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Anatomy of the Italian occupational structure: concentrated power and distributed knowledge

Author

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  • Cetrulo, A.
  • Guarascio, D.
  • Virgillito, M. E.

Abstract

Which type of work do Italians perform? In this contribution we aim at detecting the anatomy of the Italian occupational structure by taking stock of a micro-level dataset registering the task content, the execution of procedures, the knowledge embedded in the work itself, called ICP (Indagine Campionaria sulle Professioni), the latter being comparable to the U.S. O*NET dataset. We perform an extensive empirical investigation moving from the micro to the macro level of aggregation. Our results show that the Italian occupational structure is strongly hierarchical, with the locus of power distinct by the locus of knowledge generation. It is also weak in terms of collaborative and worker involvement practices, and possibility to be creative. Our analysis allows to pinpoint the role exerted by hierarchical structures, decision making autonomy, and knowledge as the most relevant attributes characterizing the division of labour.

Suggested Citation

  • Cetrulo, A. & Guarascio, D. & Virgillito, M. E., 2019. "Anatomy of the Italian occupational structure: concentrated power and distributed knowledge," GLO Discussion Paper Series 418, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:418
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    Cited by:

    1. Dario Guarascio & Roman Stoellinger, 2022. "Comparative Advantages in the Digital Era: A Heckscher-Ohlin-Vanek Approach," Working Papers in Public Economics 223, University of Rome La Sapienza, Department of Economics and Law.
    2. Armanda Cetrulo & Dario Guarascio & Maria Enrica Virgillito, 2020. "The Privilege of Working From Home at the Time of Social Distancing," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 55(3), pages 142-147, May.
    3. A. Cetrulo & D. Guarascio & M. E. Virgillito, 2022. "Working from home and the explosion of enduring divides: income, employment and safety risks," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(2), pages 345-402, July.
    4. Valeria Cirillo & Matteo Rinaldini & Jacopo Staccioli & Maria Enrica Virgillito, 2020. "Trade unions' responses to Industry 4.0 amid corporatism and resistance," LEM Papers Series 2020/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Marta Fana & CIRILLO Valeria & GUARASCIO Dario & TUBIANA Matteo, 2020. "A Comparative national tasks database," JRC Working Papers on Labour, Education and Technology 2020-13, Joint Research Centre (Seville site).
    6. Jacopo Staccioli & Maria Enrica Virgillito, 2020. "The present, past, and future of labor-saving technologies," LEM Papers Series 2020/37, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Marta Fana & Davide Villani & Martina Bisello, 2021. "Mind the task: evidence on persistent gender gaps at the workplace," JRC Working Papers on Labour, Education and Technology 2021-03, Joint Research Centre (Seville site).
    8. Matteo Sostero & Santo Milasi & John Hurley & Enrique Fernandez-Macias & Martina Bisello, 2020. "Teleworkability and the COVID-19 crisis: a new digital divide?," JRC Working Papers on Labour, Education and Technology 2020-05, Joint Research Centre (Seville site).
    9. Luca Bonacini & Giovanni Gallo & Sergio Scicchitano, 2021. "Working from home and income inequality: risks of a ‘new normal’ with COVID-19," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 303-360, January.

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    More about this item

    Keywords

    Occupational structure; power; knowledge; factor analysis;
    All these keywords.

    JEL classification:

    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • D2 - Microeconomics - - Production and Organizations
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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