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Record W2292201428 · doi:10.5539/jpl.v9n1p1

Fiscal Decentralisation and Economic Development in Nigeria: The Role of Democratic Institution

2016· article· en· W2292201428 on OpenAlexvenueno aff
Hammed Adetola Adefeso, Tunde A. Abioro

Bibliographic record

VenueJournal of Politics and Law · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsnot available
Fundersnot available
KeywordsDecentralizationRevenueDemocracyInstitutionEconomicsLanguage changePoliticsGovernment (linguistics)Good governancePublic administrationBusinessDevelopment economicsEconomic growthCorporate governancePolitical scienceFinanceLawMarket economy

Abstract

fetched live from OpenAlex

<p>It is a time series analysis that investigates on the role of democratic institution in the relationship between fiscal decentralisation and economic development in Nigeria. The trend analysis clearly showed that sub-national expenditure is higher than sub-national revenue in Nigeria. The federally allocated expenditures to sub-national is far more than its corresponding allocated revenue in Nigeria and this becomes manifest from the year 1999 when the nation returned to civil rule up till 2014 under the administration of a dominant political party known as the People’s Democratic Party (PDP). Using multiple regression analysis, the empirical results revealed 1% increase in expenditure decentralisation and revenue decentralisation would retard economic performance by 11% and 21% respectively when democratic institution index is included as explanatory variable. The impact of democratic institution in the relationship between fiscal decentralisation and economic performance in Nigeria is however, weak, positive and statistically insignificant in Nigeria as 100% increase in expenditure decentralisation and revenue decentralisation only yield 4% and 5% economic performance respectively in Nigeria. This has resulted to a wide spread level of corruption in Nigeria among bureaucrats and politicians. The study therefore advocates for a strong government institution that will be transparent, accountable and also respect the rule of law for sustainability, effectiveness and timely service delivery.</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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.162

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 head0.017
GPT teacher head0.208
Teacher spread0.192 · 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 designTheoretical or conceptual
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

Citations5
Published2016
Admission routes1
Has abstractyes

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