Dynamic model of inter-industry balance as a tool for monitoring and evaluating the effectiveness of strategic planning of integrated structures.

Relevance. The current stage of development of the Russian economy is characterised by a complex external economic and political situation and severe sanctions pressure from the European Union and the United States of America. Therefore, it will be beneficial to enhance the quality of strategic planning in view of available resources, their optimal use, as well as to monitor the efficiency and effectiveness of achieving planned indicators and explore potential reserves. Subject. A dynamic model of   inter-sectoral balance can become a tool for strategic planning and control that is so exactly necessary in this situation. Analysis of the historical experience of using such a balance in the process of strategic planning has shown that the method under study   was quite effective, and its revival —both at the level of the economy of large economic entities of a new formation (integrated structures) and the economy of the country as a whole —can be facilitated by the rapid development of information technologies and artificial intelligence. The objective of the study is to adapt the theoretical developments of the Soviet period in the field of building a dynamic inter-industry balance to the modern conditions of strategic planning and control in integrated structures. In the course of the work, the author used common scientific methods of cognition such as observation and generalization, system analysis and synthesis, as well as individual economic and mathematical methods and models. The article explores the possibilities of a dynamic inter-sectoral balance model as a means to control and evaluate the effectiveness of strategic planning in integrated structures. The theoretical basis of the research is drawn from the works of V.S. Nemchinov and N.I. Veduta, who have developed the concept of a dynamic inter-sectoral balance. The integrated structure of the aviation manufacturing industry has been chosen as the object of analysis. The results of the author’s work can be of use for specialists in internal control and audit of large corporate structures, who build methodological basis for strategic planning and forecasting, as well as for state executive authorities involved in developing the regulatory framework in this field.

1. Немчинов В. С. Экономико-математические методы и модели. М.: «Мысль»; 1965. 478 с.

2. Ведута Н. И. Экономическая кибернетика. Очерки по вопросам теории. Минск: Наука и техника; 1971. 318 с.

3. Ведута Н. И. Социально-эффективная экономика. Ведута Е. Н., ред. М: Издательство РЭА; 1999. 254 с.

4. Баланс народного хозяйства Союза ССР 1923–24 г. Попов П. И., ред. URL: https://istmat.org/files/uploads/40401/balans_1923__24.pdf

5. Леонтьев В. В. Межотраслевая экономика. Москва: Экономика; 1997. 479 с.

6. Леонтьев В. В. Избранные произведения. Т. 1. М.: Экономика; 2006. 408 с.

7. Леонтьев В. В. Избранные произведения. Т. 2. М.: Экономика; 2006. 544 с.

8. Ивантер В. В. Роль межотраслевого баланса в макроэкономическом анализе и прогнозировании. Проблемы прогнозирования. 2018;(6):3–6.

9. Ведута Е. Н., Ерицян Г. А. Кибернетическое планирование в системе обеспечения экологической и экономической безопасности. Государственное управление. Электронный вестник. 2023;(99):175– 187. DOI: 10.24412/2070-1381-2023-99-175-187

10. Филимонов А. П. Анализ современных тенденций развития стратегического планирования. Экономика, предпринимательство и право. 2024;14(12):7095–7112. DOI: 10.18334/epp.14.12.122417

11. Ветрова И. Ф. Стратегический контроль эффективности мер государственной поддержки оборонно-промышленного комплекса в условиях санкционных ограничений. Учет. Анализ. Аудит . 2023;10(5):61–71. DOI: 10.26794/2408-9303-2023-10-5-61-71