MAJEROVÁ, Ingrid and Šárka PINDOROVÁ. MARCOECONOMIC COMPETITIVENESS: THE NON-MEASURABLE INDICATORS IN THE VISEGRAD GROUP PLUS COUNTRIES. In Proceedings of XVth International Scientific Conference. Ostrava: VSB-Technical University Ostrava, Faculty of Economics. p. 135-146, 11 pp. ISBN 9788024841557. 2017.
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Basic information
Original name MARCOECONOMIC COMPETITIVENESS: THE NON-MEASURABLE INDICATORS IN THE VISEGRAD GROUP PLUS COUNTRIES
Authors MAJEROVÁ, Ingrid (203 Czech Republic, belonging to the institution) and Šárka PINDOROVÁ (203 Czech Republic, belonging to the institution).
Edition Ostrava, Proceedings of XVth International Scientific Conference, p. 135-146, 11 pp. 2017.
Publisher VSB-Technical University Ostrava, Faculty of Economics
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 50202 Applied Economics, Econometrics
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/47813059:19520/17:00011015
Organization unit School of Business Administration in Karvina
ISBN 9788024841557
Keywords in English Business Efficiency; Economic Performance; Government Efficiency; Infrastructure; Macroeconomic Competitiveness; Standard Deviation; Variation Coefficient
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 7/2/2020 10:58.
Abstract
This paper discusses the macroeconomic competitiveness of the Visegrad Group Plus countries. This kind of competitiveness is divided into measurable (qualitative) input and output indicators and non-measurable (quantitative) indicators, as economic performance, government and business efficiency and infrastructure. The aim of this paper, besides the description of development of non-measurable competitiveness indicators and its comparison, is to find out if the disparities in the field of this kind of competitiveness among countries exist or not. Two assumptions were set: first - the disparities among monitored countries exist, second - the values of factors values have improved between years 2004 and 2013. These assumptions were verified firstly through the method of standard deviation and secondly through the coefficient of variation, the first one was confirmed and second one was rejected.
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