THE USE OF CLUSTER ANALYSIS FOR DEMOGRAPHIC POLICY DEVELOPMENT: EVIDENCE FROM RUSSIA / Shubat Oksana,Bagirova Anna,Abilova Makhabat,Ivlev Anton // . - 2016. - V. , l. . - P. 159+.

ISSN/EISSN:

нет данных / нет данных

Type:

Proceedings Paper

Abstract:

Russia has been experiencing a demographic crisis since the 1990s. The most obvious manifestations include an excess of mortality over fertility rates, population decline and an ageing population. The last 20 years have seen considerable activity to come up with new demographic policy measures to mitigate these adverse trends, with single solutions developed for all regions in Russia. This paper presents the results of a study where cluster analysis was applied to enable the identification of groups of regions with significant differences in the dynamics of socio-demographic indicators. We used hierarchical cluster analysis to classify and group Russian regions on the basis of social and economic development indices for 2002 and 2008. The validity of the profiling was confirmed using parametric and non parametric tests. The analysis identified three clusters of Russian regions. These clusters have significant differences in socio-demographic indicators and the associated dynamics. The results of our analysis identified `growth points' for each cluster: the fertility correlates that should be factored into the development of effective demographic policy measures.

Author keywords:

Cluster analysis; Demographic policy; Fertility; Birth rate; Russian regions REGIONS

DOI:

нет данных

Web of Science ID:

ISI:000386310800021

Соавторы в МНС:

Другие поля

Поле	Значение
Editor	Claus, T and Hermann, F and Manitz, M and Rose, O
Booktitle	PROCEEDINGS - 30TH EUROPEAN CONFERENCE ON MODELLING AND SIMULATION ECMS 2016
Note	30th European Conference on Modelling and Simulation, ECMS 2016, Ostbayerische TH Regensburg, Regensburg, GERMANY, MAY 31-JUN 03, 2016
Organization	Ostbayerische TH Regensburg; Competence Ctr Software Engn; OptWare GmbH; SimPlan AG
Publisher	EUROPEAN COUNCIL MODELLING \& SIMULATION
Address	SCHOOL COMPUTING \& MATHEMATICS, NOTTINGHAM TRENT UNIV, BURTON STREET, NOTTINGHAM, NG1 4BU, ENGLAND
Language	English
ISBN	978-0-9932440-2-5
Keywords-Plus	REGIONS
Research-Areas	Operations Research \& Management Science
Web-of-Science-Categories	Operations Research \& Management Science
Author-Email	o.m.shubat@urfu.ru a.p.bagirova@urfu.ru abilova.mahabat@yandex.ru ivlevanton@bk.ru
ResearcherID-Numbers	Dorman, Valentina/R-4924-2016 Bagirova, Anna/M-7440-2013 Shubat, Oksana/M-7443-2013
ORCID-Numbers	Dorman, Valentina/0000-0001-9201-6680 Bagirova, Anna/0000-0001-5653-4093 Shubat, Oksana/0000-0002-0929-8144 Anton, Ivlev/0000-0002-1931-6879
Number-of-Cited-References	7
Usage-Count-Since-2013	4
Doc-Delivery-Number	BG0KM