Technology, Skills, and Globalization: Explaining International Differences in Routine and Nonroutine Work Using Survey Data
Piotr Lewandowski,
Albert Park,
Wojciech Hardy,
Yang Du and
Saier Wu
The World Bank Economic Review, 2022, vol. 36, issue 3, 687-708
Abstract:
The shift from routine work to nonroutine cognitive work is a key feature of labor markets globally, but there is little evidence on the extent to which tasks differ among workers performing the same jobs in different countries. This paper constructs survey-based measures of routine task intensity (RTI) of jobs consistent with those based on the U.S. O*NET database for workers in 47 countries. It confirms substantial cross-country differences in the content of work within occupations. The extent to which workers’ RTI is predicted by technology, supply of skills, globalization, and economic structure is assessed; and their contribution to the variation in RTI across countries is quantified. Technology is by far the most important factor. Supply of skills is next in importance, especially for workers in high-skilled occupations, while globalization is more important than skills for workers in low-skilled occupations. Occupational structure explains only about one-fifth of cross-country variation in RTI.
Keywords: tasks; jobs; labor; technology; globalization (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://hdl.handle.net/10.1093/wber/lhac005 (application/pdf)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Technology, Skills, and Globalization: Explaining International Differences in Routine and Nonroutine Work Using Survey Data (2019) 
Working Paper: Technology, Skills, and Globalization: Explaining International Differences in Routine and Nonroutine Work Using Survey Data (2019) 
Working Paper: Technology, Skills, and Globalization: Explaining International Differences in Routine and Nonroutine Work Using Survey Data (2019) 
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:oup:wbecrv:v:36:y:2022:i:3:p:687-708.
Ordering information: This journal article can be ordered from
https://academic.oup.com/journals
Access Statistics for this article
The World Bank Economic Review is currently edited by Eric Edmonds and Nina Pavcnik
More articles in The World Bank Economic Review from World Bank Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK. Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().