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Население и экономика
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Fertility in the Yamal–Nenets Autonomous Okrug

Authors: Archangelsky,Vladimir;

Fertility in the Yamal–Nenets Autonomous Okrug

Abstract

The article is devoted to the analysis of fertility indicators in the Yamal–Nenets Autonomous Okrug. Along with the total fertility rate for all births, the author traces the dynamics of birth order-specific fertility rates, as well as actual cohort fertility rates estimated by 2010 All-Russian census data. Particular attention is paid to the differences between these indicators in urban districts and municipal areas of the region. When considering the possible relationship of fertility indicators with the implementation of regional measures of demographic policy, special attention is paid to third and subsequent births, the level and dynamics of which can be influenced by the amount of regional maternal (family) capital, which is larger in the Yamal–Nenets Autonomous Okrug than in other federal subjects of Russia. The results of the analysis show that the Yamal–Nenets Autonomous Okrug is among regions with a relatively high level and a young model of fertility. To a greater extent, this manifests itself in the second, third and subsequent births.

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Keywords

total fertility rate, HB1-3840, Yamal–Nenets Autonomous Okrug, order of birth, demographic policy, Economic theory. Demography, age-specific fertility, cohort fertility

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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