ASSESSMENT OF THE LEVEL OF ORDERLINESS OF THE ECONOMIC SYSTEM AND ITS INFLUENCE ON ADAPTIVE PROPERTIES (ON THE EXAMPLE OF THE ROSTOV REGION)

Authors

DOI:

https://doi.org/10.18623/rvd.v23.5173

Keywords:

Adaptive Management, Entropy Analysis, Orderliness of the Economic System, Mesosystem, Self-Organization of Economic Systems

Abstract

This study evaluates the level of orderliness in the economic mesosystem of the Rostov region using entropy analysis. It explores the relationship between economic self-organization, adaptive properties, and the accumulation of knowledge regarding external environmental changes. A systemic and entropy-based approach is applied, integrating Shannon’s entropy formula to quantify disorder in the economic system. The study assesses 81 major enterprises across 17 industries, analyzing their distribution patterns and adaptation potential. The entropy analysis shows that the Rostov mesosystem is 39% ordered, indicating a low level of economic adaptability. A hyperbolic distribution (Y = 1/X) of enterprises reveals an overreliance on wholesale trade, with underdeveloped manufacturing and service sectors. The study underscores that knowledge accumulation enhances adaptability and self-organization. Strategic recommendations include shifting towards knowledge-intensive industries, decentralized production, and increased technological integration. Improving adaptive management and reducing economic entropy are critical for sustainable regional economic development. This research provides a quantitative framework for assessing regional economic resilience and adaptability.

References

1. Arkhipov, A. Y., Kurochkin, V. N., Goriainov, S. G., Grechko, M. V., & Stasev, M. A. (2023). Dialectics of the evolution of economic systems. International Journal of Trade and Global Markets, 18(2/3), 143-158. http://dx.doi.org/10.1504/IJTGM.2023.135615

2. Batishchev, G. S. (1997). Introduction to the dialectics of creativity. St. Petersburg: Russian Christian Humanitarian Institute Publishing House, 463 p. (In Russ.)

3. Chepyuk, O. R. (2016). Entropy in economic science: Harbinger of the end or a new beginning. Philosophy of Economy, 3(105), 64-73. (In Russ.)

4. Dolyatovsky, V. A. (2020). Assessing the stability and optimizing the characteristics of economic cenoses. Fundamental Research, 5, 67-74. (In Russ.)

5. Ekspert Yug. (2024). 250 largest companies of the Southern Federal District based on the results of 2023. Retrieved from https://expertsouth.ru/ratings/krupnejshie-kompanii/250-krupneyshikh-kompaniy-yufo-po-itogam-2023-goda/

6. Gelfand, I. M., & Graev, M. I. (1999). Special functions associated with complex Lie groups. Report of the Academy of Sciences, 364(2), 151-154. (In Russ)

7. Granberg, A. G. (2009). Modeling spatial development of the economy. Strategic Planning in the Regions and Cities of Russia, 9, 32-34. (In Russ.)

8. Grechko, M. V. (2023). On the dialectical approach to the study of the evolution of economic systems. Issues of Political Economy, 3(35), 116–130. http://dx.doi.org/10.5281/zenodo.8320052 (In Russ.)

9. Grechko, M. V., & Gurdzhiev, G. M. (2025). On the influence of order and entropy on the economic system’s development. National Interests: Priorities and Security, 21(2), 91-105. http://dx.doi.org/10.24891/ni.21.2.91 (In Russ.)

10. Grechko, M. V., & Kurochkin, V. N. (2015). Self-organization of socio-economic systems: Conceptual foundations, axiomatization. National Interests: Priorities and Security, 11(32(317)), 36-45. (In Russ.)

11. Hegel, G. W. F. (2005). The science of logic. St. Petersburg: Nauka. 799 p. (In Russ.)

12. Khintchin, A. (1956). On the fundamental theorems of information theory. Mathematical Surveys, 11(1(67)), 17-75. (In Russ.)

13. Kleiner, G. B. (Ed.). (2022). Mezoeconomics of Russia: Strategy of divergence: Monograph. Moscow: Scientific Library Publishing House, 808 p. (In Russ.)

14. Kolmogorov, A.N. (1938). On analytical methods in probability theory. Advances in Mathematical Sciences, 5, 5-41. (In Russ.)

15. Kondratiev, N. D. (1991). Key problems of economic statics and dynamics: A preliminary sketch (1st ed.). Moscow: Nauka, 567 p. (In Russ.)

16. Krasnov, G. A., Vinogradov, V. V., & Krasnov, A. A. (2009). Change in the entropy of an economic system depending on the distribution of resources among the system's elements. Volga Scientific Journal, 1(9), 167-172. (In Russ.)

17. Kurochkin, V. N., Grechko, M. V., Pleshivtseva, A. A., & Gurdzhiev, G. M. (2025). Certificate of State Registration of a Computer Program No. 2025610617, Russian Federation. Code for calculating the measure of system orderliness.

18. Kurochkin, V. N., Nazarenko, S. A., & Shcherbak, N. A. (2023). Measure of orderliness of a socio-economic system for assessing Its effectiveness. Theory and Practice of Public Development, 12(188), 200-206. http://dx.doi.org/10.24158/tipor.2023.12.25 (In Russ.)

19. Lenin, V. I. (1969). Imperialism as the highest stage of capitalism. In V. I. Lenin, Complete works. Vol. 27 (5th ed.). Moscow: Publishing House of Political Literature, 643 p. (In Russ.)

20. Lukács, G. (1991). On the ontology of social being. Prolegomena. Trans. from German. Moscow: Progress, 417 p. (In Russ.)

21. Marx, K., & Engels, F. (1960). Capital. Vol. 1. In K. Marx, & F. Engels, Collected works. Vol. 23 (2nd ed.). Moscow: State Publishing House of Political Literature, 920 p. (In Russ.)

22. Menger, C. (2005). Selected works. Moscow: Publishing House "Territory of the Future", 496 p.

23. Prigogine, I. (1985). New perspectives on complexity. In S. Aida, The science and praxis of complexity (pp. 107-118). Tokio: The United Nations University.

24. Salikhov, B. V., & Salikhova, I. S. (2024). Qualitative integrity of human capital as the basis of its new economic forms. Issues of Political Economy, 3(39), 221-236. (In Russ.)

25. Shannon, C. (1949). Communication theory of secrecy systems. Bell System Technical Journal, 28(4), 656-715.

Downloads

Published

2026-03-04

How to Cite

Grechko, M., & Gurdzhiev, G. (2026). ASSESSMENT OF THE LEVEL OF ORDERLINESS OF THE ECONOMIC SYSTEM AND ITS INFLUENCE ON ADAPTIVE PROPERTIES (ON THE EXAMPLE OF THE ROSTOV REGION). Veredas Do Direito, 23, e235173. https://doi.org/10.18623/rvd.v23.5173