How do various types of regions attract creative industries? Comparison of metropolitan, old industrial and rural regions in Czechia
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F18%3AA1901VRG" target="_blank" >RIV/61988987:17310/18:A1901VRG - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.15201/hungeobull.67.3.3" target="_blank" >http://dx.doi.org/10.15201/hungeobull.67.3.3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.15201/hungeobull.67.3.3" target="_blank" >10.15201/hungeobull.67.3.3</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
How do various types of regions attract creative industries? Comparison of metropolitan, old industrial and rural regions in Czechia
Popis výsledku v původním jazyce
In this paper we aim to describe and explain current spatial distribution of creative industries in Czechia. We ask to what extent are localisation patterns of creative industries influenced by specific local contexts. Therefore, we employed a typology of regions (close to local labour areas) that may explain spatial distribution of creative industries: metropolitan cores, metropolitan hinterlands, old industrial regions, urban and rural regions. We use general linear models combining the regional typology as a fixed factor and four covariates - employment density, density of cultural industries, mean firm size in creative industries and diversity of economic activities. We employed horizontal localisation quotient of regional employment in creative industries for the year 2014 as a dependent variable. Our main finding is that the regional typology explains a higher share of variability of the dependent variable (relative specialisation in creative industries) than any other explanatory variable. However, after exclusion of metropolitan cores, the model lost a significant amount of its explanatory power. Urban size/density and position in urban hierarchy are the key explanatory variables. We found only limited empirical evidence that regional contexts affect localisation of CI - regions of similar population/economic size do not differ significantly in spatial concentration of CI.
Název v anglickém jazyce
How do various types of regions attract creative industries? Comparison of metropolitan, old industrial and rural regions in Czechia
Popis výsledku anglicky
In this paper we aim to describe and explain current spatial distribution of creative industries in Czechia. We ask to what extent are localisation patterns of creative industries influenced by specific local contexts. Therefore, we employed a typology of regions (close to local labour areas) that may explain spatial distribution of creative industries: metropolitan cores, metropolitan hinterlands, old industrial regions, urban and rural regions. We use general linear models combining the regional typology as a fixed factor and four covariates - employment density, density of cultural industries, mean firm size in creative industries and diversity of economic activities. We employed horizontal localisation quotient of regional employment in creative industries for the year 2014 as a dependent variable. Our main finding is that the regional typology explains a higher share of variability of the dependent variable (relative specialisation in creative industries) than any other explanatory variable. However, after exclusion of metropolitan cores, the model lost a significant amount of its explanatory power. Urban size/density and position in urban hierarchy are the key explanatory variables. We found only limited empirical evidence that regional contexts affect localisation of CI - regions of similar population/economic size do not differ significantly in spatial concentration of CI.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
50701 - Cultural and economic geography
Návaznosti výsledku
Projekt
<a href="/cs/project/GA18-11299S" target="_blank" >GA18-11299S: Vývoj trajektorií tradičních odvětví ve starých průmyslových regionech: governance, aktéři, instituce a leadership.</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Hungarian Geographical Bulletin
ISSN
2064-5031
e-ISSN
—
Svazek periodika
67
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
HU - Maďarsko
Počet stran výsledku
19
Strana od-do
239-257
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85054716558