Identification of Territorial Industrial Clusters of Russian Economy in View of Their Involvment into the Development of the State Innovation Policy
Elena I. Dorokhova1, Vladimir M. Moskovkin2, Elena N. Kamishanchenko3, Astgik E. Akopyan4, Larisa V. Solovyeva5, Natalia A. Saprikina6, Yuliya L. Rastopchina7
1Elena I. Dorokhova, Belgorod State National Research University, Pobedy St. Belgorod 308015 Russian Federation
2Vladimir M. Moskovkin, Belgorod State National Research University, Pobedy St. Belgorod 308015 Russian Federation
3Elena N. Kamishanchenko, Belgorod State National Research University, Pobedy St. Belgorod 308015 Russian Federation
4Astgik E. Akopyan, Belgorod State National Research University, Pobedy St. Belgorod 308015 Russian Federation
5Larisa V. Solovyeva, Belgorod State National Research University, Pobedy St. Belgorod 308015 Russian Federation.
6Natalia A. Saprikina, Belgorod State National Research University, Pobedy St. Belgorod 308015 Russian Federation.
7Yuliya L. Rastopchina, Belgorod State National Research University, Pobedy St. Belgorod 308015 Russian Federation.
Manuscript received on 15 September 2019 | Revised Manuscript received on 24 September 2019 | Manuscript Published on 10 October 2019 | PP: 1076-1082 | Volume-8 Issue-6S2, August 2019 | Retrieval Number: F13220886S219/19©BEIESP | DOI: 10.35940/ijeat.F1322.0886S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The article is devoted to the important role of clusters in the innovative development of the economy. The article reviews the particularities and regulatory support of the modern clustering policy of the Russian Federation. The results of the activities of 25 pilot innovative territorial cluster-leaders of the Russian Federation in terms of investment potential in 2012-2018 were estimated in the article. The original method of identification of the innovative territorial clusters was suggested in the article, its main advantages being universalism, comprehensiveness and credibility. Using this methodology, the authors of the article identified the territorial industrial clusters and ranged them according to their innovation potential.
Keywords: Cluster, Cluster Policy, Innovation Cluster, Identification of Clusters, Innovation Territorial Cluster, Location Quotient (LQ), Size and Focus of Clusters.
Scope of the Article: Industrial Internet of Things (IIoT)