Conceptualizing and measuring “industry resilience”: Composite indicators for postshock industrial policy decision-making

Tommaso, Marco R. Di; Prodi, Elena; Pollio, Chiara; Barbieri, Elisa

doi:10.1016/j.seps.2022.101448

Cited by 9 publications

(26 citation statements)

References 128 publications

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“…Resilience: Drop and recovery. Di Tommaso, 2020a;Di Tommaso et al, 2022;OECD, 2021). As mentioned above, the intuition and the assumption underpinning this paper is that the more resilient our industries are, the better the economy and society as a whole are.…”

Section: Industry Resiliencementioning

confidence: 86%

“…For details on the indicators' construction, see Di Tommaso et al (2022). Overall, industry resilience accounts for multiple dimensions characterizing postshock sectors' behaviour, namely, drops, rebounds, velocity, and counterfactual elements related to both employment quantity and employment quality.…”

Section: Measuring Industry Resilience Through Composite Indicatorsmentioning

confidence: 99%

“…3 Data are drawn from the European Union Labour Force Survey (EU-LFS), which includes quarterly employment quantity data for 10 one-digit NACE sectors. Table 1 reports the peaks, troughs and rebound points for the 10 sectors; 4 these points identify the overall time frame under analysis (Di Tommaso et al, 2022). Overall, the time frame considered extends from the third quarter in 2007 (where the first peak occurs in manufacturing and arts, entertainment, recreation) to the fourth quarter in 2016 (where the last rebound point occurs in financial and insurance activities).…”

Section: Data Variables and Indicatorsmentioning

confidence: 99%

“…III) We weight indicators by attaching the same weight to each one of the six indicators, as the literature has suggested in similar cases (JRC-EC, 2008;Marozzi, 2015;Saisana et al, 2005); IV) We follow Di Tommaso et al (2022) and use the equally weighted geometric mean as the aggregation method, which uses the product of the indicators as follows. For each sector j…”

Section: Data Variables and Indicatorsmentioning

confidence: 99%

“…In the following paragraphs, we present a methodology that measures industry resilience (Di Tommaso et al, 2022) and apply it to the Italian case to assess the resilience capacity of sectors in the aftermath of the 2008 shock. Particular attention will be devoted to tourism-related industries.…”

Section: Introductionmentioning

confidence: 99%

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Does industry resilience matter for postshock industrial policy? A focus on tourism-related industries

2023

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Selective industrial policies have been increasingly used by governments to achieve desired normative goals. However, they have been revealed to be complex and vulnerable interventions, demanding robust tools able to justify choices and mitigate potential ‘government failures’. In light of the emerging challenges and potential disruptions that might threaten our economies and societies, we contend that postshock industry resilience can be a valuable analytical framework to understand how different sectors react to unforeseen shocks. Accordingly, we present a methodology that measures postshock industry resilience and apply it to the Italian case in the aftermath of the 2008 shock. Particular attention is devoted to tourism-related industries. Main findings show that the industries reacted heterogeneously to the 2008 shock. For tourism-related industries, the results suggest following an ad hoc approach to the analysis of each tourism-focused industry to avoid generalizations that might lead to incorrect policy interpretations.

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Section: Industry Resiliencementioning

confidence: 86%

Section: Measuring Industry Resilience Through Composite Indicatorsmentioning

confidence: 99%

Section: Data Variables and Indicatorsmentioning

confidence: 99%