Spatial Dimension of Unemployment: Space-Time Analysis Using Real-Time Accessibility in Czechia

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F20%3A10413147" target="_blank" >RIV/00216208:11310/20:10413147 - isvavai.cz</a>

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=XfmYI.MCpX" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=XfmYI.MCpX</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/ijgi9060401" target="_blank" >10.3390/ijgi9060401</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Spatial Dimension of Unemployment: Space-Time Analysis Using Real-Time Accessibility in Czechia

Popis výsledku v původním jazyce

This paper focuses on the analysis of unemployment data in Czechia on a very detailed spatial structure and yearly, extended time series (2002-2019). The main goal of the study was to examine the spatial dimension of disparities in regional unemployment and its evolutionary tendencies on a municipal level. To achieve this goal, global and local spatial autocorrelation methods were used. Besides spatial and space-time analyses, special attention was given to spatial weight matrix selection. The spatial weights were created according to real-time accessibilities between the municipalities based on the Czech road network. The results of spatial autocorrelation analyses based on network spatial weights were compared to the traditional distance-based spatial weights. Despite significant methodological differences between applied spatial weights, the resulting spatial pattern of unemployment proved to be very similar. Empirically, relative stability of spatial patterns of unemployment with only slow shift of differentiation from macro- to microlevels could be observed.

Název v anglickém jazyce

Spatial Dimension of Unemployment: Space-Time Analysis Using Real-Time Accessibility in Czechia

Popis výsledku anglicky

This paper focuses on the analysis of unemployment data in Czechia on a very detailed spatial structure and yearly, extended time series (2002-2019). The main goal of the study was to examine the spatial dimension of disparities in regional unemployment and its evolutionary tendencies on a municipal level. To achieve this goal, global and local spatial autocorrelation methods were used. Besides spatial and space-time analyses, special attention was given to spatial weight matrix selection. The spatial weights were created according to real-time accessibilities between the municipalities based on the Czech road network. The results of spatial autocorrelation analyses based on network spatial weights were compared to the traditional distance-based spatial weights. Despite significant methodological differences between applied spatial weights, the resulting spatial pattern of unemployment proved to be very similar. Empirically, relative stability of spatial patterns of unemployment with only slow shift of differentiation from macro- to microlevels could be observed.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50701 - Cultural and economic geography

Projekt

<a href="/cs/project/GA18-20904S" target="_blank" >GA18-20904S: V jádru nebo na periferii? Dopad měnící se povahy hranic na socioekonomický rozvoj českých příhraničních regionů z institucionálního pohledu</a><br>

Návaznosti

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

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

ISPRS International Journal of Geo-Information

ISSN

2220-9964

e-ISSN

—

Svazek periodika

9

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

12

Strana od-do

401

Kód UT WoS článku

000551690800001

EID výsledku v databázi Scopus

2-s2.0-85087360800