Кластерные отношения в России и региональная политика развития кластеров
The article addresses the implications and preconditions for designing innovation policy for regions. Specifically the text shows the role and place of innovations in official socio-economic forecasts of Saint Petersburg and assesses the impact of clusters on enhancing competitiveness of the region.
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Nowadays, efficiency of scientific work is widely measured by publication performance. This procedure is mostly implemented on a micro level only: a scientist, a department, a university, etc. At the same time, there is no systemic mechanism or measurement structure on a sub-national level while other indices, including expenditures on scientific research are determined and planned on the regional level. This article proposes inter-temporal and inter-regional empirical analyses of the above-mentioned phenomenon on the subnational level of the Russian Federation. The authors argue that such an approach could be quite useful and effective for monitoring the situation on the sub-national level as it could create some additional opportunities. The research also embraces the cluster analysis of regional publications in the Russian Federation. The authors pay special attention to regional differentiation by Scopus/Web of Science, HAC and RSCI publications.
This document presents results of non-quantitative observations application and their processing methods, which significantly widen the analytical capabilities of the statistical measurement of the Russian IT market. The need to expand statistical tools that allow to reflect current and future trends in the sectoral development of IT sphere in a fast and visible manner, due to the rapid character of penetration of these services into the Russian market, is argued in the paper.
With the help of business climate indicators and construction of different homogeneous behavior models, analysis of business trends in the financial and economic activities of IT organizations is presented, highlighting the specifics of them functioning within the various cyclic episodes of 2010-2017.