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Labour-saving automation: A direct measure of occupational exposure

Research output: Contribution to journalArticle

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.
Original languageEnglish
Pages (from-to)332-361
Number of pages30
JournalWorld Economy
Volume47
Issue number1
DOIs
Publication statusPublished - 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

All Science Journal Classification (ASJC) codes

  • Accounting
  • Finance
  • Economics and Econometrics
  • Political Science and International Relations

Keywords

  • labour markets
  • labour-saving technology
  • natural language processes
  • technological unemployment

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