MétaCan
Menu
Back to cohort
Record W3172102460 · doi:10.1111/1467-8268.12590

Fiscal decentralization and efficiency of public services delivery by local governments in Ghana

2021· article· en· W3172102460 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAfrican Development Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsInternational Development Research Centre
Fundersnot available
KeywordsDecentralizationRevenueMetropolitan areaPublic goodLocal governmentFrontierBusinessEconomicsRegional autonomyGoods and servicesPublic economicsFinanceMicroeconomicsEconomyPublic administrationMarket economy

Abstract

fetched live from OpenAlex

Abstract In this paper, we estimate the efficiency of Metropolitan, Municipal and District Assemblies (MMDAs) in Ghana, and investigate the impact of fiscal decentralization on the efficiency of local public goods and services delivery by MMDAs. Using data from composite budgets of all 216 MMDAs, we employ both non‐parametric and parametric frontier methods to carry out the study. The results with regard to our two indicators of fiscal decentralization indicate that fiscal autonomy proxied by MMDAs’ internally generated funds as a share of their total revenue has a positive influence on the efficiency of MMDAs whilst vertical imbalance—a high share of central government grants in MMDAs’ total expenditure—does not improve the delivery of local goods and services by MMDAs in Ghana. The findings indicate a clear signal to policy managers to prioritize support to MMDAs in the mobilization of internally generated revenue.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.939
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.015
GPT teacher head0.257
Teacher spread0.242 · 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