Статьи журнала - Arctic and North
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Статья научная
The study of economic processes in the regions of the Arctic Zone of the Russian Federation (AZRF) using economic-statistical modelling methods is an important area of Arctic research due to the possibility of displaying statistically significant relationships of economic processes and phenomena and forecasting economic dynamics, but the potential of such modelling is limited by the specificity of the processes of a number of regional economies in the Arctic, distorted by the increased state presence and active management intervention in the Arctic. Therefore, economic and statistical studies of the Russian Arctic regions are rare in relation to the popularity of the Arctic topics in regional studies. The aim of the study is economic- statistical modelling of production processes in the regions of the AZRF using the production function (PF) toolkit. At the first stage, the analysis of correlations between GRP and factors of production was carried out, on the basis of which the AZRF regions were divided into three groups: 1) regions in which the mutual behavior of the main factors of production (labor and capital) fits into the generally accepted concepts (the Russian Federation as a whole, the Nenets Autonomous Okrug, the Yamalo-Nenets Autonomous Okrug, the Republic of Sakha (Yakutia)); 2) regions in which the mutual behavior of the main factors of production does not fit into the classical concepts: there is a sufficiently strong positive relationship with only one of the factors of production (the Arkhangelsk Oblast, the Krasnoyarsk Krai, the Komi Republic); 3) regions for which there is no sufficiently strong positive relationship between GRP and factors of production (the Murmansk Oblast, the Republic of Karelia, the Chukotka Autonomous Okrug). At the second stage, at least 4 PF models were built for the regions of group 1 (the best model was selected using the Akaike information criterion adjusted for small samples). For the regions of group 2, Cobb-Douglas PF models and single-factor models were built, in which a factor with a positive relationship with GRP was included. The construction of PF models for the regions of group 3 is impossible.
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Статья научная
Instability of production and the decline of the export share in the world commodity turnover show increasing problems in the forest industry of Nordic countries. The article represents the retrospective analysis of the Northern forest industry development in Norway, Finland, Sweden, Canada and Denmark. The obtained results give us an opportunity to identify the main economic and environmental problems of the Northern forest industry and its development prospects.
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Статья научная
The article provides a systematic analysis of the critical economic and legal factors affecting the current state of cargo flow in the Northern Sea Route in the convergence of the Asian and European markets. First of all, these are legal norms, environmental standards, economic efficiency and organizational and managerial motives, and the development of transport and port infrastructure along the route of the “historically developed national unified transport communication of Russia in the Arctic”. The authors propose specific steps and recommendations to overcome obstacles that create an unfavorable barrier environment for logistics companies to strengthen cooperation and interaction on an equal and mutually beneficial basis with Russia and counterparty partners in the market. These include irregular deliveries due to the seasonal functioning of the transport route and ice conditions, a high level of tariffs due to low cargo flow, and the inability to transport return goods. Particular attention is paid to the need for international cooperation to implement large infrastructure projects for the development of the NSR and the industrial and economic development of the Arctic territories. The authors propose specific steps and recommendations to overcome obstacles that create an unfavorable barrier environment for logistics, stevedoring and insurance companies, infrastructure operators, ship-owners and regulatory authorities to enhance cooperation and interaction on Russia’s equal and mutually beneficial basis and counterparty partners in the international market.
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