DOI: 10.33917/es-2.206.2026.6-13

Strengthening of the vertical structure of federal governance in our country in recent years has encountered resistance in a number of Russian regions, which still remains latent. The article, based on general systems theory, proposes measures to maintain stability of the political regime’s power institutions in the face of active counteraction centers: control of financial and commodity flows, transport and communication channels that allows to cut off supply of resources to destructive forces, block their interaction within a region, between regions and with foreign control and support centers, preserving the possibility of the federal center to operate on sentiments of the local elites and large groups of population.

References:

1. Ageev A.I., Bakhtizin A.R., Makarov V.L., Loginov E.L., Khabriev B.R. Ekonomicheskiy fundament pobedy: strategicheskiy prognoz ustoychivosti ekonomiki Rossii v usloviyakh sanktsionnykh atak [Economic Foundation of Victory: a Strategic Forecast for the Russian Economy Stability in the Face of Sanctions]. *Ekonomicheskie strategii,* 2023, vol. 25, no 3(189), pp. 6—15, DOI: https://doi.org/10.33917/es-3.189.2023.6-15

2. Ageev A.I., Grabchak E.P., Loginov E.L. Novaya model’ upravleniya ekonomikoy Rossii v usloviyakh gibridnykh riskov i ugroz [New Model of the Russian Economy Management in the Context of Hybrid Risks and Threats]. *Ekonomicheskie strategii,* 2025, vol. 27, no 5(203), pp. 6—19, DOI: https://doi.org/10.33917/es-5.203.2025.6-19

3. Loginov E.L., Matveev A.G., Shkuta A.A. Opredelenie parametrov lokalizovannykh sostoyaniy neyavnykh grupp s sobstvennoy komponentoy aktivnogo povedeniya, ne sovpadayushchego s vektorom deystviy gosudarstvennoy supersistemy [Determination of the Parameters of Localized States of Implicit Groups with Their Own Component of Active Behavior That does not Coincide with the Vector of Actions of the State Supersystem]. *Iskusstvennye obshchestva,* 2019, vol. 14, no 1, p. 5.

4. Loginov E.L. Ispol’zovanie tekhnologiy Big Data dlya protivodeystviya massovym besporyadkam v usloviyakh nedostatka informatsii i neopredelennosti razvitiya situatsii: Iskusstvennyy intellekt (bol’shie dannye) na sluzhbe politsii: Sb. statey Mezhdunarodnoy nauchno-prakticheskoy konferentsii [Using Big Data Technologies to Counter Mass Unrest in Conditions of Information Shortage and Uncertainty of the Situation Development: Artificial Intelligence (Big Data) in the Service of the Police: Collection of Articles from the International Scientific and Practical Conference]. M.: Akademiya upravleniya Ministerstva vnutrennikh del Rossiyskoy Federatsii, 2020. S. 145—150.

5. Loginov E.L. Perekhvat upravleniya slozhnymi organizatsionnymi sistemami v usloviyakh razmyvaniya granits mezhdu fizicheskimi, kognitivnymi i tsifrovymi prostranstvami deyatel’nosti i sredami upravleniya [Taking Control of Complex Organizational Systems in the Context of Blurring Boundaries between Physical, Cognitive, and Digital Activity Spaces and Management Environments]. *Ekonomika: teoriya i praktika,* 2024, no 1(73), pp. 3—10.

DOI: 10.33917/mic-2.127.2026.5-11

The article examines the challenges of maintaining clusters of organizational and economic agents using a digital «twin» of the organizational and economic agent, operating within a distributed network of control centers to ensure the sustainability of digital institutional management structures within the economic supersystem of the Union State of Russia and Belarus.

References:

1. Ageev A.I., Bakhtizin A.R., Makarov V.L., Loginov E.L. [et al.] The economic foundation of victory: a strategic forecast of the stability of the Russian economy in the face of sanctions attacks. Economic strategies. 2023;25(3(189)):6-15.

2. Ageev A.I., Bochkarev O.I., Grabchak E.P., Loginov E.L. Network-centric system of increased survivability of Russian energy management in difficult-to-predict critical conditions. Economic strategies. 2021;23(3(177)):6-17.

3. Ageev A.I., Loginov E.L. The world community in conditions of supercritical bifurcation / Management of complex organizational and technical systems in conditions of supercritical situations: Proceedings of the international scientific and practical conference, Moscow, April 21-22, 2022. Moscow: Institute of Economic Strategies, 2022. pp. 9-12.

4. Ageev A.I. The role of sanctions, conflicts and special operations: reflections on the future. Part 1. Scientific Bulletin of the Russian Military-industrial complex. 2023;4:66-74.

5. Ageev A.I., Grabchak E.P., Loginov E.L. Russia in a supercritical situation: managing the restoration of life support functions to overcome the consequences of a natural disaster. Economic strategies. 2021;23(5(179)):28-35.

6. Ageev A.I., Loginov E.L. Strategic predestination of special military operations in the global supersystem. Economic strategies. 2023;25(4(190)):6-19.

7. Ageev A.I., Grabchak E.P., Loginov E.L. The use of artificial intelligence in the implementation of military command and control of civilian facilities as a single hybrid battlefield / Neurocomputers and their application: Abstracts of the XX All-Russian Scientific Conference, Moscow, March 22, 2022 Moscow: MGPPU, 2022. pp. 31-33.

8. Glazyev S.Y., Arkhipova V.V. Assessment of the impact of sanctions and other crisis factors on the state of the Russian economy. Russian Economic Journal. 2018;1:3-29.

9. Golublev A.A., Abramov V.I., Loginov E.L., Shkuta A.A., Doholyan A.S., Loginova V.E., Evdokimov D.S. Operation of human behavior in the state and society based on agent-based modeling using neural encoding of cognitive information. Artificial societies. 2019;14(3):1.

10. Grabchak E.P., Loginov E.L. The use of supercomputer technologies for managing fuel and energy resources transportation systems / Actual problems of scientific knowledge. New technologies of the Fuel and Energy Complex-2024: Proceedings of the VIII International Scientific and Practical Conference, Tyumen, April 26-27, 2024. Tyumen: Tyumen Industrial University, 2024. pp. 169-172.

11. Loginov E.L. Ensuring the safety and stability of complex organizational systems in conditions of natural and man-made electromagnetic influences. Moscow: Scientific Library Publishing House, 2024. 364 p.

DOI: 10.33917/es-1.205.2026.14-23

Attempts to violently seize the power in post-Soviet states can be reduced to operation of complex organizational systems, which means that adaptive application of general principles and tools for managing such systems is possible. It is necessary to analyze such processes from scientific point of view and proactively plan measures or better yet, systemic mechanisms, to counter these processes, which will ensure the stability of public administration at various levels of hierarchy and administrative infrastructure of the Russian Federation.

References:

1. Ageev A.I. Rol’ sanktsiy, konfliktov i spetsoperatsiy: razmyshleniya o budushchem. Chast’ 2 [The Role of Sanctions, Conflicts, and Special Operations: Reflections on the Future. Part 2]. Nauchnyy vestnik oboronno-promyshlennogo kompleksa Rossii, 2024, no 1, pp. 33–42.

2. Ageev A.I., Grigor’ev V.V., Loginov E.L. Kvantovye simulyatory kak instrument nablyudaemosti tsifrovoy supersistemy s sushchestvennoy komponentoy nepredskazuemogo povedeniya ee elementov [Quantum Simulators as a Tool for Observability of a Digital Supersystem with a Significant Component of Unpredictable Behavior of its Elements]. Mikroekonomika, 2024, no 5, pp. 5–13.

3. Lyuttvak E. Gosudarstvennyy perevorot: Prakticheskoe posobie [Coup d’État: A Practical Handbook]. Moscow, Russkiy fond sodeystviya obrazovaniyu i nauke, 2015, 326 p.

4. Abramov V.I., Loginov E.L. Agentno-orientirovannye podkhody k analizu i prognozu politicheskikh nastroeniy v obshchestve i postroeniyu mekhanizmov korrektirovki polozhitel’nykh i otritsatel’nykh reaktsiy na sotsial’no-politicheskie situatsii: Rossiya v XXI veke: global’nye vyzovy i perspektivy razvitiya: Materialy Sed’mogo Mezhdunarodnogo foruma [Agent-based Approaches to the Analysis and Forecasting of Political Sentiment in Society and the Development of Mechanisms for Adjusting Positive and Negative Reactions to Socio-political Situations: Russia in the 21st Century: Global Challenges and Development Prospects: Proceedings of the Seventh International Forum]. Moscow, IPR RAN, 2018, pp. 373–376.

5. Ageev A.I., Loginov E.L. Modelirovanie protsessov obespecheniya ustoychivosti gosudarstvennykh organizatsionnykh sistem k popytkam zakhvata vlasti identifitsirovannym i neidentifitsirovannym protivnikom [Modeling the Processes of Ensuring the Resilience of State Organizational Systems to Attempts to Seize Power by an Identified and Unidentified Enemy]. Mikroekonomika, 2025, no 3, pp. 5–14.

6. Loginov E.L. Perekhvat upravleniya slozhnymi organizatsionnymi sistemami v usloviyakh razmyvaniya granits mezhdu fizicheskimi, kognitivnymi i tsifrovymi prostranstvami deyatel’nosti i sredami upravleniya [Taking Control of Complex Organizational Systems in the Context of Blurring Boundaries between Physical, Cognitive, and Digital Activity Spaces and Management Environments]. Ekonomika: teoriya i praktika, 2024, no 1(73), pp. 3–10.

7. Loginov E.L., Matveev A.G., Shkuta A.A. Opredelenie parametrov lokalizovannykh sostoyaniy neyavnykh grupp s sobstvennoy komponentoy aktivnogo povedeniya, ne sovpadayushchego s vektorom deystviy gosudarstvennoy supersistemy [Determination of the Parameters of Localized States of Implicit Groups with Their own Component of Active Behavior That does not Coincide with the Vector of Actions of the State Supersystem]. Iskusstvennye obshchestva, 2019, vol. 14, no 1, p. 5.

DOI: 10.33917/mic-1.126.2026.5-11

The article examines the problems of configuring long-term demographic trends in the context of geopolitical shocks with a focus on increasing the operational array of human (bio-social) and resource-consumption (material and non-material) factors as elements of a socio-economic supersystem with a significant component of difficult-to-predict development. The paper analyses the problems of maintaining viability of the state as a supersystem. The authors substantiate a direction of the regulatory vector for the developed profiles of operational indicators depending on different population structures as a predictable phenomenon – a baseline from which to build on the factors stimulating demographic basis for the state’s viability. The main objective is to support transition of the human resource provision for the armed forces (in the context of the Special Military Operation) and production structures in various sectors of the economy from a cluster of difficult-to-predict development (instability) into a cluster with confirmed available opportunities for replenishing military personnel and key industries workers (primarily defence and critical infrastructure) as a computation solution in relation to the macro-space of operated indicators.

References:

1. Ageev A.I., Bakhtizin A.R., Makarov V.L., Loginov E.L. [et al.]. The economic foundation of victory: a strategic forecast of the stability of the Russian economy in the face of sanctions attacks. Economic strategies. 2023;25(3(189)):6-15.

2. Ageev A.I., Bochkarev O.I., Grabchak E.P., Loginov E.L. Network-centric system of increased survivability of Russian energy management in difficult-to-predict critical conditions. Economic strategies. 2021;23(3(177)):6-17.

3. Ageev A.I., Loginov E.L. The world community in conditions of supercritical bifurcation / Management of complex organizational and technical systems in conditions of supercritical situations: Proceedings of the international scientific and practical conference, Moscow, April 21-22, 2022. Moscow: Institute of Economic Strategies, 2022. pp. 9-12.

4. Ageev A.I. The role of sanctions, conflicts and special operations: reflections on the future. Part 1. Scientific Bulletin of the Russian Military-industrial complex. 2023;4:66-74.

5. Ageev A.I., Grabchak E.P., Loginov E.L. Russia in a supercritical situation: managing the restoration of life support functions to overcome the consequences of a natural disaster. Economic strategies. 2021;23(5(179)):28-35.

6. Ageev A.I., Loginov E.L. Strategic predestination of special military operations in the global supersystem. Economic strategies. 2023;25(4(190)):6-19.

7. Ageev A.I., Grabchak E.P., Loginov E.L. The use of artificial intelligence in the implementation of military command and control of civilian facilities as a single hybrid battlefield / Neurocomputers and their application: Abstracts of the XX All-Russian Scientific Conference, Moscow, March 22, 2022. Moscow: MGPPU, 2022. pp. 31-33.

DOI: 10.33917/es-5.203.2025.6-19

The article examines the problems of transforming the system for economic management of the Russian Federation, which could make it function in conditions of hybrid risks and critical threats. A set of measures for transforming management systems is structured, a number of functional stages is identified. The article substantiates the need to develop both general management and specific technical measures aimed at ensuring that the controlled contour of the system of state and corporate management centers within the resource supply infrastructure should be prepared for these types of risks and threats. The author concludes that the most appropriate management tool is adoption of a digital “twin” model of an economic entity (organizational agent). Obtained results will enable authorities to address organizational challenges in the event of the “drop-out of control centers at various levels” in order to operate with industry (regional) control centers and to work in a dialogue mode with structures of the Russian Federation Government and infrastructure organizations.

References:

1. Ageev A.I., Loginov E.L. SShA, Kitay, Rossiya: konfliktnye uyazvimosti v usloviyakh tranzita k novoy geostrategicheskoy paradigm [USA, China, Russia: Conflict Vulnerabilities in the Context of Transition to a New Geostrategic Paradigm]. Ekonomicheskie strategii, 2024, vol. 26, no 6(198), pp. 16–25, DOI: https://doi.org/10.33917/es-6.198.2024.16-25

2. Ageev A.I., Grabchak E.P., Loginov E.L. Ustoychivost’ ekonomicheskoy supersistemy Rossii i Belorussii v usloviyakh yadernoy ataki [Stability of the Economic Supersystem of Russia and Belarus in the Event of a Nuclear Attack]. Mikroekonomika, 2025, no 2, pp. 5–13. DOI: 10.33917/mic-2.121.2025. 5-13.

3. Perevooruzhenie Evropy [Rearmament of Europe]. Livejournal, 2025, 7 marta, available at: https://spydell.livejournal.com/802118.html

4. Pavel Shpidel’: Raskhody federal’nogo byudzheta Rossii [Expenditures of the Federal Budget of Russia]. Dzen, 2024, 1 oktyabrya, available at: https://dzen.ru/a/ZvwlBD2apwzl2Nap

5. Byudzhet Rossii [Budget of Russia]. TADVISER, 2025, 22 yanvarya, available at: https://www.tadviser.ru/index.php/Статья:Бюджет_России

6. Kak izmenyatsya gosudarstvennye raskhody v Rossii v 2025? [How will Government Spending Change in Russia in 2025?]. Livejournal, 2024, 3 oktyabrya, available at: https://spydell.livejournal.com/789883.html

7. Baza dannykh voennykh raskhodov SIPRI [SIPRI Military Expenditure Database]. SIPRI. Stockholm International Peace Research Institute, available at: https://www.sipri.org/databases/milex

8. Dinamika oboronnykh raskhodov Rossii [Dynamics of Russia’s Defense Expenditures], available at: https://yandex.ru/images/

9. Ivanter V.V., Budanov I.A., Korovkin A.G., Sutyagin V.S. Prikladnoe prognozirovanie natsional’noy ekonomiki: Ucheb. posobie dlya vuzov. Gl. 29. Voenno-promyshlennyy kompleks [Applied Forecasting of the National Economy: Textbook for Universities. Chapter 29. Military-Industrial Complex]. Moscow, Ekonomist, 2007, 896 p. P. 711–736, available at: https://ecfor.ru/wp-content/uploads/books/uch/29.pdf

DOI: 10.33917/es-4.202.2025.86-97

The article analyzes socio-economic situation of workers in the mining industry (from 2019 to 2025) and identifies trends in transition from traditional to innovative tools in the personnel’s work activities. It was also discovered that introduction of artificial intelligence technologies helps to minimize the human factor and ensures maximum production ef ficiency.

The present article also examines transformation of the qualitative and quantitative characteristics of the mining industry representatives, their social consequences, in particular, the impact of mining work on psychophysical health.

The paper also studies development of a nonlinear algorithm with the help of ar tificial intelligence methods, including a neural network and cognitive modules, as a factor in transition from traditional to innovative tools in the work of mining personnel, having direct significance for humans.

References:

1. Anchishkin A.I. Nauka, tekhnika, ekonomika [Science, Technology, Economics]. Moscow, Ekonomika, 1986. 383 p.

2. Kheynman S.A. Nauchno-tekhnicheskaya revolyutsiya segodnya i zavtra [Scientific and Technological Revolution Today and Tomorrow]. Moscow, Politizdat, 1977, 328 p.

3. L’vov D.S. Effektivnoe upravlenie tekhnicheskim razvitiem [Effective Management of Technical Development]. Moscow, Ekonomika, 1990, 255 p.

4. L’vov D.S., Glaz’ev S.Yu. Teoreticheskie i prikladnye aspekty upravleniya NTP [Theoretical and Applied Aspects of Scientific and Technical Progress Management]. Ekonomika i matematicheskie metody, 1986, no 5, pp. 793–804.

5. Glaz’ev S.Yu. Teoriya dolgosrochnogo tekhniko-ekonomicheskogo razvitiya [Theory of Long-Term Technical and Economic Development]. Moscow, Vladar, 1993, 310 p.

6. Peres K. Tekhnologicheskie revolyutsii i finansovyy kapital. Dinamika puzyrey i periodov protsvetaniya [Technological Revolutions and Financial Capital. Dynamics of Bubbles and Periods of Prosperity]. Moscow, Delo, 2011, 232 p.

7. Dosi G. Technical Change and Industrial Transformation: The Patterns of Industrial Dynamics. Technical Change and Industrial Transformation. Palgrave Macmillan, London. 1984. 338 p.

8. Perez C. Structural change and assimilation of new technologies in the economic and social systems. Futures, 1983, vol. 4, no. 15, pp. 357–375.

9. Freeman C. Technology policy and economic performance: lessons from Japan. London, Pinter Publishers, 1987. 155 p.

10. Edler J., Blind K., Kroll H., Schubert T. Technology sovereignty as an emerging frame for innovation policy. Defining rationales, ends and means. Research Policy, vol. 52, iss. 6, 2023, 104765.

11. Erebak S., Turgut T. Anxiety about the speed of technological development: Effects on job insecurity, time estimation, and automation level preference. The Journal of High Technology Management Research, vol. 32, iss. 2, 2021, 100419.

12. Eum W., Lee J-D. The co-evolution of production and technological capabilities during industrial development. Structural Change and Economic Dynamics, vol. 63, 2022, pp. 454–469.

DOI: 10.33917/mic-5.118.2024.5-13

The article dwells on the problems of increasing stability of artificial societies consisting of organizational agents as elements of a digital supersystem with a significant component of unpredictable behaviour. The problems of supersystem observability are analyzed. It is proposed to unify information, telematic and computing services for creating a digital twin in order to support the transition of an individual from a cluster of unpredictable behaviour (aggressive behaviour) to a cluster with confirmed trust as a computing solution. Introduction of quantum computing allows us to obtain more substantiated assessments of productivity of the process of increasing the artificial societies’ sustainability based on the use of quantum simulators that allow, in difficult crisis conditions, to calculate all the optimization indicators for a large number of objects and resources in relation to the personalities of recipients (buyers) of information, each of whom is in a local uncertain and confusing choice of solutions for actions in a digital supersystem. The author substantiates direction of the imprinting vector of the reflexive matrices’ developed profiles depending on the different person’s satisfaction with life as a base point, from which one can start for artificially inducing the experience of reality in order to support transition of an individual from a cluster of unpredictable behaviour (aggressive) to a cluster with confirmed trust as a computing solution.

References:

1. Ageev A.I., Grabchak E.P., Loginov E.L. Using artificial intelligence in the implementation of troop command and control of civilian facilities as a single hybrid battlefield. Neurocomputers and their application: Abstracts of the XX All-Russian scientific conference, Moscow, March 22, 2022. Moscow: MGPPU, 2022. pp. 31–33.

2. Ageev A.I., Grabchak E.P., Loginov E.L. Using supercomputer technologies to manage the operation of super-large organizational systems in the implementation of complex special projects (operations). Microeconomics. 2024;1:5–10.

3. Defense Advanced Research Projects Agency • Budget Estimates FY 2024. URL: https://comptroller.defense.gov/Portals/45/Documents/defbudget/fy2024/budget_justification/pdfs/

4. Loginov E.L. Digital Technologies of Political Struggle: Neural Network Imperatives of Information Counteraction to Attempts to Intercept Control in the Socio-Political Environment. Moscow: «Rusains», 2024. 234 p.

5. Ageyev A.I., Loginov E.L. Neurocommunity – is it the Future of Humanity? Economic Strategies. 2022;24(5 (185)):42–51.

6. Grabchak E.P., Loginov E.L. Maintaining the Operation of an Integrated Complex of Civil and Special Structures Based on Digital Synchronization of Monitoring, Communication, Analytics and Control Functions. Problems of Complex Systems Security Management: Proceedings of the XXXI International Conference, Moscow, December 13, 2023. Moscow: V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, 2023. pp. 499–504.

DOI: 10.33917/es-2.188.2023.90-93

Tougher requirements for the accuracy and reliability of the system time scale (TS) in the electric power industry, as well as changes in the geopolitical situation, have caused the need to revise the existing methods of TS organization. “UEC” JSC has developed the Methodological Recommendations “Unified Precision Time System at High-Voltage Network Facilities”. The article reveals the current method of organizing power facilities of the power grid companies in the Russian Federation. Results of the analysis of the need to improve reliability of the TS organization and to ensure the required accuracy of time signals, as well as proposals for their implementation are presented.

References:

1. Bogdanov E.A., Ivanov A.M., Kol’tsov P.A., Shvarts M.L. Edinaya sistema sinkhronizatsii vremeni v tekhnologicheskikh sistemakh energoob”ektov i DTs RSK [Unified Time Synchronization System in Technological Systems of Power Facilities and RSK DC]. Moskovskii energetik, 2022 (dekabr’), no 10(144), pp. 6–7.

2. Ryzhkov A.V., Donchenko S.I., Ivanov A.V., Koltunov M.N., Savchuk A.V., Shvarts M.L. Peredacha signalov vremeni po seti svyazi obshchego pol’zovaniya [Transmitting Time Signals over a Public Communications Network]. Elektrosvyaz’, 2010, no 12, pp. 42–47.

3. Ryzhkov A.V., Shvarts M.L., Aladin V.M., Isupov A.V. Opyt vnedreniya sistem chastotno-vremennogo obespecheniya setei svyazi [Experience in Implementing Systems for Time-Frequency Support of Communication Networks]. T-Comm: Telekommunikatsii i transport, 2022, vol. 16, no 7, pp. 21–28.

4. Zuev E.V., Ryzhkov A.V., Pelyushenko A.S., Samatov V.I., Sakharov B.A. Pervichnyi etalonnyi istochnik VCH-1008C sistemy taktovoi setevoi sinkhronizatsii v tsifrovykh setyakh [VCH-1008C Primary Reference Source for Network Clock Synchronization System in Digital Networks]. Elektrosvyaz’, 2013, no 2, pp. 32–33.

5. Shvarts M.L., Ryzhkov A.V. Sovremennye tendentsii razvitiya sistem setevoi sinkhronizatsii v setyakh elektrosvyazi. Ot pleziokhronnykh do kogerentnykh setei [Modern Trends in the Development of Network Synchronization Systems in Telecommunication Networks. From Plesiochronous to Coherent Networks]. Sistemy sinkhronizatsii, formirovaniya i obrabotki signalov, 2021, no 4, pp. 27–38.

DOI: 10.33917/mic-5.94.2020.93-98

The research article studies the specifics of the service market using the example of the Republic of Tatarstan, within the framework of which the structural components of improving the quality of service are identified and the main directions for the development of innovations are determined. The monitoring of the state and development of the service market was carried out, in the process of which the respondents assessed the problem areas on a 5-point scale. When researching the questionnaires of a sociological survey, the main directions of development of the service sector are presented.

DOI: 10.33917/mic-2.91.2020.75-87

The study is aimed at studying the factors of influence of economic preconditions on the level of social tension in rural areas. Methods. The study analyzes various factors that affect the development of rural areas, with an emphasis on economic impact, and determines the criteria necessary for assessing the level of social tension. The study is based on an analysis of the state of rural areas of the Perm region and the population living in them, based on statistical indicators that characterize them. Data on the level and quality of life of the population, demographic situation, unemployment, crime and migration are analyzed. Scientific novelty. Taking into account the relevance of the research topic, the authors come to a reasonable conclusion about the need to analyze and assess the level of social tension in rural areas. Results and practical significance.

On the basis of the conducted analysis, the characteristic features of the current state of the rural population of the Perm territory are highlighted and described. Factors that influence social tension in these territories are identified, and problems that need to be addressed in order to avoid negative consequences of social tension are identified. Taking into account the relevance of the considered issues for any agricultural territory of our country, the approach proposed by the authors will be interesting and universal in practical application by specialists in the field of state and municipal management, agriculture, and economy of both Federal and state authorities of the subjects of the Russian Federation and local self-government bodies.