Proceedings of 2016 2nd International Conference on Humanities and Social Science Research (ICHSSR 2016)

Study on Bitcoin Risk Perception Based on EFA and Structural Equation Model

Authors
Jing Li, Qin Qin, Yu Zhang
Corresponding Author
Jing Li
Available Online July 2016.
DOI
10.2991/ichssr-16.2016.91How to use a DOI?
Keywords
Bitcoin ,Risk Perception,EFA,Structural Equation Model.
Abstract

This document established the main factors of bitcoin risk perception based on the explorative factor analysis, then studied them using structural equation model and conducted one-order and second-order confirmatory factor analysis. The results show that the bitcoin perceived risk mainly includes four aspects: bitcoin technology and security risk, national policy and legal risks, social risks, bitcoin market and transaction risk, the risk perception has correlation on each other. Based on the model, the author put forward the corresponding policy recommendations.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of 2016 2nd International Conference on Humanities and Social Science Research (ICHSSR 2016)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
July 2016
ISBN
978-94-6252-235-0
ISSN
2352-5398
DOI
10.2991/ichssr-16.2016.91How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jing Li
AU  - Qin Qin
AU  - Yu Zhang
PY  - 2016/07
DA  - 2016/07
TI  - Study on Bitcoin Risk Perception Based on EFA and Structural Equation Model
BT  - Proceedings of 2016 2nd International Conference on Humanities and Social Science Research (ICHSSR 2016)
PB  - Atlantis Press
SP  - 430
EP  - 436
SN  - 2352-5398
UR  - https://doi.org/10.2991/ichssr-16.2016.91
DO  - 10.2991/ichssr-16.2016.91
ID  - Li2016/07
ER  -