DYNAMIC MODEL OF THE BUDGET OF AN EDUCATIONAL INSTITUTION
For the study of complex socio-economic systems in a number of cases the method of mathematical modeling is the most acceptable. One of the most famous models in economics is the Keynes model. This model is most widely used in macroeconomic research to regulate the state budget. An important proble...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Science and Innovation Center Publishing House
2024-12-01
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| Series: | Наука Красноярья |
| Subjects: | |
| Online Access: | https://kras-science.ru/jour/index.php/nk/article/view/257 |
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| Summary: | For the study of complex socio-economic systems in a number of cases the method of mathematical modeling is the most acceptable. One of the most famous models in economics is the Keynes model. This model is most widely used in macroeconomic research to regulate the state budget. An important problem is to expand the scope of application of Keynes model by modifying it for budget management in other systems (educational organizations, family). The introduction of digitalization in the management of educational institutions necessitates new approaches to modeling the problem of calculating and optimizing the budget of an educational organization. The problem of developing a modified Keynes model for the university budget is new, important and relevant. The solution to this problem will improve the efficiency of financial management of educational institutions.
Purpose: to develop a dynamic model for distributing the budget of a university based on the modified Keynesian model.
Methodology: modeling, theory of solving differential equations.
Results: a modified Keynes model has been developed, allowing for the calculation and optimization of the budget of educational organizations.
Practical implications: the obtained results can be applied to calculate and optimize the budget of an educational institution, in the management of financial resources of organizations and enterprises. |
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| ISSN: | 2070-7568 2782-3261 |