EconPapers    
Economics at your fingertips  
 

Unveiling the automation—wage inequality nexus within and across regions

Roberta Capello (), Simona Ciappei () and Camilla Lenzi ()
Additional contact information
Roberta Capello: Politecnico di Milano
Simona Ciappei: Politecnico di Milano
Camilla Lenzi: Politecnico di Milano

The Annals of Regional Science, 2024, vol. 73, issue 4, No 15, 1729-1756

Abstract: Abstract Since the1800s, automation technologies have been interpreted as a source of displacement effects, largely conceptualised and empirically proved in a vast literature. This paper claims that, despite their non-manufacturing nature, metropolitan regions are not exempted by the negative effects of automation on wage inequalities across workers’ groups. The paper empirically proves this statement by analysing the effects on jobs and wage differentials among groups of workers associated with the diffusion of robot technologies in Italian NUTS3 regions in the period 2012–2019. Results show that automation technologies in the form of robotisation do displace jobs, harming particularly low-skilled workers in non-metropolitan manufacturing regions, where inter-group wage inequalities increase. However, through the creation of high-skilled jobs, also cities experience a rise of inter-group workers inequalities. These results call for appropriate policies to cope with the changing occupational profiles requested by the labour market.

JEL-codes: O33 R11 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s00168-024-01317-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:anresc:v:73:y:2024:i:4:d:10.1007_s00168-024-01317-7

Ordering information: This journal article can be ordered from
http://link.springer.com/journal/168

DOI: 10.1007/s00168-024-01317-7

Access Statistics for this article

The Annals of Regional Science is currently edited by Martin Andersson, E. Kim and Janet E. Kohlhase

More articles in The Annals of Regional Science from Springer, Western Regional Science Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:anresc:v:73:y:2024:i:4:d:10.1007_s00168-024-01317-7