论区域税收筹划方法的改进

A. Tatarenko
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引用次数: 0

摘要

本研究的主题是在中观层面规划税收收入的方法。中间一级的税收规划是一个复杂的过程,因为俄罗斯联邦的每个地区都有影响实际税收数额的个别因素。社会经济发展水平造成的区域差异问题导致规划不准确,因为目前的方法只考虑了有限的影响因素。因此,现有的税收规划方法是通过区域经济的多因素性质来审视的。本文运用数学方法和实证方法,结合社会经济发展水平的区域差异问题,对现有税收规划方法的缺陷进行了分析。因此,作者提出了一种统一的方法,可以改进现有的规划税收方法,并平衡由于社会经济发展水平的区域差异对这种规划结果的影响。这种方法的实质在于建立了规划税收的多元模型,该模型考虑了影响区域税收数额的无限因素。多变量模型的结果表明,计算数据与实际数据相比误差较小。因此,所得税的误差总计为1.1%,个人所得税的误差为1.2%,消费税的误差为3.4%,MET的误差为1.4%。所得结果表明,区域税收筹划的质量和效率有所提高。所提出的模型还说明了影响税收实际数额的因素,这反过来又准确地指出了计划值中的错误因素。这种模式可以相当程度上结合税收筹划的多因素性质、完整性和透明度原则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the improvement of methodology of tax planning on the regional level
The subject of this research is the methodology of planning tax revenues at the meso-level. Tax planning at the meso-level is a complex process, since each region of the Russian Federation has its individual set of factors that influence the actual amount of tax revenues. The problem of regional differentiation by the level of socioeconomic development leads to inaccurate planning due to the fact that the current methodology takes into account a limited number of contributing factors. Therefore, the existing methodology of planning tax revenues is viewed in through the prism of multifactorial nature of regional economy. The article employs the mathematical and empirical methods for identification of flaws in the existing methodology of planning tax revenues coupled with the problem of regional differentiation of by the level of socioeconomic development. As a result, the author presents a unified approach that allows improving existing methodology of planning tax revenues and balancing the effect upon the outcome of such planning that occurs due to regional differentiation by the level of socioeconomic development. The essence of this approach lies in creation of the multivariate model of planning tax revenues that takes into account the unlimited factors affecting the amount of tax revenues from the region. The results of the multivariate model indicate the low level of error in comparison to the calculated data with the actual data. Thus, the error for income tax totaled to 1.1%, for personal income tax to 1.2%, for excise taxes to 3.4%, and for MET to 1.4%. The acquired results indicate an improvement in the quality and efficiency of tax planning on the regional level. The presented model also illustrates the factors that affect the actual amount of tax revenues, which in turn, accurately points at the factors o0f errors in the plan values. This model may considerably combine the principles of multifactorial nature, integrity, and transparency of tax planning.
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