agricultural exports towards Japan and the European Union. However, the results did also indicate that due to supply-side constraints, the growth in exports to the QUAD countries would be associated with a decrease in exports to other markets, as African producers shift their resources to the benefit of the European and Japanese markets. As a result of the growth of its exports and the associated multiplier effects, sub-Saharan African countries have the potential to benefit from a large growth in their value added.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0040.005
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0200.001

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 head0.053
GPT teacher head0.286
Teacher spread0.233 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2011
Admission routes1
Has abstractyes

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