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Record W2310594691 · doi:10.5539/ijef.v8n4p123

Do Economic Reforms Spur Bancarisation Rate in the CEMAC Region? Empirical Analysis

2016· article· en· W2310594691 on OpenAlexvenueno aff
Gérard Tchouassi

Bibliographic record

VenueInternational Journal of Economics and Finance · 2016
Typearticle
Languageen
FieldComputer Science
TopicEconomic Growth and Development
Canadian institutionsnot available
Fundersnot available
KeywordsDecentralizationEconomicsPer capitaGross domestic productLiberalizationFinancial systemInternational economicsMonetary economicsMacroeconomicsMarket economy

Abstract

fetched live from OpenAlex

<p>The aim of this paper is to empirically analyze the effect of the economic reforms on the bancarisation rate in the Central Africa Economic and Monetary Community (CEMAC). Data of six countries from the sub-region from 2001 to 2011 was used in a generalized method of moment (GMM) modeling framework. The following results are obtained: Financial liberalization has facilitated the opening of bank accounts. The opening of bank accounts demand is an increasing function of Gross Domestic Product per capita. The literacy rate contributes to the improvement of financial and banking services. Public and private infrastructures promote decentralization and delocalization of the banking network to smaller cities and rural areas. Institutional reforms work best for increasing the bancarisation rate where financial and banking activities are weak. So, the economic policy to be implemented is to continue the economic and financial reforms and ameliorate the quality of the institutions in the CEMAC region.</p>

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score0.187

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.022
GPT teacher head0.253
Teacher spread0.231 · 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 designObservational
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
Published2016
Admission routes1
Has abstractyes

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