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Technology, Skills, and Globalization: Explaining International Differences in Routine and Nonroutine Work Using Survey Data

Author

Listed:
  • Lewandowski, Piotr

    (Institute for Structural Research (IBS))

  • Park, Albert

    (Hong Kong University of Science & Technology)

  • Hardy, Wojciech

    (Institute for Structural Research (IBS))

  • Du, Yang

    (Chinese Academy of Social Sciences)

Abstract

The shift away from manual and routine cognitive work, and towards non-routine cognitive work is a key feature of labor markets. There is no evidence, however, if the relative importance of various tasks differs between workers performing seemingly similar jobs in different countries. We develop worker-level, survey-based measures of task content of jobs - non-routine cognitive analytical and personal, routine cognitive and manual - that are consistent with widely-used occupation-specific measures based on O*NET database. We apply them to representative surveys conducted in 42 countries at different stages of development. We find substantial cross-country differences in the content of work within occupations. Routine task intensity (RTI) of jobs decreases significantly with GDP per capita for high-skill occupations but not for middle- and low-skill occupations. We estimate the determinants of workers' RTI as a function of technology (computer use), globalization (specialization in global value chains), structural change, and supply of skills, and decompose their role in accounting for the variation in RTI across countries. Computer use, better education, and higher literacy skills are related to lower RTI. Globalization (as measured by sector foreign value-added share) increases RTI in poorer countries but reduces RTI in richer countries. Differences in technology endowments and in skills' supply matter most for cross-country differences in RTI, with globalization also important. Technology contributes the most to the differences in RTI among workers in high-skilled occupations and non-offshorable occupations; globalization contributes the most to differences among workers in low-skilled occupations and offshorable occupations.

Suggested Citation

  • Lewandowski, Piotr & Park, Albert & Hardy, Wojciech & Du, Yang, 2019. "Technology, Skills, and Globalization: Explaining International Differences in Routine and Nonroutine Work Using Survey Data," IZA Discussion Papers 12339, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp12339
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    Cited by:

    1. Piotr Lewandowski & Albert Park & Simone Schotte, 2020. "The global distribution of routine and non-routine work," IBS Working Papers 06/2020, Instytut Badan Strukturalnych.
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    3. Josten, Cecily & Lordan, Grace, 2022. "Automation and the Changing Nature of Work," IZA Discussion Papers 15180, Institute of Labor Economics (IZA).
    4. Aleksandra Parteka & Joanna Wolszczak-Derlacz, 2020. "Wage response to global production links: evidence for workers from 28 European countries (2005–2014)," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(4), pages 769-801, November.
    5. Julieta Caunedo & Elisa Keller & Yongseok Shin, 2023. "Technology and the Task Content of Jobs across the Development Spectrum," The World Bank Economic Review, World Bank, vol. 37(3), pages 479-493.
    6. Guido Matias Cortes & Diego M. Morris, 2019. "Are Routine Jobs Moving South? Evidence from Changes in the Occupational Structure of Employment in the U.S. and Mexico," Working Paper series 19-15, Rimini Centre for Economic Analysis.
    7. Delaporte, Isaure & Peña, Werner, 2023. "The Dynamics of Labour Market Polarization in Chile: An Analysis of the Link Between Technical Change and Informality," GLO Discussion Paper Series 1262, Global Labor Organization (GLO).
    8. Guido Matias Cortes1 & Diego M. Morris, 2020. "Are routine jobs moving south? Evidence from changes in the occupational structure of employment in the USA and Mexico," WIDER Working Paper Series wp2020-11, World Institute for Development Economic Research (UNU-WIDER).
    9. Martins-Neto, Antonio & Cirera, Xavier & Coad, Alex, 2022. "Routine-biased technological change and employee outcomes after mass layoffs: Evidence from Brazil," MERIT Working Papers 2022-014, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    10. Nikolova, Milena & Lepinteur, Anthony & Cnossen, Femke, 2023. "Just Another Cog in the Machine? A Worker-Level View of Robotization and Tasks," IZA Discussion Papers 16610, Institute of Labor Economics (IZA).
    11. Bennett, Fidel & Escudero, Verónica & Liepmann, Hannah & Podjanin, Ana, 2022. "Using Online Vacancy and Job Applicants' Data to Study Skills Dynamics," VfS Annual Conference 2022 (Basel): Big Data in Economics 264023, Verein für Socialpolitik / German Economic Association.
    12. Morrow, Peter M. & Trefler, Daniel, 2022. "How do endowments determine trade? quantifying the output mix, factor price, and skill-biased technology channels," Journal of International Economics, Elsevier, vol. 137(C).
    13. Cecilia Peluffo & Mariana Viollaz, 2021. "Intra-household exposure to labor market risk in the time of Covid-19: lessons from Mexico," Review of Economics of the Household, Springer, vol. 19(2), pages 327-351, June.
    14. Alipour, Jean-Victor & Falck, Oliver & Schüller, Simone, 2023. "Germany’s capacity to work from home," European Economic Review, Elsevier, vol. 151(C).
    15. Chunbing Xing, 2021. "The changing nature of work and earnings inequality in China," WIDER Working Paper Series wp-2021-105, World Institute for Development Economic Research (UNU-WIDER).
    16. Joel HELLIER, 2021. "Globalization and Inequality in Advanced Economies: A Provisional Assessment," Working Papers 575, ECINEQ, Society for the Study of Economic Inequality.
    17. Sabina Szymczak & Aleksandra Parteka & Joanna Wolszczak-Derlacz, 2022. "Position in global value chains and wages in Central and Eastern European countries," European Journal of Industrial Relations, , vol. 28(2), pages 211-230, June.
    18. Carlos Gradín & Simone Schotte, 2020. "Implications of the changing nature of work for employment and inequality in Ghana," WIDER Working Paper Series wp-2020-119, World Institute for Development Economic Research (UNU-WIDER).
    19. Francesco Vona, 2023. "Skills and human capital for the low-carbon transition in developing and emerging economies," Working Papers 2023.19, Fondazione Eni Enrico Mattei.
    20. Antonio Martins-Neto & Nanditha Mathew & Pierre Mohnen & Tania Treibich, 2021. "Is There Job Polarization in Developing Economies? A Review and Outlook," CESifo Working Paper Series 9444, CESifo.
    21. Haroon Bhorat & Kezia Lilenstein & Morné Oosthuizen & Amy Thornton, 2020. "Wage polarization in a high-inequality emerging economy: The case of South Africa," WIDER Working Paper Series wp-2020-55, World Institute for Development Economic Research (UNU-WIDER).
    22. Rica, Sara De La & Gortazar, Lucas & Lewandowski, Piotr, 2020. "Job Tasks and Wages in Developed Countries: Evidence from PIAAC," Labour Economics, Elsevier, vol. 65(C).
    23. repec:gdk:wpaper:66 is not listed on IDEAS
    24. Arief Anshory Yusuf & Putri Riswani Halim, 2021. "Inequality and structural transformation in the changing nature of work: The case of Indonesia," WIDER Working Paper Series wp-2021-81, World Institute for Development Economic Research (UNU-WIDER).

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    More about this item

    Keywords

    PIAAC; CULS; global division of labor; deroutinisation; task content of jobs; STEP;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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