Robort Imports and Firm-Level Outcomes

37 Pages Posted: 3 Oct 2023 Last revised: 11 Oct 2023

See all articles by Alessandra Bonfiglioli

Alessandra Bonfiglioli

Queen Mary University of London

Rosario Crinò

University of Bergamo - Department of Economics

Harald Fadinger

University of Mannheim

Gino Gancia

Queen Mary University of London; Universitat Pompeu Fabra - Centre de Recerca en Economia Internacional (CREI)

Date Written: October 4, 2023

Abstract

We use French data over the 1994-2013 period to study how imports of industrial robots affect firm-level outcomes. Guided by a simple model, we develop a novel empirical strategy to identify the causal effects of robot adoption. Our results suggest that, while demand shocks generate a positive correlation between robot imports and employment at the firm level, exogenous exposure to automation leads to job losses. We also find that robot exposure increases labor productivity and some evidence that it may raise the relative demand for high-skill professions.

Keywords: Automation, Displacement, Firms, Robots

JEL Classification: J23, J24, O33, D22

Suggested Citation

Bonfiglioli, Alessandra and Crinò, Rosario and Fadinger, Harald and Gancia, Gino, Robort Imports and Firm-Level Outcomes (October 4, 2023). University of Milan Bicocca Department of Economics, Management and Statistics Working Paper Forthcoming, Available at SSRN: https://ssrn.com/abstract=4590669

Alessandra Bonfiglioli

Queen Mary University of London ( email )

Mile End Road
London, London E1 4NS
United Kingdom

Rosario Crinò

University of Bergamo - Department of Economics ( email )

Piazza Rosate 2
I-24100 Bergamo, 24127
Italy

Harald Fadinger

University of Mannheim ( email )

Department of Economics
L7 3-5
Mannheim, 68131
Germany

Gino Gancia (Contact Author)

Queen Mary University of London ( email )

Mile End Road
London, London E1 4NS
United Kingdom

Universitat Pompeu Fabra - Centre de Recerca en Economia Internacional (CREI) ( email )

Ramon Trias Fargas, 25-27
Barcelona, 08005
Spain

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