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Galicia Ante Reto De La Automatización Del Trabajo

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  • Juan Ramón GARCÍA

Abstract

A partir de las probabilidades de automatización de cada ocupación calculadas por Frey y Osborne (2017), se utilizan los microdatos de la muestra anual de la EPA entre 2011 y 2016 para determinar qué características personales y laborales condicionan el riesgo de que un trabajador en Galicia sea sustituido por una máquina. Los resultados de las estimaciones muestran que la probabilidad de automatización disminuye con el grado de responsabilidad, el nivel educativo, la disposición a participar en acciones formativas y la adopción de nuevas formas de trabajo, como el teletrabajo, y es comparativamente reducida para los ocupados en educación, sanidad, servicios sociales, TIC, energía y actividades artísticas o científico-técnicas. Las restantes características del trabajador y de la empresa juegan un papel secundario para explicar el riesgo de digitalización. Con el objetivo de atenuar las repercusiones negativas del progreso tecnológico sobre el empleo y lograr un crecimiento inclusivo, es imprescindible que los agentes económicos, tanto públicos como privados, gobiernen el cambio. Para lograrlo, es necesario actuar en dos ámbitos, estrechamente relacionados: la educación y el mercado de trabajo.

Suggested Citation

  • Juan Ramón GARCÍA, 2018. "Galicia Ante Reto De La Automatización Del Trabajo," Revista Galega de Economía, University of Santiago de Compostela. Faculty of Economics and Business., vol. 27(3), pages 17-28.
  • Handle: RePEc:sdo:regaec:v:27:y:2018:i:3_2
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    1. David Autor & David Dorn, 2009. "This Job Is "Getting Old": Measuring Changes in Job Opportunities Using Occupational Age Structure," American Economic Review, American Economic Association, vol. 99(2), pages 45-51, May.
    2. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    3. Autor, David H., 2013. "The "task approach" to labor markets : an overview," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 46(3), pages 185-199.
    4. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    5. 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.
    6. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    7. Gregory, Terry & Salomons, Anna & Zierahn, Ulrich, 2016. "Racing With or Against the Machine? Evidence from Europe," VfS Annual Conference 2016 (Augsburg): Demographic Change 145843, Verein für Socialpolitik / German Economic Association.
    8. Dauth, Wolfgang, 2014. "Job polarization on local labor markets," IAB-Discussion Paper 201418, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    9. 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.
    10. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    11. Arulampalam, Wiji, 2001. "Is Unemployment Really Scarring? Effects of Unemployment Experiences on Wages," Economic Journal, Royal Economic Society, vol. 111(475), pages 585-606, November.
    12. 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.
    13. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    14. Pajarinen, Mika & Rouvinen, Petri, 2014. "Computerization Threatens One Third of Finnish Employment," ETLA Brief 22, The Research Institute of the Finnish Economy.
    15. Joel Mokyr & Chris Vickers & Nicolas L. Ziebarth, 2015. "The History of Technological Anxiety and the Future of Economic Growth: Is This Time Different?," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 31-50, Summer.
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    More about this item

    Keywords

    cambio tecnológico; automatización; educación; empleo; políticas públicas;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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