Industrial pattern and robot adoption in European regions

Massimiliano Nuccio (), Marco Guerzoni (), Riccardo Cappelli () and Aldo Geuna
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Riccardo Cappelli: Department of Economics and Social Sciences, Polytechnic University of Marche

No 3, Working Papers from Venice School of Management - Department of Management, Università Ca' Foscari Venezia

Abstract: Recent literature on the diffusion of robots mostly ignores the regional dimension. The contribution of this paper at the debate on Industry 4.0 is twofold. First, IFR (2017) data on acquisitions of industrial robots in the five largest European economies are rescaled at regional levels to draw a first picture of winners and losers in the European race for advanced manufacturing. Second, using an unsupervised machine learning approach to classify regions based on their composition of industries. The paper provides novel evidence of the relationship between industry mix and the regional capability of adopting robots in the industrial processes.

Keywords: Robots; Industry 4.0.; Innovation; Industry Mix; Self-Organizing Maps (search for similar items in EconPapers)
JEL-codes: E32 O33 R11 R12 (search for similar items in EconPapers)
Pages: 34 pages
Date: 2020-07
New Economics Papers: this item is included in nep-big, nep-cmp, nep-geo, nep-ino, nep-mac, nep-sbm, nep-tid and nep-ure
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:vnm:wpdman:173

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