title: ÐÐ´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ ÐºÐ»Ð°ÑÑÐµÑÐ¾Ð² Ð½Ð° ÑÐµÑÑÐ¸ÑÐ¾ÑÐ¸Ð¸ Ð Ð¾ÑÑÐ¸Ð¸ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÐ¸Ð½ÑÐµÐ·Ð° ÑÑÐ½ÐºÑÐ¸Ð¾Ð½Ð°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð¸ Ð¿ÑÐ¾ÑÑÑÐ°Ð½ÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¿Ð¾Ð´Ñ Ð¾Ð´Ð¾Ð²
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Identification of clusters on the territory of Russia based on the synthesis of functional and spatial approaches
Creators: name: Ð¯ÐºÐ¾Ð²Ð»ÐµÐ²Ð°, ÐÐ°Ð»ÐµÑÐ¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: ÐÐ»Ð°ÑÑÐµÑÑ
Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ ÐºÐ»Ð°ÑÑÐµÑÐ¾Ð²
Ð¼ÐµÐ¶Ð¾ÑÑÐ°ÑÐ»ÐµÐ²ÑÐµ ÑÐ²ÑÐ·Ð¸
ÑÐ°Ð±Ð»Ð¸ÑÐ° Ð·Ð°ÑÑÐ°ÑÑ-Ð²ÑÐ¿ÑÑÐº
ÐºÐ»Ð°ÑÑÐµÑÐ½Ð°Ñ ÑÑÑÑÐºÑÑÑÐ° ÑÐµÑÑÐ¸ÑÐ¾ÑÐ¸Ð¸
ÐºÐ¾ÑÑÑÐ¸ÑÐ¸ÐµÐ½Ñ Ð»Ð¾ÐºÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸
cluster identification
intersectoral linkages
input-output table
territorial cluster structure
localization coefficient

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description: Topic of the thesis: Â«Identification of clusters on the territory of Russia based on the synthesis of functional and spatial approachesÂ». The aim of the study is to identify clusters on the territory of the Russian Federation based on the synthesis of functional and spatial approaches. The tasks that were solved in the course of the study: - to analyze existing methods of cluster identification; - to develop a methodology for cluster identification, combining functional and spatial approaches; - to analyze inter-industry interactions on the basis of the Input; - Output table of 2016 and identify the structure of clusters; - determine the spatial localization of clusters and their constituent industries. Based on the adaptation of Russian and foreign experience, the author's methodology for constructing cluster benchmarks, combining functional and spatial approaches, was compiled and tested. Using the method of maximum on the basis of "Input-Output" table of 2016, functional connections between industries in relation to main suppliers and main consumers were determined. The spatial localization of clusters and their constituent industries was identified by calculating the localization coefficient and finding statistically significant values of the indicator. The author identified 22 clusters in the Russian economy and proposed recommendations for the development of industries that form production chains.