INNOVATION CAPACITY OF THE REGIONS OF SIBERIAN FEDERAL DISTRICT: STATUS AND DYNAMICS
Владимирова, Ольга Николаевна
Малаховская, Марина Владимировна
Петрова, Аида Талятовна
Руйга, Ирина Рудольфовна
Хусаинов, Манон Камарович
Институт управления бизнес-процессами и экономики
Кафедра экономики и управления бизнес-процессами
Кафедра бухгалтерского учета, анализа и аудита
Journal Name:JOURNAL OF APPLIED ECONOMIC SCIENCES
Journal Quartile in Scopus:Q3
Bibliographic Citation:Владимирова, Ольга Николаевна. INNOVATION CAPACITY OF THE REGIONS OF SIBERIAN FEDERAL DISTRICT: STATUS AND DYNAMICS [Текст] / Ольга Николаевна Владимирова, Марина Владимировна Малаховская, Аида Талятовна Петрова, Ирина Рудольфовна Руйга, Манон Камарович Хусаинов // JOURNAL OF APPLIED ECONOMIC SCIENCES. — 2017. — Т. 12 (1 (47)). — С. 124-138
Considerable changes in the income flows and in the structure of the expenses for mobilization of resources in the system of the economy generate the demand for innovations. The differences between the approaches to the regional innovation status estimation predetermine the differences in the tools for the implementation of the state innovation policy. The possibility to establish the interrelations between the specific features of regional economies and the quality of their innovation capacity serves as an indicator of the opportunity for regulatory intervention into innovation practices. Institutional analysis and the application of the ranking approach to the array of the public domain data on the contents, resources and the results of regional innovation systems in Siberian Federal District made it possible to suggest the methodology of indicative estimation of innovation capacity of the territorial subjects of the Russian Federation and to establish the interrelations between the rating change and the nature of innovations. The rating of the regions of Siberian Federal District is a result of the monitoring of innovation capacity of the regions and of the determination of the values of the indicators. Classification of the regions based on the initial level and on the innovation capacity rating change is represented by the matrix of the diverse tools for the regulation of the innovation systems that possess different quality of innovation capacity. The results of the undertaken investigation provide the foundations for the state regulatory authorities to formulate the effective approach to the implementation of the innovation policy taking into account the maturity of the innovation system in the region.
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