Determinazione di aree economiche per la valutazione dell’impatto sul sistema produttivo italiano delle misure di contrasto all’epidemia da Covid-19

Economic areas detection for assessing the impact on Italian productive system of the measures to counteract the epidemic from Covid-19

Paola Anitori, Carlo De Gregorio, Alessandra Reale and Fabio Sforzi

MPRA Paper from University Library of Munich, Germany

Abstract: The paper proposes a new geography of nested economic areas that shape the Italian economy. These economic areas, named economic regions and economic macro-regions, are an upper tier integration of Local Labour Systems (LLS) obtained using a Community Detection algorithm called INFOMAP. This approachdetermines the optimal number of regions and the assignment of LLS to them, minimizing a function known as MAP Equation. In the paper, these economic areas are the unit of analysis for impact assessment on the Italian economy of control measures implemented by the government to counteract the epidemic from Covid-19. Moreover, if the purpose is to contain new epidemic hotbeds of Covid-19, these areas are the most suitable tool for doing so, because of their extremely high self-containment, much higher than that of LLSs. Finally, the paper suggests their utility for both epidemiological and socio-economic monitoring.

Keywords: Covid-19; SARS-CoV-2; journey to work; infomap; community detection; graph partitioning; functional areas; local labour systems; local productive systems; economic regions; macro-economic regions; Italy (search for similar items in EconPapers)
JEL-codes: D85 L60 O10 R10 (search for similar items in EconPapers)
Date: 2020-07-13
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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