The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Digital finance and financial literacy: Evidence from Chinese households
Open accessAbstract
We measure financial literacy and study its impact on household use of digital finance using the 2015 and 2017 China Household Finance Survey. We find that financial literacy significantly boosts the use of digital finance, including mobile payments, online borrowing, and online financial products. This effect is more pronounced for online borrowing and online financial products than for mobile payments. This result suggests that the impact of financial literacy increases with the complexity of digital finance. Furthermore, financial literacy plays a more important role in promoting the use of digital financial services among disadvantaged groups, such as families with low income and wealth, the elderly, and residents in rural areas, compared with their counterparts.
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Cites
Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models
Sobel, M. E. (1982) · Sociological Methodology · doi:10.2307/270723 · Cited by 12,810
The Economic Importance of Financial Literacy: Theory and Evidence
Lusardi, A., & Mitchell, O. S. (2014) · Journal of Economic Literature · doi:10.1257/jel.52.1.5 · Cited by 4,698
Financial literacy and stock market participation
van Rooij, M., Lusardi, A., & Alessie, R. (2011) · Journal of Financial Economics · doi:10.1016/j.jfineco.2011.03.006 · Cited by 3,554
Impact of digital finance on financial inclusion and stability
Ozili, P. K. (2018) · Borsa Istanbul Review · doi:10.1016/j.bir.2017.12.003 · Cited by 2,133
Planning and Financial Literacy: How Do Women Fare?
Lusardi, A., & Mitchell, O. S. (2008) · American Economic Review · doi:10.1257/aer.98.2.413 · Cited by 1,512
How Does Household Portfolio Diversification Vary with Financial Literacy and Financial Advice?
GAUDECKER, H. V. (2015) · The Journal of Finance · doi:10.1111/jofi.12231 · Cited by 596
Financial literacy and consumer credit portfolios
Disney, R., & Gathergood, J. (2013) · Journal of Banking & Finance · doi:10.1016/j.jbankfin.2013.01.013 · Cited by 439
Cited by
Financial inclusion and fintech: a state-of-the-art systematic literature review
Ha, D., Le, P., & Nguyen, D. K. (2025) · Financial Innovation · doi:10.1186/s40854-024-00741-0 · Cited by 110
“Financial literacy significantly boosts digital finance including mobile payments, online borrowing, and online financial products (Yang et al. 2023).”
Influentialde Almeida, S. S. T., da Silva, W. V., Kaczam, F., de Almeida Levino, N., & da Veiga, C. P. (2026) · Future Business Journal · doi:10.1186/s43093-026-01001-6
Metadata
- Authors
- Yang, J., Wu, Y., & Huang, B.
- Venue
- Journal of Banking & Finance
- Publisher
- Elsevier BV
- Published
- 2023-11
- Volume
- 156
- Pages
- 107005
- ISSN
- 0378-4266 (ISSN-L)
- OpenAlex
- W4386646939
- Cited by
- 201
- References
- 7
- FWCI
- 58.21
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Yang, J., Wu, Y., & Huang, B. (2023). Digital finance and financial literacy: Evidence from Chinese households. Journal of Banking & Finance. https://doi.org/10.1016/j.jbankfin.2023.107005
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