Factor-based modeling and forecasting of innovation activity in manufacturing

This study aims to develop a fit-for-purpose model of the manufacturing innovation activity index for quantitatively assessing changes in sectoral innovation development over time. The analysis focuses on manufacturing, one of the core sectors of the Russian economy. The study integrates scenario matrices with tools for quantifying the fiscal effects associated with the integration of government information systems. A multiple linear regression model is estimated for the manufacturing innovation activity index. The model can be used by federal economic agencies, executive authorities in the constituent entities of the Russian Federation, development institutions, corporations, and expert communities when developing and adjusting tax policy, drafting regulations, and supporting investment projects in manufacturing industries.

1. Karpova S.V., Pogodina T.V. Import substitution in the high-tech sector as a factor of sustainable development and modernization of the Russian transport complex. Economics, Taxes and Law. 2024;17(3):48–57. (In Russ.). https://doi.org/10.26794/1999-849X-2024-17-3-48-57

2. Galushko D.V., Kiselev A.S., Ostroushko A.V. Financial and legal instruments for ensuring the technological sovereignty of priority sectors of the economy of the Russian Federation. Finance: Theory and Practice. 2026;30(2):63–77. (In Russ.). https://doi.org/10.26794/2587-5671-2026-30-2-63-77

3. Mitenkov A.V., Eliseeva E.N. Evolution of innovation ecosystems and business transformation. Bulletin of the South-Russian State Technical University (NPI). Series: Socio-Economic Sciences. 2024;17(2):154–165. (In Russ.). https://doi.org/10.17213/2075-2067-2024-2-154-165

4. Porter M.E. Competitive strategy techniques for analyzing industries and competitors. The Free Press; 1980. 420 p.)

5. Den Hertog P., Remoe S. Innovative Clusters: Drivers of National Innovation Systems. Paris: OECD Publishing; 2001. 419 p. https://doi.org/10.1787/9789264193383-en

6. Shakhovskaya L.S., Goncharova E.V. Clusters as a format for innovative development of the regional economy under sanctions. Regionalnaya ekonomika. Yug Rossii = Regional economy. The South of Russia. 2022;10(4):53–61. (In Russ.). https://doi.org/10.15688/re.volsu.2022.4.5

7. Klemm A., Van Parys S. Empirical evidence on the effects of tax incentives. International Tax and Public Finance. 2012;19:393–423.

8. Polezharova L.V., Volkov D.M. Foreign experience of fiscal mechanisms of preferential economy. Economics Taxes and Law. 2024;17(4):145–154. (In Russ.). https://doi.org/10.26794/1999-849X-2024-17-4-145-154

9. Pinskaya M.R., Kostin A.A., Avetisyan S.A., Mangasaryan R.Ya., Minasyan M.M. Differentiation of the tax burden based on the size of small and medium-sized businesses. Finance: Theory and Practice. 2026;30(1):174–187. https://doi.org/10.26794/2587-5671-2026-30-1-174-187

10. Dyachkova D.E., Goncharenko M.A., Goncharenko L.I. Comparative analysis of fiscal mechanisms in special economic zones: The experience of Russia and foreign countries. Finance: Theory and Practice. 2026;30(2):90–107. https://doi.org/10.26794/2587-5671-2026-30-2-90-107

11. Zasko V.N., Dontsova O.I. Theoretical and methodological tracks for building econometric models of tax policy diversification. Russian Journal of Industrial Economics. 2025;18(4):505–517. (In Russ.). https://doi.org/10.17073/2072-1633-2025-4-1521

12. Goncharenko L.I., Advokatova A.S. Tax policy’s 2026–2028: New trends and measures for national goals accomplishment. Economics, Taxes and Law. 2026;19(1):154–169. (In Russ.). https://doi.org/10.26794/1999-849X-2026-19-1-154-169

13. Buletova N.E., Gubin A.M. Modeling of interregional integration processes: cluster approach amidst digitalization. Russian Journal of Innovation Economics. 2023;13(1):521–534. (In Russ.). https://doi.org/10.18334/vinec.13.1.117060

14. Valinurova L.S., Oreshnikov V.V. An approach to modeling a regional innovation activities.Vestnik Permskogo universiteta. Seriya: Ekonomika. 2023;18(3):275–291. (In Russ.). https://doi.org/10.17072/1994-9960-2023-3-275-291

15. Ketova N.P., Ovchinnikov V.N. Regional innovation clusters management efficiency. Science Governance and Scientometrics. 2023;18(1):63–87. (In Russ.). https://doi.org/10.33873/2686-6706.2023.18-1.63-87

16. Raiskaya M.V., Aksyanova A.V. Methodology for assessing the effectiveness of innovation processes in medium-tech manufacturing industries of the Russian Federation. Russian Journal of Innovation Economics. 2023;13(4):2059–2074. (In Russ.). https://doi.org/10.18334/vinec.13.4.119581

17. Mitenkov A.V., Kondrakov O.V., Kuzmina A.A. The innovative potential and resource base of industry: The economic aspect of the possibilities of Siberia and the Far East. Ekonomika i upravlenie: problemy, resheniya. 2025;4(9):127–134. (In Russ.). https://doi.org/10.36871/ek.up.p.r.2025.09.04.014

18. Matrizaev B.J. The research of comparative characteristics and functional features of the co-integration of technological innovations and business activity and their impact on the formation of macroeconomic dynamics. Finance: Theory and Practice. 2023;27(6):31–43. (In Russ.). https://doi.org/10.26794/2587-5671-2023-27-6-31-43

19. Demidova S.Y., Vasyunina M.L. Financial mechanisms for achieving technological sovereignty: Assessing the impact of R&D expenditures. Finance: Theory and Practice. 2026;30(2):78–89. https://doi.org/10.26794/2587-5671-2026-30-2-78-89

20. Goncharenko L.I. Diversification of the tax system as a factor in the implementation of national development projects in Russia. Economics, Taxes and Law. 2025;18(3):144–154. (In Russ.). https://doi.org/10.26794/1999-849X-2024-18-3-144-154

21. Polozkov M.G., Andreev E.V., Zharnitskii V.Ya., Bayuk O.A. Technological entrepreneurship as a tool for the transition to an innovative type of economic development. Economics, Taxes and Law. 2022;15(5):67–77. (In Russ.) https://doi.org/10.26794/1999-849X-2022-15-5-67-77