Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)

<Previous Article In Volume
Next Article In Volume>

Research on Influencing Factors of Intention to Use E-CNY

Empirical Analysis Based on UTAUT Model

Authors
Xiaoling Song1, Rui Wang1, *
1School of Business, Beijing Language and Culture University, Beijing, 100083, China
*Corresponding author. Email: 308580146@qq.com
Corresponding Author
Rui Wang
Available Online 20 December 2022.
DOI
10.2991/978-94-6463-030-5_26How to use a DOI?
Keywords
E-CNY; UTAUT Model; Structural Equation Model; Financial Education
Abstract

Central bank digital currency (CBDC) is a digital form of sovereign currency issued by the central bank of a country based on national credit. The e-CNY pilot scene of the Winter Olympics once again demonstrated China’s leading position in the field of CBDC, but the promotion of e-CNY still faces many obstacles. From the perspective of the users’ side, based on the UTAUT model, combined with the characteristics and related theories of digital currencies, this study constructs a structural equation model (SEM) of factors influencing the intention to use e-CNY, collects data through questionnaires, and uses AMOS26.0 to conduct empirical test. The results show that performance expectancy, effort expectancy, and financial education positively affect users’ intention to use e-CNY; perceived risk negatively affects users’ intention to use e-CNY. Based on the results, monetary authorities should deeply optimize the functions of e-CNY, simplify operational procedures, improve laws and supervision, and increase publicity and education efforts to promote the popularization of e-CNY.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
20 December 2022
ISBN
978-94-6463-030-5
ISSN
2589-4919
DOI
10.2991/978-94-6463-030-5_26How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xiaoling Song
AU  - Rui Wang
PY  - 2022
DA  - 2022/12/20
TI  - Research on Influencing Factors of Intention to Use E-CNY
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 241
EP  - 254
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_26
DO  - 10.2991/978-94-6463-030-5_26
ID  - Song2022
ER  -