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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • 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

  • 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