老工业区的人口老龄化——以Ústí新拉贝姆地区(捷克北部)为例的具体情况和联系

IF 0.7 Q3 GEOGRAPHY
GeoScape Pub Date : 2015-06-01 DOI:10.1515/geosc-2015-0003
Petr Kačírek
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引用次数: 2

摘要

通过本文,作者想对当前人口趋势(即人口老龄化)对中欧和东欧低绩效地区可能产生的具体影响进行讨论。本文主要研究了上世纪90年代以来经历经济转型的老工业区Ústí内拉贝姆地区(捷克)人口发展的现状。Ústí纳德拉贝姆地区的人口发展是在世界、欧洲和捷克共和国人口发展的背景下进行的。Ústí南拉贝姆地区的人口发展复制了更高一级领土单位一级的趋势。人口指标值的差异,特别是与捷克共和国相比的差异,主要是由该地区居民的特定人口、经济和社会结构造成的。人口老龄化是近几十年来最重要和讨论最多的人口发展趋势。这种变化将是缓慢的,但随着老龄化进程变得更加强大,这种变化将变得更加强烈。必须在区域政府一级为这一进程做好准备,特别是在经济和社会领域,否则人口老龄化可能进一步限制该区域经济和社会转型的速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demographic ageing in the old industrial regions – specifics and links on the example of the Ústí nad Labem Region (N Czechia)
Abstract Through this paper, the author would like to raise a discussion on possible specific effects of current demographic trends (namely the demographic ageing) in low-performace regions of Central and Eastern Europe. The article focuses on the current tendencies of the demographic development of the Ústí nad Labem Region (N Czechia), an old industrial region undergoing the economic transition since 1990s. The demographic development in the Ústí nad Labem Region is put in the context of the demographic development of the world, Europe, and the Czech Republic. Population development in the Ústí nad Labem Region copies the tendencies at the level of the territorial units of higher level. The differences in values of the demographic indicators, especially when compared to the Czech Republic, are mainly caused by specific demographic, economic, and social structures of the inhabitants of the region. The most important and discussed tendency of the population development in last decades is the process of the demographic ageing. The change will be slow but growing stronger with the ageing process becoming more powerful. It would be necessary to prepare for the process, particularly in the economic and social field, at the level of the regional government, otherwise the demographic ageing may further restrict the speed of economic and social transition in the region.
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来源期刊
GeoScape
GeoScape GEOGRAPHY-
CiteScore
2.70
自引率
7.70%
发文量
7
审稿时长
4 weeks
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