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Record W4309705306 · doi:10.5430/jbar.v11n2p1

Effects of Political Institutions on Economic Growth in CEMAC Member Countries

2022· article· en· W4309705306 on OpenAlex
Sylvaniste ETSIBA

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Business Administration Research · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsPoliticsLanguage changeWorld Development IndicatorsCorporate governancePolitical stabilityQuality (philosophy)Rule of lawEconomic systemDevelopment economicsMacroeconomicsPolitical scienceForeign direct investment

Abstract

fetched live from OpenAlex

The objective of this article is to analyze the effects that political institutions can have on economic growth in the Central African Economic and Monetary Community (CEMAC) zone after asking the question of what are the effects of political institutions on economic growth in the CEMAC zone? In this work, we support the hypothesis that the quality of political institutions is not neutral in the performance recorded by CEMAC countries in terms of economic growth. This analysis is based on World Bank World Development Indicators (WDI) data covering the period from 2002 to 2019 and concerns all member countries of the CEMAC zone, except Gabon. The choice of research period and countries was dictated by data availability. To do this, an empirical analysis that highlights the link by the PSTR model which is based on two stages was adopted. This is the verification of the existence or not of a nonlinear relationship and the detection of the number of regimes of the model. It remains from the results obtained that the variables relating to political institutions have a marginal effect on economic growth in the CEMAC countries, because the coefficients associated with these variables are not significant at the 10% threshold. These results suggest that institutional factors (rule of law, political stability and absence of violence and control of corruption) appear as neutral factors in economic growth. These results can be explained by the fact that the quality of governance despite reforms in CEMAC member countries is still weak to support economic growth. These results confirm those obtained by Sievers (2001) who gave a rather mixed assessment of institutions in African 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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.567
Threshold uncertainty score0.433

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.112
GPT teacher head0.349
Teacher spread0.237 · 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