Digitální knihovnaUPCE
 

Quality of Life Evaluation in Czech Districts

Konferenční objektOtevřený přístuppeer-reviewedpostprint
Náhled

Datum publikování

2017

Vedoucí práce

Oponent

Název časopisu

Název svazku

Vydavatel

MASARYKOVA UNIVErzita

Abstrakt

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.

Rozsah stran

p. 82-89

ISSN

2336-1239

Trvalý odkaz na tento záznam

Projekt

SGS_2016_023/Ekonomický a sociální rozvoj v soukromém a veřejném sektoru

Zdrojový dokument

PROCEEDINGS OF THE 21ST INTERNATIONAL CONFERENCE CURRENT TRENDS IN PUBLIC SECTOR RESEARCH

Vydavatelská verze

http://ctpsr.econ.muni.cz/wp-content/uploads/2017/01/Sborn%C3%ADk_2017_A5_tisk_obalka.pdf

Přístup k e-verzi

open access

Název akce

21st International Conference ON Current Trends in Public Sector Research (19.01.2017 - 20.01.2017, Slapanice, CZ)

ISBN

978-80-210-8448-3

Studijní obor

Studijní program

Signatura tištěné verze

Umístění tištěné verze

Přístup k tištěné verzi

Klíčová slova

district, indicator, hierarchical cluster analysis, quality of life, okres, ukazatel, hirarchická klastrová analýza

Endorsement

Review

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