The Effect Of Different Time Horizon In Measuring The Regional Economic Resilience

Abstract

Evaluation of the economic resilience of regions is currently associated primarily with the effects of the economic crisis. Economic resilience of regions can be determined by applying different approaches and also different indicators. Under this assessment, the size of the resilience of the regional economy can be monitored to some external negative effects. It is also possible to assess the influence of potential determinants to the economic resilience. In any case, it is necessary to determine the appropriate length of the analysed period, at the end of which the situation of regions is assessed. The aim of this paper is to evaluate the effect of different lengths of the analysed period. The effect of different time horizon is investigated first by classifying types of regions in terms of economic resilience and second also by the assessment of differences in strength of the relationship between potential determinants of economic resilience and a selected indicator of resilience. The analytical part of this paper is based on a dataset NUTS level 2 regions in connection with the economic crisis starting in 2008. The main research method used is a correlation analysis. The results show that the different length of a time horizon significantly influences both the classification of regions in terms of their resilience and also the strength of links between determinants and the indicator used for measuring economic resilience.