[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/sos/sosjrn/200211.html
   My bibliography  Save this article

Industry 4.0 and Transformation in Public Finance: An Assessment by Government Expenditures

Author

Listed:
  • Miraç Fatih İLGÜN
Abstract
The fourth industrial revolution (Industry 4.0) offers a great potential for the transformation of economies and societies. Governments are responsible not only for keeping pace with Industry 4.0 and its underlying technologies, but also for managing this transformation. The aim of this study is to evaluate the possible effects of this phenomenon on public finance in terms of decision making process in public policy and amount and composition of government expenditures. In the light of the assessments based on early stages of the industrial revolution and the distinctive features of the new era, it has been concluded that the phenomenon of Industry 4.0 will have a decreasing effect on the ratio of current expenditures in total government expenditures, an increase effect in the share of social and economic transfer expenditures, and the potential to change the composition of investment expenditures according to economic classification of government expenditures.

Suggested Citation

  • Miraç Fatih İLGÜN, 2020. "Industry 4.0 and Transformation in Public Finance: An Assessment by Government Expenditures," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(44).
  • Handle: RePEc:sos:sosjrn:200211
    as

    Download full text from publisher

    File URL: http://dergipark.gov.tr/download/article-file/1060188
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates," American Economic Review, American Economic Association, vol. 104(9), pages 2593-2632, September.
    3. Azzone, Giovanni, 2018. "Big data and public policies: Opportunities and challenges," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 116-120.
    4. Lawrence F. Katz & Robert A. Margo, 2014. "Technical Change and the Relative Demand for Skilled Labor: The United States in Historical Perspective," NBER Chapters, in: Human Capital in History: The American Record, pages 15-57, National Bureau of Economic Research, Inc.
    5. Kanbur, Ravi, 2017. "The Digital Revolution and Targeting Public Expenditure for Poverty Reduction," CEPR Discussion Papers 12089, C.E.P.R. Discussion Papers.
    6. Ronald C. Fisher, 1997. "Effects of state and local public services on economic development," New England Economic Review, Federal Reserve Bank of Boston, issue Mar, pages 53-82.
    7. Wang, Yichuan & Kung, LeeAnn & Byrd, Terry Anthony, 2018. "Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 3-13.
    8. 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.
    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. Enflo, Kerstin & Molinder, Jakob & Karlsson, Tobias, 2019. "More Power to the People: Electricity Adoption, Technological Change and Social Conflict," CEPR Discussion Papers 13986, C.E.P.R. Discussion Papers.
    2. Ben Vermeulen & Jan Kesselhut & Andreas Pyka & Pier Paolo Saviotti, 2018. "The Impact of Automation on Employment: Just the Usual Structural Change?," Sustainability, MDPI, vol. 10(5), pages 1-27, May.
    3. David Kunst, 2019. "Deskilling among Manufacturing Production Workers," Tinbergen Institute Discussion Papers 19-050/VI, Tinbergen Institute, revised 30 Dec 2020.
    4. Savona, María, 2020. "A “new normal” as a “new essential”? COVID-19, digital transformations and employment structures," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    5. 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).
    6. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "The complexity of the intangible digital economy: an agent-based model," Journal of Business Research, Elsevier, vol. 129(C), pages 527-540.
    7. Masayuki Morikawa, 2017. "Firms' Expectations About The Impact Of Ai And Robotics: Evidence From A Survey," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 1054-1063, April.
    8. Wu, Ziqi & Xiao, Yi & Zhang, Jian, 2022. "Labor mobility and corporate investment—Evidence from a Quasi-natural experiment in China," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 1110-1129.
    9. Graetz, Georg & Feng, Andy, 2014. "Rise of the Machines: The Effects of Labor-Saving Innovations on Jobs and Wages," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100401, Verein für Socialpolitik / German Economic Association.
    10. Fierro, Luca Eduardo & Caiani, Alessandro & Russo, Alberto, 2022. "Automation, Job Polarisation, and Structural Change," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 499-535.
    11. Zhang, Xinchun & Sun, Murong & Liu, Jianxu & Xu, Aijia, 2024. "The nexus between industrial robot and employment in China: The effects of technology substitution and technology creation," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    12. 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).
    13. 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.
    14. 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.
    15. Azio Barani, 2021. "Innovazione tecnologica e lavoro: automazione, occupazione e impatti socio-economici," QUADERNI DI ECONOMIA DEL LAVORO, FrancoAngeli Editore, vol. 0(114), pages 51-79.
    16. Schneider, Benjamin & Vipond, Hillary, 2023. "The past and future of work: how history can inform the age of automation," Economic History Working Papers 119282, London School of Economics and Political Science, Department of Economic History.
    17. Cortes, Guido Matias & Salvatori, Andrea, 2019. "Delving into the demand side: Changes in workplace specialization and job polarization," Labour Economics, Elsevier, vol. 57(C), pages 164-176.
    18. Van Overbeke, Toon, 2022. "(De)regulating automation: the rise of credit scoring and market-led banking in the UK and Germany," LSE Research Online Documents on Economics 114993, London School of Economics and Political Science, LSE Library.
    19. 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.
    20. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.

    More about this item

    JEL classification:

    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination

    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:sos:sosjrn:200211. 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: Aysen Sivrikaya (email available below). General contact details of provider: http://www.sosyoekonomijournal.org/home.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.