Labour-saving automation: a direct measure of occupational exposure

This article represents one of the first attempts at building a direct measure of occupational exposure to robotic labour‐saving technologies. After identifying robotic and labour‐saving robotic patents, the underlying 4‐digit CPC (Cooperative Patent Classification) code definitions, together with O...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:World economy 2024, Vol.47 (1), p.332-361
1. Verfasser: Montobbio, Fabio
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 361
container_issue 1
container_start_page 332
container_title World economy
container_volume 47
creator Montobbio, Fabio
description This article represents one of the first attempts at building a direct measure of occupational exposure to robotic labour‐saving technologies. After identifying robotic and labour‐saving robotic patents, the underlying 4‐digit CPC (Cooperative Patent Classification) code definitions, together with O*NET (Occupational Information Network) task descriptions, are employed to detect functions and operations which are more directed to substituting the labour input and their exposure to labour‐saving automation. This measure allows us to obtain fine‐grained information on tasks and occupations according to their text similarity ranking. Occupational exposure by wage and employment dynamics in the United States is then studied, and complemented by investigating industry and geographical penetration rates.
doi_str_mv 10.1111/twec.13522
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2911091829</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2911091829</sourcerecordid><originalsourceid>FETCH-LOGICAL-c385t-df2abb6675f23c207be5fddb196a4f637caa0b2dc3e254623777049d02a6708b3</originalsourceid><addsrcrecordid>eNpFj0FLxDAQhYMoWFcvnjwueBOyzkzapDnK4qpQ8KLnkKSpdHHbNWkV_71dK_guc_mY9z7GLhFWOOV2-Ap-haIgOmIZ5lJxrQCPWQZClbzQBKfsLKUtAMqcIGNXlXX9GHmyn233trTj0O_s0PbdOTtp7HsKF393wV439y_rR149Pzyt7yruRVkMvG7IOielKhoSnkC5UDR17VBLmzdSKG8tOKq9CFTkkoRSCnJdA1mpoHRiwa7nv_vYf4whDWY77emmSkMaETSWpCfqZqZ87FOKoTH72O5s_DYI5mBuDubm13yClzMcfN-16R8ty6mfFGrxA6TdVGw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2911091829</pqid></control><display><type>article</type><title>Labour-saving automation: a direct measure of occupational exposure</title><source>Wiley Online Library Journals Frontfile Complete</source><source>PAIS Index</source><source>Worldwide Political Science Abstracts</source><source>Political Science Complete (EBSCOhost)</source><source>EBSCOhost Business Source Complete</source><creator>Montobbio, Fabio</creator><creatorcontrib>Montobbio, Fabio</creatorcontrib><description>This article represents one of the first attempts at building a direct measure of occupational exposure to robotic labour‐saving technologies. After identifying robotic and labour‐saving robotic patents, the underlying 4‐digit CPC (Cooperative Patent Classification) code definitions, together with O*NET (Occupational Information Network) task descriptions, are employed to detect functions and operations which are more directed to substituting the labour input and their exposure to labour‐saving automation. This measure allows us to obtain fine‐grained information on tasks and occupations according to their text similarity ranking. Occupational exposure by wage and employment dynamics in the United States is then studied, and complemented by investigating industry and geographical penetration rates.</description><identifier>ISSN: 0378-5920</identifier><identifier>EISSN: 1467-9701</identifier><identifier>DOI: 10.1111/twec.13522</identifier><language>eng</language><publisher>Oxford: Blackwell Publishing Ltd</publisher><subject>Automation ; Classification ; Cooperation ; Economic analysis ; Employment ; Labor ; Occupational exposure ; Occupations</subject><ispartof>World economy, 2024, Vol.47 (1), p.332-361</ispartof><rights>2023. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c385t-df2abb6675f23c207be5fddb196a4f637caa0b2dc3e254623777049d02a6708b3</citedby><cites>FETCH-LOGICAL-c385t-df2abb6675f23c207be5fddb196a4f637caa0b2dc3e254623777049d02a6708b3</cites><orcidid>0000-0001-5958-9647</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27843,27901,27902</link.rule.ids></links><search><creatorcontrib>Montobbio, Fabio</creatorcontrib><title>Labour-saving automation: a direct measure of occupational exposure</title><title>World economy</title><description>This article represents one of the first attempts at building a direct measure of occupational exposure to robotic labour‐saving technologies. After identifying robotic and labour‐saving robotic patents, the underlying 4‐digit CPC (Cooperative Patent Classification) code definitions, together with O*NET (Occupational Information Network) task descriptions, are employed to detect functions and operations which are more directed to substituting the labour input and their exposure to labour‐saving automation. This measure allows us to obtain fine‐grained information on tasks and occupations according to their text similarity ranking. Occupational exposure by wage and employment dynamics in the United States is then studied, and complemented by investigating industry and geographical penetration rates.</description><subject>Automation</subject><subject>Classification</subject><subject>Cooperation</subject><subject>Economic analysis</subject><subject>Employment</subject><subject>Labor</subject><subject>Occupational exposure</subject><subject>Occupations</subject><issn>0378-5920</issn><issn>1467-9701</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><sourceid>7UB</sourceid><recordid>eNpFj0FLxDAQhYMoWFcvnjwueBOyzkzapDnK4qpQ8KLnkKSpdHHbNWkV_71dK_guc_mY9z7GLhFWOOV2-Ap-haIgOmIZ5lJxrQCPWQZClbzQBKfsLKUtAMqcIGNXlXX9GHmyn233trTj0O_s0PbdOTtp7HsKF393wV439y_rR149Pzyt7yruRVkMvG7IOielKhoSnkC5UDR17VBLmzdSKG8tOKq9CFTkkoRSCnJdA1mpoHRiwa7nv_vYf4whDWY77emmSkMaETSWpCfqZqZ87FOKoTH72O5s_DYI5mBuDubm13yClzMcfN-16R8ty6mfFGrxA6TdVGw</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Montobbio, Fabio</creator><general>Blackwell Publishing Ltd</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TQ</scope><scope>7UB</scope><scope>8BJ</scope><scope>DHY</scope><scope>DON</scope><scope>FQK</scope><scope>JBE</scope><orcidid>https://orcid.org/0000-0001-5958-9647</orcidid></search><sort><creationdate>2024</creationdate><title>Labour-saving automation</title><author>Montobbio, Fabio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c385t-df2abb6675f23c207be5fddb196a4f637caa0b2dc3e254623777049d02a6708b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Automation</topic><topic>Classification</topic><topic>Cooperation</topic><topic>Economic analysis</topic><topic>Employment</topic><topic>Labor</topic><topic>Occupational exposure</topic><topic>Occupations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Montobbio, Fabio</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><collection>PAIS Index</collection><collection>Worldwide Political Science Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>World economy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Montobbio, Fabio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Labour-saving automation: a direct measure of occupational exposure</atitle><jtitle>World economy</jtitle><date>2024</date><risdate>2024</risdate><volume>47</volume><issue>1</issue><spage>332</spage><epage>361</epage><pages>332-361</pages><issn>0378-5920</issn><eissn>1467-9701</eissn><abstract>This article represents one of the first attempts at building a direct measure of occupational exposure to robotic labour‐saving technologies. After identifying robotic and labour‐saving robotic patents, the underlying 4‐digit CPC (Cooperative Patent Classification) code definitions, together with O*NET (Occupational Information Network) task descriptions, are employed to detect functions and operations which are more directed to substituting the labour input and their exposure to labour‐saving automation. This measure allows us to obtain fine‐grained information on tasks and occupations according to their text similarity ranking. Occupational exposure by wage and employment dynamics in the United States is then studied, and complemented by investigating industry and geographical penetration rates.</abstract><cop>Oxford</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/twec.13522</doi><tpages>30</tpages><orcidid>https://orcid.org/0000-0001-5958-9647</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0378-5920
ispartof World economy, 2024, Vol.47 (1), p.332-361
issn 0378-5920
1467-9701
language eng
recordid cdi_proquest_journals_2911091829
source Wiley Online Library Journals Frontfile Complete; PAIS Index; Worldwide Political Science Abstracts; Political Science Complete (EBSCOhost); EBSCOhost Business Source Complete
subjects Automation
Classification
Cooperation
Economic analysis
Employment
Labor
Occupational exposure
Occupations
title Labour-saving automation: a direct measure of occupational exposure
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T16%3A40%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Labour-saving%20automation:%20a%20direct%20measure%20of%20occupational%20exposure&rft.jtitle=World%20economy&rft.au=Montobbio,%20Fabio&rft.date=2024&rft.volume=47&rft.issue=1&rft.spage=332&rft.epage=361&rft.pages=332-361&rft.issn=0378-5920&rft.eissn=1467-9701&rft_id=info:doi/10.1111/twec.13522&rft_dat=%3Cproquest_cross%3E2911091829%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2911091829&rft_id=info:pmid/&rfr_iscdi=true