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Demographic Ranking of the Baltic Sea States

Демографические рейтинги стран Балтийского региона
[journal article]

Sluka, N.
Ivanov, D.

Abstract

The relevance of the study lies in the acute need to modernise the tools for a more accurate and comparable reflection of the demographic reality of spatial objects of different scales. This article aims to test the methods of "demographic rankings" developed by Yermakov and Shmakov. The method is b... view more

The relevance of the study lies in the acute need to modernise the tools for a more accurate and comparable reflection of the demographic reality of spatial objects of different scales. This article aims to test the methods of "demographic rankings" developed by Yermakov and Shmakov. The method is based on the principles of indirect standardisation of the major demographic coefficients relative to the age structure.The article describes the first attempt to apply the method to the analysis of birth and mortality rates in 1995 and 2010 for 140 countries against the global average, and for the Baltic Sea states against the European average. The grouping of countries and the analysis of changes over the given period confirmed a number of demographic development trends and the persistence of wide territorial disparities in major indicators. The authors identify opposite trends in ranking based on the standardised birth (country consolidation at the level of averaged values) and mortality (polarisation) rates. The features of demographic process development in the Baltic regions states are described against the global and European background. The study confirmed the validity of the demographic ranking method, which can be instrumental in solving not only scientific but also practical tasks, including those in the field of demographic and social policy.... view less

Keywords
ranking; demography; standardization (meth.); demographic aging; birth trend; mortality; Baltic States; international comparison

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Population Studies, Sociology of Population

Document language
English

Publication Year
2014

Page/Pages
p. 22-34

Journal
Baltic Region (2014) 2

DOI
https://doi.org/10.5922/2079-8555-2014-2-2

ISSN
2079-8555

Status
Published Version; peer reviewed

Licence
Free Digital Peer Publishing Licence


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