Typology of the Transformation of the Age Structure in Russian Regions

IF 0.5 Q3 AREA STUDIES Ekonomika Regiona-Economy of Region Pub Date : 2023-01-01 DOI:10.17059/ekon.reg.2023-3-15
O. O. Sekicki-Pavlenko
{"title":"Typology of the Transformation of the Age Structure in Russian Regions","authors":"O. O. Sekicki-Pavlenko","doi":"10.17059/ekon.reg.2023-3-15","DOIUrl":null,"url":null,"abstract":"Assessment of changes in the age structure in Russia is relevant due to the increasing ageing of the population and implementation of demographic policy measures. The study aims to develop a typology of the transformation of the age structure in Russian regions. It is hypothesised that differences in the speed and direction of transformation cause the formation of various types and subtypes of age structure. Official data of the Federal State Statistics Service were analysed: “Demographic Yearbook of Russia”; “Supplement to the Demographic Yearbook of Russia”; statistical bulletins “Population of the Russian Federation by sex and age”. As a result, Russian regions were grouped based on 6 types and 18 subtypes of the transformation of the age structure. Calculation of the ageing index revealed the following 6 types of age structure: very young, young, on the eve of old age, moderately old, old, and very old. The most common are regions with moderately old age structure (38.1 %), followed by regions with old age structure (25 %) and very old age structure (19 %). Regions classified as “on the eve of old age”, “young” and “very young” together account for no more than 18 %. The ageing dynamics index was calculated to identify 18 subtypes of the transformation of the age structure. The ageing trend is observed in 80 Russian regions: slow ageing of the population is recorded in 52 constituent entities, and increased ageing — in 28 regions. The rejuvenation trend is characteristic only for 4 regions: the Republic of Tuva, Moscow oblast, Saint Petersburg and the Republic of Crimea. The obtained results can be used by public authorities to improve regional demographic policy.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"38 1","pages":"0"},"PeriodicalIF":0.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ekonomika Regiona-Economy of Region","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17059/ekon.reg.2023-3-15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AREA STUDIES","Score":null,"Total":0}
引用次数: 0

Abstract

Assessment of changes in the age structure in Russia is relevant due to the increasing ageing of the population and implementation of demographic policy measures. The study aims to develop a typology of the transformation of the age structure in Russian regions. It is hypothesised that differences in the speed and direction of transformation cause the formation of various types and subtypes of age structure. Official data of the Federal State Statistics Service were analysed: “Demographic Yearbook of Russia”; “Supplement to the Demographic Yearbook of Russia”; statistical bulletins “Population of the Russian Federation by sex and age”. As a result, Russian regions were grouped based on 6 types and 18 subtypes of the transformation of the age structure. Calculation of the ageing index revealed the following 6 types of age structure: very young, young, on the eve of old age, moderately old, old, and very old. The most common are regions with moderately old age structure (38.1 %), followed by regions with old age structure (25 %) and very old age structure (19 %). Regions classified as “on the eve of old age”, “young” and “very young” together account for no more than 18 %. The ageing dynamics index was calculated to identify 18 subtypes of the transformation of the age structure. The ageing trend is observed in 80 Russian regions: slow ageing of the population is recorded in 52 constituent entities, and increased ageing — in 28 regions. The rejuvenation trend is characteristic only for 4 regions: the Republic of Tuva, Moscow oblast, Saint Petersburg and the Republic of Crimea. The obtained results can be used by public authorities to improve regional demographic policy.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
俄罗斯地区年龄结构转型的类型学研究
由于人口日益老龄化和人口政策措施的实施,对俄罗斯年龄结构变化的评估是有意义的。该研究旨在发展俄罗斯地区年龄结构转变的类型学。推测其变化速度和方向的不同导致了不同年龄结构类型和亚类型的形成。分析了联邦国家统计局的官方数据:“俄罗斯人口年鉴”;“俄罗斯人口年鉴补编”;统计公报“按性别和年龄分列的俄罗斯联邦人口”。据此,将俄罗斯地区划分为年龄结构转变的6种类型和18种亚型。通过老龄指数的计算,得出了非常年轻、年轻、接近老年、中等老年、老年和非常老年的6种年龄结构。最常见的是中高龄区(38.1%),其次是高龄区(25%)和极高龄区(19%)。被划分为“老年前夕”、“年轻”和“非常年轻”的地区加起来不超过18%。通过计算老龄化动态指数,确定了年龄结构转变的18个亚型。在俄罗斯80个地区观察到老龄化趋势:52个组成实体记录到人口老龄化缓慢,28个地区记录到人口老龄化加剧。复兴趋势仅在图瓦共和国、莫斯科州、圣彼得堡和克里米亚共和国四个地区具有特色。所得结果可供公共当局用于改进区域人口政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
1.80
自引率
20.00%
发文量
23
期刊最新文献
The Impact of Regional Economic Conditions on Place Branding Results: The Survival Analysis Approach Sustainable Rural Development: A New Perspective on the Assessment in the Context of Spatial Localisation Assessment of the Consistency of Regional and Municipal Strategic Planning Documents Stakeholder Approach to the Regional Sustainable Development: Empirical Study Creative Reindustrialisation of the Second-Tier Cities in the Digital Transformation Era: A Study Using SciVal Tools
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1