THE USE OF CLUSTER ANALYSIS TO ASSESS THE DEMOGRAPHIC POTENTIAL OF RUSSIAN REGIONS / Shubat Oksana,Bagirova Anna,Shmarova Irina // . - 2017. - V. , l. . - P. 53-59.

ISSN/EISSN:

нет данных / нет данных

Type:

Proceedings Paper

Abstract:

In recent years, Russia has been grappling with a serious economic crisis. The slowing pace of economic development is accompanied by adverse demographic trends. The purpose of our study is to assess the demographic potential of Russian regions and identifying groups that require the implementation of specific measures aimed at its development. We used hierarchical cluster analysis to model Russia's demographic space and segment regions with comparable problems related to forming demographic potential. Clustering was based on the indicators describing the demographic potential at the macro-level (regional) and meso-level (family level). The analysis identified the groups of regions that have the best and the worst conditions for the development of demographic potential. We proposed a set of measures that would be most relevant to the needs of specific groups of regions and could directly drive the development and actualisation of demographic potential. The analysis showed the need to use multi factor classification in the demographics of countries that have a high level of regional differentiation. Modelling the demographic space on the basis of cluster analysis can be seen as an element of the system of supporting administrative decision-making and the development of effective demographic policy.

Author keywords:

Cluster analysis; Demographic potential; Demographic policy; Russian regions

DOI:

нет данных

Web of Science ID:

ISI:000404420000009

Соавторы в МНС:

Другие поля

Поле	Значение
Editor	Paprika, ZZ and Horak, P and Varadi, K and Zwierczyk, PT and VidovicsDancs, A and Radics, JP
Booktitle	PROCEEDINGS - 31ST EUROPEAN CONFERENCE ON MODELLING AND SIMULATION ECMS 2017
Note	31st European Conference on Modelling and Simulation, ECMS 2017, Corvinus Univ Budapest, Corvinus Business Sch, Budapest, HUNGARY, MAY 23-26, 2017
Organization	European Council Modell \& Simulat; Budapest Univ Technol \& Econ; Central European Train Ctr Brokers Kozep-europai Brokerkepzo Alapitvany; Corvinus Univ Budapest, Corvinus Business Sch; KELER CCP Ltd; MVM Grp; CLASS Hungaria Kft; FEMALK Zrt
Publisher	EUROPEAN COUNCIL MODELLING \& SIMULATION
Address	SCHOOL COMPUTING \& MATHEMATICS, NOTTINGHAM TRENT UNIV, BURTON STREET, NOTTINGHAM, NG1 4BU, ENGLAND
Language	English
ISBN	978-0-9932440-4-9
Research-Areas	Computer Science; Business \& Economics; Engineering
Web-of-Science-Categories	Computer Science, Artificial Intelligence; Economics; Engineering, Industrial
Author-Email	o.m.shubat@urfu.ru a.p.bagirova@urfu.ru i.v.shmarova@urfu.ru
ResearcherID-Numbers	Bagirova, Anna/M-7440-2013 Shubat, Oksana/M-7443-2013
ORCID-Numbers	Bagirova, Anna/0000-0001-5653-4093 Shubat, Oksana/0000-0002-0929-8144
Funding-Acknowledgement	Act 211 Government of the Russian Federation {[}02.A03.21.0006]
Funding-Text	The work was supported by Act 211 Government of the Russian Federation, contract No 02.A03.21.0006.
Number-of-Cited-References	15
Usage-Count-Last-180-days	2
Usage-Count-Since-2013	2
Doc-Delivery-Number	BH9XI