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

Takora Saaka, Akurugu Edward (), Katara Salifu, Engmann Gideon Mensah and Asucam Joseph
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Takora Saaka: Department of Statistics, Faculty of Mathematical Sciences, University for Development Studies, Tamale, Ghana
Akurugu Edward: Department of Statistics, Faculty of Mathematical Sciences, University for Development Studies, Tamale, Ghana
Katara Salifu: Department of Statistics, Faculty of Mathematical Sciences, University for Development Studies, Tamale, Ghana
Engmann Gideon Mensah: Department of Statistics and Actuarial Science, School of Mathematical Sciences, C. K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana
Asucam Joseph: Department of Finance, School of Business, University of Cape Coast, Cape Coast, Ghana

Statistics, Politics and Policy, 2023, vol. 14, issue 3, 399-421

Abstract: 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.

Keywords: internally generated funds; factor analysis; confirmatory factor analysis (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1515/spp-2023-0006

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