2020
DOI: 10.1007/s40812-020-00164-9
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The Italian value chain in the pandemic: the input–output impact of Covid-19 lockdown

Abstract: This paper investigates the role of the domestic value chain in transmitting the economic impact of Covid-19 lockdown measures. By employing techniques of complex networks analysis and input–output traditional tools, the study identifies those sectors that are key in the complex structure of the Italian supply chain and provides different rankings of the most ‘systemically important’ industries involved in the Covid-19 lockdown. The results suggest that by stopping the production process of many key sectors, t… Show more

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Cited by 50 publications
(46 citation statements)
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“…Lockdown measures had a great impact on the level of activity. Giammetti et al ( 2020 ) estimate that the lockdown measures had an impact of approximately 52% of circulating value added. These findings are in line with those performed including a richer pool of countries, that estimate a reduction between 30 and 50% of the level of activity during the first lockdown (OECD 2020a ).…”
Section: Literature Review and Discussionmentioning
confidence: 99%
“…Lockdown measures had a great impact on the level of activity. Giammetti et al ( 2020 ) estimate that the lockdown measures had an impact of approximately 52% of circulating value added. These findings are in line with those performed including a richer pool of countries, that estimate a reduction between 30 and 50% of the level of activity during the first lockdown (OECD 2020a ).…”
Section: Literature Review and Discussionmentioning
confidence: 99%
“… 2019 ; Giammetti et al. 2020 ), it is reasonable to work with the gross input–output tables. In this study, we will use the gross tables everywhere.…”
Section: Methodsmentioning
confidence: 99%
“…2017 ), identifying the central sectors of an economy (Giammetti et al. 2020 ), and examination of the sectoral effects of disasters (Dietzenbacher and Miller 2015 ). The application of network theory methods complements these standard models and more complex analysis can be performed by mixing these techniques (Amador and Cabral 2017 ).…”
Section: Introductionmentioning
confidence: 99%
“…No aggregate model can unveil this important effect. Moreover, many recent studies (including the above-mentioned two and Giammetti et al, 2020), show that input-output relations amplify the macroeconomic effect of a lockdown in some industries via both supply and demand chains. The connections between final demand and gross demand for any particular commodity, the inverse Leontief matrix, the direct and indirect effects of a change in consumption demand on outputs and employment in the various industries, which feature so prominently in the SMT book and are so familiar in Sraffian models, are becoming an essential ingredient (rather than an aspect of detail) of macroeconomic modelling.…”
Section: By Way Of Conclusionmentioning
confidence: 99%