Modelling Factors Affecting Internally Generated Funds of the Tamale Metropolitan Assembly of Ghana Using Multivariate Analysis Techniques

Bibliographic Data

ID13036611
AuthorsSaaka Takora (University for Development Studies), Edward Akurugu (0009-0000-4550-0541, University for Development Studies, corresponding author), Salifu Katara (University for Development Studies), Gideon Mensah Engmann (0000-0001-8381-3477, C.K. Tedam University of Technology and Applied Sciences), Joseph Asucam (University of Cape Coast)
Year2023
Volume14
Issue3
Pages399-421
Publication date2023-11-01
Open AccessNo
TypeARTICLE
VenueStatistics Politics and Policy (JOURNAL)
Journal identifiersISSN: 2151-7509 • E-ISSN: 2194-6299
PublisherDe Gruyter (PUBLISHER • DE)
DOI10.1515/spp-2023-0006
OpenAlexW4389050967
LanguageEN
References cited18

The study was carried out to model factors that affect the Internally Generated Funds of the Tamale Metropolitan Assembly using Factor and Confirmatory Factor analysis. The study involved 403 categories of respondents using probability and non-probability sampling techniques. The results from the Factor analysis confirmed a four-factor structure model to accurately represent the observed data without substantial loss of information. The Factor analysis revealed that the four factors affecting Internally Generated Funds in the metropolis are a proper database on revenue mobilisation , effectiveness and efficiency of revenue collectors , revenue monitoring and utilisation , and specific tools deployed for revenue mobilisation . Further examination of the Factor analysis using Confirmatory Factor analysis revealed that some modifications to the four-factor structure model in terms of correlating the measurement errors provide a good fit to the observed data as compared to a four-factor structure model with uncorrelated measurement errors. Findings from the Sattora-Bentler parameter estimates conclude that all paths of the selected model were significant, thus confirming a relationship between all latent variables and each measured variable of Internally Generated Funds. The findings from the study suggest further research on the use of the Structural Equation Model in an analogous area to be instituted to measure and analyse relationships between measured and latent variables

Confirmatory factor analysis · Econometrics · Economics · Factor (programming language · Factor analysis · Geography · Latent variable · Latent variable model · Metropolitan area · Multivariate analysis · Multivariate statistics · Revenue · Statistics · Structural equation modeling · Uncorrelated · Advanced Statistical Methods and Models · Computer Science · Fuzzy Systems and Optimization · Mathematics · Multi-Criteria Decision Making · Finance

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