Математический подход к формированию регулирования отечественных производителей на региональном уровне

Authors

  • Юлия Валентиновна Бондаренко Voronezh State University image/svg+xml
  • Игорь Владимирович Горошко The ministry of internal affairs of the russian federation

DOI:

https://doi.org/10.17308/meps.2016.11/1520

Keywords:

fiscal regulation, entity, rate of the income tax, mathematical model

Abstract

Purpose: Article is devoted to questions of forming of the mechanism of fiscal regulation of the entities of the region founded on use of mathematical tools. Discussion: in the assumption that each separate entity represents difficult, dynamic, active system, authors suggest a region management to be estimates of values of economic indicators of the entity which can be reached in case of specific values of a rate of the income tax the basis for decision making. Such estimates can be received on the basis of implementation of the mathematical model describing forming by a rational management of the entity of an optimum trajectory of development. Results: Authors offered the mechanism of tax regulation allowing to prove need of provision of tax benefits to the specific entity; to determine the maximum size of a rate of the income tax providing achievement of required values of economic indicators of the entity; to calculate control measure values. Results of applied calculations and practical implementation confirmed a possibility of use of the mechanism for increase in efficiency of acceptance of management decisions in the field of fiscal regulation.

Author Biographies

  • Юлия Валентиновна Бондаренко, Voronezh State University

    факультет ПММ, доцент

  • Игорь Владимирович Горошко, The ministry of internal affairs of the russian federation

    начальник кафедры

References

Published

2017-02-15

Issue

Section

Mathematical Methods in Economics

How to Cite

Математический подход к формированию регулирования отечественных производителей на региональном уровне. (2017). Modern Economics: Problems and Solutions, 11, 8-18. https://doi.org/10.17308/meps.2016.11/1520