
The Influence of Different Demographic Factors on Consumers’ Financial Literacy in China
- 1 Monash University
- 2 Royal Russell School
* Author to whom correspondence should be addressed.
Abstract
Because of the impact of the COVID-19 pandemic, China's economy and financial markets have been volatile in recent years. This necessitates using financial literacy by Chinese customers to handle their assets effectively and avoid losses. This essay aims to investigate the effect of various demographic parameters on the financial quality of Chinese consumers. The 2019 China Consumer Finance Survey questionnaire yielded 13,000 data points for this article. STATA was applied to screen twelve independent variables associated with financial quality, and a multiple linear regression model was utilized to determine the association between each variable. The findings revealed a strong relationship between age, gender, income, education level, the proportion of household members with sickness, consumer risk preference, rural domicile, family size, self-employment and house ownership with financial quality, except that there was no significant correlation between marital status and consumer financial quality. The results indicated a significant correlation between age, gender, income, education level, and the proportion of household members with illness. These findings imply that different demographic factors influence Chinese consumers' financial quality to varying degrees. As a result, each consumer makes different decisions about managing assets and avoiding risk.
Keywords
China, customers, financial literacy, demographic factors
[1]. President’s Advisory Council. (2008) President’s Advisory Council on Financial Literacy. https://www.academia.edu/6708140/Presidents_Advisory_Council_on_Financial_Literacy_2008_Annual_Report_to_the_President
[2]. Annamaria, L. and Mitchell, O.S. (2011) Financial Literacy around the World: an Overview. Journal of Pension Economics and Finance, 10(4): 497–508.
[3]. Li, Y., Mutchler, J.E., Miller, E.A., Xiao, J.J., and Tucker-Seeley, R. (2022) Space, Context, and Human Capital: A Micro–Macro Perspective on the Social Environment and Financial Literacy in Later Life." Popul Res Policy Rev, 41: 1385–1404.
[4]. Twumasi, M.A., Jiang,Y.S., J., Adhikari, S., Gyamfi, C.A., Asare, I. (2022). Financial literacy and its determinants: the case of rural farm households in Ghana. Agricultural Finance Review., 82(4): 641–656.
[5]. Bennett, J.S., Boyle, P.A., James, B.D. and Bennett, D.A., (2012) Correlates Of Health And Financial Literacy In Older Adults Without Dementia. BMC Geriatrics, 12: 1-9.
[6]. Struckell, E.M., Patel, P.C., Ojha, D., Oghazi, P. (2022) Financial Literacy and Self Employment-The Moderating Effect of Gender and Race. Journal of Business Research, 139: 639-653.
[7]. Aren, S., Zengin, A.N. (2016) Influence of Financial Literacy and Risk Perception on Choice of Investment. Procedia Social and Behavioral Sciences, 235: 656-663.
[8]. Gupta, P.K., Hanagandi, S.S. (2022) Impact of Demography on Financial Literacy. SDMIMD Journal of Management, 13: 81-96.
[9]. Survey And Research Center For China Household Financial, (2022). Data center data application. https://chfs.swufe.edu.cn/sjzx/sjsq.htm
[10]. Ganesh S. (2010) Multivariate Linear Regression. In: Penelope, P., Eva B. and Barry M. (Eds.), International Encyclopedia of Education. Elsevier Science., New Zealand. pp.324-331
[11]. Barnard, C.R., Billing, J., Brotherston, D., Jeffery, T., Mansell, P. and Wright, J. (2021) Money, Knowledge and Power. British Actuarial Journal, 26: 1-26.
Cite this article
Chen,Y.;Huang,S. (2023). The Influence of Different Demographic Factors on Consumers’ Financial Literacy in China. Advances in Economics, Management and Political Sciences,11,39-45.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
Disclaimer/Publisher's Note
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
About volume
Volume title: Proceedings of the 2nd International Conference on Business and Policy Studies
© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license. Authors who
publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons
Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this
series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published
version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial
publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and
during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See
Open access policy for details).