Quality of Life Evaluation in Czech Districts

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F17%3A39911846" target="_blank" >RIV/00216275:25410/17:39911846 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Quality of Life Evaluation in Czech Districts

Popis výsledku v původním jazyce

The article explores regional comparison of quality of life (QOL) in the Czech Republic (CR) districts. In the CR there are 77 districts. A district is a territorial unit mainly used for statistical reporting purposes. This territorial classification corresponds with Eurostat Local Administrative Unit level 1. A set of 32 indicators from economic, social and environmental areas was chosen for the measurement of QOL at the district level. The model was designed for the evaluation, comparison and explanation of regional differences in the QOL. Algorithms of hierarchical cluster analysis were applied for the whole set of objective indicators in the model. The results show that QOL on the district level is very similar across the CR; only the districts located in the highland areas in Sumava (mountains), Jeseniky (mountains) and Krusne hory (Krusne mountains) have lower level of QOL. On the other hand, the highest QOL is observed in the district Capital city of Prague as actually expected.

Název v anglickém jazyce

Quality of Life Evaluation in Czech Districts

Popis výsledku anglicky

The article explores regional comparison of quality of life (QOL) in the Czech Republic (CR) districts. In the CR there are 77 districts. A district is a territorial unit mainly used for statistical reporting purposes. This territorial classification corresponds with Eurostat Local Administrative Unit level 1. A set of 32 indicators from economic, social and environmental areas was chosen for the measurement of QOL at the district level. The model was designed for the evaluation, comparison and explanation of regional differences in the QOL. Algorithms of hierarchical cluster analysis were applied for the whole set of objective indicators in the model. The results show that QOL on the district level is very similar across the CR; only the districts located in the highland areas in Sumava (mountains), Jeseniky (mountains) and Krusne hory (Krusne mountains) have lower level of QOL. On the other hand, the highest QOL is observed in the district Capital city of Prague as actually expected.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 21th International Conference Current Trends in Public Sector Research

ISBN

978-80-210-8448-3

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

8

Strana od-do

82-89

Název nakladatele

Masarykova univerzita

Místo vydání

Brno

Místo konání akce

Slapanice

Datum konání akce

19. 1. 2017

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000402427100010