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Regulatory Policy for Digital Economy- Holistic Institutional Framework

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  • Daniil P. Frolov
  • Anna V. Lavrentyeva

Abstract

The article analyzes the nature and specificity of digital economy as an object of regulation from the standpoint of institutional methodology. It reveals the logic of digital economy evolution and its internal contradictions. The authors hold comparative analysis of approaches to defining the essence and forms, functions and structure of digital economy. The categorical apparatus of the theory of digital economy is specified and supplemented. We proposed a conceptual model of a multi-level transition of the economy to a digital development scenario. The conceptual recommendations on the development of the digital economy regulation system are presented. We propose to distinguish between digital and digitized sectors, which cover the industries directly and indirectly related to digital technologies and products.

Suggested Citation

  • Daniil P. Frolov & Anna V. Lavrentyeva, 2019. "Regulatory Policy for Digital Economy- Holistic Institutional Framework," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 15(4), pages 33-44.
    • Handle: RePEc:mje:mjejnl:v:15:y:2019:i:4:33-44
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    References listed on IDEAS

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    1. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2015. "Systemic Risk and Stability in Financial Networks," American Economic Review, American Economic Association, vol. 105(2), pages 564-608, February.
    2. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    3. Peter Gomber & Jascha-Alexander Koch & Michael Siering, 2017. "Digital Finance and FinTech: current research and future research directions," Journal of Business Economics, Springer, vol. 87(5), pages 537-580, July.
    4. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    5. Jacob Kleinow & Andreas Horsch & Mario Garcia-Molina, 2017. "Factors driving systemic risk of banks in Latin America," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(2), pages 211-234, April.
    6. Allen John Scott, 2014. "Beyond the Creative City: Cognitive--Cultural Capitalism and the New Urbanism," Regional Studies, Taylor & Francis Journals, vol. 48(4), pages 565-578, April.
    7. Kenneth Carlaw & Les Oxley & Paul Walker & David Thorns & Michael Nuth, 2006. "Beyond The Hype: Intellectual Property And The Knowledge Society/Knowledge Economy," Journal of Economic Surveys, Wiley Blackwell, vol. 20(4), pages 633-690, September.
    8. Daron Acemoglu & Pascual Restrepo, 2016. "The Race Between Machine and Man: Implications of Technology for Growth, Factor Shares and Employment," NBER Working Papers 22252, National Bureau of Economic Research, Inc.
    9. D. Frolov., 2011. "Theory of Crises after Crisis: Technologies versus Institutions," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 7.
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