Targeted management of innovative development of Russian regions

Cherednichenko, Larisa; Губарев, Р. В.; Dzyuba, Evgeniy; Fayzullin, Fanil

doi:10.21638/spbu05.2020.207

Cited by 2 publications

(1 citation statement)

References 1 publication

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“…However, the situation in the future until 2027 indicates a gradual recovery of the economy. In addition, it can be noted that the Russian Federation has adopted strategies for the digital transformation of the regions [3], which are aimed at introducing new projects to restore and modernize healthcare, the economy (including production), and the environment. The forecast data is confirmed by the plans of the presented strategies.…”

Section: Introductionmentioning

confidence: 99%

Models for forecasting indicators based on neural network, regression analysis, and big data

Tuskov

Efimov²,

Saparova

et al. 2023

2nd International Conference on Computer Applications for Management and Sustainable Development of Production and Industry (CM

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The article discusses an approach to the analysis of static information based on the use of neural network technologies and regression models. The forecast for the neural network was made on the basis of official statistics, data on the development of advanced technologies, and also taking into account the current situation in the dynamics of the incidence in Russia for the period from 2003 to 2020. As a result, forecasts for the next 5 years were determined. Growth is expected to continue, but at a slower pace. At this stage, the incidence and the introduction of quarantine measures adversely affect the situation and lead to a reduction in consumption. It is worth noting that the trends in the production of innovative technologies will continue, despite the negative consequences of the pandemic. This is evidenced by forecast data.

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Section: Introductionmentioning

confidence: 99%

Models for forecasting indicators based on neural network, regression analysis, and big data

Tuskov

Efimov²,

Saparova

et al. 2023

2nd International Conference on Computer Applications for Management and Sustainable Development of Production and Industry (CM

View full text Add to dashboard Cite

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Innovation Activity of Russian Regions: Problems and Solutions

Cherednichenko

Nikolayan

2023

Scientific Research and Development. Economics of the Firm

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The article is devoted to the issue of innovative development of Russian regions. The place of Russia in the global ranking in terms of innovation is shown. The problem of interregional inequality in the level of innovative development is identified and the factors that negatively affect the demand for innovation in the regions of Russia are identified. Some measures to reduce interregional inequality in the field of innovation are proposed.

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Targeted management of innovative development of Russian regions

Cited by 2 publications

References 1 publication

Models for forecasting indicators based on neural network, regression analysis, and big data

Models for forecasting indicators based on neural network, regression analysis, and big data

Innovation Activity of Russian Regions: Problems and Solutions

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