Resilience Analysis of the 2008 Economic Crisis Using Entropic Measures
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F18%3A39913395" target="_blank" >RIV/00216275:25410/18:39913395 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.5171/2018.422299" target="_blank" >http://dx.doi.org/10.5171/2018.422299</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5171/2018.422299" target="_blank" >10.5171/2018.422299</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Resilience Analysis of the 2008 Economic Crisis Using Entropic Measures
Popis výsledku v původním jazyce
This paper deals with the analysis of employment data of the 2008 economic crises. The analyses are done by using entropy measures that can help with predicting regional employment dynamics. Our finding suggests that the Shannon entropy and Tsallis entropy are significant predictor for the size of the employment downturn. The Rényi entropy is also useful predictor of the rate of employment downturn in recession phase. When the Shannon entropy was growing through the recovery phase before the crisis, regions experience a higher rate of employment decrease in the following recession period and high Shannon entropy infer the smaller employment downturn The results indicate the different role of the Tsallis entropy that plays a different role in comparison to Shannon entropy. The higher the Tsallis entropy, the more severally the region was affected. In conclusion, the use of entropic measures as resilience indicators in terms of regional policy is a significant predictor of regional resilience.
Název v anglickém jazyce
Resilience Analysis of the 2008 Economic Crisis Using Entropic Measures
Popis výsledku anglicky
This paper deals with the analysis of employment data of the 2008 economic crises. The analyses are done by using entropy measures that can help with predicting regional employment dynamics. Our finding suggests that the Shannon entropy and Tsallis entropy are significant predictor for the size of the employment downturn. The Rényi entropy is also useful predictor of the rate of employment downturn in recession phase. When the Shannon entropy was growing through the recovery phase before the crisis, regions experience a higher rate of employment decrease in the following recession period and high Shannon entropy infer the smaller employment downturn The results indicate the different role of the Tsallis entropy that plays a different role in comparison to Shannon entropy. The higher the Tsallis entropy, the more severally the region was affected. In conclusion, the use of entropic measures as resilience indicators in terms of regional policy is a significant predictor of regional resilience.
Klasifikace
Druh
J<sub>ost</sub> - Ostatní články v recenzovaných periodicích
CEP obor
—
OECD FORD obor
50202 - Applied Economics, Econometrics
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Economics Studies and Research
ISSN
2165-9966
e-ISSN
—
Svazek periodika
2018
Číslo periodika v rámci svazku
2018
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
14
Strana od-do
1-14
Kód UT WoS článku
—
EID výsledku v databázi Scopus
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