Development of Tool of Diagnostics of Mechanisms of Adaptation of Population to Calls of Time
DOI: 10.34130/2070-4992-2020-3-93
Kremlev N. D. — PhD in Economics, Professor, Senior Researcher, Institute of Economics (Kurgan Branch), Ural Branch of the Russian Academy of Sciences;, Professor of the Department of Accounting and Foreign Economic Activity, Kurgan State University, Yekaterinburg, Russia, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
The purpose of this article is to develop methodological tools for diagnosing the adaptation potential of the region to any situation based on the calculation of the aggregate index of adaptation potential, which more objectively characterizes the abilities and capabilities of the population, as well as the resources of enterprises and their use at the mini, meso and macro levels of economic development. The subject of the research is a set of relations (socio-demographic, economic, environmental, political, natural-physiological, etc.) that arise in the process of forming and using the adaptive potential in order to ensure the sustainable development of the subsidized region. The article examines the problems of developing the region's adaptive potential to the challenges of the time based on the methodology and official statistics. The review of the state of knowledge of the mechanisms of adaptation of the population, which reflect the behavior of people to changes in domestic and foreign sources. The results of the analysis show that most of the definitions are various modifications of traditional approaches of the theories of psychology, sociology, and philosophy. They are too specific, have a particular character, and need theoretical justification. The author highlights the most important essential features and conditions of population adaptation mechanisms that characterize the level and degree of people's adaptation to the challenges of time. On this theoretical basis, the concept of adaptation potential of the region is clarified as the ability (potency) of population organisms, enterprise resources and territories, their specific capabilities to change (adapt) to any situation. Three States of adaptation potential have been developed: equilibrium, stable, and stable; four levels of adaptation: micro, mini, meso, and macro; four models of population adaptation mechanisms: natural-physiological, socio-demographic, financial-economic, and security. Diagnostics of tools of mechanisms of adaptation of the population of the Kurgan region using the aggregated index of adaptive potential affecting the improvement of the quality of life of the population was carried out. The main conclusions of the article may serve as a methodological basis for future socio-economic research, be used as a statistical basis for developing sound management solutions for sustainable regional development and for assessing the degree of adaptation of the population to the challenges of time.
Keywords: statistics, tools, mechanisms, adaptation models, regional economy, index of adaptive potential, diagnostics of adaptation, population, system of national accounts.
References
1. Kremlev N. D. Statisticheskij podxod k ocenke stepeni adaptacii domashnix xozyajstv v ry`nochny`x usloviyax [Statistical approach to assessing the degree of adaptation of households in market conditions]. Upravlenie v sovremenny`x sistemax [Management in modern systems]. 2020, no. 1 (5), pp. 18—26. (In Russian).
2. Shpak L. M. Sociologiya zhizni: nauchnoe nasledie i sovremenny`e traktovki [Sociology of life: scientific heritage and modern interpretations]. Kemerovo: Kemerovo state University, 2007, pp. 372. (In Russian).
3. Rokeach, M. The nature of human values. New York: Free Press, 1973. 438 p.
4. Selye G. Ocherki ob obshhem adaptacionnom sindrome [Essays on the General Adaptation Syndrome], 1936. FB.ru. (In Russian). Available at: https://fb.ru/article/231522/gans-sele-biografiya-vklad-v-nauku-knigi-napisannyie-gansom-sele (Accessed 22.07.2020).
5. Anokhin P. K. Uzlovy`e voprosy` v izuchenii vy`sshej nervnoj deyatel`nosti [Key questions in the study of higher nervous activity]. Problemy` vy`sshej nervnoj deyatel`nosti [Problems of higher nervous activity]. Moscow, 1949, pp. 9–128. (In Russian).
6. Raevsky S. G. Sinergeticheskij podxod k opredeleniyu adaptacii kak filosofskoj kategorii [Synergetic approach to the definition of adaptation as a philosophical category]. Vestnik Irkutskogo gosudarstvennogo texnicheskogo universiteta [Bulletin of the Irkutsk State Technical University], 2007, no. 1-2 (29), pp. 171—174. (In Russian).
7. Keynes J. M. Obshhaya teoriya zanyatosti, procentov i deneg [General theory of employment, interest and money]. Moscow, Geleus ARV, 2002. 352 p. (In Russian).
8. Belyaeva L. A. Social`naya stratifikaciya i srednij klass v Rossii: 10 let postsovetskogo razvitiya [Social stratification and the middle class in Russia: 10 years of post-Soviet development]. Moscow, Academia, 2001. 183 p. (In Russian).
9. Mironova E. N., Solovieva L. V. Faktory` sociokul`turnoj adaptacii [Factors of socio-cultural adaptation]. Mir nauki, kul`tury`, obrazovaniya [World of science, culture, education], 2016, no. 3 (58), pp. 183—184. (In Russian).
10. Brandon R. N. Adaptation and Environment. Princeton University Press, 2014. 226 p.
11. Williams G. C. Adaptation and Natural Selection: A Critique of Some Current Evolutionary Thought. Princeton: Princeton University Press, 1966. 307 p.
12. Evans R., Moore A., Rees D., The Cyclical Behavior of the Labor Force Participation Rate in Australia. The Australian Economic Review. 2019, vol. 52, no. 1, pp. 94—106.
13. Kizhevatova V. A. Adaptaciya naseleniya k social`no-e`konomicheskim izmeneniyam: Regional`ny`j aspekt: avtoref. dis. ... kand. sociol. nauk [Adaptation of the population to socio-economic changes: Regional aspect: author. dis. ... Cand. sociol. Sciences]. Penza, Penz. state un-t, 2001. 25 p. (In Russian).
14. Podderegina L. I. Sushhnost` i struktura social`no-e`konomicheskoj sistemy` obshhestva [The essence and structure of the socio-economic system of society]. Vestnik Belorusskogo nacional`nogo texnicheskogo universiteta: nauchno-texnicheskij zhurnal [Bulletin of the Belarusian National Technical University: scientific and technical journal], 2007, no. 4, pp. 72—79. (In Russian).
15. Lukashenko D. V. Sistemny`j podxod k adaptacii lichnosti [A systematic approach to personality adaptation]. Chelovecheskij capital [Human capital], 2016, no. 1 (85), pp. 71—71. (In Russian).
16. Vazhenin S. G., Vazhenina I. S. Konceptual`ny`e osnovy` konkurentnogo sosushhestvovaniya territorij [Conceptual Foundations of Competitive Coexistence of Territories]. Zhurnal e`konomicheskoj teorii [Journal of Economic Theory], 2012, no. 3, 100 p. (In Russian).
17. Belkin V. N., Belkina N. A., Antonova O. A., Luzin N. A. Teoreticheskie osnovy` issledovaniya intellektual`nogo i chelovecheskogo kapitala [Theoretical foundations of the study of intellectual and human capital]. E`konomika regiona [Economy of the region], 2011, no. 1, pp. 88—89. (In Russian).
18. Avraamova E. M. Vremya peremen: social`no-e`konomicheskaya adaptaciya [Time for change: socio-economic adaptation]. Moscow: ISEPN RAS, 1998. 229 p. (In Russian).
19. Chereshneva V. A., Tatarkina A. I., Fedorov M. V. E`konomicheskaya bezopasnost` Rossii: uroki krizisa i perspektivy` rosta [Economic security of Russia: lessons of the crisis and growth prospects]. Yekaterinburg: Institute of Economics, Ural Branch of the Russian Academy of Sciences, 2012. Vol. 1. 1312 p. (In Russian).
20. Aletdinova A. A., Kurcheeva G. I. Teoreticheskie polozheniya po formirovaniyu cifrovoj e`kosistemy` [Theoretical provisions on the formation of a digital ecosystem]. Vy`xod iz krizisa: razvitie e`konomiki i promy`shlennosti [Out of the crisis: development of the economy and industry]. pod redakciej d-ra e`kon. nauk A. V. Babkina. [Edited by doctor of Economics A. V. Babkin]. Ministry of education and science of the Russian Federation, Peter the Great Saint Petersburg Polytechnic University. Saint Petersburg: publishing house of the Polytechnic University? 2016 , pp. 236—259. (In Russian).
21. Denning P., Metcalfe R., Beyond calculation: the next fifty years of computing. New York: Springer, 1997. 313 p.
22. Moore J. The death of competition: leadership and strategy in the age of business ecosystems. New York: HarperBusiness, 1996. 297 p.
23. Cliff D., Grand S. The creatures global digital ecosystem. Artificial Life, 1999, no. 5, pp. 77—93.
24. Grand S., Cliff D. Creatures: entertainment software agents with artificial life. Autonomous Agents and Multi-Agent Systems, 1998, no. 1, pp. 39—57.
25. Soraku-gun K., Langton C. An evolutionary approach to synthetic biology: Zen and the art of creating life. Artificial life: an overview. Cambridge, Massachusetts; London, England: MIT Press, 1995, pp. 195—226.
26. Briscoe G., Sadedin S., De Wilde P. Digital ecosystems: ecosystem-oriented architectures. Natural Computing, 2011.10(3), pp. 1143—1194.
27. Regiony` Rossii [The Regions Of Russia]. Social`no-e`konomicheskie pokazateli [Socio-economic indicators]. 2019: R32 Stat. sb. / Rosstat. Moskva [2019: P32 Stat. sat.]. Moscow Rosstat, 2019, pp. 1204. (In Russian).
For citation: Kremlev N. D. Development of tools for diagnostics of mechanisms of adaptation of the population to the challenges of time // Corporate Governance and Innovative Economic Development of the North. Bulletin of Research Center of Corporate Law, Management and Venture Investment of Syktyvkar State University. 2020. No. 3. Р. 93—105. DOI: 10.34130/2070-4992-2020-3-93.