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Research on the impact and mechanism of digital capabilities and digital finance on household wealth in the context of aging
Abstract
China has entered a period of synchronous development between digitalization and aging. Based on the data from the China Household Finance Survey (CHFS), the partial least squares structural equation model (PLS-SEM) and multi-group analysis were used to analyze the impact mechanism of digital capabilities and digital finance on the wealth of elderly households. The results indicate that digital capabilities and digital finance can improve the wealth level of households headed by the elderly through direct and indirect paths. The indirect effects of digital capabilities and digital finance on elderly household wealth are all exerted through the node of business and property income, and entrepreneurship/investment are mediating variables. Moreover, digital capabilities have a greater impact on the wealth of elderly households in the central and western China regions, while digital finance has a greater impact in the eastern China regions. In addition, there is no significant difference in the effect of digital capabilities on business and property income across regions, while digital finance has a larger effect in the eastern region. The above conclusions can provide theoretical and practical support for realizing active aging and common prosperity in different countries and regions.
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Cites
When to Use and How to Report the Results of PLS-SEM
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019) · European Business Review · doi:10.1108/ebr-11-2018-0203 · Cited by 27,541
Pls-Sem: indeed a silver bullet
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011) · Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679190202 · Cited by 21,631
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
Advanced Issues in Partial Least Squares Structural Equation Modeling
Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017) · Cited by 2,503
Mobile Phones and Economic Development in Africa
Aker, J. C., & Mbiti, I. M. (2010) · Journal of Economic Perspectives · doi:10.1257/jep.24.3.207 · Cited by 2,216
The long-run poverty and gender impacts of mobile money
Suri, T., & Jack, W. (2016) · Science · doi:10.1126/science.aah5309 · Cited by 1,628
12 Structural Equation Modeling in Management Research: A Guide for Improved Analysis
Williams, L. J., Vandenberg, R. J., & Edwards, J. R. (2009) · Academy of Management Annals · doi:10.5465/19416520903065683 · Cited by 964
From internet access to internet skills: digital inequality among older adults
Hargittai, E., Piper, A. M., & Morris, M. R. (2019) · Universal Access in the Information Society · doi:10.1007/s10209-018-0617-5 · Cited by 616
Microfinance, financial inclusion and ICT: Implications for poverty and inequality
Mushtaq, R., & Bruneau, C. (2019) · Technology in Society · doi:10.1016/j.techsoc.2019.101154 · Cited by 476
Elderly Forgotten? Digital Exclusion in the Information Age and the Rising Grey Digital Divide
Mubarak, F., & Suomi, R. (2022) · INQUIRY The Journal of Health Care Organization Provision and Financing · doi:10.1177/00469580221096272 · Cited by 412
Payment instruments, finance and development
Beck, T., Pamuk, H., Ramrattan, R., & Uras, B. R. (2018) · Journal of Development Economics · doi:10.1016/j.jdeveco.2018.01.005 · Cited by 407
What Drives Entrepreneurship in Digital Economy? Evidence from China
Yin, Z., Gong, X., Guo, P., & Wu, T. (2019) · Economic Modelling · doi:10.1016/j.econmod.2019.09.026 · Cited by 305
Suri, T. (2017) · Annual Review of Economics · doi:10.1146/annurev-economics-063016-103638 · Cited by 288
Effect of digital inclusive finance on common prosperity and the underlying mechanisms
Zhang, C., Zhu, Y., & Zhang, L. (2023) · International Review of Financial Analysis · doi:10.1016/j.irfa.2023.102940 · Cited by 202
Chen, Z., Li, Y., Wu, Y., & Luo, J. (2017) · Financial Innovation · doi:10.1186/s40854-017-0062-0 · Cited by 197
Self-citationWhy Should PLS-SEM Be Used Rather Than Regression? Evidence from the Capital Structure Perspective
Ramli, N. A., Latan, H., & Nartea, G. V. (2018) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-3-319-71691-6_6 · Cited by 192
Growing Wealth Gaps in Education
Pfeffer, F. T. (2018) · Demography · doi:10.1007/s13524-018-0666-7 · Cited by 178
Smartphone use and income growth in rural China: empirical results and policy implications
Ma, W., Grafton, R. Q., & Renwick, A. (2018) · Electronic Commerce Research · doi:10.1007/s10660-018-9323-x · Cited by 173
Digital financial inclusion and vulnerability to poverty: evidence from Chinese rural households
Wang, X., & Fu, Y. (2021) · China Agricultural Economic Review · doi:10.1108/caer-08-2020-0189 · Cited by 157
He, Y., Li, K., & Wang, Y. (2022) · Technology in Society · doi:10.1016/j.techsoc.2022.102141 · Cited by 149
Pandemic, Mobile Payment, and Household Consumption: Micro-Evidence from China
Liu, T., Pan, B., & Yin, Z. (2020) · Emerging Markets Finance and Trade · doi:10.1080/1540496x.2020.1788539 · Cited by 144
The Structure and Distribution of Household Wealth in Australia
Headey, B., Marks, G. N., & Wooden, M. (2005) · Australian Economic Review · doi:10.1111/j.1467-8462.2005.00363.x · Cited by 139
Digital Financial Inclusion and Consumption Smoothing in China
Lai, J. T., Yan, I. K., Yi, X., & Zhang, H. (2020) · China & World Economy · doi:10.1111/cwe.12312 · Cited by 133
Mandhani, J., Nayak, J. K., & Parida, M. (2020) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2020.08.014 · Cited by 116
Mobile payment and rural household consumption: Evidence from China
Zhang, J., Zhang, H., & Gong, X. (2021) · Telecommunications Policy · doi:10.1016/j.telpol.2021.102276 · Cited by 110
Internet Use in Old Age: Results of a German Population-Representative Survey
Quittschalle, J., Stein, J., Luppa, M., Pabst, A., Löbner, M., König, H., & Riedel-Heller, S. G. (2020) · Journal of Medical Internet Research · doi:10.2196/15543 · Cited by 109
Mobile Payment in China: Practice and Its Effects
Huang, Y., Wang, X., & Wang, X. (2020) · Asian Economic Papers · doi:10.1162/asep_a_00779 · Cited by 86
Entrepreneurship, productivity and digitalization: Evidence from the EU
Ghazy, N. H., Ghoneim, H., & Lang, G. (2022) · Technology in Society · doi:10.1016/j.techsoc.2022.102052 · Cited by 75
Zheng, H., & Ma, W. (2021) · Applied Economics · doi:10.1080/00036846.2021.1897513 · Cited by 74
Digital finance, entrepreneurship and the household income gap: Evidence from China
Hu, D., Guo, F., & Zhai, C. (2023) · Information Processing & Management · doi:10.1016/j.ipm.2023.103478 · Cited by 73
The effect of digital finance on Residents' happiness: the case of mobile payments in China
Zhao, C., Li, X., & Yan, J. (2022) · Electronic Commerce Research · doi:10.1007/s10660-022-09549-5 · Cited by 72
Self-citationSocial Networks and Informal Financial Inclusion in the People's Republic of China
Chai, S., Chen, Y., Huang, B., & Ye, D. (2018) · Asia Pacific Journal of Management · doi:10.2139/ssrn.3140099 · Cited by 71
Entrepreneurship and income inequality in Southern Ethiopia
Kimhi, A. (2010) · Small Business Economics · doi:10.1007/s11187-009-9196-4 · Cited by 69
Poverty reduction in rural China: Does the digital finance matter?
Chen, B., & Zhao, C. (2021) · PLoS ONE · doi:10.1371/journal.pone.0261214 · Cited by 64
Digital literacy and financial market participation of middle-aged and elderly adults in China
Wang, Q., Liu, C., & Lan, S. (2022) · Economic and Political Studies · doi:10.1080/20954816.2022.2115191 · Cited by 61
Digital financial capabilities and household entrepreneurship
Luo, Y., & Zeng, L. (2020) · Economic and Political Studies · doi:10.1080/20954816.2020.1736373 · Cited by 59
Financing women’s entrepreneurship in Sub-Saharan Africa: bank, microfinance and mobile money
Ngono, J. F. L. (2020) · Labor History · doi:10.1080/0023656x.2020.1851666 · Cited by 59
Digital finance and happiness: evidence from China
Meng, K., & Xiao, J. J. (2022) · Information Technology for Development · doi:10.1080/02681102.2022.2097622 · Cited by 54
Impact of Digital Financial Inclusion on Residents’ Income and Income Structure
Li, Q., & Liu, Q. (2023) · Sustainability · doi:10.3390/su15032196 · Cited by 52
Digital Finance, Household Income and Household Risky Financial Asset Investment
Yan, S., Hu, W., & Zhang, Y. (2022) · Procedia Computer Science · doi:10.1016/j.procs.2022.04.032 · Cited by 51
Internet use and self-rated health among Swedish 70-year-olds: a cross-sectional study
Falk, H., Ahlner, F., Sterner, T. R., Skoog, I. G., & Bergström, A. (2019) · BMC Geriatrics · doi:10.1186/s12877-019-1392-8 · Cited by 50
Du, Q., Zhou, F., Yang, T., & Du, A. M. (2022) · Emerging Markets Finance and Trade · doi:10.1080/1540496x.2022.2153592 · Cited by 50
Can income differences explain the racial wealth gap? A quantitative analysis
Ashman, H., & Neumuller, S. (2019) · Review of Economic Dynamics · doi:10.1016/j.red.2019.06.004 · Cited by 43
Does digital financial inclusion reduce the risk of returning to poverty? Evidence from China
Xu, F., Zhang, X., & Zhou, D. (2024) · International Journal of Finance & Economics · doi:10.1002/ijfe.2812 · Cited by 39
Pension Wealth and the Gender Wealth Gap
Cordova, K., Grabka, M. M., & Sierminska, E. M. (2022) · European Journal of Population / Revue européenne de Démographie · doi:10.1007/s10680-022-09631-6 · Cited by 38
Li, K., Mengmeng, H., & Huo, J. (2022) · PLoS ONE · doi:10.1371/journal.pone.0267055 · Cited by 34
The influence of digital inclusive finance on household wealth: A study based on CHFS data
Wu, F., Cui, F., & Liu, T. (2023) · Finance research letters · doi:10.1016/j.frl.2023.104460 · Cited by 34
Broadband internet and stock market participation
Yi, W., Niu, G., Zhou, Y., & Lu, W. (2022) · International Review of Financial Analysis · doi:10.1016/j.irfa.2022.102473 · Cited by 30
Zhou, L., & Wang, H. (2021) · Scientific Programming · doi:10.1155/2021/4645596 · Cited by 23
DOES DIGITAL INCLUSIVE FINANCE PROMOTE ENTREPRENEURSHIP? EVIDENCE FROM CHINESE CITIES
Gao, Y., Lu, Y., & WANG, J. (2022) · The Singapore Economic Review · doi:10.1142/s0217590822500618 · Cited by 23
Impact of internet use on value and diversity of risky financial asset portfolios
Zhou, X., Vatsa, P., & Ma, W. (2023) · The Quarterly Review of Economics and Finance · doi:10.1016/j.qref.2023.03.012 · Cited by 21
Alinaghi, N. (2019) · Journal of Development Effectiveness · doi:10.1080/19439342.2019.1684343 · Cited by 19
Johnston, L. (2019) · Australian Economic Review · doi:10.1111/1467-8462.12325 · Cited by 18
The Impact of Mobile Finance Use on Livelihoods of Farmers in Rural China
Wang, J., Yu, X., Lyu, K., & Feil, J. (2021) · Emerging Markets Finance and Trade · doi:10.1080/1540496x.2021.2013195 · Cited by 18
Saved by Wealth? Income, Wealth, and Self-Perceived Health in Spain during the Financial Crisis
Casasnovas, G. L. I., & Sáez, M. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17197018 · Cited by 8
Vo, D. H., & Hồ, C. M. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e12502 · Cited by 7
Digital Penetration,Inclusive Finance and Household Wealth Growth
Tian-yun, Z., & Mingxiang, C. (2021) · Cai-jing yanjiu · doi:10.16538/j.cnki.jfe.20210217.101 · Cited by 3
Research works printed but not linked: 3
- Chen, 2022, Research on the impact of digital inclusive finance on multidimensional relative poverty: from the perspective of aging, On Econ. Probl., 519
- Guo, 2020, Measuring China's digital financial inclusion: index compilation and spatial characteristics, China Econ. Q., 19, 1401
- Chai, 2019, Social networks and informal financial inclusion in China, Asia Pac. J. Manag., 36, 529, 10.1007/s10490-017-9557-5 · DOI
Metadata
- Authors
- Li, Y., Jin, R., & Li, X.
- Venue
- Heliyon
- Publisher
- Elsevier BV
- Published
- 2024-01
- Volume
- 10
- Issue
- 2
- Pages
- e24255
- ISSN
- 2405-8440
- Cited by
- 12
- References
- 57
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- creativecommons.org/licenses/by-nc-nd/4.0/ (vor, 4 d)
- Funders
- Chinese National Funding of Social Sciences (20BRK036)
- National Office for Philosophy and Social Sciences
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