Abstract
Based on 15 indicators of socio-economic situation, an integral indicator of the assessment of investment attractiveness was formed and ranking the subjects of the Russian Federation, which are part of the Volga Federal District. As a result of hierarchical cluster analysis, the Volga Regions are distributed in five clusters, taking into account the standard of living of the population, financial opportunities and industrial production dynamics in 2018. From the point of view of authors, the obtained classification of regions can be used in making decisions on the implementation of investment projects in the Volga Federal District
Highlights
На основе 15 показателей социально-экономического положения сформирован показатель оценки инвестиционной привлекательности и выполнено ранжирование субъектов РФ, входящих в состав ПФО
As a result of hierarchical cluster analysis, the Volga Regions are distributed in five clusters, taking into account the standard of living of the population, financial opportunities and industrial production dynamics in 2018
From the point of view of authors, the obtained classification of regions can be used in making decisions on the implementation of investment projects in the Volga Federal District
Summary
МИТРОФАНОВ Евгений Петрович Кандидат экономических наук, доцент, заведующий кафедрой информационных технологий и прикладной математики Московский государственный гуманитарно-экономический университет, ул. MITROFANOV Evgenii Petrovich Candidate of sciences (economics), associate professor, head of the Department of Information Technology and Applied Mathematics Moscow State University of Humanities and Economics, 49, Losinoostrovskaya Street, Moscow, Russia, 107150. INVESTMENT ATTRACTIVENESS OF REGIONS: CLASSIFICATION ANALYSIS FOR THE VOLGA FEDERAL DISTRICT. Investment attractiveness of region, principal component method, hierarchical cluster analysis, clusters, Volga Federal District. Результаты анализа инвестиционной привлекательности страны / региона широко используются потенциальными инвесторами при принятии решений, что способствует выявлению факторов инвестиционной привлекательности территорий, а также формированию новых и усовершенствованию существующих методов её оценки. Цель факторного и классификационного анализа в данном случае – определение направлений по повышению инвестиционной привлекательности регионов Приволжья.
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