Socioeconomic problems in development of the Russian Arctic zone

Татаркин, А. И.; Loginov, V. G.; Zakharchuk, E. A.

doi:10.1134/s101933161701004x

Cited by 12 publications

(3 citation statements)

References 1 publication

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“…These are poorly developed territories which have a certain economic potential (Borisov & Pochukaeva, 2016;Komkov, et al, 2017;Korovkin, 2016). Developing these territories is claimed to be one of the top priorities for a balanced development of the Russian Federation (Gutman et al, 2018;Romashkina et al, 2017;Tatarkin et al, 2017). Developing an effective cluster-based policy, which relies on the results of comprehensive and multidimensional analysis, is key for long-term socioeconomic growth of the Russian Arctic regions (Komkov et al, 2017;Rytova et al, 2017).…”

Section: Entrepreneurship and Sustainability Issuesmentioning

confidence: 99%

Modeling cluster development using programming methods: case of Russian Arctic regions

Kudryavtseva¹,

Skhvediani²,

Berawi³

2020

JESI

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The aim of this research is to show how the process of data analysis can be automated through development of an information system. The information system can be used for the identification of economic clusters and analysis of the regional potential for economic growth. The authors used data on the Russian Arctic regions with extreme social, geographical, and economic conditions collected from 2009 to 2016 as an example. The authors have designed a database using MS Access software. The authors used the methodology of the European cluster observatory and the approach suggested by M. Porter to identify economic clusters. This methodology was complemented by introduction parameters, which mirror the strength and employment dynamic of the clusters. Based on the employment data of 83 Russian regions during the period of 2009-2016 the authors have calculated cluster localization parameters for nine Russian regions, which are partly or fully located in the Arctic zone. The authors suggest that the cluster structure in this area is weak and most of the significant clusters are declining. The only significant cluster, which is growing in all regions, is the «Oil and Gas» cluster. In conclusion, the authors state that the obtained results are vital for policy makers and can be used for elaborating the regional economic development strategy in order to support regional diversification and specialization, which are closely related to positive spillovers.

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Section: Entrepreneurship and Sustainability Issuesmentioning

confidence: 99%

Modeling cluster development using programming methods: case of Russian Arctic regions

Kudryavtseva¹,

Skhvediani²,

Berawi³

2020

JESI

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“…Sharing the position of scientific experts, actualizing the question of fair distribution of rental income [26], it is advisable to establish a regional development fund, the source of which will be a fixed part of the mineral extraction tax. The expenditure of the fund must be targeted [27]. Resources of the fund should be directed to development of social infrastructure, formation of labor potential, solution of environmental problems.…”

Section: Concretization Of Directions Of the Fiscal Policy Taking Intmentioning

confidence: 99%

Formation of Fiscal Conditions for Stirring up Self-Development Processes in Northern Regions of RF

Barasheva¹

2020

Proceedings of the International Scientific Conference "Far East Con" (ISCFEC 2020)

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The process of transforming regions into self-developing ones presupposes availability of financial resources enabling them to carry out independent financial and economic policies. The state fiscal regulation, being a tool for managing the development of territories, should contribute to enhancing the process of self-development in the northern regions by creating incentives for all participants of economic relations to search for additional financial sources, and full use of territorial resources and opportunities. The paper assesses the regulatory impact of the state fiscal policy on the development of northern regions of the Russian Federation. It is shown that the federal tax regulation does not provide the required stimulating effect for economic agents of the northern regions toward their development and active participation in territorial economic processes. It is shown that a high degree of centralization of tax powers determines the leading role of federal tax legislation in the management of regional processes. An obstacle to implementation of regional tax initiatives are limited financial resources of territorial budgets. It is determined that the consequence of budgetary regulation is the preservation of negative trends in the budget system of the northern regions. The low fiscal capacity of the northern regions causes difficulties for socioeconomic policy and does not contribute to increasing living standard of the population. The practical significance of the study is in identification of topical problems of fiscal relations, development of directions of the fiscal policy and mechanisms of fiscal regulation. The proposed by the author typology of northern regions of the Russian Federation identifying groups of regions depending on their financial potentialities and level of economic potential as well as regional problems of development of the northern regions became the basis for substantiation of the state policy directions. 1. Introduction

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“…Одной из наиболее актуальных в современных геоэкономических условиях является арктическая тематика, в том числе в ее геоэкономическом измерении [28][29], проводимая как в рамках программ (например, «Сценарные подходы к реализации уральского вектора освоения и развития российской Арктики в условиях мировой нестабильности»), так и гранта РНФ («Обоснование геоэкосоциоэкономического подхода к оценке и использованию природно-ресурсного потенциала северных малоизученных территорий в рамках инвестиционного проекта "Арктика -Центральная Азия"», руководитель академик РАН А. И. Татаркин) [30][31][32].…”

Section: институт экономики уро ран -связующее звено в исследованиях unclassified

Global Economic Relations of a Region in the Investigations of the Institute of Economics of the Ural Branch of the Russian Academy of Sciences

Andreeva¹,

Mal'Tsev²,

Maslennikov³

et al. 2018

EoR

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Socioeconomic problems in development of the Russian Arctic zone

Cited by 12 publications

References 1 publication

Modeling cluster development using programming methods: case of Russian Arctic regions

Modeling cluster development using programming methods: case of Russian Arctic regions

Formation of Fiscal Conditions for Stirring up Self-Development Processes in Northern Regions of RF

Global Economic Relations of a Region in the Investigations of the Institute of Economics of the Ural Branch of the Russian Academy of Sciences

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