贝宁非税收入水平低:主要解释因素?第4551条

André Houndjo
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引用次数: 0

摘要

本文的总体目标是对解释非税收入征收水平低的因素进行排序,以确定主导因素。本研究基于对120名个体进行的问卷调查收集的数据。数据处理采用IBM SPSS Statistics 26软件。本文采用了两种分析方法。这是描述性分析和计量经济学分析。描述性分析表明,大多数(55%)被调查的个人确认贝宁的非税收入实现率相对于总预算收入实现一直很低,并且我们研究中的解释变量与待解释变量显着相关。计量结果表明,对非税收入征收水平低贡献最大的因素是国有企业、建筑租金和衡平法税的征收水平低,其幂为0.7090 (R2 =0.7090)。其次是不执行相关法律法规,其幂为0.3996 (R2 =0.3996);第三是纳税人不按时纳税,其幂为0.2182 (R2 =0.2182)。为了改善非税收入的征收——在这种情况下,是国有企业的捐款、建筑租金和总务府费用——与可持续发展目标保持一致,我们根据分析结果提出了运营建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LOW LEVEL OF NON-TAX REVENUE COLLECTION IN BENIN: THE MAIN EXPLANATORY FACTOR? Article-ID - 4551
The general objective of this research paper is to rank the factors explaining the low level of non-tax revenue collection in order to identify the dominant factor. The present study is based on data collected by means of paper questionnaires in a survey of one hundred and twenty (120) individuals. Data processing was carried out using IBM SPSS Statistics 26 software. Two methods of analysis were adopted in this paper. These are descriptive analysis and econometric analysis. The descriptive analysis shows that the majority (55%) of the individuals surveyed affirm that Benin always records a low rate of non-tax revenue realization in relation to total budget revenue realization, and that the explanatory variables in our study are significantly related to the variable to be explained. The econometric results show that the most noteworthy factor contributing most to the low level of non-tax revenue collection is the low level of collection of contributions from state-owned companies, building rents and chancery duties, with a power of 0.7090 (R2 =0.7090). In second place we have non-application of the relevant laws and regulations, with a power of 0.3996 (R2 =0.3996), and in third place, irregular payment by taxpayers, with a power of 0.2182 (R2 =0.2182). To improve the collection of non-tax revenues - in this case, contributions from state-owned companies, building rents and chancellery fees - in line with sustainable development objectives, operational recommendations have been made based on the results of our analyses.
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