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Erschienen in: The Annals of Regional Science 2/2018

16.02.2017 | Special Issue Paper

Measuring resilience to economic shocks: an application to Spain

verfasst von: A. M. Angulo, J. Mur, F. J. Trívez

Erschienen in: The Annals of Regional Science | Ausgabe 2/2018

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Abstract

In this paper, we evaluate Spanish regions’ resistance to the economic crisis under three main resilience notions: “adaptative,” “engineering” and “ecological.” “Adaptative” resilience is measured through a traditional shift-share approach applied to employment, whereas “engineering” and “ecological” resilience pay attention to growth path and total employment level, in the pre- and post-crisis period. The paper presents an application of the different notion of resilience to the case of Spanish provinces in the last years. We find that provinces with sectoral structure and location advantages, or those with locational advantages in the post-crisis period (according to the “adaptative” resilience measure), exhibit a significantly lower “drop” in growth (according to the “engineering” and “ecological” resilience measure). Furthermore, we conclude that the probability of presenting a better behavior (lower “drop” in growth than the average) increases for those regions specialized in the service sector before the crisis. As expected, the worse behavior has correspond to those regions specialized in the pre-crisis period in the construction sector.

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Fußnoten
1
“Ecological” resilience is related to evolutionary theories, which consider the region as the result of social interactions subject to a process of transition, and time is considered a flow.
 
2
Nevertheless, our counterfactual predictions are obtained through a different process that is proposed in Fingleton and Palombi (2013).
 
3
They are represented as dotted lines in graphs in Fig. 1.
 
4
The demeaning equation is obtained by taking each variable in the regression equation in deviation from its average over time, for instance for the endogenous variable: \(y_{\mathrm{rt}}^*=y_{\mathrm{rt}} -\frac{\sum \nolimits _{t=1}^T {y_{\mathrm{rt}}}}{T}\).
 
5
We have excluded the Spanish autonomous cities of Ceuta and Melilla.
 
6
Such a breakpoint has also been confirmed through the calculation of successive F-Chow tests applied to the proposed models for all possible time periods.
 
7
In fact, the correlation coefficient among periods for each sector is the following: (1) agriculture: 0.9644; (2) industry: 0.8984; (3) construction: 0.4307; and (4) services: 0.9561.
 
8
Several studies have analyzed the consequences of sparser/denser matrix (see for instance Smith (2009)). Moreover, our results are consistent with other W matrices specified on the basis of the inverse of the distance between centroids in the provinces or the inverse of the square of such distances. Matrices based on the contiguity criteria have been discarded since we assume that (following Zeilstra and Elhorst (2014)), interaction in employment markets is determined, mainly, by distance.
 
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Metadaten
Titel
Measuring resilience to economic shocks: an application to Spain
verfasst von
A. M. Angulo
J. Mur
F. J. Trívez
Publikationsdatum
16.02.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
The Annals of Regional Science / Ausgabe 2/2018
Print ISSN: 0570-1864
Elektronische ISSN: 1432-0592
DOI
https://doi.org/10.1007/s00168-017-0815-8

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