Статьи

A MODEL FOR ASSESSING THE IMPACT OF TARIFF CHANGES ON THE COMPANY'S FINANCIAL RESULTS

Received: 30.09.2025 Accepted: 07.10.2025 Published: 15.01.2025

Full text

Abstract

The relevance of the topic. The most effective approach to studying and forecasting intersectoral economic relations is to use models that are modified versions of well-known input-output balance models. The methodological aspect is to develop a new model that is a modification of the existing semi-dynamic input-output balance model. Purpose. The analysis of existing models and plans, as well as the process of digitalization of the company's economic development, confirms the need to create a comprehensive model. This model should take into account the dependence of income and expenses on product tariffs, as well as the elasticity of demand for services and the impact of tariffs on the prices of consumed resources, which is determined by the structure of intersectoral relations. Methodology. To achieve the research objectives, complex methods were used, including a systematic analysis of existing simulation models designed for operational management of the company, as well as mathematical modeling methods. Results and conclusions. The research results formed the basis for creating a model that visualizes the distribution of products in three key areas: meeting current production needs, financing capital investments in the creation of production assets, and final consumption. The model has a three-block structure, where each block is closely connected to the others. The first block is responsible for the balance of production and distribution of products. The second block covers the balances of enterprises' income and expenses, as well as the algorithms for profit distribution. The third block models the process of transforming production investments into new capacities and describes the dynamics of fixed assets and production potential. Scope of application. Research results can serve as a basis for constructing and modernizing the methodological apparatus of operational management in modern corporations.

Keywords

Received: 30 September 2025 · Accepted: 7 October 2025

How to cite

Для цитирования:

Лапшина М.Л., Золотухина О.О., Макаров Е.И., и др. МОДЕЛЬ ОЦЕНКИ ВЛИЯНИЯ ИЗМЕНЕНИЯ ТАРИФОВ НА ФИНАНСОВЫЕ РЕЗУЛЬТАТЫ КОМПАНИИ // Регион: системы, экономика, управление. 2025. Т. 1, № 3 (70). С. 192–197.

For citation:

Lapshina M.L., Zolotukhina O.O., Makarov E.I., et al. A MODEL FOR ASSESSING THE IMPACT OF TARIFF CHANGES ON THE COMPANY’S FINANCIAL RESULTS // Region: Systems, Economics, Management. 2025. Vol. 1, no. 3 (70). P. 192–197.

How to Cite

Lapshina M.L., Zolotukhina O.O., Makarov E.I., et al. A MODEL FOR ASSESSING THE IMPACT OF TARIFF CHANGES ON THE COMPANY’S FINANCIAL RESULTS // Region: Systems, Economics, Management. 2025. Vol. 1, no. 3 (70). P. 192–197.

References

  1. Коссов В. В. Межотраслевые модели / В. В. Коссов. — М. : Экономика, 1972. — 128 с.
  2. Айвазян С. А. Интеллектуализированные инструментальные системы в статистике и их роль в построении проблемно-ориентированных систем поддержки принятия решений / С. А. Айвазян // Обозрение прикладной и промышленной математики. — 1997. — Т. 4. Вып. 4. — С. 58—64.
  3. Ален Р. Математическая экономика / Р. Ален. — М., 1963. — 216 с.
  4. Ланкастер К. Математическая экономика / К. Ланкастер. — М. : Сов. Радио, 1972. — 102 с.
  5. Grossman G. Dynamic R&D Competition / G. Grossman, C. Shapiro // Econom. J. — 1987. — V. 97. № 339. — P. 78—82.
  6. Hertel S. Space sweep solves intersection of two convex polyhedron elegantly / S. Hertel, K. Mehlhorn, J. Nievergeit // Acta Informatica, 21. — 1984. — P. 501—519.
  7. Johnston J. Econometric Methods / J. Johnston, J. DiNardo. — N. Y. : The Mcgraw-Hill Companies, Inc., 1997. — 240 p.
  8. Lee D. T. Geometric complexity of some location problems, Algorithmica, 1 / D. T. Lee, Y. F. Wu. — 2006. — P. 193—211.
  9. Lemareshal C. New Variants of Bundle Methods / C. Lemareshal, A. Nemirovskii, Yu. Nesterov // Mathematical Programming. Serios B. — 2005. — V. 69. No. 1. — P. 67—77.
  10. Баркалов П. С. Задачи распределения ресурсов в управлении проектами / П. С. Баркалов, И. В. Буркова, А. В. Глаголев, В. Н. Колпачев. — Москва : ИПУ РАН, 2002. — 65 с.
  11. Kossov V. V. Interindustry models / V. V. Kossov. — Moscow : Economics, 1972. — 128 p.
  12. Ayvazyan S. A. Intellectualized instrumental systems in statistics and their role in building problem-oriented decision support systems / S. A. Ayvazyan // Survey of Applied and Industrial Mathematics. — 1997. — T. 4. Vyp. 4. — P. 58—64.
  13. Alain R. Mathematical Economics / R. Alain. — Moscow, 1963. — 216 p.
  14. Lancaster K. Mathematical Economics / K. Lancaster. — Moscow : Sov. Radio, 1972. — 102 p.
  15. Grossman G. Dynamic R&D Competition / G. Grossman, C. Shapiro // Econom. J. — 1987. — V. 97. № 339. — P. 78—82.
  16. Hertel S. Space sweep solves intersection of two convex polyhedron elegantly / S. Hertel, K. Mehlhorn, J. Nievergeit // Acta Informatica, 21. — 1984. — P. 501—519.
  17. Johnston J. Econometric Methods / J. Johnston, J. DiNardo. — N. Y. : The Mcgraw-Hill Companies, Inc., 1997. — 240 p.
  18. Lee D. T. Geometric complexity of some location problems, Algorithmica, 1 / D. T. Lee, Y. F. Wu. — 2006. — P. 193—211.
  19. Lemareshal C. New Variants of Bundle Methods / C. Lemareshal, A. Nemirovskii, Yu. Nesterov // Mathematical Programming. Serios B. — 2005. — V. 69. No. 1. — P. 67—77.
  20. Barkalov P. S. Resource allocation problems in project management / P. S. Barkalov, I. V. Burkova, A. V. Glagolev, V. N. Kolpachev. — Moscow : IPU RAS, 2002. — 65 p.