Abstract

The study aimed to determine tax payers’ perceived challenges on tax laws compliance in Tanzania; with specific reference to few selected startup entities in Arusha. A cross sectional survey design with quantitative approach on data collection and analysis was employed to determine the nature and relationships of the ascribed tax challenges and tax laws compliance link in Tanzania. The data collected using research schedules were descriptively and inferentially analyzed using SPSS software. Ordinal linear regression model was considered a good study test statistic. The results shown that, the rising tax burden, complexity of tax laws, limited knowledge on tax laws, weak tax systems, and tax evasions are significant negative predictors of tax laws compliance in Tanzania. The negative significant values of the assessed tax compliance challenges indicated that, the continued enforcement of the said tax laws will drive away tax payers than rousing their voluntary tax compliance; as the current tax laws are not friendly enough to attract tax payers’ forceless compliance. The findings are in line with the theory of regulatory compliance (TRC) that, stresses the selection of right laws with predictive results when complied with; rather than having a multitude of the same with no positive outcomes

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call