IDEAS home Printed from https://ideas.repec.org/a/kap/jeczfn/v123y2018i2d10.1007_s00712-017-0572-2.html
   My bibliography  Save this article

Caselli, Francesco: Technology differences over space and time

Author

Listed:
  • Mariacristina Piva

    (Università Cattolica del Sacro Cuore)

Abstract

No abstract is available for this item.

Suggested Citation

  • Mariacristina Piva, 2018. "Caselli, Francesco: Technology differences over space and time," Journal of Economics, Springer, vol. 123(2), pages 187-189, March.
    • Handle: RePEc:kap:jeczfn:v:123:y:2018:i:2:d:10.1007_s00712-017-0572-2
    DOI: 10.1007/s00712-017-0572-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00712-017-0572-2
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1007/s00712-017-0572-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Piva, Mariacristina & Santarelli, Enrico & Vivarelli, Marco, 2005. "The skill bias effect of technological and organisational change: Evidence and policy implications," Research Policy, Elsevier, vol. 34(2), pages 141-157, March.
    2. 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.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Van Roy, Vincent & Vértesy, Dániel & Vivarelli, Marco, 2018. "Technology and employment: Mass unemployment or job creation? Empirical evidence from European patenting firms," Research Policy, Elsevier, vol. 47(9), pages 1762-1776.
    2. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    3. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    4. Alex Chernoff & Casey Warman, 2023. "COVID-19 and implications for automation," Applied Economics, Taylor & Francis Journals, vol. 55(17), pages 1939-1957, April.
    5. Armanda Cetrulo & Dario Guarascio & Maria Enrica Virgillito, 2020. "Anatomy of the Italian occupational structure: concentrated power and distributed knowledge [How Europe’s economies learn: a comparison of work organization and innovation mode for the EU-15]," Industrial and Corporate Change, Oxford University Press, vol. 29(6), pages 1345-1379.
    6. Rita Strohmaier & Marlies Schuetz & Simone Vannuccini, 2019. "A systemic perspective on socioeconomic transformation in the digital age," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(3), pages 361-378, September.
    7. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    8. Gries, Thomas & Naudé, Wim, 2022. "Modelling artificial intelligence in economics," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 56, pages 1-12.
    9. Beier, Grischa & Matthess, Marcel & Shuttleworth, Luke & Guan, Ting & de Oliveira Pereira Grudzien, David Iubel & Xue, Bing & Pinheiro de Lima, Edson & Chen, Ling, 2022. "Implications of Industry 4.0 on industrial employment: A comparative survey from Brazilian, Chinese, and German practitioners," Technology in Society, Elsevier, vol. 70(C).
    10. Miriam A. CHERRY, 2020. "Back to the future: A continuity of dialogue on work and technology at the ILO," International Labour Review, International Labour Organization, vol. 159(1), pages 1-23, March.
    11. Zhihui Dai & Yue Niu & Hongru Zhang & Xiaodi Niu, 2022. "Impact of the Transforming and Upgrading of China’s Labor-Intensive Manufacturing Industry on the Labor Market," Sustainability, MDPI, vol. 14(21), pages 1-25, October.
    12. Warning, Anja & Weber, Enzo, 2018. "Digitalisation, hiring and personnel policy: evidence from a representative business survey," IAB-Discussion Paper 201810, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    13. Manav Raj & Robert Seamans, 2018. "Artificial Intelligence, Labor, Productivity, and the Need for Firm-Level Data," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 553-565, National Bureau of Economic Research, Inc.
    14. Carlos Bianchi & Hugo Laguna, 2020. "Firm’s innovation strategies and employment: new evidence from Uruguay," Documentos de Trabajo (working papers) 20-06, Instituto de Economía - IECON.
    15. Antonio ALOISI & Valerio DE STEFANO, 2020. "Regulation and the future of work: The employment relationship as an innovation facilitator," International Labour Review, International Labour Organization, vol. 159(1), pages 47-69, March.
    16. Morikawa, Masayuki, 2017. "Who Are Afraid of Losing Their Jobs to Artificial Intelligence and Robots? Evidence from a Survey," GLO Discussion Paper Series 71, Global Labor Organization (GLO).
    17. Songul Tolan & Annarosa Pesole & Fernando Martinez-Plumed & Enrique Fernandez-Macias & José Hernandez-Orallo & Emilia Gomez, 2020. "Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks," JRC Working Papers on Labour, Education and Technology 2020-02, Joint Research Centre.
    18. Lingmont, Derek N.J. & Alexiou, Andreas, 2020. "The contingent effect of job automating technology awareness on perceived job insecurity: Exploring the moderating role of organizational culture," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    19. Usabiaga, Carlos & Núñez, Fernando & Arendt, Lukasz & Gałecka-Burdziak, Ewa & Pater, Robert, 2022. "Skill requirements and labour polarisation: An association analysis based on Polish online job offers," Economic Modelling, Elsevier, vol. 115(C).
    20. Cebreros Alfonso & Heffner-Rodríguez Aldo & Livas René & Puggioni Daniela, 2020. "Automation Technologies and Employment at Risk: The Case of Mexico," Working Papers 2020-04, Banco de México.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:jeczfn:v:123:y:2018:i:2:d:10.1007_s00712-017-0572-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.