B 2017

Competitiveness of Visegrad Group Plus Countries

MAJEROVÁ, Ingrid, Jan NEVIMA, Šárka PINDOROVÁ, Zuzana NENIČKOVÁ, Eva KOTLÁNOVÁ et. al.

Basic information

Original name

Competitiveness of Visegrad Group Plus Countries

Authors

MAJEROVÁ, Ingrid (203 Czech Republic, belonging to the institution), Jan NEVIMA (203 Czech Republic, belonging to the institution), Šárka PINDOROVÁ (203 Czech Republic), Zuzana NENIČKOVÁ (203 Czech Republic, belonging to the institution), Eva KOTLÁNOVÁ (203 Czech Republic, belonging to the institution), Karin GAJDOVÁ (203 Czech Republic, belonging to the institution), Kamila TUREČKOVÁ (203 Czech Republic, belonging to the institution), Tomáš VERNER (203 Czech Republic, belonging to the institution) and Danuta DUDA (203 Czech Republic, belonging to the institution)

Edition

Praha, 164 pp. 2017

Publisher

Professional Publishing

Other information

Language

English

Type of outcome

Odborná kniha

Field of Study

50202 Applied Economics, Econometrics

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

RIV identification code

RIV/47813059:19520/17:00010894

Organization unit

School of Business Administration in Karvina

ISBN

978-80-88260-01-1

Keywords in English

competitiveness; Visegrad Group Plus; disparities; NUTS 2 regions
Změněno: 7/2/2020 10:57, RNDr. Daniel Jakubík

Abstract

V originále

the monograph combines the macroeconomic, regional and microeconomic competitiveness. For the purpose of regional competitiveness the level of NUTS II was chosen. There are 46 regions on the NUTS II level - eight in the Czech Republic, seven in Hungary, sixteen in Poland, nine in Austria, four in Slovakia and two in Slovenia. The aim of this publication is to find the most competitiveness country (from a macroeconomic point of view) and most competitiveness region (from a regional point of view) of Visegrad Group Plus countries. According to used methods the countries and regions will be compared and than the ranking of them will be done.The monograph is divided into twelve chapters in which different approaches and statistical methods are used, from the standard deviation method, through financial analysis, AHP method, TOPSIS and WSA method to regression panel analysis. The aforementioned relationships were investigated between 2004 and 2013, in some cases this time series was adjusted based on the availability of the analysed data.