Italian manufacturing productivity, 1976-2016: sectoral reallocation versus firms’ heterogeneity
Principal Investigator(s): View help for Principal Investigator(s) Carlo Brambilla, Università degli Studi dell'Insubria; Fabio Lavista, Università di Pisa
Version: View help for Version V1
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Project Citation:
Brambilla, Carlo, and Lavista, Fabio. Italian manufacturing productivity, 1976-2016: sectoral reallocation versus firms’ heterogeneity. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-02-01. https://doi.org/10.3886/E217441V1
Project Description
Summary:
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Based on new datasets
collecting financial statements and off-balance sheet data on a wide
number of medium and large Italian enterprises between the 1970s and
the 2010s, the work aims at contributing to the debate about the
productivity growth gap that affected the Italian industry, as
compared to other advanced economies, at the end of the last century.
It also aims at understanding whether productivity gaps were mainly
determined by differences among firms (within-effect) or by
resources’ reallocation across industries (between-effect).
What emerges from the long term analysis is a contraction of most
productive sectors and a productivity slowdown affecting
almost all industries. In
the long run, the reallocation of resources across
sectors
has had a negative impact on productivity trends, preceding and
somehow offsetting any positive contributions from the within-effect.
Scope of Project
Subject Terms:
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Structural change; Industrial organization; Italian economic history 1945-
Geographic Coverage:
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Italy
Time Period(s):
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1976 – 2016
Collection Date(s):
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2020 – 2024
Universe:
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Italian companies
Data Type(s):
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administrative records data;
aggregate data
Methodology
Data Source:
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Mediobanca, Le principali società italiane, ad annos
OECD
Productivity Database, April 2024 ed.
OECD
STAN Database, 2020 ed.
Eurostat,
Labour productivity and unit labour costs at industry level dataset
ISTAT,
Industrial Censuses, ad annos
EU
Klems
Collection Mode(s):
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other
Unit(s) of Observation:
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Industrial sector, year
Geographic Unit:
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Country
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