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Budget Processes Modeling: Agent-Based Approach
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Управление в социальных и экономических системах,  Математическое моделирование, численные методы и комплексы программ,  Экономика и управление народным хозяйством,  Математические и инструментальные методы экономики,  Философия науки и техники,  Социальная философия
UDC
33 Экономика. Народное хозяйство. Экономические науки
Publisher
State Academic University for the Humanities
Date of publication
30.06.2023
Public year
2023
DOI
10.18254/S207751800025645-8
Budget Processes Modeling: Agent-Based Approach
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Annotation

The financial and economic crisis caused by anti-Russian sanctions and geopolitical tensions necessitates an increase in budget expenditures at all levels, in connection with which the issues of improving the fiscal system and reorganizing interbudgetary relations are being updated. To develop plans for adapting to current challenges, achieving the goals of fiscal stability and improving economic performance, transformations in the field of budget processes, the implementation of an effective fiscal policy, and a rethinking of the principles of fiscal federalism are necessary. Achieving this goals predetermines the need to use flexible budget analysis tools, such as agent-based modeling, which allows to reproduce the multi-level structure of the country's economy and budget system, as well as simulate complex budget processes. The article presents an overview of agent-based models developed by foreign and Russian researchers that reproduce various aspects of budgetary processes. The analysis of the architecture of models was carried out and the conceptual ideas of building models in accordance with the types of agents, their behavioral algorithms, as well as the goals of simulation modeling were considered. The expediency and efficiency of using the agent-based approach for modeling complex budgetary processes is substantiated. The analysis carried out in the article allows us to conclude that the agent-based simulation approach is successfully used for the following purposes: testing variable strategies for reforming budgetary processes, predicting the consequences of implementing fiscal policy, choosing the optimal strategy aimed at achieving budgetary self-sufficiency of the regions, as well as creating tools for assessing the effective allocation of budgetary funds to achieve target variables. The results of the study are proposed to be used for agent-based modeling of sanctions effects and search for strategies for reforming the fiscal system in order to counter the financial and economic crisis.

Artificial societies. 2023 Issue 2
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About authors
Alina Ageeva
Central Economics and Mathematics Institute of RAS
References

1. Asadullina A. V. Agent-orientirovannaya model' vertikal'noj konkurentsii v byudzhetnoj sisteme // Iskusstvennye obschestva. 2014, T. 9, № 1-4

2. Bakhitova R.Kh. Model' odnokanal'noj byudzhetnoj sistemy v Kitajskoj Narodnoj Respublike // Problemy vostokovedeniya. 2013. №4 (62). S. 9-12.

3. Biryukov A.N. Byudzhetno-nalogovoe administrirovanie: nejrosetevye metody issledovanij. M: ANO "Nauchno-issledovatel'skij institut istorii, ehkonomiki i prava" 2018. S. 147

4. Gafarova E.A., Zelenova E.V. Agentnaya model' dlya otsenivaniya posledstvij upravlencheskikh reshenij v zhilischno-kommunal'noj sfere (na primere g. Sterlitamak) // Gosudarstvennoe upravlenie. Ehlektronnyj vestnik. 2011, № 29

5. Gizatov N. R., Zul'karnaj I. U. Agent-orientirovannoe modelirovanie v reshenii zadach ehkonomicheskogo federalizma // Iskusstvennye obschestva. 2009, T. 4, № 1-4

6. Zlobin A. Defitsit byudzheta po itogam 2022 g. stal odnim iz krupnejshikh v istorii Rossii // URL: https://www.forbes.ru/finansy/483568-deficit-budzeta-po-itogam-2022-goda-stal-odnim-iz-krupnejsih-v-istorii-rossii

7. Zul'karnaj I. U., Bakhitova R. Kh., Akhunov R. R. Kontseptual'naya skhema sistemy agent-orientirovannykh modelej v oblasti gosudarstvennykh finansov // Vestnik Bashkirskogo universiteta. 2014, T.19, № 2

8. Zul'karnaj I.U. Zadacha agent-orientirovannogo modelirovaniya raspredeleniya funktsij po vertikali v assimetrichnoj federatsii // Vestnik Bashkirskogo universiteta. 2014, T. 19, № 4

9. Zul'karnaj I. U. Modelirovanie gorizontal'noj konkurentsii yurisdiktsij // Iskusstvennye obschestva. 2014, T. 9, № 1-4

10. Makarov V.L., Bakhtizin A.R., Sushko E.D. Komp'yuternoe modelirovanie vzaimodejstviya mezhdu munitsipalitetami, regionami, organami gosudarstvennogo upravleniya // Problemy upravleniya. 2013, № 6

11. Novikova T.S. Problemy optimal'nogo nalogooblozheniya v prostranstvennoj agent-orientirovannoj modeli // Trudy 41-oj Mezhdunar. Nauch. shkoly-seminara. «Sistemnoe modelirovanie sotsial'no-ehkonomicheskikh protsessov»: Voronezh. 2018. S. 49-52.

12. Novikova T. S., Tsyplakov A. A. Razrabotka sotsial'noj politiki na osnove sochetaniya agent-orientirovannogo i mezhotraslevogo podkhodov // Zhurnal Novoj ehkonomicheskoj assotsiatsii. 2021, №4 (52)

13. Ramazanov R. R. Agentnoe modelirovanie stimulov byudzhetnogo federalizma // Doklady Bashkirskogo universiteta. 2019, Tom 4, №1.

14. Ramazanov R. R. Agent-orientirovannaya model' federativnykh otnoshenij // Doklady Bashkirskogo universiteta. 2017, Tom 2, №4

15. Ramazanov R. R. Agent-orientirovannoe modelirovanie unitarnogo i federativnogo gosudarstvennogo regulirovaniya ehkonomiki // Vestnik UGNTU. Seriya ehkonomika. 2017, № 4 (22)

16. Ramazanov R. R. Agentnoe modelirovanie mezhbyudzhetnykh otnoshenij Kitaya // Iskusstvennye obschestva. 2018. T. 13. Vyp. 4.

17. Ramazanov R. R. Imitatsionnyj analiz fiskal'nykh modelej Kitaya // Iskusstvennye obschestva. 2019. T. 14. Vyp. 4.

18. Suslov V. I., Domozhirov D. A., Ibragimov N. M., Kostin V. S., Mel'nikova L. V., Tsyplakov A. A. Agent-orientirovannaya mnogoregional'naya model' «zatraty–vypusk» rossijskoj ehkonomiki // Ehkonomika i matematicheskie metody. 2016, T. 52, №1

19. Suslov V.I., Novikova T.S., Tsyplakov A.A. Modelirovanie roli gosudarstva v prostranstvennoj agent-orientirovannoj modeli // Ehkonomika regiona. 2016, T. 12, № 3

20. Sushko E.D. Mul'tiagentnaya model' regiona: kontseptsiya, konstruktsiya i realizatsiya / Preprint № WP/2012/292. M.: TsEhMI RAN, 2012. 54 s.

21. Assenza T., Colzani P., Delli Gatti D., Grazzini J. Does fiscal policy matter? Tax, transfer, and spend in a macro ABM with capital and credit // Industrial and Corporate Change. 2018. Vol. 27, p. 1069 – 1090.

22. Dweck E., Vianna M., Barbosa A. Discussing the role of fiscal policy in a demand-led agent-based growth model // EconomiA, Elsevier: Amsterdam. 2020. Vol. 21, Iss. 2, pp. 185-208.

23. Guerrero O.A., Castañeda G., Trujillo G., Hackett L., Chávez-Juárez F. Subnational sustainable development: The role of vertical intergovernmental transfers in reaching multidimensional goals // Socio-Economic Planning Sciences. 2022. V.83. 101155.

24. Taghawi-Nejad D. An agent-based model to understand the effect of interactions between federal, state and local governance on the distribution of educational and health policy outcomes / Conference Paper. 2015. P.5.

25. Zia A., Koliba C. Dynamics of Intergovernmental Networks: Harnessing Agent-based modeling // Journal on Policy and Complex Systems. 2017. Vol.3, No 2. P. 49-72.

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