基于熵测度的2008年经济危机弹性分析

Martin Ibl, O. Svoboda, M. Siegert
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引用次数: 2

摘要

本文对2008年经济危机期间的就业数据进行了分析。分析是通过使用熵测度来完成的,熵测度可以帮助预测区域就业动态。我们的发现表明,香农熵和Tsallis熵是就业衰退规模的重要预测因子。rsamnyi熵也是经济衰退阶段就业下降率的有效预测指标。在危机前的经济复苏阶段,当香农熵增长时,各地区在随后的经济衰退时期的就业下降率较高,而香农熵高则表明就业下降幅度较小。结果表明,与Shannon熵相比,Tsallis熵所起的作用不同。Tsallis熵越高,区域受影响越严重。综上所述,利用熵测度作为区域政策弹性指标对区域弹性有显著的预测作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resilience Analysis of the 2008 Economic Crisis Using Entropic Measures
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 predictors for the size of the employment downturn. The Rényi entropy is also a 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 inferred 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 severely 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.
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