Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/131846
Title: Methodological foundations and Modern methods of the population projection
Authors: Nifantova, R. V.
Issue Date: 2013
Publisher: Institute of Economics, Ural Branch of the Russian Academy of Sciences
Институт экономики Уральского отделения РАН
Citation: Nifantova R. V. Methodological foundations and Modern methods of the population projection / R. V. Nifantova // Economy of Region. — 2013. — Iss. 2. — P. 185-192.
Abstract: In the article, the author classified the methods of population projection on the basis of generalization of extensive theoretical and empirical data of national and foreign researchers. Particularly, the method of shifting ages or the component-method was allocated. The article emphasizes the approaches of possible hypotheses of demographic processes' development on the long and short run. The author in detail submitted the list of factors, which most can affect dynamics of birth rate, mortality, migratory mobility of the population in Russia in the short term, such as stability of economic growth; growth of living standards and quality of life of the population; maintenance of traditional family values; health system improvement; improvement of ecological situation, etc. As an example, the author presented her own calculation results of the expected number of the population of a municipal unit «city of Yekaterinburg» up to 2030. Further, analysis of the obtained data was made. In the paper, the importance of population projection for socioeconomic planning of development of the country as a whole and its certain territories is shown.
Keywords: ANALYSIS
BIRTH RATE
DEMOGRAPHICS
HYPOTHESIS
METHODS AND VARIANTS OF THE FORECASTING
MIGRATION
MORTALITY
POPULATION
PREVISION
SITUATION
URI: http://elar.urfu.ru/handle/10995/131846
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 84979726373
ISSN: 2411-1406
2072-6414
DOI: 10.17059/2013-2-20
Origin: Экономика региона. 2013. Выпуск 2
Appears in Collections:Economy of Regions

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