System of assessment and forecasting of regional industrial systems development prospects taking into account the innovation-technological factor

Author:

Gorky Artyom S.ORCID

Abstract

The published scientific article is devoted to the need for integrated and systemic strategies to promote the development of the regional industrial complex, which is the most important aspect of innovative strategies of production units and allows regions to increase their production competitiveness and attract additional investment. The article defines the concept of forecasting in scientific research and regulatory documents; presents a system of indicators for assessing the forecasting of regional economic systems within the Russian Federation; highlights the elements of the strategy of socio-economic development of the subjects of the Russian Federation; emphasizes that regional forecasting includes economic, demographic and social forecasts of regional development; presents a specific classification of forecasts for the studied time period; a distinction is made between search and regulatory forecasts: search forecasts are based on the analysis of the prevailing trends of economic growth, and regulatory forecasts are based on the desired future state of the region, corresponding to the objectives of the study; it is argued that the socio-economic development and industrial complex of the region are significantly influenced by innovation and technological factors; to assess the innovation and technological factor in the article it is proposed to carry out mathematical modeling of innovation processes within the framework of the regional industrial complex; the stages of modeling these innovative processes are outlined; the use of a matrix of correlation indicators for the selection of factors is justified, which allows to systematically assess the relationship between various variables, helping to identify factors affecting regional development.

Publisher

Samara National Research University

Reference19 articles.

1. Network Model Of The Regional Innovation System Based On Industrial Complex Clustering

2. Balabanov I.T. Innovation management. Saint Petersburg: Piter, 2001, 304 p. (In Russ.)

3. Теоретические подходы к исследованию категории «инфраструктура обеспечения инновационной деятельности»

4. Vinokurtseva E.A. Systems for assessing and forecasting the prospects for the development of regional economic systems. In: Studies of young scientists: materials of the XLV International scientific conference (Kazan, October 2022). Kazan: Molodoi uchenyi, 2022, pp. 22–26. Available at: https://moluch.ru/conf/stud/archive/460/17417. (In Russ.)

5. Kurnosova E.A. Ensuring the competitiveness of service enterprises: the formation of innovative behavior. Russian economic online journal, 2009, no. 1, pp. 598–607. Available at: https://www.elibrary.ru/item.asp?id=17964687. EDN: https://www.elibrary.ru/pddduz. (In Russ.)

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