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Education, routine, and complexity-biased Knowledge Enabling Technologies: Evidence from Emilia-Romagna, Italy

Author

Listed:
  • Roberto Antonietti

    (University of Padova)

  • Luca Cattani

    (University of Bologna)

  • Francesca Gambarotto

    (University of Padova)

  • Giulio Pedrini

    (Kore University of Enna)

Abstract

We analyze the relationship between the use of Key Enabling Technologies (KETs) and the demand for occupations, tasks, and skills in the local labour market areas (LLMAs) of Emilia-Romagna, Italy. We merge three data sources, and we compute both the share of highly educated employees, or of employees accomplishing low- versus high-routine tasks, and three novel indicators measuring the complexity of occupations, tasks, and skills. Our panel estimates show that a larger share of KETs not only stimulates a higher demand for workers holding a tertiary education degree, or accomplishing less routinary tasks, but also a higher demand for a wider, and more exclusive, set of occupations, tasks, and skills. These results are also robust to unobserved heterogeneity and reverse causality.

Suggested Citation

  • Roberto Antonietti & Luca Cattani & Francesca Gambarotto & Giulio Pedrini, 2021. "Education, routine, and complexity-biased Knowledge Enabling Technologies: Evidence from Emilia-Romagna, Italy," Discussion Paper series in Regional Science & Economic Geography 2021-07, Gran Sasso Science Institute, Social Sciences, revised May 2021.
  • Handle: RePEc:ahy:wpaper:wp18
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    1. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    2. Nicholas Bloom & Mirko Draca & John Van Reenen, 2016. "Trade Induced Technical Change? The Impact of Chinese Imports on Innovation, IT and Productivity," Review of Economic Studies, Oxford University Press, vol. 83(1), pages 87-117.
    3. David Autor & Anna Salomons, 2018. "Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share," NBER Working Papers 24871, National Bureau of Economic Research, Inc.
    4. Cesar A. Hidalgo & Ricardo Hausmann, 2009. "The Building Blocks of Economic Complexity," Papers 0909.3890, arXiv.org.
    5. Rafael Boix & Vittorio Galletto, 2009. "Innovation and Industrial Districts: A First Approach to the Measurement and Determinants of the I-District Effect," Regional Studies, Taylor & Francis Journals, vol. 43(9), pages 1117-1133.
    6. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    7. Colin Caines & Florian Hoffmann & Gueorgui Kambourov, 2017. "Complex-Task Biased Technological Change and the Labor Market," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 25, pages 298-319, April.
    8. David H. Autor & David Dorn & Gordon H. Hanson, 2013. "The Geography of Trade and Technology Shocks in the United States," American Economic Review, American Economic Association, vol. 103(3), pages 220-225, May.
    9. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    10. Roberto Antonietti & Sandro Montresor, 2021. "Going beyond Relatedness: Regional Diversification Trajectories and Key Enabling Technologies (KETs) in Italian Regions," Economic Geography, Taylor & Francis Journals, vol. 97(2), pages 187-207, March.
    11. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    12. Rinaldo Evangelista & Valentina Meliciani & Antonio Vezzani, 2018. "Specialisation in key enabling technologies and regional growth in Europe," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 27(3), pages 273-289, April.
    13. Shintaro Yamaguchi, 2012. "Tasks and Heterogeneous Human Capital," Journal of Labor Economics, University of Chicago Press, vol. 30(1), pages 1-53.
    14. Jovanovic, Boyan & Rousseau, Peter L., 2005. "General Purpose Technologies," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 18, pages 1181-1224, Elsevier.
    15. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    16. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    17. Sandro Montresor & Francesco Quatraro, 2017. "Regional Branching and Key Enabling Technologies: Evidence from European Patent Data," Economic Geography, Taylor & Francis Journals, vol. 93(4), pages 367-396, August.
    18. Cirillo, Valeria & Rinaldini, Matteo & Staccioli, Jacopo & Virgillito, Maria Enrica, 2021. "Technology vs. workers: the case of Italy’s Industry 4.0 factories," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 166-183.
    19. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    20. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    21. Daron Acemoglu, 2003. "Patterns of Skill Premia," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 199-230.
    22. Davide Dottori, 2021. "Robots and employment: evidence from Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 739-795, July.
    23. Roberto Antonietti, 2007. "Opening the "Skill-Biased Technological Change" Black Box: A Look at the Microfoundations of the Technology-Skill Relationship," Economia politica, Società editrice il Mulino, issue 3, pages 451-476.
    24. Lipsey, Richard G. & Carlaw, Kenneth I. & Bekar, Clifford T., 2005. "Economic Transformations: General Purpose Technologies and Long-Term Economic Growth," OUP Catalogue, Oxford University Press, number 9780199290895, Decembrie.
    25. Teece, David J., 2018. "Profiting from innovation in the digital economy: Enabling technologies, standards, and licensing models in the wireless world," Research Policy, Elsevier, vol. 47(8), pages 1367-1387.
    26. Bresnahan, Timothy, 2010. "General Purpose Technologies," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 761-791, Elsevier.
    27. Culot, Giovanna & Nassimbeni, Guido & Orzes, Guido & Sartor, Marco, 2020. "Behind the definition of Industry 4.0: Analysis and open questions," International Journal of Production Economics, Elsevier, vol. 226(C).
    28. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    29. Semih AKÇOMAK & Suzanne KOK & Hugo ROJAS-ROMAGOSA, 2016. "Technology, offshoring and the task content of occupations in the United Kingdom," International Labour Review, International Labour Organization, vol. 155(2), pages 201-230, June.
    30. James Bessen, 2019. "Automation and jobs: when technology boosts employment," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 589-626.
    31. Bronwyn H. Hall & Nathan Rosenberg (ed.), 2010. "Handbook of the Economics of Innovation," Handbook of the Economics of Innovation, Elsevier, edition 1, volume 1, number 1.
    32. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    33. repec:bin:bpeajo:v:49:y:2019:i:2018-01:p:1-87 is not listed on IDEAS
    34. Andrews, Donald W. K. & Lu, Biao, 2001. "Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models," Journal of Econometrics, Elsevier, vol. 101(1), pages 123-164, March.
    35. Morgan R. Frank & David Autor & James E. Bessen & Erik Brynjolfsson & Manuel Cebrian & David J. Deming & Maryann Feldman & Matthew Groh & José Lobo & Esteban Moro & Dashun Wang & Hyejin Youn & Iyad Ra, 2019. "Toward understanding the impact of artificial intelligence on labor," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(14), pages 6531-6539, April.
    36. Vicente Donoso & V�ctor Mart�n & Asier Minondo, 2015. "Do Differences in the Exposure to Chinese Imports Lead to Differences in Local Labour Market Outcomes? An Analysis for Spanish Provinces," Regional Studies, Taylor & Francis Journals, vol. 49(10), pages 1746-1764, October.
    37. Ljubica Nedelkoska & Glenda Quintini, 2018. "Automation, skills use and training," OECD Social, Employment and Migration Working Papers 202, OECD Publishing.
    38. Sandro Montresor & Gianluca Orsatti & Francesco Quatraro, 2023. "Technological novelty and key enabling technologies: evidence from European regions," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(6), pages 851-872, August.
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    Cited by:

    1. Duygu Buyukyazici & Leonardo Mazzoni & Massimo Riccaboni & Francesco Serti, 2022. "Workplace Skills as Regional Capabilities: Relatedness, Complexity and Industrial Diversification of Regions," Papers in Evolutionary Economic Geography (PEEG) 2210, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2022.

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    More about this item

    Keywords

    key enabling technology; complexity; occupation; tasks; skills;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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