IDEAS home Printed from https://ideas.repec.org/p/ahg/wpaper/wp2020-6.html
   My bibliography  Save this paper

The Impact of Digitalization Policies. Evidence from Italy�s Hyper-depreciation of Industry 4.0 Investments

Author

Listed:
  • Barbara Bratta

    (Ministry of Economy and Finance of Italy)

  • Livio Romano

    (Confindustria)

  • Paolo Acciari

    (Ministry of Economy and Finance of Italy)

  • Francesca Mazzolari

    (Confindustria)

Abstract

This paper investigates the role played by hyper-depreciation of tangible assets, a fiscal incentive introduced for the first time by the Italian Government in 2017, in sustaining private investments in advanced digital technologies, and, indirectly, in affecting firms� labor demand. By making use of a unique firm-level dataset that links administrative records on tax returns and job flows with information from company balance-sheets, the paper addresses the following questions: what was the take-up of the fiscal incentive in its first year of implementation? What are the characteristics of recipient firms? What is the impact of subsidized investments on firms� hirings and separations? Overall, the results of the analysis suggest that hyper-depreciation has been so far an effective means to support the digital technology trasformation of the Italian production system and that such transformation has had a positive net effect

Suggested Citation

  • Barbara Bratta & Livio Romano & Paolo Acciari & Francesca Mazzolari, 2020. "The Impact of Digitalization Policies. Evidence from Italy�s Hyper-depreciation of Industry 4.0 Investments," Working Papers wp2020-6, Ministry of Economy and Finance, Department of Finance.
    • Handle: RePEc:ahg:wpaper:wp2020-6
    as

    Download full text from publisher

    File URL: https://www.finanze.gov.it/export/sites/finanze/.galleries/Documenti/Varie/dfwp6-1_ultimo.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Harrison, Rupert & Jaumandreu, Jordi & Mairesse, Jacques & Peters, Bettina, 2014. "Does innovation stimulate employment? A firm-level analysis using comparable micro-data from four European countries," International Journal of Industrial Organization, Elsevier, vol. 35(C), pages 29-43.
    2. Lachenmaier, Stefan & Rottmann, Horst, 2011. "Effects of innovation on employment: A dynamic panel analysis," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 210-220, March.
    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.
    4. Jerry Hausman, 2001. "Mismeasured Variables in Econometric Analysis: Problems from the Right and Problems from the Left," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 57-67, Fall.
    5. 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.
    6. 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.
    7. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    8. D’Este, Pablo & Iammarino, Simona & Savona, Maria & von Tunzelmann, Nick, 2012. "What hampers innovation? Revealed barriers versus deterring barriers," Research Policy, Elsevier, vol. 41(2), pages 482-488.
    9. Mr. Adrian Peralta Alva & Agustin Roitman, 2018. "Technology and the Future of Work," IMF Working Papers 2018/207, International Monetary Fund.
    10. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    11. Thomas Neubig & Fernando Galindo-Rueda & Silvia Appelt & Chiara Criscuolo & Matej Bajgar, 2016. "Fiscal incentives for R&D and innovation in a diverse world," OECD Taxation Working Papers 27, OECD Publishing.
    12. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    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. Peng, Fei & Anwar, Sajid & Kang, Lili, 2017. "New technology and old institutions: An empirical analysis of the skill-biased demand for older workers in Europe," Economic Modelling, Elsevier, vol. 64(C), pages 1-19.
    2. Thomsen, Stephan L, 2018. "Die Rolle der Computerisierung und Digitalisierung für Beschäftigung und Einkommen," Hannover Economic Papers (HEP) dp-645, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    3. Du Yuhong & Wei Xiahai, 2020. "Task content routinisation, technological change and labour turnover: Evidence from China," The Economic and Labour Relations Review, , vol. 31(3), pages 324-346, September.
    4. 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.
    5. Cirillo, Valeria & Evangelista, Rinaldo & Guarascio, Dario & Sostero, Matteo, 2021. "Digitalization, routineness and employment: An exploration on Italian task-based data," Research Policy, Elsevier, vol. 50(7).
    6. 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.
    7. Nicola Cassandro & Marco Centra & Dario Guarascio & Piero Esposito, 2021. "What drives employment–unemployment transitions? Evidence from Italian task-based data," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(3), pages 1109-1147, October.
    8. Dachs, Bernhard, 2017. "The impact of new technologies on the labour market and the social economy," MPRA Paper 90519, University Library of Munich, Germany.
    9. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    10. Gunther Tichy, 2016. "Geht der Arbeitsgesellschaft die Arbeit aus?," WIFO Monatsberichte (monthly reports), WIFO, vol. 89(12), pages 853-871, December.
    11. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2016. "ELS issues in robotics and steps to consider them. Part 1: Robotics and employment. Consequences of robotics and technological change for the structure and level of employment," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 146501.
    12. Maarten Goos & Melanie Arntz & Ulrich Zierahn & Terry Gregory & Stephanie Carretero Gomez & Ignacio Gonzalez Vazquez & Koen Jonkers, 2019. "The Impact of Technological Innovation on the Future of Work," JRC Working Papers on Labour, Education and Technology 2019-03, Joint Research Centre.
    13. Castro Silva, Hugo & Lima, Francisco, 2017. "Technology, employment and skills: A look into job duration," Research Policy, Elsevier, vol. 46(8), pages 1519-1530.
    14. Rita K. Almeida & Ana M. Fernandes & Mariana Viollaz, 2017. "Does the Adoption of Complex Software Impact Employment Composition and the Skill Content of Occupations? Evidence from Chilean Firms," CEDLAS, Working Papers 0214, CEDLAS, Universidad Nacional de La Plata.
    15. Caitlin Allen Whitehead & Haroon Bhorat & Robert Hill & Tim Köhler & François Steenkamp, 2021. "The Potential Employment Implications of the Fourth Industrial Revolution Technologies: The Case of the Manufacturing, Engineering and Related Services Sector," Working Papers 202106, University of Cape Town, Development Policy Research Unit.
    16. Huajie Jiang & Qiguo Gong, 2022. "Does Skill Polarization Affect Wage Polarization? U.S. Evidence 2009–2021," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
    17. Falck, Oliver & Heimisch-Roecker, Alexandra & Wiederhold, Simon, 2021. "Returns to ICT skills," Research Policy, Elsevier, vol. 50(7).
    18. Zilian, Laura S. & Zilian, Stella S. & Jäger, Georg, 2021. "Labour market polarisation revisited: evidence from Austrian vacancy data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55, pages 1-7.
    19. 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.
    20. Maya Eden & Paul Gaggl, 2018. "On the Welfare Implications of Automation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 29, pages 15-43, July.

    More about this item

    Keywords

    digitalization; innovation policy; labor demand; skills;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O25 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Industrial Policy
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ahg:wpaper:wp2020-6. 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: Felicia Calco' (email available below). General contact details of provider: https://edirc.repec.org/data/degraus.html .

    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.