Spatial patterns of unemployment in Central Europe: emerging development axes beyond the Blue Banana

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F16%3A10312369" target="_blank" >RIV/00216208:11310/16:10312369 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1080/17445647.2015.1063467" target="_blank" >http://dx.doi.org/10.1080/17445647.2015.1063467</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/17445647.2015.1063467" target="_blank" >10.1080/17445647.2015.1063467</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Spatial patterns of unemployment in Central Europe: emerging development axes beyond the Blue Banana

Popis výsledku v původním jazyce

In this paper, we focus on mapping and analysing the spatial patterns of unemployment in four Central European countries - Austria, Czechia, Germany, and Poland, on municipal level in 2010. Specifically, based on the geo-social differentiation patterns, we are searching for secondary axes stretching from the Blue Banana (the major European economic development axis running from London to Milan) towards Eastern Europe. Unemployment is supposed to approximate economic development, thanks to its close relation to GDP and other economic indicators. To study spatial patterns and development axes on a micro scale, we use the concept of spatial autocorrelation, specifically Moran's I and LISA analysis. While we analyse more than 44,000 units, the resulting maps are very detailed and difficult to interpret on small scales. In this paper, we take advantage of the opportunity to present large-scale maps (1: 2,500,000 and 1: 6,000,000), which are also more suitable for the analytical conclusions that follow.

Název v anglickém jazyce

Spatial patterns of unemployment in Central Europe: emerging development axes beyond the Blue Banana

Popis výsledku anglicky

In this paper, we focus on mapping and analysing the spatial patterns of unemployment in four Central European countries - Austria, Czechia, Germany, and Poland, on municipal level in 2010. Specifically, based on the geo-social differentiation patterns, we are searching for secondary axes stretching from the Blue Banana (the major European economic development axis running from London to Milan) towards Eastern Europe. Unemployment is supposed to approximate economic development, thanks to its close relation to GDP and other economic indicators. To study spatial patterns and development axes on a micro scale, we use the concept of spatial autocorrelation, specifically Moran's I and LISA analysis. While we analyse more than 44,000 units, the resulting maps are very detailed and difficult to interpret on small scales. In this paper, we take advantage of the opportunity to present large-scale maps (1: 2,500,000 and 1: 6,000,000), which are also more suitable for the analytical conclusions that follow.

Druh

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

CEP obor

DE - Zemský magnetismus, geodesie, geografie

OECD FORD obor

—

Projekt

<a href="/cs/project/GPP404%2F12%2FP340" target="_blank" >GPP404/12/P340: Prostorové aspekty sociální diferenciace v České republice a sousedních zemích se zaměřením na efekt hranic</a><br>

Návaznosti

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

Rok uplatnění

2016

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

—

Svazek periodika

12

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

6

Strana od-do

701-706

Kód UT WoS článku

000375902700012

EID výsledku v databázi Scopus

2-s2.0-84937122080