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ИД «Финансы и кредит»






National Interests: Priorities and Security

Econometric analysis of innovative development drivers in the Russian economy

Vol. 14, Iss. 10, OCTOBER 2018

PDF  Article PDF Version

Received: 14 June 2018

Received in revised form: 25 July 2018

Accepted: 10 August 2018

Available online: 15 October 2018


JEL Classification: О32, O38, O39

Pages: 1943–1960


Istomina S.V. JSC Atomenergoproect, Rosatom State Corporation Company, Moscow, Russian Federation


Lychagina T.A. Joint Institute for Nuclear Research, Dubna, Moscow Oblast, Russian Federation


Pakhomova E.A. Dubna State University, Dubna, Moscow Oblast, Russian Federation


Subject The article deals with factors shaping the innovative potential and organizational and economic relations that arise during the formation and use of the innovative potential.
Objectives The research identifies key drivers of the national innovative potential.
Methods We continue setting up an instrumental and methodological approach to adapting the triple helix model to Russia. In this research, we investigate whether University, Industry and Government may cooperate on innovation. We determine it by evaluating how each element influences the origination of innovation.
Results Statistical data herein are divided into three parts by original space – Knowledge, Consensus and Innovation. The article presents econometric models allowing to find factors influencing the innovative potential of the national economy. Based on the models, we make statistically reasonable conclusions and assessments.
Conclusions and Relevance We identified fundamental factors influencing the number of innovations implemented in Russia for a 15-year period – the level of federal funding, percentage of innovative goods in the total number of goods shipped, specialists with academic degrees. Considering the interaction of the spaces, the Knowledge space acted positively. Summarizing results of quantitative analysis and available facts, we infer that the national economic growth becomes feasible if the State allocates more funding for innovative researches. However, the State should noticeably pay more attention to the national education and science.

Keywords: innovation potential, modeling, triple helix, correlation, regression analysis


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