000087675 001__ 87675 000087675 005__ 20200217131909.0 000087675 0247_ $$2doi$$a10.1007/s00168-017-0815-8 000087675 0248_ $$2sideral$$a98077 000087675 037__ $$aART-2018-98077 000087675 041__ $$aeng 000087675 100__ $$0(orcid)0000-0003-4719-1345$$aAngulo, A. M.$$uUniversidad de Zaragoza 000087675 245__ $$aMeasuring resilience to economic shocks: an application to Spain 000087675 260__ $$c2018 000087675 5060_ $$aAccess copy available to the general public$$fUnrestricted 000087675 5203_ $$aIn 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. 000087675 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000087675 590__ $$a1.075$$b2018 000087675 591__ $$aECONOMICS$$b209 / 363 = 0.576$$c2018$$dQ3$$eT2 000087675 591__ $$aGEOGRAPHY$$b64 / 83 = 0.771$$c2018$$dQ4$$eT3 000087675 591__ $$aREGIONAL & URBAN PLANNING$$b36 / 39 = 0.923$$c2018$$dQ4$$eT3 000087675 591__ $$aENVIRONMENTAL STUDIES$$b103 / 116 = 0.888$$c2018$$dQ4$$eT3 000087675 592__ $$a0.646$$b2018 000087675 593__ $$aSocial Sciences (miscellaneous)$$c2018$$dQ1 000087675 593__ $$aEnvironmental Science (miscellaneous)$$c2018$$dQ1 000087675 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000087675 700__ $$0(orcid)0000-0002-7384-9166$$aMur, J.$$uUniversidad de Zaragoza 000087675 700__ $$0(orcid)0000-0003-0979-1067$$aTrívez, F. J.$$uUniversidad de Zaragoza 000087675 7102_ $$14000$$2415$$aUniversidad de Zaragoza$$bDpto. Análisis Económico$$cÁrea Fund. Análisis Económico 000087675 773__ $$g60, 2 (2018), 349–373$$pAnn. reg. sci.$$tANNALS OF REGIONAL SCIENCE$$x0570-1864 000087675 8564_ $$s473167$$uhttps://zaguan.unizar.es/record/87675/files/texto_completo.pdf$$yPostprint 000087675 8564_ $$s279941$$uhttps://zaguan.unizar.es/record/87675/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000087675 909CO $$ooai:zaguan.unizar.es:87675$$particulos$$pdriver 000087675 951__ $$a2020-02-17-12:30:26 000087675 980__ $$aARTICLE