Small and medium-sized enterprises (SMEs) are significant contributors to employment, commerce, and household finances in Ghana, making them highly dependent on the tax regime for their survival. This paper focuses on the relationship between tax-rates-and-complexity and the growth and profitability of SMEs to inform policy adjustments in the municipality. The first objective of the project that inspired this journal article was to establish the effect of taxation on SMEs. The present study is a quantitative descriptive survey of 50 small- and medium-sized enterprises sampled from a target population of 102 businesses in Kasoa. The sample was selected purposively and was used to complete a questionnaire that had been pilot tested. The data were analysed using descriptive statistics, reliability analysis, Pearson correlations, and multiple regressions in SPSS version 27. The results showed that the tax-rates-and-complexity construct had a Cronbach's alpha of 0.688. The bivariate results showed that it had a weak negative relationship with SME growth (r = -.253, p = .016) and a moderately strong negative relationship with SME profitability (r = -.499, p = .001). However, in the regression model, the adjusted coefficient was not significant for growth (β = .063, p = .66) but was positive and significant for profitability (β = .382, p = .007). This contradicts the a-priori expectation that growth would be significantly related to taxes and implies that the two variables have some variance that should be partitioned. The paper discusses this issue and concludes that the most evident application of the findings is in developing graduated tax decrees, simplified procedures, stable guidelines, focused training, and differentiated enforcement for SMEs. It recommends wider studies with larger populations that use audited figures and specify variance partitioning processes such as diagnostics tests for multicollinearity and endogeneity.
Addo-Darko et al. (Fri,) studied this question.