This paper studies regional economic resilience by exploiting the properties of the non-linear smooth-transition autoregressive model. A testing procedure to distinguish between engineering and ecological resilience is presented, and a measurement of economic resilience is provided. Regional differences in economic resilience are explained by the presence of spatial interactions and by adopting a set of determinants like economic diversity, export performance, financial constraints, and human and social capital. An empirical investigation is conducted for analysing regional employment evolution in Italy from 1992 to 2012. Some concluding suggestions propose possible future areas of research.

Testing and explaining economic resilience with an application to Italian regions / DI CARO, P. - In: PAPERS IN REGIONAL SCIENCE. - ISSN 1056-8190. - 96:1(2017), pp. 93-113. [10.1111/pirs.12168]

Testing and explaining economic resilience with an application to Italian regions

DI CARO P
2017

Abstract

This paper studies regional economic resilience by exploiting the properties of the non-linear smooth-transition autoregressive model. A testing procedure to distinguish between engineering and ecological resilience is presented, and a measurement of economic resilience is provided. Regional differences in economic resilience are explained by the presence of spatial interactions and by adopting a set of determinants like economic diversity, export performance, financial constraints, and human and social capital. An empirical investigation is conducted for analysing regional employment evolution in Italy from 1992 to 2012. Some concluding suggestions propose possible future areas of research.
2017
regional resilience; hysteresis; smooth transition regression
01 Pubblicazione su rivista::01a Articolo in rivista
Testing and explaining economic resilience with an application to Italian regions / DI CARO, P. - In: PAPERS IN REGIONAL SCIENCE. - ISSN 1056-8190. - 96:1(2017), pp. 93-113. [10.1111/pirs.12168]
File allegati a questo prodotto
File Dimensione Formato  
Dicaro_Testing_2017.pdf

solo gestori archivio

Tipologia: Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 706.48 kB
Formato Adobe PDF
706.48 kB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1658341
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 117
  • ???jsp.display-item.citation.isi??? 106
social impact