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Copyright of Papers in Regional Science is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Papers in Regional Science is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this paper, a flash flood that occurred in the Brazilian state of Santa Catarina in 2008 is used to investigate the existence of spatial spillovers from natural disasters in geographically‐linked areas. In order to do so, we estimated a Difference‐in‐Differences model that explicitly allows for the existence of spatial interactions within affected and unaffected regions. Our results show that municipalities directly affected by the flood suffered an 7.6% decrease in GDP per capita in the year of the disaster. Three years after the flood, however, GDP per capita rebounded back to pre‐disaster levels in all sectors but the Agricultural sector. Finally, our spatial estimations show that spillovers exist and are economically relevant. [ABSTRACT FROM AUTHOR]

This paper analyses the differential impact of several territorial determinants of the economic performance of Italian provinces (NUTS 3 level). as measured by per capita GDP, export and employment growth from 1999 to 2014. It covers both the pre‐crisis and the crisis period and stresses the role of geographical proximity in shaping local performance over a wide set of explanatory variables. In order to do so, we employ, firstly, a spatial Durbin model which enables us to discriminate between direct and indirect effects and to highlight the possible contagion or crowding‐out spatial effects for each territorial dimension affecting growth. Then, we extend the analysis by allowing for the possibility of two regimes (pre‐crisis and post‐crisis). The performance of the provinces before and during the crisis relates to specific territorial components and geographic proximity appears to influence differently the results and their interpretation. [ABSTRACT FROM AUTHOR]