Abstract

Significance This paper presents a large-scale analysis of the impact of lockdown measures introduced in response to the spread of novel coronavirus disease 2019 (COVID-19) on socioeconomic conditions of Italian citizens. We leverage a massive near–real-time dataset of human mobility and we model mobility restrictions as an exogenous shock to the economy, similar to a natural disaster. We find that lockdown measures have a twofold effect: First, their impact on mobility is stronger in municipalities with higher fiscal capacity; second, they induce a segregation effect: mobility contraction is stronger in municipalities where inequality is higher and income per capita is lower. We highlight the necessity of fiscal measures that account for these effects, targeting poverty and inequality mitigation.

Keywords

PovertyLeverage (statistics)Coronavirus disease 2019 (COVID-19)InequalityEconomicsEconomic mobilityPer capitaSocioeconomic statusEconomic inequalityShock (circulatory)Social mobilityDevelopment economicsDemographic economicsEconomic growthInfectious disease (medical specialty)DiseasePolitical scienceEnvironmental healthPopulation

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Publication Info

Year
2020
Type
article
Volume
117
Issue
27
Pages
15530-15535
Citations
1043
Access
Closed

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Giovanni Bonaccorsi, Francesco Pierri, Matteo Cinelli et al. (2020). Economic and social consequences of human mobility restrictions under COVID-19. Proceedings of the National Academy of Sciences , 117 (27) , 15530-15535. https://doi.org/10.1073/pnas.2007658117

Identifiers

DOI
10.1073/pnas.2007658117