Marco Modica

Dr. Marco Modica

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 August 2014 in Networks and Spatial Economics
Verified
Journal Article
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MMMarco Modica
Marco Modica
ARAura Reggiani
Aura Reggiani

1 April 2019 in Papers in Regional Science
Verified
Journal Article
Open access
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GCGiulio Cainelli
Giulio Cainelli
RGRoberto Ganau
Roberto Ganau
MMMarco Modica
Marco Modica
The 2008 Great Recession prompted interest in the concept of regional resilience. This paper discusses and empirically investigates the relationship between industrial relatedness and economic resilience across European Union regions over the 2008–2012 crisis period. The analysis focuses on two types of industrial relatedness: technological and vertical (i.e., market‐based). The empirical analysis is performed on a sample of 209 NUTS 2 regions in 16 countries. Our results highlight a positive effect of technological relatedness on the probability of resilience in the very short run (i.e., the 2008–2009 period), while the negative effect of vertical relatedness seems to persist for longer.

6 May 2019 in The Annals of Regional Science
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Journal Article
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GCGiulio Cainelli
Giulio Cainelli
RGRoberto Ganau
Roberto Ganau
MMMarco Modica
Marco Modica

1 May 2017 in Environmental Impact Assessment Review
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Journal Article
Closed access
GMGiovanni Marin
Giovanni Marin
MMMarco Modica
Marco Modica

25 September 2017 in International Journal of Disaster Risk Science
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Journal Article
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FMFabrizio Meroni
Fabrizio Meroni
TSThea Squarcina
Thea Squarcina
VPVera Pessina
Vera Pessina
MLMario Locati
Mario Locati
MMMarco Modica
Marco Modica
RZRoberto Zoboli
Roberto Zoboli
In May 2012 a seismic sequence occurred in Northern Italy that was characterized by two main shocks with a magnitude range between 5.5 and 6. These shocks represent a good case study by which to quantify the monetary losses caused by a moderate earthquake in a densely populated and economically well-developed area. The loss estimation accounts for damage to residential buildings, and considers the full effect of all the seismic aftershock events that lasted for nearly a month. The building damage estimation is based on the European Macroseismic Scale (EMS-98) definitions, which depict the effects of an earthquake on built-up areas in terms of observed intensities. Input data sources are the residential building census provided by Istituto Nazionale di Statistica—the Italian National Institute of Statistics (ISTAT)—and the official market value of real estate assets, obtained from the Osservatorio del Mercato Immobiliare—the Real Estate Market Observatory (OMI). These data make it possible to quantify the economic losses due to earthquakes, an economic indicator updated yearly. The proposed multidisciplinary method takes advantage of seismic, engineering, and economic data sets, and is able to provide a reasonable after the event losses scenario. Data are not gathered for each single building and the intensity values are not a simple hazard indicator, but, notwithstanding its coarseness, this method ensures both robust and reproducible results. As the local property value is available throughout the Italian territory, the present loss assessment can be effortlessly repeated for any area, and may be quickly reproduced in case of future events, or used for predictive economic estimations.

22 July 2015 in Journal of Regional Science
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Journal Article
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GFGiorgio Fazio
Giorgio Fazio
MMMarco Modica
Marco Modica