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Innovative approaches in digital modeling of regional economic processes


Beilin I.L.
(about the author)

Beilin Igor Leonidovich – (Kazan Federal University)

Published in:
Russian Journal of Innovation Economics
– Volume 9, Number 2 (April-June 2019)

JEL classification: C02, O32, R15

Keywords: digital economy, econometrics, industrial economics, innovation management, modeling of economic processes


Citation:
Beilin I.L. (2019). Innovative approaches in digital modeling of regional economic processes. Russian Journal of Innovation Economics, 9(2), 361-382. doi: 10.18334/vinec.9.2.40499


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Abstract:

The article proposes for the first time the use of the method of analytical segmentation for the formation of regional investment portfolios of small innovative enterprises, based on a wide range of their own research and development. These are enterprises established in accordance with No. 209 FZ, for the support of which, in the first place, the programs of the Foundation for the Promotion of the Development of Small Enterprises in the Scientific and Technical Field (Foundation for the Promotion of Innovations) are directed. These include the programs "START", "Development", "Commercialization", "Cooperation". The digital model realizes the possibilities of the on-line segmentation correction mode and the investment share of regional innovation project portfolios depending on changes in the financial, economic, technological and operational characteristics of the innovation product. Based on network planning methods, an innovative digital investment model of a small innovative enterprise has been formed, a critical path and funding reserves have been determined.


Highlights:

The article presents digital models of the formation of investment portfolios in enterprises that implement a set of innovative projects on their own scientific and technical developments at the regional level.
Analytical digital segmentation seems to be an effective tool for grouping a multitude of regional innovation projects across their technical, economic, financial and operational characteristics for a large number of investors with different requirements.
Digital models for financing innovation project portfolios using the sectoral method and the method of network planning potentials create opportunities for designing critical paths and funding reserves.








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