坦桑尼亚纳税人对税法合规的感知挑战:对阿鲁沙少数选定创业实体的调查

Bonitha Benito Mahenge
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摘要

该研究旨在确定坦桑尼亚纳税人对税法合规的感知挑战;具体提到了阿鲁沙的几个选定的创业实体。采用数据收集和分析的定量方法进行横断面调查设计,以确定坦桑尼亚归因于税收挑战和税法合规联系的性质和关系。采用研究计划收集的数据采用SPSS软件进行描述性和推理性分析。有序线性回归模型被认为是一个很好的研究检验统计量。结果表明,税收负担上升、税法复杂、税法知识有限、税收制度薄弱和逃税是坦桑尼亚税法合规的显著负向预测因素。评估的税收合规挑战的负显著值表明,继续执行上述税法将赶走纳税人,而不是激发他们的自愿纳税合规;由于现行税法不够友好,无法吸引纳税人强制遵守。研究结果与法规遵从理论(TRC)一致,该理论强调选择正确的法律,并在遵守后产生预测结果;而不是有很多相同的东西却没有积极的结果
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Tax Payers’ Perceived Challenges on Tax Laws Compliance in Tanzania: A survey of few selected startup entities in Arusha
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
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