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Record W2115409567 · doi:10.5430/ijfr.v1n1p2

Relationship between External Debt Management Policies and Economic Growth in Nigeria (1970-2006)

2010· article· en· W2115409567 on OpenAlexvenueno aff
Chris O. Udoka, Roland A. Anyingang

Bibliographic record

VenueInternational Journal of Financial Research · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsnot available
Fundersnot available
KeywordsExternal debtDebtDebt service coverage ratioEconomicsInternal debtDeficit spendingDebt-to-GDP ratioMonetary economicsExchange rateDebt levels and flowsCurrencyFinancial systemBusinessFinance

Abstract

fetched live from OpenAlex

This study sought to appraise the relationship between external debt management policies on the economic growth of Nigeria from 1970-2006. One null hypothesis was formulated to determine the effect of external debt on Gross domestic investment, exchange rate, fiscal deficit, and terms of trade. Ex-post facto research design was adopted for the study. Ordinary least square multiple regression technique was used to analyzed data gathered for the study. The result of the findings revealed that, GDP, exchange rate, fiscal deficit, London Interbank offered rate, and terms of trade are the major determinants of external debt in Nigeria. The severity of the debt within the period is reflected in the country’s inability to meet the debt service obligations particularly scheduled debt services in relation to its foreign currency earnings, it explains why the country had rescheduled  its debt from time to time (first in 1986, 1989, 1991, and last in October 2000). Recommendations are made that the federal government should lay down well considered guideline for external loans. Defining the purpose, duration, moratorium requirements and commitments, negotiation fees etc including the conditions under which the government can approve and guarantee external loans. Also In view of the debt relief, government should ensure that spending impact on poverty reduction halts HIV/AIDS and malaria and addresses child and material mortality. Thus, the government should priorities its spending on health, education, water, infrastructure, power and agriculture.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.533

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 science0.0010.000
Research integrity0.0000.001
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 head0.078
GPT teacher head0.343
Teacher spread0.264 · 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

Citations28
Published2010
Admission routes1
Has abstractyes

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