MétaCan
Menu
Back to cohort
Record W4319963745 · doi:10.3390/jrfm16020110

Effect of Aid-for-Trade Flows on Investment-Oriented Remittance Flows

2023· article· en· W4319963745 on OpenAlexvenueno aff
Sèna Kimm Gnangnon

Bibliographic record

VenueJournal of risk and financial management · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsnot available
Fundersnot available
KeywordsRemittanceBeneficiaryInvestment (military)International economicsCapital flowsPanel dataForeign direct investmentEconomicsDeveloping countryBusinessMonetary economicsMacroeconomicsFinanceEconomic growthMarket economy

Abstract

fetched live from OpenAlex

Despite the voluminous literature on the effect of aid-for-trade (AfT) flows on recipient countries’ trade performance, little is known about the relationship between AfT flows and other capital flows to developing countries. This paper contributes to the literature by exploring the effect of AfT inflows on investment-oriented remittance inflows, notably through the channel of trade costs. Using an unbalanced panel data set of 106 countries over the period 2002–2019 and the two-step system generalized method of moments, the empirical analysis establishes several outcomes. AfT flows exert a positive effect on investment-oriented remittance flows, where the magnitude of this positive effect is higher in least-developed countries and in remittance-dependent countries than in other countries. AfT flows stimulate investment-oriented remittance flows in countries that face higher trade costs. The analysis shows that AfT flows could be important leverages for stimulating investment-oriented remittance flows and could promote the development of the private sector in beneficiary countries.

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)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.896
Threshold uncertainty score0.285

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.008
GPT teacher head0.268
Teacher spread0.260 · 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
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of risk and financial managementSame topicInternational Development and AidFrench-language works237,207