Regional economic resilience: An entropic analysis of the 2008 economic crisis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F17%3A39910618" target="_blank" >RIV/00216275:25410/17:39910618 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Regional economic resilience: An entropic analysis of the 2008 economic crisis
Original language description
This paper provides an analysis of labour force market dynamics of the 2008 financial crises and discusses the extent to which entropy measures can be useful in predicting regional employment dynamics. We find that the Shannon entropy and Tsallis entropy is more suitable for prediction of size of employment downturn (recession index) while the Rényi entropy is the dominant predictor of rate of employment downturn in recession phase. The results of the statistical analysis show that when Shannon entropy was growing through the recovery phase before the crisis, regions experience a higher rate of employment decrease in the following recession period. On the other hand, the higher the Shannon entropy was, the smaller recession index. However, the Tsallis entropy plays a different role in comparison to Shannon entropy. The higher the measured Tsallis entropy was, the more significantly the region was affected. In conclusion, the use of entropy as a resilience indicator in terms of regional policy is a significant predictor of regional resilience.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 30th International Business Information Management Association Conference
ISBN
978-0-9860419-9-0
ISSN
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e-ISSN
neuvedeno
Number of pages
14
Pages from-to
987-1000
Publisher name
International Business Information Management Association-IBIMA
Place of publication
Norristown
Event location
Madrid
Event date
Nov 8, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000443640500097