The Exposure Geography of Italian Local Economies to Major Foreign Ones. Evidences from a Multiscale Spatial Experiment Based on Granularity

Armenise Massimo, Benassi Federico (), D’Elia Marica, Mantuano Marianna and Petrei Francesca
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Armenise Massimo: Italian National Institute of Statistics, Rome, Italy
Benassi Federico: Italian National Institute of Statistics, Rome, Italy
D’Elia Marica: Italian National Institute of Statistics, Rome, Italy
Mantuano Marianna: Italian National Institute of Statistics, Rome, Italy
Petrei Francesca: Italian National Institute of Statistics, Rome, Italy

Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), 2022, vol. 242, issue 1, 87-105

Abstract: An original approach to spatial economic analysis is here proposed with reference to Italy. A granularity approach is applied on microdata related to a panel of firms that have been active during 2007–2017. At each firm is therefore associated a coefficient of exposure to the economic cycle of four major foreign economies: Germany, UK, USA, and China. This information is then linked to territorial level and analyzed at two geographical scales: regional and sub-regional. The autocorrelation spatial analysis carried out lead us to appreciate geography of exposure to positive or negative shocks coming from each of the four foreign economies. This geography is very different from the administrative one and can represent a tool for planning future strategies of economic investments and territorial planning.

Keywords: beta coefficients (Β); demography of firms; granularity; Italy; local scale; spatial dependence (search for similar items in EconPapers)
JEL-codes: C23 E32 F14 R1 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:jns:jbstat:v:242:y:2022:i:1:p:87-105:n:4

DOI: 10.1515/jbnst-2020-0064

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