Knowledge-Intensive Business Services Employment Structure and Economic Development in EU Regions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13510%2F22%3A43897451" target="_blank" >RIV/44555601:13510/22:43897451 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.ceeol.com/search/article-detail?id=1083118" target="_blank" >https://www.ceeol.com/search/article-detail?id=1083118</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.18778/1508-2008.25.32" target="_blank" >10.18778/1508-2008.25.32</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Knowledge-Intensive Business Services Employment Structure and Economic Development in EU Regions

Popis výsledku v původním jazyce

The study presents the results of grouping EU NUTS 2 regions based on the share of employment in particular sectors (knowledge?intensive high?technology services, knowledge?intensive market services and other knowledge?intensive services), as well as GDP per capita, in 2008 and 2018. The grouping of regions was done by clustering methods (for structure data), including Ward?s method to determine the number of groups and the k?means for the final partition. GDP groups were defined using a sample mean and one standard deviation. To assess the similarity of the classifications and, consequently, to evaluate correlations between the employment structures and the level and pace of economic development, the similarity measure for partitions proposed by Sokołowski was used.

Název v anglickém jazyce

Knowledge-Intensive Business Services Employment Structure and Economic Development in EU Regions

Popis výsledku anglicky

The study presents the results of grouping EU NUTS 2 regions based on the share of employment in particular sectors (knowledge?intensive high?technology services, knowledge?intensive market services and other knowledge?intensive services), as well as GDP per capita, in 2008 and 2018. The grouping of regions was done by clustering methods (for structure data), including Ward?s method to determine the number of groups and the k?means for the final partition. GDP groups were defined using a sample mean and one standard deviation. To assess the similarity of the classifications and, consequently, to evaluate correlations between the employment structures and the level and pace of economic development, the similarity measure for partitions proposed by Sokołowski was used.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Comparative Economic Research. Central and Eastern Europe

ISSN

1508-2008

e-ISSN

2082-6737

Svazek periodika

25

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

25

Strana od-do

109-133

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85146888556