Economic

Introduction. The article deals with the problems of ecosystems formation and development as new forms of organizational and economic relations in the Russian economy. Artificial intelligence and neural networks are studied as elements of the modern economic ecosystems construction. Theoretical analysis. The classification of ecosystem services and platforms is presented, the ways of their formation using artificial intelligence are investigated. Among the services provided by ecosystems, the following services grouped by fields of activity can be distinguished: in the field of information technology there are cloud technologies; in the field of life – social networks; in the field of finance – Internet banking. In the case of providing these services, artificial intelligence automatically saves almost all the information about the client using special filescookies. There are two ways of forming ecosystems with the participation of artificial intelligence: the creation of appropriate functionality based on a large financial institution and the formation of an intelligent platform based on a powerful Internet company or a mobile operator. From the point of view of the introduction of artificial intelligence elements and neural networks, the main ecosystems in the Russian economy are analyzed: Sber, VTB, Tinkoff, Yandex, Mail.ru Group and MTS. Results. Modern integration processes lead to the creation of metaverses based on ecosystems, in which neural networks and artificial intelligence play a crucial role. These trends require further study and scientific understanding, as well as the development of an appropriate state strategy for regulating ecosystems and programs for the introduction of artificial intelligence elements into economic development mechanisms.

Introduction. The relevance of scholarly justification of approaches to economic development is caused by the insufficient study of the economic development phenomenon, its nature and qualitative characteristics of the factors influencing the implementation of qualitative structural changes in the economy of the country. Theoretical analysis. The article summarizes the evolution of economic thought and historical transformation of attitudes concerning the study of economic development. Scientific approaches and studies of leading foreign and domestic scholars, which constituted the theoretical and methodological basis of the economic development theory, are consistently presented. The tendencies that served the modern theories of economic development formation are considered. Empirical analysis. Based on statistical data analysis the difference between the categories of «economic growth» and «economic development» is justified. The concept of economic complexity as a phenomenon that contributes to the qualitative transformation of the economic development factors is considered. The dynamics of the economic complexity index in the Russian Federation is analyzed. Results. The analysis of qualitative changes in the economic development factors in the modern mixed economy is conducted. The relevance of sustainable development theory and the concept of economic complexity application in the study of the economic development of states are demonstrated. The criteria of economic development in modern socio-economic conditions are formulated.

The present article is devoted to one of the most urgent items of the stat-of-the-art development of national (domestic) manufacture. The enterprises’ development results in many ways depend on the state of production facilities and rate of competitiveness in the external market. Beneficial effect is possible to be achieved only if sound and regular interaction between two directions of development, such as technical re-equipment and external economic space broadening, will be established.

This article considers application of method of geographically weighted regression for analysis of dynamics of average price for square metre of real estate. Effectiveness of method of geographically weighted regression is illustrated in realistic empirical data.