
The Impact Study of Mobile Payment on Household Asset Allocation: Evidence from CHFS Data
- 1 Tongji University
* Author to whom correspondence should be addressed.
Abstract
Low household risk market participation has been a problem for a long time in China, this study explores the issue of Chinese household asset allocation from the perspective of mobile payment. Based on China Household Finance Survey data in 2017, this research studies the impact of mobile payment on Chinese household stock market participation and risk participation by using Probit model. Tobit and OLS model are used to analyze the impact of mobile payment on Chinese household risky asset allocation and the types of risky asset Chinese families hold. To reduce endogeneity caused by omitted variables and measurement errors, this study uses Instrumental Variable to make the estimation. The empirical results indicate that mobile payment can promote household stock market and risk participation by improving social interaction, social trust and financial literacy. Area heterogeneity analysis shows that mobile payment has a greater impact on eastern, first, second and third tier, and urban areas. Additionally, heterogeneity of family characteristics shows that mobile payment is more effective for highly educated households. This study provides a new perspective to conduct research on investment problems in China, and has extremely strong practical significance.
Keywords
mobile payment, stock market participation, risk participation
[1]. Guo, S. (2012). There will be no way out for China's economy without improving its financial structure. International Economic Review, (04), 9-16+4.
[2]. Yin, Z., & Huang, Q. (2013). A review of research on the mystery of limited participation in the stock market. Economic Review, (06), 144-150.
[3]. Jiang, J., Wang, Z., & Liao, L. (2018). Rural growth experience and stock market participation. Economic Research, 53(08), 84-99.
[4]. Department of Payment and Settlement, People's Bank of China. (2017). China Payment System Development Report. Beijing: China Finance Press.
[5]. Yin, Z., Gong, X., & Guo, P. (2019). The impact of mobile payment on entrepreneurship - Micro evidence from the Chinese household finance survey. China Industrial Economy, (03), 119-137.
[6]. Yin, Z., Gong, X., & Pan, B. (2019). The impact of mobile payment on household money demand - Micro evidence from the Chinese household finance survey. Financial Research, (10), 40-58.
[7]. Yin, Z., Liu, T., & Zhang, Y. (2021). Does digital finance promote residential employment?. Fujian Forum (Humanities and Social Sciences Edition), (02), 98-112.
[8]. Chen, M., & Cheng, Z. (2021). The impact of mobile payment popularization on residents' consumption inequality - micro evidence from CHFS. Consumer Economics, 37(06), 50-59.
[9]. Humphrey, D. B., & Kim, M. (2001). Vale realizing the gains from electronic payments: Costs, pricing, and payment choice. Journal of Money, Credit and Banking, 33(2), 216-234.
[10]. Zhang, Y., & Yang, K. (2010). Study on the influence of electronic payment methods on regional trade development. Gansu Social Sciences, (03), 192-195.
[11]. Xie, P., & Liu, H. (2013). ICT, Mobile Payment and Electronic Money. Financial Research, (10), 1-14.
[12]. Wang, X., & Hu, D. (2017). Research on the impact of mobile payment on consumer behavior: a comparison based on different payment methods. Consumer Economy, 33(05), 77-82+97.
[13]. Riley, E. (2018). Mobile money and risk sharing against village shocks. Journal of Development Economics, 135.
[14]. Pei, H., & Hu, Y. (2020). An empirical study on the impact of mobile payment on China's residents' consumption. Journal of Xi'an Finance and Economics College, 33(01), 37-44.
[15]. Hamdi, H. (2011). Can E-Payment Systems Revolutionize Finance of the Less Developed Countries? The Case of Mobile Payment Technology. International Journal of Economics and Financial Issues, 1(2), 46-53.
[16]. Chen, M., & Liu, Y. (2020). Research on the impact of mobile payment on China's economic growth. Journal of Bohai University (Philosophy and Social Science Edition), 42(05), 71-77.
[17]. Zhao, P., Wang, H., & Zhao, X. (2015). Research on the differential impact of human capital on urban and rural household entrepreneurship: An empirical analysis based on CHFS survey data. Population and Economy, (03), 89-97.
[18]. Hong, H., Kubik, J. D., & Stein, J. C. (2004). Social interaction and stock-market participation. The Journal of Finance, 59(1), 137-163.
[19]. Li, T. (2006a). Social interaction and investment choice. Economic Research, (08), 45-57.
[20]. Markku, K., & Knüpferand, S. (2012). Peer performance and stock market entry. Financ. Econ., 104, 321–338.
[21]. Li, T. (2006b). Social interaction, trust and stock market participation. Economic Research, (01), 34-45.
[22]. Guiso, L., Sapienza, P., & Zingales, L. (2008). Trusting the Stock Market. The Journal of Finance, 63(6), 2557-2600.
[23]. Dong, J., Xi, B., & Wu, S. (2013). Trust and Household Stock Asset Allocation: An Empirical Analysis Based on Resident Household Micro Survey Data. Jiangxi Social Science, 33(07), 60-65.
[24]. Zang, R., & Wu, Y. (2017). Social trust and urban household investment in risky financial assets: An empirical study based on CFPS data. Journal of Nanjing Audit University, 4(04), 55-65.
[25]. Yin, Z., Song, Q., & Wu, Y. (2014). Financial knowledge, investment experience and household asset choice. Economic Research, 49(04), 62-75.
[26]. Zeng, Z., He, Q., Wu, Y., & Yin, Z. (2015). Financial literacy and household portfolio diversity. Economist, (06), 86-94.
[27]. Wu, Y., Peng, C., & Yin, Z. (2016). Financial Literacy, Wealth Accumulation and Household Asset Structure. Contemporary Economic Science, 38(04), 19-29+124-125.
[28]. Zhu, X. (2018). Human Capital and Household Asset allocation. Capital University of Economics and Business.
[29]. Qin, H., Li, C., & Wan, J. (2018). Financial literacy, financial asset allocation and portfolio effectiveness. Journal of Nanjing Audit University, 15(06), 99-110.
[30]. Conley, T. G., Hansen, C. B., & Rossi, P. E. (2012). Plausibly Exogenous. Review of Economics and Statistics, 94(1), 260-272.
[31]. Xu, H. (2006). A preliminary study of China's mobile payment market research and development. Southwest University of Finance and Economics.
[32]. Ma, G., & Yang, E. (2011). Social Networks, Informal Finance and Entrepreneurship. Economic Research, 46(03), 83-4.
[33]. Gan, L., Lu, X., Wang, X., Zhou, R., Li, Z., Wang, F., Lin, C., Cheng, Z., Wu, Y., Zhang, Y., & Feng, C. (2020). Trends of household wealth change in China under the epidemic. China Economic Report, (04), 110-123.
[34]. Guo, S., & Liang, P. (2014). Social Interaction, Information Channels and Household Stock Market Participation - An Empirical Study Based on the 2011 Chinese Household Finance Survey. Economic Research, 49(S1), 116-131.
Cite this article
Xu,Y. (2025). The Impact Study of Mobile Payment on Household Asset Allocation: Evidence from CHFS Data. Journal of Applied Economics and Policy Studies,16,30-40.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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