Resource Potential for Innovation Development of the Russian Arctic Industry: Assessment and Significance

• Published in: Arctic and North
• Main Authors: Vyacheslav A. Tsukerman, Elena S. Goryachevskaya
• Format: Article in Journal/Newspaper
• Language: English; Russian
• Published: Northern Arctic Federal University 2022
• Subjects: resource potential; arctic; region; innovation development; methodology; indicator; socio; demo; Arctic; Murmansk; Chukotka; Chukotka Autonomous Okrug; Murmansk Oblast; nenets; Nenets Autonomous Okrug; Yamalo Nenets; Yamalo-Nenets Autonomous Okrug
• Online Access: https://doi.org/10.37482/issn2221-2698.2022.46.66; https://doaj.org/article/3b89dd1809e14bb5a004ad49c0aa48da

The aim of the work is to determine a scientifically based assessment of the resource potential of the Arctic industry, which determines the possibility of transition the economy to an innovation type of de-velopment, taking into account its specific features. The considered scientific works of foreign and domestic scientists made it possible to determine the methodology for rational assessment of the resource potential of the industry of the Arctic territories. The study was performed on the basis of production, technical, investment, staffing and innovation development indicators for 2013–2019. The study showed that in terms of production and technical indicators the Arctic regions generally have an average level of resource potential while the maximum values are typical for the Nenets and Yamalo-Nenets Autonomous Okrugs. In terms of investment indicators, the Arctic regions are characterized by high potential. In terms of staffing, the Arctic regions are characterized by low potential while Murmansk Oblast demonstrated effective personnel policy. Innovation development indicators of the Nenets Autonomous Okrug and the Murmansk Oblast are lower than in the Chukotka and Yamalo-Nenets Autonomous Okrugs. The Arctic regions are characterized by the differentiation of indicators of resource provision of economic development associated with differences in production, investment, personnel and innovation spheres. The study showed that the highest aggregate resource potential for innovation development is typical for the Yamalo-Nenets Autonomous Okrug while the lowest one is typical for the Chukotka Autonomous Okrug and the Murmansk Oblast. Proposals for further scientific research in the direction of enhancing innovation and accordingly increasing socio-economic indicators of the Arctic regions were developed.