State Financial Support Measures and Risk Factors Affecting the Cost of Investment Projects for the Introduction of Industrial Robotic Complex
https://doi.org/10.26794/2587-5671-2025-29-3-20-34
Abstract
The object of the study is the cost of an investment project for the introduction of an industrial robotics complex (hereinafter referred to as the RTС implementation project). The subject of the study is the factors affecting the cost and effectiveness of the RTС implementation project, including measures of state financial support and the risks of its implementation. The relevance of the study is due to the government’s interest in ensuring the competitiveness and technological independence of the Russian industry based on the development of the robotics industry to achieve the goal set by the President of the Russian Federation of Russia’s entry into the top 25 countries in terms of robotics density by 2030, which requires an assessment of the cost and effectiveness of RTС implementation projects, taking into account government financial support measures and specific risks. The purpose of the study is to determine the impact of government financial support measures and risk factors for the implementation of the RTK project on its investment value and effectiveness. The study employs methods of classification, investment management, risk management, and valuation. The measures of financial state support and risk factors for the implementation of the RTK project are analyzed and their impact on the investment value and effectiveness of the project is characterized. The classification of factors influencing the investment cost of the RTK implementation project is considered. The impact of government financial support measures and tax incentives on the cash flows and financial results of the project is described. A model for calculating the discount rate of the RTK implementation project is proposed, taking into account the risk factors of its implementation (technological, personnel, regulatory, environmental). It is concluded that in order to make a decision on the feasibility of introducing RTK into industrial production, the company must determine the investment cost and basic performance indicators of the project, taking into account the factors considered.
Keywords
JEL: G12, О16, O31
About the Authors
O. V. BorisovaRussian Federation
Ol’ga V. Borisova — Cand. Sci. (Econ.), Assoc. Prof., Department of Corporate Finance and Corporate Governance
Moscow
S. R. Dreving
Russian Federation
Svetlana R. Dreving — Dr. Sci. (Econ.), Assoc. Prof., Prof., Department of Corporate Finance and Corporate Governance
Moscow
O. V. Loseva
Russian Federation
Ol’ga V. Loseva — Dr. Sci. (Econ.), Assoc. Prof., Prof., Department of Corporate Finance and Corporate Governance
Moscow
M. A. Fedotova
Russian Federation
Marina A. Fedotova — Dr. Sci . (Econ.), Prof., Deputy Scientifi c Director
Moscow
References
1. Ilyin K.O., Gubaidullin A.G., Khalfin R.S., Kraevsky N.N. Concept and approaches for assessing the prospects of technological processes robotization in “NK “Rosneft” PJSC. Ekspozitsiya Neft’ Gaz = Exposure Oil & Gas. 2022;(4):48-53. (In Russ.). DOI: 10.24412/2076-6785-2022-4-48-53
2. Vasina M.V., Bogatenko E.R. Robotization in Russia: Problems and prospects of development. Vestnik Tul’skogo filiala Finuniversiteta = Bulletin of the Tula Branch of the Financial University. 2020;(1):276-278. (In Russ.).
3. Mocan B., Fulea M., Olaru M., Buchmüller M. From intuitive programming of robotic systems to business sustainability of manufacturing SMEs. Amfiteatru Economic Journal. 2016;18(41):215-231. URL: https://www.econstor.eu/bitstream/10419/168997/1/aej-v18-i41-p215.pdf
4. Cha Doo-Won. Robots jump into the mobility industry. Hyundai Motor Group. Jan. 21, 2021. URL: https://www.hyundaimotorgroup.com/story/CONT0000000000001671 (accessed on 05.04.2025).
5. Hentout A., Aouache A., Maoudj A., Akli I. Human-robot interaction in industrial collaborative robotics: A literature review of the decade 2008-2017. Advanced Robotics. 2019;33(15-16):764-799. DOI: 10.1080/01691864.2019.1636714
6. Bodin O.N., Bezborodova O.E., Spirkin A.N., Sherstnev V.V. Bionic control systems for mobile robotic complexes. Penza: Penza State University Publ.; 2022. 236 p. (In Russ.).
7. Ptitsyn S.D., Khromova A.V. Definition of the optimal investment project using criteria of economic efficiency. Vektor ekonomiki. 2020;(5):27. (In Russ.).
8. Magomedova K.I. Business project feasibility assessment using performance criteria. Nauchnyi elektronnyi zhurnal Meridian. 2020;(6):144-146. (In Russ.).
9. Kudryashova A.V. Improvement of methods for evaluating the effectiveness of innovative projects. Vestnik universiteta (Gosudarstvennyi universitet upravleniya). 2018;(9):50-54. (In Russ.). DOI: 10.26425/1816-4277-2018-9-50-54
10. Tochilin I.P., Usov S.V., Zhdanov A.V. Multiplicative approaches to calculating the effectiveness of innovative projects. Moscow: Pero Publ.; 2022. 193 p. (In Russ.).
11. Mudrova O. Robotics complex: Payback and advantages. R itm mashinostroeniya = Rhythm of Machinery. 2024;(3):32- 36. URL: https://ritm-magazine.com/ru/magazines/2024/zhurnal-ritm-mashinostroeniya-no-3-2024#page-3738 (In Russ.).
12. Mefodiev V. Yu., Safargaliev M. F. On the preparation and effi ciency of robotics in mechanical processing production. I zvestiya Samarskogo nauchnogo tsentra Rossiiskoi akademii nauk = I zvestiya of Samara Scientifi c Center of the Russian Academy of Sciences. 2025;27(1):24-31. (In Russ.). DOI: 10.37313/1990-5378-2025-27-1-24-31
13. Kuznetsova A. D. Economic effi ciency of the introduction of robotic manipulators into industrial production in developed countries. Molodoi uchenyi = Young Scientist. 2019;(40):58-60. URL: https://moluch.ru/archive/278/62770/ (accessed on 08.04.2025). (In Russ.).
14. Nazarenko S. I., Allenov D. G., Zhed O. V., Kravchenya V. I. Industrial robots and the economic benefi ts of their introduction in production in the Russian Federation. Nauchno-tekhnicheskii vestnik Povolzh’ya = Scientifi c and Technical Volga Region Bulletin. 2021;(6):96-98. (In Russ.).
15. Pishchalkina I. Yu., Tereshko E. K., Suloeva S. B. Quantitative risk assessment of investment projects using digital technologies. N auchno-tekhnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politekhnicheskogo universiteta. Ekonomicheskie nauki = S t. Petersburg State Polytechnical University Journal. Economics. 2021;14(3):125- 137. (In Russ.). DOI: 10.18721/JE.14310
16. Li X.-J. Research on investment risk infl uence factors of prefabricated building projects. Journal of Civil Engineering and Management. 2020;26(7):599-613. DOI: 10.3846/jcem.2020.12917
17. Minasyan V. B. Risk assessment models of the companies implementing R&D projects. Finance: Theory and practice. 2019;23(1):133-146. DOI: 10.26794/2587-5671-2019-23-1-133-146
Review
For citations:
Borisova O.V., Dreving S.R., Loseva O.V., Fedotova M.A. State Financial Support Measures and Risk Factors Affecting the Cost of Investment Projects for the Introduction of Industrial Robotic Complex. Finance: Theory and Practice. 2025;29(3):20-34. https://doi.org/10.26794/2587-5671-2025-29-3-20-34