The Long-Run Productivity Effects of Technology Adoption: Evidence from France - Mara Squicciarini (Bocconi University)
DeFiPP Seminar
Date : 03/12/2019 16:00 - 03/12/2019 17:30
Lieu : Salle C. Joset
Organisateur(s) : Guilhem Cassan
Abstract: We construct a unique dataset to examine the
evolution of firm productivity during a period of rapid technological
change: The diffusion of mechanized cotton spinning during the
Industrial Revolution in France. Before mechanization,
cotton spinning was performed in households. Production in
firms only emerged with the new technology around 1800, allowing us to
isolate the productivity distribution for firms that use the new
technology. We contrast the long-run productivity effects of
technology adoption in cotton spinning with two comparison sectors –
metallurgy and paper milling. We document several stylized facts that
can explain the well-documented puzzle that major technological
breakthroughs tend to be adopted slowly across firms
and – even after being adopted – take time to be reflected in higher
aggregate productivity: Relative to the comparison sectors, the
productivity of firms in cotton spinning was initially highly dispersed
and characterized by low firm survival. Over the subsequent
decades, cotton spinning experienced dramatic productivity growth that
was almost entirely driven by a disappearance of firms in the lower
tail, while innovations in the comparison sectors shifted
the whole productivity distribution. Rich historical evidence
suggests that these patterns were driven by the need to re-organize
production under the new technology. This process of ‘trial and error’
led to widely dispersed initial productivity ‘draws,’ low initial
average productivity, and – in the subsequent decades
– to high productivity growth as new entrants adopted improved
methods of production and organization. We show document several pieces
of evidence consistent with our proposed mechanism.
This work is co-authored with Reka Juhasz and Nico Voigtlaender.
Contact :
Guilhem Cassan
-
guilhem.cassan@unamur.be
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