IDEAS home Printed from https://ideas.repec.org/h/era/chaptr/2022-new-normal-new-technologies-new-financing-7.html
   My bibliography  Save this book chapter

Digital Transformation:‘Development for All’?

In: New Normal, New Technologies, New Financing

Author

Listed:
  • Lili Yan Ing

    (Economic Research Institute for ASEAN and East Asia (ERIA))

  • Gene Grossman
  • David Christian

    (Economic Research Institute for ASEAN and East Asia (ERIA))

Abstract

Technological advances over the last two millennia have generated remarkable improvements in the quality of life. But the gains that come with new technologies are rarely shared by all. Notably, we have witnessed in recent years rising income and wealth inequality in most countries, with greater shares accruing to capital owners and highly skilled workers often at the expense of less skilled workers. By 2020, the richest 1% of the world’s population owned almost half of global wealth. In the last 2 years alone, the ten highest earners (eight of whom are technological titans) saw their personal incomes more than double, while the poorest 99% of the global population suffered a decline in their collective income during this period (Hardoon, Ayele, and FuentesNieva, 2016; Ahmed et al., 2022). Might there be a connection between technological progress and income and wealth inequality?

Suggested Citation

  • Lili Yan Ing & Gene Grossman & David Christian, 2022. "Digital Transformation:‘Development for All’?," Chapters, in: Lili Yan Ing & Dani Rodrik (ed.), New Normal, New Technologies, New Financing, chapter 7, pages 75-88, Economic Research Institute for ASEAN and East Asia (ERIA).
  • Handle: RePEc:era:chaptr:2022-new-normal-new-technologies-new-financing-7
    as

    Download full text from publisher

    File URL: https://www.eria.org/uploads/media/Books/2022-G20-New-Normal-New-Technology-New-Financing/11_Ch.7-Digital-Transformation-new2.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mr. Anton Korinek & Mr. Martin Schindler & Joseph Stiglitz, 2021. "Technological Progress, Artificial Intelligence, and Inclusive Growth," IMF Working Papers 2021/166, International Monetary Fund.
    2. Ufuk Akcigit & Sina T. Ates, 2021. "Ten Facts on Declining Business Dynamism and Lessons from Endogenous Growth Theory," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 257-298, January.
    3. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    4. Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019. "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 31-50, Spring.
    5. Artuc, Erhan & Christiaensen, Luc & Winkler, Hernan, 2019. "Does Automatization in Rich Countries hurt Developing Ones? Evidence from the US and Mexico," Jobs Group Papers, Notes, and Guides 30834024, The World Bank.
    6. Matt Taddy, 2018. "The Technological Elements of Artificial Intelligence," NBER Working Papers 24301, National Bureau of Economic Research, Inc.
    7. Matt Taddy, 2018. "The Technological Elements of Artificial Intelligence," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 61-87, National Bureau of Economic Research, Inc.
    8. Cavenaile, Laurent, 2021. "Offshoring, computerization, labor market polarization and top income inequality," Journal of Macroeconomics, Elsevier, vol. 69(C).
    9. Pajarinen, Mika & Rouvinen, Petri, 2014. "Computerization Threatens One Third of Finnish Employment," ETLA Brief 22, The Research Institute of the Finnish Economy.
    10. Dan Andrews & Chiara Criscuolo & Peter N. Gal, 2016. "The Best versus the Rest: The Global Productivity Slowdown, Divergence across Firms and the Role of Public Policy," OECD Productivity Working Papers 5, OECD Publishing.
    11. 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.
    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. Aránzazu Guillán Montero & David Le Blanc, 2019. "Lessons for Today from Past Periods of Rapid Technological Change," Working Papers 158, United Nations, Department of Economics and Social Affairs.
    2. Emilio Colombo & Luca Michele Portoghese & Patrizio Tirelli, 2025. "Broadband Shocks, TFP Growth and Polarisation of European Firms," DISEIS - Quaderni del Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo dis2504, Università Cattolica del Sacro Cuore, Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo (DISEIS).
    3. Berlingieri, Giuseppe & Blanchenay, Patrick & Criscuolo, Chiara, 2024. "The great divergence(s)," Research Policy, Elsevier, vol. 53(3).
    4. Herbert Dawid & Jasper Hepp, 2022. "Distributional effects of technological regime changes: hysteresis, concentration and inequality dynamics," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 137-167, April.
    5. Patrick Mellacher, 2021. "Growth, Inequality and Declining Business Dynamism in a Unified Schumpeter Mark I + II Model," Papers 2111.09407, arXiv.org, revised Nov 2023.
    6. Fabio Montobbio & Jacopo Staccioli & Maria Enrica Virgillito & Marco Vivarelli, 2024. "The empirics of technology, employment and occupations: Lessons learned and challenges ahead," Journal of Economic Surveys, Wiley Blackwell, vol. 38(5), pages 1622-1655, December.
    7. Giovanni DOSI & Maria Enrica VIRGILLITO, 2019. "Whither the evolution of the contemporary social fabric? New technologies and old socio‐economic trends," International Labour Review, International Labour Organization, vol. 158(4), pages 593-625, December.
    8. Benjamin David, 2015. "Computer technology and probable job destructions in Japan: an evaluation," EconomiX Working Papers 2015-28, University of Paris Nanterre, EconomiX.
    9. Cali,Massimiliano & Presidente,Giorgio, 2021. "Automation and Manufacturing Performance in a Developing Country," Policy Research Working Paper Series 9653, The World Bank.
    10. Antonio Martins-Neto & Nanditha Mathew & Pierre Mohnen & Tania Treibich, 2024. "Is There Job Polarization in Developing Economies? A Review and Outlook," The World Bank Research Observer, World Bank, vol. 39(2), pages 259-288.
    11. Hémous, David & Dechezleprêtre, Antoine & Olsen, Morten & Zanella, carlo, 2019. "Automating Labor: Evidence from Firm-level Patent Data," CEPR Discussion Papers 14249, C.E.P.R. Discussion Papers.
    12. Gozde Corekcioglu & Marco Francesconi & Astrid Kunze, 2025. "Parental Leave from the Firm’s Perspective," CESifo Working Paper Series 11868, CESifo.
    13. 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).
    14. Uddén Sonnegård, Eva, 2021. "Ratio Working Paper No. 350: A quickly transforming labour market," Ratio Working Papers 350, The Ratio Institute.
    15. Tatsuru Kikuchi, 2024. "Impact Evaluation on the European Privacy Laws governing generative-AI models -- Evidence in Relation between Internet Censorship and the Ban of ChatGPT in Italy," Papers 2407.06495, arXiv.org.
    16. Lorenz, Hanno & Stephany, Fabian, 2018. "Back to the future: Changing job profiles in the digital age," Working Papers 13, Agenda Austria.
    17. Xie, Mengmeng & Ding, Lin & Xia, Yan & Guo, Jianfeng & Pan, Jiaofeng & Wang, Huijuan, 2021. "Does artificial intelligence affect the pattern of skill demand? Evidence from Chinese manufacturing firms," Economic Modelling, Elsevier, vol. 96(C), pages 295-309.
    18. Kreitmeir, David & Raschky, Paul Anton, 2023. "The Unintended Consequences of Censoring Digital Technology - Evidence from Italy's ChatGPT Ban," SocArXiv v3cgs, Center for Open Science.
    19. Dandan Qiao & Huaxia Rui & Qian Xiong, 2023. "AI and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform," Papers 2312.04180, arXiv.org, revised Aug 2024.
    20. 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.

    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:era:chaptr:2022-new-normal-new-technologies-new-financing-7. 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: Ranti Amelia The email address of this maintainer does not seem to be valid anymore. Please ask Ranti Amelia to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/eriadid.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.