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Evaluating the Impact of Emerging Technologies on the ECB's Mandate: Can the European Central Bank Use Distributed Ledger Technology and Digital Euro to Advance Financial Inclusion in Europe?

Author

Listed:
  • Cristina Sbirneciu

    (“Valahia” University of Târgovişte, Romania)

  • Nicoleta Valentina Florea

    (“Valahia” University of Târgovişte, Romania)

Abstract

There is a noted rise in research examining the influence of digital transformation—specifically the application of Distributed Ledger Technology (DLT) on the progression of the financial sector. This paper presents conclusions from a study on participants' awareness, understanding, and intentions regarding cryptocurrencies and the Digital Euro. Participants have a relatively high awareness of digital assets and Digital Euro, but better understanding is needed through effective communication and educational initiatives. While recognizing cryptocurrencies as valuable investments, participants are skeptical about their use for payments due to concerns about illicit activities. Regulatory frameworks are deemed important to address these concerns. Participants support the introduction of the Digital Euro and intend to use it for various purposes, suggesting potential demand. Desired characteristics include privacy, ease of use, and cross-border usability. These findings inform the strategies for introducing and accepting the Digital Euro, promoting financial inclusion, and enhancing accessibility in Europe's digital economy.

Suggested Citation

  • Cristina Sbirneciu & Nicoleta Valentina Florea, 2023. "Evaluating the Impact of Emerging Technologies on the ECB's Mandate: Can the European Central Bank Use Distributed Ledger Technology and Digital Euro to Advance Financial Inclusion in Europe?," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 1059-1070, August.
    • Handle: RePEc:ovi:oviste:v:xxiii:y:2023:i:1:p:1059-1070
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    References listed on IDEAS

    as
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    4. Ni, Xinwen & Härdle, Wolfgang Karl & Xie, Taojun, 2020. "A Machine Learning Based Regulatory Risk Index for Cryptocurrencies," IRTG 1792 Discussion Papers 2020-013, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
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    More about this item

    Keywords

    financial inclusion; European Central Bank; Distributed Ledger Technology; Digital Euro; emerging technologies;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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