人口死亡率结构——欧盟国家的人口和社会经济状况:2011-2014年的发展和分化

IF 0.4 Q4 GEOGRAPHY
D. Hübelová, A. Kozumplíková, Veronika Walicová
{"title":"人口死亡率结构——欧盟国家的人口和社会经济状况:2011-2014年的发展和分化","authors":"D. Hübelová, A. Kozumplíková, Veronika Walicová","doi":"10.18778/1231-1952.27.1.08","DOIUrl":null,"url":null,"abstract":"The purpose of the study is to compare the differentiation of the demographic and socio-economic indicators and the structure of mortality of the population in EU countries in the period 2011–2014. The composite indicator of mortality structure revealed the most favourable situation in Finland (134.4%), while the worst situation was found in Hungary (63.8%). The best demographic and socio-economic situation was found in Luxembourg (165.4%) and the worst in Hungary (64.9%), Greece (65.9%) or Lithuania (67.3%). The regression model equation shows that the mortality structure is strongly affected by the variables of life expectancy at birth and education. It is evident that there was a differentiation in the demographic and socio-economic indicators in EU countries in the period 2011–2014, while there was no unambiguous trend of the convergence of the mortality structure among EU countries.","PeriodicalId":43719,"journal":{"name":"European Spatial Research and Policy","volume":"27 1","pages":"173-193"},"PeriodicalIF":0.4000,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The Mortality Structure of Populations the Demographic and Socio-Economic Situation in European Union Countries: Development and Differentiation in the Period 2011–2014\",\"authors\":\"D. Hübelová, A. Kozumplíková, Veronika Walicová\",\"doi\":\"10.18778/1231-1952.27.1.08\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of the study is to compare the differentiation of the demographic and socio-economic indicators and the structure of mortality of the population in EU countries in the period 2011–2014. The composite indicator of mortality structure revealed the most favourable situation in Finland (134.4%), while the worst situation was found in Hungary (63.8%). The best demographic and socio-economic situation was found in Luxembourg (165.4%) and the worst in Hungary (64.9%), Greece (65.9%) or Lithuania (67.3%). The regression model equation shows that the mortality structure is strongly affected by the variables of life expectancy at birth and education. It is evident that there was a differentiation in the demographic and socio-economic indicators in EU countries in the period 2011–2014, while there was no unambiguous trend of the convergence of the mortality structure among EU countries.\",\"PeriodicalId\":43719,\"journal\":{\"name\":\"European Spatial Research and Policy\",\"volume\":\"27 1\",\"pages\":\"173-193\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2020-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Spatial Research and Policy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18778/1231-1952.27.1.08\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Spatial Research and Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18778/1231-1952.27.1.08","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 2

摘要

本研究的目的是比较2011-2014年期间欧盟国家人口和社会经济指标的差异以及人口死亡率结构。死亡率结构的综合指标显示,芬兰的情况最为有利(134.4%),而匈牙利的情况最差(63.8%)。卢森堡的人口和社会经济状况最好(165.4%)和匈牙利最差(64.9%),希腊(65.9%)或立陶宛(67.3%)。回归模型方程显示,死亡率结构受到出生时预期寿命和教育程度变量的强烈影响。很明显,2011-2014年期间,欧盟国家的人口和社会经济指标存在差异,而欧盟国家之间的死亡率结构没有明确的趋同趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Mortality Structure of Populations the Demographic and Socio-Economic Situation in European Union Countries: Development and Differentiation in the Period 2011–2014
The purpose of the study is to compare the differentiation of the demographic and socio-economic indicators and the structure of mortality of the population in EU countries in the period 2011–2014. The composite indicator of mortality structure revealed the most favourable situation in Finland (134.4%), while the worst situation was found in Hungary (63.8%). The best demographic and socio-economic situation was found in Luxembourg (165.4%) and the worst in Hungary (64.9%), Greece (65.9%) or Lithuania (67.3%). The regression model equation shows that the mortality structure is strongly affected by the variables of life expectancy at birth and education. It is evident that there was a differentiation in the demographic and socio-economic indicators in EU countries in the period 2011–2014, while there was no unambiguous trend of the convergence of the mortality structure among EU countries.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.90
自引率
16.70%
发文量
7
审稿时长
20 weeks
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信