Detailed Information on Publication Record
2019
Development of Socioeconomic Diversity in Regions of Visegrad Group Plus Countries
MAJEROVÁ, Ingrid and Jan NEVIMABasic information
Original name
Development of Socioeconomic Diversity in Regions of Visegrad Group Plus Countries
Authors
MAJEROVÁ, Ingrid (203 Czech Republic, guarantor, belonging to the institution) and Jan NEVIMA (203 Czech Republic, belonging to the institution)
Edition
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2019, 1211-8516
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
50202 Applied Economics, Econometrics
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
RIV identification code
RIV/47813059:19520/19:A0000046
Organization unit
School of Business Administration in Karvina
Keywords in English
cluster analysis; development; diversity; regions; socio economic indicators; Central European Countries; Ward method
Tags
International impact, Reviewed
Změněno: 21/4/2020 11:17, Ing. Petra Skoumalová
Abstract
V originále
Development and diversity is connected not only with GDP or GNI per capita level, but often with measurement of another socioeconomic indicators as rate of unemployment, health and education fields or households equipment. The aim of this paper is, with the quantification of socioeconomic indicators, to describe the development of regional diversification using cluster analysis at the regional level of selected Central European Countries after enlargement of European Union. The regions at NUTS 2 level of the Czech Republic, Hungary, Poland, Slovakia and Slovenia were selected for this purpose. There are 37 regions on the NUTS 2 level, eight in the Czech Republic,seven in Hungary, sixteen in Poland, four in Slovakia and two in Slovenia. The research was made in the first two programming periods after the big enlargement of EU from 2004 to 2006 and 2007 to 2013 with their comparison. According to hierarchical cluster procedures, using the Ward method, the five clusters were set and it was found that regional diversity still exists and positive development recorded only forty nine percent of the monitored regions.