eprintid: 2739
rev_number: 1
eprint_status: archive
userid: 1
dir: disk0/00/00/27/39
datestamp: 2020-04-23 05:42:51
lastmod: 2020-04-23 05:42:51
status_changed: 2020-04-23 05:42:51
type: thesis
metadata_visibility: show
creators_name: Cheng, Chen
title: Automation and the Relatedness of Jobs in European Regions
ispublished: pub
full_text_status: public
abstract: Automation is changing the nature of work in the EU. This paper has taken a novel occupational-network approach to examine the impact of automation on the evolution of jobs in regions. We recognise two types of relatedness which mediates the impact of automation on regional job re-composition. By using data from European labour force survey and Eurostat, we calculate each of the relatedness and examine the impact of risk of automation with them on the evolution of the occupational structure of 221 EU NUTS2 regions for the period of 2014-2016. The main conclusion is that the impact of automation on geographical relatedness is associated with a higher probability of disappearance of an existing occupation specialisation on the one hand, and the impact of automation on complementarity relatedness is associated with a higher probability of entry of a new occupation specialisation.
date: 2019
date_type: published
thesis_type: master
degree_programme: RS
tutors_name: Sijtsma. F, 
keywords_local: European regions
keywords_local: Occupation
keywords_local: Automation
keywords_local: Relatedness
keywords_local: Skills
language_iso: en
titleorder: Automation and the Relatedness of Jobs in European Regions
dbi: 5ca731856e5da
imported_item: yes
date_of_import: 2020-04-22
imported_from: http://scripties.frw.eldoc.ub.rug.nl/root/ma/RS/2019/ccheng/
import_source_file: theses-frw-20200422132455-5ca731856e5da.xml
date_issued: 2019-01-01
citation:   Cheng, Chen  (2019) Automation and the Relatedness of Jobs in European Regions.  Master thesis.   
document_url: https://frw.studenttheses.ub.rug.nl/2739/1/Cheng_Thesis_Final.pdf