Fuzzy assessment of the effectiveness of financial support for small and medium-sized businesses
Abstract
The subject of the author's research is elements of the financial support system for SMEs: support tools, infrastructure organizations, SMEs, their relationships, the integrative effect and its assessment. This article is part of research aimed at studying the impact of regional financial support on the activities of SMEs. The purpose of the author's research is to develop a model for assessing the effectiveness of financial support for the activities of SMEs. The impact of government support on the activities of SMEs has been studied by different researchers, various methods for assessing the impact are proposed, and this article uses a mathematical apparatus that is atypical for this area of research. The author proposes to use a fuzzy assessment of the impact of support on the activities of SMEs using the mathematical apparatus of the theory of fuzzy sets, fuzzy logic and a fuzzy inference system. The article presents the developed model of fuzzy assessment of the effectiveness of regional financial support for SMEs. This model is tested on empirical data. The obtained result is compared with other studies, which confirms the quality of the model. A positive assessment of the impact of regional financial support on the activities of SMEs in the Samara region was also given. Assessing the effectiveness of support has important practical significance; it can provide an opportunity to assess the effectiveness of regional economic policy, the distribution of budget funds and the activities of infrastructure organizations.
About the Author
S. V. Andreev
Institute of Finance, Economics and Management of Togliatti State University
Russian Federation
Russian Federation
Sergey V. Andreev – postgraduate student
Togliatti
References
1. Andreev S.V. Assessment of regional financial support for small and medium-sized businesses // Bulletin of the V.N. Tatishchev Volga State University. 2023. Vol. 2, No. 1 (51). Pp. 5–12.
2. Andreev S.V. Analysis of the state of small and medium-sized enterprises in the Samara region // Economy and society. 2023. No. 1 (104). Pp. 140–148.
3. Rating of the RGS of the Samara region [2022]. URL: https://corpmsp.ru/upload/iblock/b97/45dnhmo1gm3lnextix2o0mq93b0iud5a/Samarskaya-oblast.pdf (date of access: 05.02.2023).
4. Accounts Chamber: the current system of strategic planning in the field of SMEs is not balanced. URL: https://ach.gov.ru/checks/sistema-strategicheskogo-planirovaniya-v-sfere-msp (date of access: 05.02.2023).
5. National Investment Rating. URL: https://asi.ru/government_officials/rating/ (date of access: 05.02.2023).
6. Zhemkova A.M. Assessment of the effect of state support on the productivity of firms over the period COVID-19 // HSE Economic Journal. 2023. No. 4. Pp. 481–505.
7. Rykova I.N., Gubanov R.S., Morina V.A. Methodology for rating the effectiveness of state support for agriculture as a tool for reviewing budget expenditures // Vestnik NGIEI. 2022. No. 6. Pp. 81–103.
8. Kholodova M.A. The main directions of improving the mechanisms for the implementation of state support for the agricultural sector // BENEFICIUM. 2022. No. 3. Pp. 73–82.
9. Chertina E.V., Kvyatkovskaya I.Yu., Davidyuk N.V. Features of providing financial support to small business entities of the fishing industry using the production model of the knowledge base // Bulletin of the Astrakhan State Technical University. Ser.: Economics. 2022. No. 4. Pp. 33–42.
10. Lebedeva M.E. Fuzzy logic in economics – the formation of a new direction // Ideas and ideals. 2019. Vol. 11, No. 1-1. Pp. 197–212.
11. Rubanov V.G., Filatov A.G., Rybin I.A. Intelligent automatic control systems. Fuzzy control in technical systems. URL: http://nrsu.bstu.ru/ (date of access: 20.10.2023).
12. Unified register of small and medium–sized businesses recipients of support. URL: https://rmsp-pp.nalog.ru/statistics-report.html (date of access: 05.02.2023).
13. Shigilcheva S.A., Zadorova T.V., Khristoforova A.V. Assessment of the impact of state support measures on the financial stability of enterprises // Bulletin of the Udmurt University. 2022. Vol. 32, No. 3. Pp. 482–487.
14. Ayyagari M., Juarros P., Soledad Martinez Peria M., Singh S. Access to Finance and Job Growth: FirmLevel Evidence across Developing Countries // Review of Finance. 2021. Vol. 25, No. 5. Pp. 1473–1496.
15. Shorokhova I.S., Kislyak N.V., Mariev O.S. Statistical methods of analysis : textbook. Yekaterinburg : Publishing House of the Ural University, 2015. 300 p.
16. Vasiliev V.I., Chernyakhovskaya L.R., Vulfin A.M. Modeling of innovation management processes in the region using fuzzy cognitive maps // Bulletin of the Astrakhan State Technical University. Ser.: Management, Computer Engineering and Computer Science. 2020. No. 3. Pp. 15–25.
Review
For citations:
Andreev S.V. Fuzzy assessment of the effectiveness of financial support for small and medium-sized businesses. Vestnik of Samara State University of Economics. 2024;(3):30-39. (In Russ.)
Views:
5
Email this article 