Assessment of the socio-economic situation in the arctic municipal districts of the Arkhangelsk oblast based on the target model
Автор: Tutygin Andrey G., Chizhova Lyudmila A., Lovdin Evgeniy N.
Журнал: Арктика и Север @arcticandnorth
Рубрика: Северные и арктические социумы
Статья в выпуске: 46, 2022 года.
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The relevance of this study is due to the need to develop a fairly understandable and in some sense universal tool for assessing the socio-economic situation in municipalities (districts and settlements) with pronounced territorial specifics, with clearly insufficient statistical and information support. The authors, with references to the results of their own research and to the work of their colleagues, present a detailed analysis of the key problems characteristic of the territories of the Russian Arctic, compare them with a set of main external factors of influence in relation to municipalities. Using the SEER expert procedure scheme and the hierarchy analysis method, according to the two-level model proposed by the authors, complex point estimates of the socio-economic situation in the Arctic settlements and municipal districts of the Arkhangelsk Oblast are calculated. The paper notes that the factors that are directly related to transport accessibility have the greatest impact on the development targets of Arctic municipalities. Therefore, the transport and logistics component should be fundamental in all strategic, program and planning documents aimed at achieving the goals of socio-economic development of the Arctic municipalities - districts and settlements. The obtained estimates are proposed to be used in the development of management decisions that could become the basis of a comprehensive interdepartmental inter-municipal program for the socio-economic development of Arctic municipalities.
Arctic zone of the russian federation, municipality, district and settlement, socio-economic situation, expert assessment, target model, management decision-making
Короткий адрес: https://sciup.org/148323812
IDR: 148323812 | DOI: 10.37482/issn2221-2698.2022.46.170