Arbeitspapier

Automation, Global Value Chains and Functional Specialization

We study how technology adoption and changes in global value chain (GVC) integration jointly affect labor shares and business function specialization in a sample of 14 manufacturing industries in 14 European countries in 1999–2011. Our main contribution is to highlight the indirect effect of robotization on relative demand for labor via GVC integration. To do this, we develop a methodology to separately account for robots in the total capital stock. Increases in upstream, forward GVC participation directly reduce labor shares, mostly through reductions in fabrication, but also via management, marketing and R&D business functions. We do not find any direct effects of robot adoption; robotization affects labor only indirectly, by increasing upstream, forward GVC integration. In this sense robotization is "upstream-biased". We also study novel channels through which rapid robotization in China shaped robotization in Europe and, therefore, GVC participation. This highlights an understudied way by which the global integration of China has affected relative demand for labor in its trading partners.

Sprache
Englisch

Erschienen in
Series: CESifo Working Paper ; No. 10281

Klassifikation
Wirtschaft
Aggregate Factor Income Distribution
Empirical Studies of Trade
Trade and Labor Market Interactions
Technological Change: Choices and Consequences; Diffusion Processes
Thema
labor share
functional specialization
global value chains
upstreamness
technological change
automation
robots

Ereignis
Geistige Schöpfung
(wer)
Fontagné, Lionel
Reshef, Ariell
Santoni, Gianluca
Vannelli, Giulio
Ereignis
Veröffentlichung
(wer)
Center for Economic Studies and ifo Institute (CESifo)
(wo)
Munich
(wann)
2023

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Fontagné, Lionel
  • Reshef, Ariell
  • Santoni, Gianluca
  • Vannelli, Giulio
  • Center for Economic Studies and ifo Institute (CESifo)

Entstanden

  • 2023

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