Mapping and monitoring unemployment hot spots towards identification of socially excluded localities: Case study of Ostrava

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F14%3A86088133" target="_blank" >RIV/61989100:27350/14:86088133 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1080/17445647.2013.847806" target="_blank" >http://dx.doi.org/10.1080/17445647.2013.847806</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/17445647.2013.847806" target="_blank" >10.1080/17445647.2013.847806</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Mapping and monitoring unemployment hot spots towards identification of socially excluded localities: Case study of Ostrava

Popis výsledku v původním jazyce

This paper is focused on mapping and monitoring of unemployment hot spots using registers of local authorities in the Ostrava City (Czech Republic) to identify socially excluded localities at the micro-scale. The register of unemployed persons and the population register provide data for quantification of specific indicators of a local labour situation. A share of the registered unemployed in reference to residents in productive age can substitute the rate of unemployment due to the high correlation ofboth indicators. The mapping of unemployment hot spots has been based on data from 2007, 2009, 2010 and 2011 using kernel density estimation. Various settings of bandwidths have been tested to identify socially excluded localities in the city in hopes ofidentifying the most accurate way to visualise the pattern. These localities have been identified in two expert studies and the most significant sign is considered to be increased unemployment. Appropriate settings of kernel density esti

Název v anglickém jazyce

Mapping and monitoring unemployment hot spots towards identification of socially excluded localities: Case study of Ostrava

Popis výsledku anglicky

This paper is focused on mapping and monitoring of unemployment hot spots using registers of local authorities in the Ostrava City (Czech Republic) to identify socially excluded localities at the micro-scale. The register of unemployed persons and the population register provide data for quantification of specific indicators of a local labour situation. A share of the registered unemployed in reference to residents in productive age can substitute the rate of unemployment due to the high correlation ofboth indicators. The mapping of unemployment hot spots has been based on data from 2007, 2009, 2010 and 2011 using kernel density estimation. Various settings of bandwidths have been tested to identify socially excluded localities in the city in hopes ofidentifying the most accurate way to visualise the pattern. These localities have been identified in two expert studies and the most significant sign is considered to be increased unemployment. Appropriate settings of kernel density esti

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AO - Sociologie, demografie

OECD FORD obor

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Projekt

<a href="/cs/project/GA403%2F09%2F1720" target="_blank" >GA403/09/1720: Industriální město v post-industriální společnosti</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

Journal of Maps

ISSN

1744-5647

e-ISSN

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Svazek periodika

10

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

11

Strana od-do

35-46

Kód UT WoS článku

000330640100005

EID výsledku v databázi Scopus

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