SHS Web Conf.
Volume 65, 2019The 8th International Conference on Monitoring, Modeling & Management of Emergent Economy (M3E2 2019)
|Number of page(s)||7|
|Published online||29 May 2019|
Assessment of tax subjects’ interaction under uncertainty of socio-economic processes
Classic Private University, Economics Department, Zaporizhzhia, Ukraine
2 Zaporozhye State Medical University, Medical Physics, Biophysics and Further Mathematics Department, Ukraine
3 Classic Private University, Theoretical Economics, Marketing and National Economics Department, Zaporizhzhia, Ukraine
* Corresponding author: firstname.lastname@example.org
Topicality of research into interactions between tax environment subjects is justified by growing uncertainty of changes in socio-economic processes. The aim of this study is to assess interaction between taxpayers, controlling bodies and public authorities in view of dominant paradigms and results of expert and sociological research on subjects with regard to the degree of their influence on tax environment climate. Interaction is defined as a certain type of relations between subjects that result in developing mutual influence which induces corresponding changes of their states. Interaction is essentially a poorly structured category, which dictates a need to use soft modeling and subjective evaluation methods (matrix models). According to the degree of influence on tax environment climate, public authorities are proved to be the most influential subject, while taxpayers are found to be the least influential. Summative value of subjects’ interaction is set as Very Good. It is determined by taxpayers’ data as the best among other subjects. Based on the analysis of dynamics in parameters and activity of interaction subjects it is argued that in order to improve subjects’ interaction productivity, it is appropriate to improve the mechanisms of subjects’ interaction with public authorities of all others.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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