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

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.