Assessment of the Tax Burden on the Agricultural Enterprise: a Practical Aspect
Journal: Collection of Scientific Works of Kirovohrad National Technical University. Economic Sciences (Vol.32, No. 1)Publication Date: 2017-12-18
Authors : Alla Lysenko;
Page : 152-160
Keywords : level of tax burden; tax payments; agricultural enterprise; agricultural land area; VAT; single tax;
Abstract
The purpose of this study is to assess the level of tax burden on a business entity using the basic methodology and its adjustment, taking into account the practical aspects of the activity of a particular agricultural enterprise. In the article, based on the adjustment of the basic methodology for estimating the level of tax burden on the entity, taking into account the practical aspects of the activity of the JSK them. Frunze of Alexandria district of Kirovograd region in 2012-2016, the level of tax burden on an agricultural enterprise is researched. It is proved that the peculiarities of the activity of the individual economic entity influence the formation and dynamics of changes in the tax burden factors and are important for the development of fair approaches in the taxation of agricultural producers. The assessment of the tax burden at the microeconomic level provides an opportunity to substantiate the important interrelations between the indicators of economic activity and the amount of tax payments, to identify trends in the development of individual industries or activities within certain economic entities. The adjusted method of calculating tax burden indicators, taking into account sector specifics and specifics of the operation of the enterprise, is based on the use of a system of important economic indicators, reflected in its financial, statistical and tax reporting. Further studies of the above-mentioned problem should be conducted in the direction of in-depth study of causal relationships between the level of tax burden as a productive indicator and a set of factors that form it, based on the construction and use of deterministic and stochastic factor models
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