IDEAS home Printed from https://ideas.repec.org/a/hig/fsight/v14y2020i1p29-47.html
   My bibliography  Save this article

Random Interaction Effect of Digital Transformation on General Price Level and Economic Growth

Author

Listed:
  • Byung Gwun Choy

    (Seoul National University (Republic of Korea))

Abstract

The paper attempts to evaluate the impact of digital transformation on productivity using a multi-level structure model of a random effect based on the Bayesian approach to cross section data. Digital transformation significantly raised general price levels in Russia and had consistently significant positive effects upon economic growth through the random interaction effect. Therefore, in Russia in 2018, digital transformation played a role as a driver of technological progress that prompted economic growth rather than economic stability.

Suggested Citation

  • Byung Gwun Choy, 2020. "Random Interaction Effect of Digital Transformation on General Price Level and Economic Growth," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 14(1), pages 29-47.
  • Handle: RePEc:hig:fsight:v:14:y:2020:i:1:p:29-47
    as

    Download full text from publisher

    File URL: https://foresight-journal.hse.ru/data/2020/04/21/1560024590/2-Choy-29-47-final.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Laurence Ball & David Romer, 1990. "Real Rigidities and the Non-Neutrality of Money," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(2), pages 183-203.
    2. Avi Goldfarb & Shane M. Greenstein & Catherine E. Tucker, 2015. "Economic Analysis of the Digital Economy," NBER Books, National Bureau of Economic Research, Inc, number gree13-1.
    3. Karl Jöreskog, 1990. "New developments in LISREL: analysis of ordinal variables using polychoric correlations and weighted least squares," Quality & Quantity: International Journal of Methodology, Springer, vol. 24(4), pages 387-404, November.
    4. Jack E. Triplett, 1999. "The Solow productivity paradox: what do computers do to productivity?," Canadian Journal of Economics, Canadian Economics Association, vol. 32(2), pages 309-334, April.
    5. Akerlof, George A, 1984. "Gift Exchange and Efficiency-Wage Theory: Four Views," American Economic Review, American Economic Association, vol. 74(2), pages 79-83, May.
    6. Caballe, Jordi & Santos, Manuel S, 1993. "On Endogenous Growth with Physical and Human Capital," Journal of Political Economy, University of Chicago Press, vol. 101(6), pages 1042-1067, December.
    7. Charles I. Jones, 1995. "Time Series Tests of Endogenous Growth Models," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 495-525.
    8. Lucas, Robert Jr., 1972. "Expectations and the neutrality of money," Journal of Economic Theory, Elsevier, vol. 4(2), pages 103-124, April.
    9. Peter Howitt, 1999. "Steady Endogenous Growth with Population and R & D Inputs Growing," Journal of Political Economy, University of Chicago Press, vol. 107(4), pages 715-730, August.
    10. Moulin, H., 1986. "Characterizations of the pivotal mechanism," Journal of Public Economics, Elsevier, vol. 31(1), pages 53-78, October.
    11. Jonathan M.V. Davis & Jonathan Guryan & Kelly Hallberg & Jens Ludwig, 2017. "The Economics of Scale-Up," NBER Working Papers 23925, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wanyi Chen & Liguang Zhang & Pinyan Jiang & Fanli Meng & Qianyi Sun, 2022. "Can digital transformation improve the information environment of the capital market? Evidence from the analysts' prediction behaviour," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(2), pages 2543-2578, June.
    2. Vilena A. Yakimova & Svetlana V. Pankova, 2023. "The Influence of Digital Environment Factors on the Development of Entrepreneurial Ecosystems in Russian Regions," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 22(3), pages 600-629.
    3. Yakimova, V. & Khmura, S., 2023. "Measuring digital economic gaps in the business sector of the regional economy," Journal of the New Economic Association, New Economic Association, vol. 61(4), pages 70-92.

    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. Campbell, Carl III, 1995. "A cross-industry time-series analysis of quits," The Quarterly Review of Economics and Finance, Elsevier, vol. 35(1), pages 53-72.
    2. Pozzolo, Alberto Franco, 2004. "Endogenous Growth in Open Economies - A Survey of Major Results," Economics & Statistics Discussion Papers esdp04020, University of Molise, Department of Economics.
    3. Candian, Giacomo, 2019. "Information frictions and real exchange rate dynamics," Journal of International Economics, Elsevier, vol. 116(C), pages 189-205.
    4. Turnovsky, S., 2000. "Growth in an Open Economy: some Recent Developments," Papers 5, Warwick - Development Economics Research Centre.
    5. University of California & Giacomo Rondina, 2008. "Incomplete Information and Informative Pricing: Theory and Application," 2008 Meeting Papers 981, Society for Economic Dynamics.
    6. Gregory Casey, 2024. "Energy Efficiency and Directed Technical Change: Implications for Climate Change Mitigation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(1), pages 192-228.
    7. Klaus Prettner, 2012. "Public education, technological change and economic prosperity: semi-endogenous growth revisited," PGDA Working Papers 9012, Program on the Global Demography of Aging.
    8. Hélène Latzer & Kiminori Matsuyama & Mathieu Parenti, 2018. "The market Size Effect in Endogenous Growth Reconsidered," Documents de travail du Centre d'Economie de la Sorbonne 18032, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    9. Robert J. Barro, 1989. "New Classicals and Keynesians, or the Good Guys and the Bad Guys," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 125(III), pages 263-273, September.
    10. Akhand Akhtar Hossain, 2009. "Central Banking and Monetary Policy in the Asia-Pacific," Books, Edward Elgar Publishing, number 12777.
    11. Bhattacharyya, Chandril & Gupta, Manash Ranjan, 2020. "Union, Efficiency of Labour and Endogenous Growth," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 61(2), pages 170-202, December.
    12. Frederic Tournemaine & Pongsak Luangaram, 2012. "R&D, human capital, fertility, and growth," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(3), pages 923-953, July.
    13. Hansen, Per Svejstrup, 1996. "Permanent effects of monetary policy in a dynamic menu cost model," Economics Letters, Elsevier, vol. 52(1), pages 61-66, July.
    14. Ben Fine, 1998. "Endogenous Growth Theory: A Critical Assessment," Working Papers 80, Department of Economics, SOAS University of London, UK.
    15. Asadul Islam & Faridul Islam & Chau Nguyen, 2017. "Skilled Immigration, Innovation, and the Wages of Native-Born Americans," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 56(3), pages 459-488, July.
    16. Ieva Rubene & Paolo Guarda, 2004. "The new Keynesian Phillips curve: empirical results for Luxembourg," BCL working papers 11, Central Bank of Luxembourg.
    17. Jakob Madsen & James Ang & Rajabrata Banerjee, 2010. "Four centuries of British economic growth: the roles of technology and population," Journal of Economic Growth, Springer, vol. 15(4), pages 263-290, December.
    18. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-72.
    19. Sener, Fuat, 2008. "R&D policies, endogenous growth and scale effects," Journal of Economic Dynamics and Control, Elsevier, vol. 32(12), pages 3895-3916, December.
    20. David Staines, 2023. "Stochastic Equilibrium the Lucas Critique and Keynesian Economics," Papers 2312.16214, arXiv.org, revised Jun 2024.

    More about this item

    Keywords

    digital transformation; economic growth; technological progress; effects estimation; random interactions;
    All these keywords.

    JEL classification:

    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    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:hig:fsight:v:14:y:2020:i:1:p:29-47. 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: Nataliya Gavrilicheva or Mikhail Salazkin (email available below). General contact details of provider: https://edirc.repec.org/data/hsecoru.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.