Regional Disparities of the Ageing Process in Czech Republic after 1990
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F13%3A86087842" target="_blank" >RIV/61989100:27510/13:86087842 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Regional Disparities of the Ageing Process in Czech Republic after 1990
Popis výsledku v původním jazyce
The article deals with the differences of the age distributions on the NUTS 3 territory in the Czech Republic for the last twenty years. The research is using data from censuses 1991 and 2011. The Czech Republic has consisted of thirteen regions and onecapital city with regional status since 1 January 2000. This means that the Czech Republic is administratively divided into 14 regions. We were researching their ageing process during last 20 years. The typology is given by weigh of the children?s and oldest component. The analyses on this spatial level are using choropleth maps for demographical data presentation where we used ArcGIS 10.1 as a complete system for information. The main goal is to sort all fourteen regions on a base of children and elderly ratio to the different population ageing groups: gently ageing population, ageing population, old population and very old population. The second main goal is to explain territorial differences of the ageing index in the years 1991 and
Název v anglickém jazyce
Regional Disparities of the Ageing Process in Czech Republic after 1990
Popis výsledku anglicky
The article deals with the differences of the age distributions on the NUTS 3 territory in the Czech Republic for the last twenty years. The research is using data from censuses 1991 and 2011. The Czech Republic has consisted of thirteen regions and onecapital city with regional status since 1 January 2000. This means that the Czech Republic is administratively divided into 14 regions. We were researching their ageing process during last 20 years. The typology is given by weigh of the children?s and oldest component. The analyses on this spatial level are using choropleth maps for demographical data presentation where we used ArcGIS 10.1 as a complete system for information. The main goal is to sort all fourteen regions on a base of children and elderly ratio to the different population ageing groups: gently ageing population, ageing population, old population and very old population. The second main goal is to explain territorial differences of the ageing index in the years 1991 and
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
AO - Sociologie, demografie
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Political factors of economic growth and regional development in transition economies : proceedings of the 6th International Conference on Globalization : Ostrava, Czechia, September 10-12, 2013
ISBN
978-80-7464-357-6
ISSN
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e-ISSN
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Počet stran výsledku
11
Strana od-do
57-67
Název nakladatele
University of Ostrava
Místo vydání
Ostrava
Místo konání akce
Ostrava
Datum konání akce
10. 9. 2013
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
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