IDENTIFICATION OF TYPICAL PROFILES OF REGIONS WITH A TENDENCY TO GROWTH IN SOCIAL TENSION BASED ON ANALYSIS OF STATISTICS DATA OF FEDERATION SUBJECTS (FIRST HALF 2020)

Currently, in connection with the unfolding economic and social crisis, methods of forecasting social and ethno-cultural tensions in the regions of the Russian Federation are becoming more and more relevant in order to timely prevent and prevent social explosions. Purpose – forecasting zones of soc...

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Autor principal:	Natalia Vladimirovna Kuzina
Formato:	article
Lenguaje:	EN RU
Publicado:	Science and Innovation Center Publishing House 2020
Materias:	экономическая политика социальная политика безопасность пандемия регионоведение социальная напряженность Law K Social Sciences H
Acceso en línea:	https://doaj.org/article/bfbd5c594b764494ba2161fae4b063ce
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spelling	oai:doaj.org-article:bfbd5c594b764494ba2161fae4b063ce2021-12-02T17:21:43ZIDENTIFICATION OF TYPICAL PROFILES OF REGIONS WITH A TENDENCY TO GROWTH IN SOCIAL TENSION BASED ON ANALYSIS OF STATISTICS DATA OF FEDERATION SUBJECTS (FIRST HALF 2020)2070-756810.12731/2070-7568-2020-4-166-206https://doaj.org/article/bfbd5c594b764494ba2161fae4b063ce2020-12-01T00:00:00Zhttp://journal-s.org/index.php/nk/article/view/13059https://doaj.org/toc/2070-7568Currently, in connection with the unfolding economic and social crisis, methods of forecasting social and ethno-cultural tensions in the regions of the Russian Federation are becoming more and more relevant in order to timely prevent and prevent social explosions. Purpose – forecasting zones of social tension and possible local social explosions on the basis of available statistical data on the economic and social life of the regions; identification of factors-indicators of a possible social explosion; description of the main profiles of regions with a high level of risk of increasing social tension. Research methodology. We analyzed 70 indicators of the economic, financial, demographic, social situation in the regions of the Russian Federation in the first half of 2020 (January-June, January-July) in order to identify the most vulnerable regions (data from the Main Directorate of the Ministry of Internal Affairs, the General Prosecutor’s Office of Russia, Federal Service statistics of Russia, the Ministry of Education and Science of Russia, Ministry of Health of Russia). The data were processed using nonparametric methods of mathematical statistics (correlation analysis, STATISTICA 13 package). Results. Two main profiles of regions with a tendency to an increase in social tension were identified. Practical implications. The findings of the study will be useful for government bodies at the federal and regional levels, for political parties, large consulting, logistics and insurance companies, federal retailers.Natalia Vladimirovna KuzinaScience and Innovation Center Publishing Housearticleэкономическая политикасоциальная политикабезопасностьпандемиярегионоведениесоциальная напряженностьLawKSocial SciencesHENRUНаука Красноярья, Vol 9, Iss 4, Pp 166-206 (2020)
institution	DOAJ
collection	DOAJ
language	EN RU
topic	экономическая политика социальная политика безопасность пандемия регионоведение социальная напряженность Law K Social Sciences H
spellingShingle	экономическая политика социальная политика безопасность пандемия регионоведение социальная напряженность Law K Social Sciences H Natalia Vladimirovna Kuzina IDENTIFICATION OF TYPICAL PROFILES OF REGIONS WITH A TENDENCY TO GROWTH IN SOCIAL TENSION BASED ON ANALYSIS OF STATISTICS DATA OF FEDERATION SUBJECTS (FIRST HALF 2020)
description	Currently, in connection with the unfolding economic and social crisis, methods of forecasting social and ethno-cultural tensions in the regions of the Russian Federation are becoming more and more relevant in order to timely prevent and prevent social explosions. Purpose – forecasting zones of social tension and possible local social explosions on the basis of available statistical data on the economic and social life of the regions; identification of factors-indicators of a possible social explosion; description of the main profiles of regions with a high level of risk of increasing social tension. Research methodology. We analyzed 70 indicators of the economic, financial, demographic, social situation in the regions of the Russian Federation in the first half of 2020 (January-June, January-July) in order to identify the most vulnerable regions (data from the Main Directorate of the Ministry of Internal Affairs, the General Prosecutor’s Office of Russia, Federal Service statistics of Russia, the Ministry of Education and Science of Russia, Ministry of Health of Russia). The data were processed using nonparametric methods of mathematical statistics (correlation analysis, STATISTICA 13 package). Results. Two main profiles of regions with a tendency to an increase in social tension were identified. Practical implications. The findings of the study will be useful for government bodies at the federal and regional levels, for political parties, large consulting, logistics and insurance companies, federal retailers.
format	article
author	Natalia Vladimirovna Kuzina
author_facet	Natalia Vladimirovna Kuzina
author_sort	Natalia Vladimirovna Kuzina
title	IDENTIFICATION OF TYPICAL PROFILES OF REGIONS WITH A TENDENCY TO GROWTH IN SOCIAL TENSION BASED ON ANALYSIS OF STATISTICS DATA OF FEDERATION SUBJECTS (FIRST HALF 2020)
title_short	IDENTIFICATION OF TYPICAL PROFILES OF REGIONS WITH A TENDENCY TO GROWTH IN SOCIAL TENSION BASED ON ANALYSIS OF STATISTICS DATA OF FEDERATION SUBJECTS (FIRST HALF 2020)
title_full	IDENTIFICATION OF TYPICAL PROFILES OF REGIONS WITH A TENDENCY TO GROWTH IN SOCIAL TENSION BASED ON ANALYSIS OF STATISTICS DATA OF FEDERATION SUBJECTS (FIRST HALF 2020)
title_fullStr	IDENTIFICATION OF TYPICAL PROFILES OF REGIONS WITH A TENDENCY TO GROWTH IN SOCIAL TENSION BASED ON ANALYSIS OF STATISTICS DATA OF FEDERATION SUBJECTS (FIRST HALF 2020)
title_full_unstemmed	IDENTIFICATION OF TYPICAL PROFILES OF REGIONS WITH A TENDENCY TO GROWTH IN SOCIAL TENSION BASED ON ANALYSIS OF STATISTICS DATA OF FEDERATION SUBJECTS (FIRST HALF 2020)
title_sort	identification of typical profiles of regions with a tendency to growth in social tension based on analysis of statistics data of federation subjects (first half 2020)
publisher	Science and Innovation Center Publishing House
publishDate	2020
url	https://doaj.org/article/bfbd5c594b764494ba2161fae4b063ce
work_keys_str_mv	AT nataliavladimirovnakuzina identificationoftypicalprofilesofregionswithatendencytogrowthinsocialtensionbasedonanalysisofstatisticsdataoffederationsubjectsfirsthalf2020
_version_	1718381047744299008

IDENTIFICATION OF TYPICAL PROFILES OF REGIONS WITH A TENDENCY TO GROWTH IN SOCIAL TENSION BASED ON ANALYSIS OF STATISTICS DATA OF FEDERATION SUBJECTS (FIRST HALF 2020)

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