The Effects of the COVID-19-induced Lockdown on the Social Capital and Cultural Capital in Italy
Elisa Menardo,
Marta Viola,
Alice Bacherini,
Luana Angelini,
Roberto Cubelli and
Giulia Balboni ()
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Elisa Menardo: University of Verona
Marta Viola: Sapienza University of Roma
Alice Bacherini: University of Perugia
Luana Angelini: University of Perugia
Roberto Cubelli: University of Trento
Giulia Balboni: University of Perugia
Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2023, vol. 168, issue 1, No 22, 585-606
Abstract:
Abstract The present study investigated the effects of the first COVID-19 lockdown on the Cultural and Social Capitals in Italy in a large group of adults (n = 1125). The relationships between the COVID-19 spread and participants’ Cultural Capital, Social Capital, educational level, occupational prestige, and age were studied using structural equation models. For women but not for men, pandemic spread was positively affected by occupational prestige and it had a positive relationship with their Social Capital (women: CFI = 0.949; RMSEA = 0.059 [CI = 0.045-0.075]; men: CFI = 0.959; RMSEA = 0.064 [CI = 0.039–0.087]). Moreover, the participants were divided into three validated clusters based on their Cultural and Social Capitals levels to investigate changes in the Capitals compared with the pre-lockdown period. It was found that the lockdown contributed to improving the gap among individuals increasing high levels and decreasing low levels of both the Capitals. People with high Cultural and Social Capitals seemed to have seized the opportunity given by COVID-19 restrictions to cultivate their cultural interests and become more involved within their networks. In contrast, individuals with low Cultural and Social Capitals paid the highest price for the social isolation. Given that the Capitals encourage healthy behavior and influence well-being and mental health, institutions should develop or improve their policies and practices to foster individual resources, and make fairer opportunities available during the pandemic.
Keywords: Structural equation models; Cluster analysis; Sociocultural level; Socioeconomic status; Pandemic (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:soinre:v:168:y:2023:i:1:d:10.1007_s11205-023-03140-7
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DOI: 10.1007/s11205-023-03140-7
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