Statistical Accounting as a Digital Measure of the Development of the Region's Adaptation Potential Under Sanctions
https://doi.org/10.21686/2500-3925-2020-6-10-21
Abstract
The purpose of the study is to substantiate the tools for digital measurement of the development of the adaptive potential of the region's population under sanctions using economic and statistical analysis methods. The study uses statistical characteristics that are suitable for creating a model of interaction between internal and external adaptation systems of the region's population. It is assumed that the adaptive potential of a person is determined by the amount of stress they experience over a certain period of time. To characterize the relative values of stress, the theory of population needs is used, in particular: natural-physiological, demographic, social, economic and organizational. The region's adaptive potential includes demographic, labor, social, economic, industrial, organizational, and other types.
The materials and methods of the research are the application of official data of the Federal State Statistics Service using economic and statistical analysis methods, structural and dynamic analysis of indicators, as well as methods of theoretical research in the form of generalization, comparison, aggregation and special analytical procedures.
According to the results of the review of theoretical approaches, it is concluded that the adaptive potential can be described as a complex object of research. Based on physiological, socio-demographic, activity, economic and other approaches, the author developed and proposed a model for digital measurement of the development of the region's adaptive potential under sanctions. The concept of adaptive potential is clarified as the ability (potency) of population organisms, resources of enterprises and territories, their specific capabilities to produce benefits and change (to adapt) to any situation. A model of interaction between internal and external systems of population adaptation, a method for calculating the aggregate index of development of the region's adaptation potential, and a matrix for estimating the growth rate (weights) of its elements are developed. Analysis of the measurement of the aggregated indices confirmed the assumption about the impact of foreign sanctions on the degree of adaptation of the population of the country's regions. For example, in 2015, the index of adaptive capacity decreased to negative values in all regions of the Ural Federal District and some in the Central Federal District and in subsequent years there was a gradual adaptation of regions to sanctions. The results obtained expand the understanding of the impact of sanctions on the adaptation of the population of regions; they can be used to diagnose socio-economic processes; develop practical recommendations for improving regional policies and strategies for sustainable development in the face of sanctions and other challenges of the time. The considered approach is linked to the tasks set for the Russian system of state statistics in the framework of the program "Digital economy of the Russian Federation".
About the Author
N. D. KremlevRussian Federation
Nikolay D. Kremlev - Cand. Sci. (Economics), Professor, Senior researcher
References
1. Kuzovkova T.A., Tkachenko D.N., Kuzovkov A.D. Methods and models for measuring the impact of infocommunication technologies on economic growth. Elektronnyy nauchnyy zhurnal «Vek kachestva» = Electronic scientific journal "Age of Quality". 2018; 1: 64 - 77. (In Russ.)
2. Tsifrovaya ekonomika. Uchebnik dlya vuzov = Digital economy. Textbook for universities / I.A. Khasanshin, A.A. Kudryashov, E.V. Kuzmin et al. Moscow: Hot line – Telecom; 2019. 288 p. (In Russ.)
3. Kuzovkova T.A. Assessment of the role of infocommunications in the national economy and identification of patterns of its development. Sistemy upravleniya, svyazi i bezopasnosti = Systems of management, communications and security. 2015; 4: 26 – 68. (In Russ.)
4. Aletdinova A.A., Kurcheyeva G.I. Theoretical provisions for the formation of a digital ecosystem / Out of the crisis: development of the economy and industry / edited by Dr. Econ. Sciences A.V. Babkina; Ministry of Education and Science of the Russian Federation, Peter the Great St. Petersburg Polytechnic University. St. Petersburg: Publishing house of the Polytechnic University. 2016: 236– 259. (In Russ.)
5. Denning P., Metcalfe R. Beyond calculation: the next fifty years of computing. New York: Springer. 1997. 313 p.
6. Moore J. The death of competition: leadership and strategy in the age of business ecosystems. New York: HarperBusiness. 1996. 297 p.
7. Cliff D., Grand S. The creatures global digital ecosystem. Artificial Life. 1999; 5: 77–93.
8. Grand S., Cliff D. Creatures: entertainment software agents with artificial life. Autonomous Agents and Multi-Agent Systems. 1998; 1: 39–57.
9. Briscoe G., Sadedin S., De Wilde P. Digital ecosystems: ecosystem-oriented architectures. Natural Computing. 2011; 10(3): 1143–1194.
10. Vorob'yeva O.A. Perekhod na mezhdunarodnuyu sistemu finansovoy otchetnosti: teoreticheskiye i prakticheskiye aspekty protsessa: monografiya = Transition to the international financial reporting system: theoretical and practical aspects of the process: monograph. Kurgan: Publishing House of Kurgan State University. 2010. 162 p. (In Russ.)
11. Sel'ye G. «Ocherki ob obshchem adaptatsionnom sindrome» = "Essays on the general adaptation syndrome" [Internet]. 1936. Available from: https://fb.ru/article/231522/ganssele-biografiya-vklad-v-nauku-knigi-napisannyiegansom-sele. (cited 22.07.2020). (In Russ.)
12. Anokhin P.K. Key questions in the study of higher nervous activity. Problemy vysshey nervnoy deyatel'nosti = Problems of higher nervous activity. Moscow: 1949: 119–128. (In Russ.)
13. Rayevskiy S.G. Synergetic approach to the definition of adaptation as a philosophical category. Vestnik Irkutskogo gosudarstvennogo tekhnicheskogo universiteta = Bulletin of the Irkutsk State Technical University. 2007; 1-2(29): 171–174. (In Russ.)
14. Shelomentsev A.G., Goncharova K.S. A numerical study of the dependence of the structure of household expenditures on the level of their income in the context of the concept of self-preserving behavior. Ekonomika regiona = Economy of the region. 2020; 16; 3: 791-806. DOI: 10.17059/ekon.reg.2020-3-9. (In Russ.)
15. Ekonomicheskiy potentsial territorii Rossiyskoy Federatsii: V12 uchebnoye posobiye / Ye.V. Vavilova = Economic potential of the territory of the Russian Federation: B12 study guide / E.V. Vavilov. Moscow: KNORUS; 2016. 270 p. (In Russ.)
16. Khodzinskaya A.B. Adaptation potential of regional development and directions of institutional transformations. Ekonomika i predprinimatel'stvo = Economy and Entrepreneurship. 2015; 1(54): 271– 276. (In Russ.)
17. Simikova I.P. Influence of the adaptive properties of production systems on the investment attractiveness of the region. Ekonominfo = Econominfo. 2011; 15: 46–48. (In Russ.)
18. Bochko M.M. Adaptation institutes in the sphere of employment of a transitional economy. Vestnik Chelyabinskogo gosudarstvennogo universiteta = Bulletin of the Chelyabinsk State University. 2010; 14: 53–57. (In Russ.)
19. Podderegina L.I. The essence and structure of the socio-economic system of society. Vestnik Belorusskogo natsional'nogo tekhnicheskogo universiteta: nauchno-tekhnicheskiy zhurnal = Bulletin of the Belarusian National Technical University: scientific and technical journal. 2007; 4: 72–79. (In Russ.)
20. Zorina K.A., Itunina N.B. Adaptation potential as a condition for increasing the efficiency of modernization processes. Tvorcheskoye naslediye E.V. Il'yenkova i sovremennost' = Creative heritage of E.V. Ilyenkov and modernity. 2018; 4: 30–37. (In Russ.)
21. Dement'yeva I.N. Consumer behavior of the region's population and the peculiarities of its adaptation to the economic conditions of the crisis of 2014-2015. Voprosy territorial'nogo razvitiya = Issues of territorial development. 2018; 3(43): 3. (In Russ.)
22. Shmakov V.S. Adaptation processes in the Siberian countryside. Vestnik Novosibirskogo gosudarstvennogo universiteta. Seriya: Filosofiya = Bulletin of Novosibirsk State University. Series: Philosophy. 2013; 11; 2: 80–85. (In Russ.)
23. Vazhenin S.G., Vazhenina I.S. Conceptual Foundations of Competitive Coexistence of Territories. Zhurnal ekonomicheskoy teorii = Journal of Economic Theory. 2012; 3: 96–106. (In Russ.)
24. Doroshenko S.V., Trushkova Ye.A. Macromodel of adaptation of the population in a changing Methodology of statistics V. 17. № 6. 2020 21Statistics and Economics economy: approaches and solutions. Zhurnal ekonomicheskoy teorii = Journal of Economic Theory. 2019; 16; 4: 617–629. DOI: 10.31063/2073– 6517/2019.16–4.2. (In Russ.)
25. Belkin V.N., Belkina N.A., Antonova O.A., Luzin N.A. Theoretical foundations of the study of intellectual and human capital. Ekonomika regiona = Economy of the region. 2011; 1: 88–89. (In Russ.)
26. Avraamova Ye.M. Vremya peremen: sotsial'no-ekonomicheskaya adaptatsiya = Time for change: socio-economic adaptation. Moscow: ISEPN RAN; 1998. 229 p. (In Russ.)
27. Ekonomicheskaya bezopasnost' Rossii: uroki krizisa i perspektivy rosta = Economic security of Russia: lessons of the crisis and growth prospects / Ed. V.A. Chereshneva, A.I. Tatarkina, M.V. Fedorov. Vol. 1. Yekaterinburg: Institute of Economics, Ural Branch of the Russian Academy of Sciences; 2012. 1312 p. (In Russ.)
28. Kremlev N.D. Statistical approach to assessing the degree of adaptation of households in market conditions. Upravleniye v sovremennykh sistemakh = Management in modern systems. 2020; 1(25): 18-26. (In Russ.)
Review
For citations:
Kremlev N.D. Statistical Accounting as a Digital Measure of the Development of the Region's Adaptation Potential Under Sanctions. Statistics and Economics. 2020;17(6):10-21. (In Russ.) https://doi.org/10.21686/2500-3925-2020-6-10-21