Ekonomická odolnost regionů a měření komplexity: příklad evropských regionů
Článekpeer-reviewedpublished Náhled není k dispozici
Datum publikování
2017
Vedoucí práce
Oponent
Název časopisu
Název svazku
Vydavatel
Univerzita Pardubice
Abstrakt
This study aims to validate the relationship between the degree of complexity
(e.g. the degree of chaos) in regional time series and economic resilience. The analysis
builds on previous studies that tried to prove the relationship between Lyapunov
exponent and regional resilience. Unlike previous empirical research, the goal of our
investigation is to verify the usefulness of selected indexes of complexity for quantifying
regional resilience in the context of the economic crisis of 2008. The research questions
formulated in other studies quietly anticipated the existence of stochastic dependence
between the degree of complexity and sensitivity of the region to the economic downturn.
We will describe an empirical application, in which the resilience of the regional labour
market at the level NUTS 2 from 12 EU’s countries in the period 1998 - 2014 is going
to be investigated by use of an algorithm for business cycle detection and method for
complexity measurement. The results suggest that the relationship between the regional
resilience and the degree of complexity depends on the selection of the appropriate
measure of complexity. In this work has been analysed the relationship of regional
resilience with Lyapunov exponent and the generalised Hurst exponent.
Rozsah stran
ISSN
ISSN 1211-555X (Print)
ISSN 1804-8048 (Online)
ISSN 1804-8048 (Online)
Trvalý odkaz na tento záznam
Projekt
Zdrojový dokument
Scientific papers of the University of Pardubice. Series D, Faculty of Economics and Administration. 41/2017
Vydavatelská verze
Přístup k e-verzi
open access
Název akce
ISBN
Studijní obor
Studijní program
Signatura tištěné verze
Umístění tištěné verze
Přístup k tištěné verzi
Klíčová slova
resilience, engineering resilience, ecological resilience, evolutionary
resilience, spatial economics, complexity