A DIGITAL PLATFORM AS A TOOL FOR STATE ADMINISTRATION, MONITORING AND EFFECTIVENESS ASSESSMENT OF PREFERENTIAL REGIMES IN RUSSIAN REGIONS

Abstract

The paper substantiates a conceptual approach to building a unified digital platform for state administration of preferential regimes (advanced development territories, special economic zones, the Vladivostok free port) in Russian regions. The relevance of the study stems from persistent information fragmentation among existing support systems and uneven outcomes across regimes: by the end of 2025 the aggregate effectiveness of Russian SEZs reached 94% (up from 90% a year earlier), while regional audit bodies show that individual advanced development territories fall well short of investment-agreement targets – residents of the Zarinsk and Novoaltaysk territories in the Altai Krai created only 82% and 54% of planned jobs, respectively, over seven years. This gap calls for continuous, rather than retrospective, digital verification at the level of a single resident. The study draws on platform-economy theory (multi-sided markets, network effects) and treats the regional administration system for preferential regimes as an institutional platform connecting public authorities, residents and development institutions. The paper systematises existing information systems supporting preferential regimes, proposes a five-layer conceptual architecture for a regional digital platform, and substantiates a methodology for applying machine-learning algorithms to early risk detection of inefficient tax-benefit use. Using verifiable official data, the study performs a set of calculations: target values for Altai Krai ADT residents are reverse-engineered from published completion rates (aggregate completion rate ≈69.3%); for the Novgorod SEZ, the lag between investment execution and job creation is estimated at ≈24 percentage points; and a four-year series (2022-2025) shows the aggregate federal SEZ effectiveness indicator fluctuating around one level (mean 92.5%, SD ≈1.6 p.p.) rather than trending upward. These calculations underpin an applied early-warning threshold indicator. The findings may be used by authorities to improve the management of preferential regimes.

Keywords: public administration, machine learning, special economic zones, platform economy, predictive analytics, preferential regimes, regional economy, network effects, lead territories, digital platforms

Funding: the research had no sponsorship (own resources).

References

• Schetnaya palata ocenila effektivnost' preferencial'nyh rezhimov DFO [The Accounts Chamber assessed the effectiveness of preferential regimes in the Far Eastern Federal District.] (2025). 1prime. (In Russ.). URL: https://1prime.ru/20250225/palata-855219254.html (accessed on 04.08.2026).
• NEoperezhayushchee razvitie: Schetnaya palata ocenila rabotu TOR v Zarinske i Novoaltajske [NON-progressive development: the Accounts Chamber assessed the work of the special economic zones in Zarinsk and Novoaltaysk] (2026). Tolknews. (In Russ.). URL: https://tolknews.ru/ekonomika/218779-naskolko-effektivna-rabota-rezidentov-tor-v-zarinske-i-novoaltayske (accessed on 04.08.2026).
• Effektivnost' raboty OEZ po itogam 2025 goda sostavila 94% [The efficiency of the SEZ's operations in 2025 amounted to 94%] (2026). 1prime. (In Russ.). URL: https://1prime.ru/20260717/effektivnost-871587982.html (accessed on 05.08.2026).
• Lafuente E., Ács Z.J., Szerb L. Analysis of the Digital Platform Economy around the World: A Network DEA Model for Identifying Policy Priorities // Journal of Small Business Management. 2024. Vol. 62(2). Pp. 847-891. DOI: 10.1080/00472778.2022.2100895
• Tomilina N.S., Popov A.A. Development of Information System of Public Administration of Preferential Regimes in Russia // Vestnik Nauki. 2023. Vol. 1(12-69). Pp. 201-206. (In Russ.).
• Trifonov V.A. Using Digital Platforms to Increase the Effectiveness of Preferential Regimes // Corporate Governance and Innovative Economic Development of the North. Bulletin of Research Center of Corporate Law, Management and Venture Investment of Syktyvkar State University. 2025. Vol. 5(2). Pp. 138-150. (In Russ.). DOI: 10.34130/2070-4992-2025-5-2-138
• Markov A.D., Chirkunova E.K. The Role of Digital Platforms in Regional Development (Example of the Volga Federal District) // Science Governance and Scientometrics. 2024. Vol. 19(2). Pp. 384-423. (In Russ.). DOI: 10.33873/2686-6706.2024.19-2.384-423
• Safiullin M.R., Gurianov A.I. Penetration Rate of the Digital Platform Industry in the Regional Economy: Modeling and Analysis of Factors // Intellect. Innovations. Investments. 2026. Vol. 1. Pp. 76-89. (In Russ.). DOI: 10.25198/2077-7175-2026-1-76
• Mirolubova T.V., Radionova M.V. Digital Transformation and its Impact on the Socio-Economic Development of Russian Regions // Economy of Regions. 2023. Vol. 19(3). Pp. 697-710. (In Russ.). DOI: 10.17059/ekon.reg.2023-3-7
• Mirolubova T.V., Radionova M.V. Assessing the Impact of the Factors in the Digital Transformation on the Regional Economic Growth // Russian Journal of Regional Studies. 2021. Vol. 29(3). Pp. 486-510. (In Russ.). DOI: 10.15507/2413-1407.116.029.202103.486-510
• Kirichenko Yu.A. Impact of Economic Digitalization on the Socio-Economic Development of the Region (using the Republic of Tatarstan as an Example) // The Eurasian Scientific Journal. 2023. Vol. 15(3). (In Russ.).
• Trapeznikova I.S., Trapeznikova Zh.E. Analysis of Territorial Disproportions in the Level of Industrial Digitalization in the Regions of Russia, Taking into Account Industry Specifics // π-Economy. 2024. Vol. 17(5). Pp. 88-98. (In Russ.). DOI: 10.18721/JE.17505
• Yang L. Predictive Modeling of Tax Compliance Risks: A Comparative Study of Machine Learning Approaches // PLOS ONE. 2025. Vol. 20(9). DOI: 10.1371/journal.pone.0331715
• Liu L., Feng Y. Government Digital Governance and Corporate Investment Efficiency // Finance Research Letters. 2025. Vol. 77. DOI: 10.1016/j.frl.2025.107018
• Chen S., Wang X., Gan T., Gui G. The Effect of Digital Government on Corporate Total Factor Productivity // PLOS ONE. 2024. Vol. 19(9). DOI: 10.1371/journal.pone.0308093
• Sozdanie sistemy s cel'yu gosudarstvennogo upravleniya preferencial'nymi rezhimami [Creation of a System for State Management of Preferential Regimes] (2026). The Ministry of Finance of the Russian Federation. (In Russ.). URL: https://minfin.gov.ru/ru/perfomance/projects/creation_system_purpose_state_administration_preferential_regimes (accessed on 06.08.2026).
• The Novgorodskaya Special Economic Zone of the industrial-production type. [Osobaya ekonomicheskaya zona promyshlenno-proizvodstvennogo tipa "Novgorodskaya"] (2026). The Agency for Development of Novgorod region. (In Russ.). URL: https://novgorodinvest.ru/info/osobaya-ekonomicheskaya-zona-promyshlenno-proizvodstvennogo-tipa-novgorodskaya.php (accessed on 06.08.2026).
• Materialy o nalogovom monitoringe [Materials on Tax Monitoring] (2026). Federal Tax Service of Russia. (In Russ.). URL: https://www.nalog.gov.ru (accessed on 07.08.2026).
• Investicii rezidentov OEZ "Novgorodskaya" prevysili 4.2 mlrd rublej [Investments by residents of the Novgorodskaya SEZ exceeded 4.2 billion rubles] (2026). TASS. (In Russ.). URL: https://tass.ru/ekonomika/27328351 (accessed on 07.08.2026).

About the Authors

Nikita V. Alekseev – Technical Director, LLC "DNA OF ARTIFICIAL INTELLIGENCE", Saint Petersburg, Russia. E-mail: nikita.alekseev.201@yandex.ru. ORCID 0009-0008-6130-1399. ResearcherID QXJ-9717-2026.

Vladimir A. Trifonov – Cand. Sci. (Economics), Docent; Director of the Institute of Economy, Yaroslav-the-Wise Novgorod State University, Veliky Novgorod, Russia. E-mail: tva@novsu.ru. SPIN RINTS 5029-7384. ORCID 0000-0003-2815-3749.

For citation: Alekseev N.V., Trifonov V.A. A Digital Platform as a Tool for State Administration, Monitoring and Effectiveness Assessment of Preferential Regimes in Russian Regions // BENEFICIUM. 2026. Vol. 3(60). Pp. 6-15. (In Russ.). DOI: 10.34680/BENEFICIUM.2026.3(60).6-15