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Record W2972462119 · doi:10.35188/unu-wider/2019/671-5

The contribution of services to trade and development in Southern Africa

2019· book· en· W2972462119 on OpenAlexaboutno aff
Justin Visagie, Ivan Turok

Bibliographic record

VenueWorking Paper Series · 2019
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
FundersUnited Nations University World Institute for Development Economics Research
KeywordsForeign direct investmentInternational tradeTrade in servicesProductivityBusinessMarket accessQuarter (Canadian coin)Investment (military)International economicsValue (mathematics)Trade barrierEconomicsEconomic growthGeographyAgriculturePolitical science

Abstract

fetched live from OpenAlex

Services are the fastest growing portion of world trade and now account for nearly a quarter of global exports. This presents opportunities for emerging economies to adapt and enter new markets. Many countries in southern Africa have struggled to diversify from a heavy reliance on primary commodities towards manufacturing industries. Tradable services could contribute to economic growth and development by bolstering industrial capabilities, facilitating productivity growth, and contributing directly to exports. The authors examine evidence on international services trade for the Southern African Development Community between 1995 and 2012, and supplement this with a review of Foreign Direct Investment from South Africa. Tradable services appear to have made a limited contribution to total trade for most countries, and there is little evidence of significant regional integration or specialization in higher value-added activities. The role of tradable services is an important policy and research agenda that warrants much more attention all round.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.982
Threshold uncertainty score0.728

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 head0.029
GPT teacher head0.179
Teacher spread0.150 · 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 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

Citations4
Published2019
Admission routes1
Has abstractyes

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