|
|
Digital Financial Inclusion and Resilience to Unanticipated Shocks: Theory and Evidence |
LI Zheng, LI Xin
|
Institute of Finance and Development, Nankai University |
|
|
Abstract A stable financial inclusion system can improve a household's resilience to risk and the financial health of consumers. Digital finance is developing rapidly in China, and thus, the importance of promoting a healthy and sustainable system of digital financial inclusion is recognized. However, the issue of consumer financial health has not been fully considered in the literature. Digital finance development can encounter problems such as platform cross-credit granting and individual over-lending. We therefore investigate how digital financial inclusion can reduce households' unanticipated risks from the perspective of financial health and how it can effectively develop in China. We first develop a theoretical model to examine how digital financial inclusion affects unexpected risk shocks. We then conduct an empirical investigation in the Chinese context using the Global Findex Database for 2014 and 2017. We find that first, digital financial inclusion can effectively enhance households' resilience to risk shocks. All groups can enjoy the dividends of digital financial development, but the less-well-off gain the most benefit. Second, we find that moderate borrowing can increase households' risk-taking, while excessive borrowing will lead to higher risk-taking, thereby reducing the available contingency when facing risk. This indicates that residents' ability to cope with risk is based on rational borrowing. We obtain data from the China Household Finance Survey and China Family Panel Studies and confirm our findings. Third, digital financial inclusion can improve households' ability to respond to risk through four channels: promoting transfer and remittance, increasing trust levels, increasing the frequency of deposits and withdrawals, and reducing transaction costs. Finally, digital financial inclusion can help households affected by the risks of steady consumption, mainly through the promotion of spending on non-durable goods. This study provides several important policy implications. First, the development of digital financial inclusion can help households participate in the financial market and provide them with safe savings channels, and market regulators can also better manage sudden risks. China should therefore accelerate digital technology innovation and aim to fully implement digital financial inclusion. Second, borrowing behavior in the development of digital financial inclusion may become excessive, so any financial inclusion system should focus on the following. (1) Improving the financial literacy of consumers. Policymakers should conduct online financial education, ensure the protection of financial consumers' rights and interests and improve households' financial prevention capabilities. (2) The supervision mechanism of digital financial platforms should be improved by the government, which can promote innovative management and control technology. (3) The effective sharing of big data between financial technology platforms can prevent consumers' overborrowing and excessive debt. The main contributions of this paper are as follows. First, based on our theoretical and empirical research, we reveal the impact of digital financial inclusion on the response to unexpected risk and its mechanism. Research has mainly focused on the relationship between digital financial inclusion and the demand for credit, consumption, entrepreneurial innovation, inequality, and inclusive growth. Few studies have fully considered the impact of digital financial inclusion on households' risk response. Our study therefore extends the literature in this direction. Second, we explore the consequences of multiple lending behaviors from a financial health perspective. Our empirical results show that excessive borrowing can weaken the risk-smoothing effect of digital financial inclusion. A high-quality financial inclusion system should involve consumers' financial health, and so our findings provide a new research perspective and useful policy references for the development of such a system. Third, we present micro-evidence that digital financial inclusion can help households suffering from negative shocks by stabilizing their consumption, thus providing new insights into how steady consumption can be attained through financial inclusion.
|
Published: 02 July 2022
|
|
|
|
[1] |
樊潇彦、袁志刚和万广华,2007,《收入风险对居民耐用品消费的影响》,《经济研究》第4期,第124~136页。
|
[2] |
傅秋子和黄益平,2018,《数字金融对农村金融需求的异质性影响——来自中国家庭金融调查与北京大学数字普惠金融指数的证据》,《金融研究》第11期,第68~84页。
|
[3] |
高梦滔和姚洋,2005,《健康风险冲击对农户收入的影响》,《经济研究》第12期,第15~25页。
|
[4] |
郭峰、王靖一、王芳、孔涛、张勋和程志云,2020,《测度中国数字普惠金融发展:指数编制与空间特征》,《经济学(季刊)》第4期,第1401~1418页。
|
[5] |
李建军和韩珣,2019,《普惠金融、收入分配和贫困减缓——推进效率和公平的政策框架选择》,《金融研究》第3期,第129~148页。
|
[6] |
廖理和张金宝,2011,《城市家庭的经济条件、理财意识和投资借贷行为——来自全国24个城市的消费金融调查》,《经济研究》第1期,第17~29页。
|
[7] |
聂秀华、江萍、郑晓佳和吴青,2021,《数字金融与区域技术创新水平研究》,《金融研究》第3期,第132~150页。
|
[8] |
王修华和赵亚雄,2020,《数字金融发展是否存在马太效应?——贫困户与非贫困户的经验比较》,《金融研究》第7期,第114~133页。
|
[9] |
吴卫星、吴锟和王琎,2018,《金融素养与家庭负债——基于中国居民家庭微观调查数据的分析》,《经济研究》第1期,第97~109页。
|
[10] |
谢绚丽、沈艳、张皓星和郭峰,2018,《数字金融能促进创业吗?——来自中国的证据》,《经济学(季刊)》第4期,第1557~1580页。
|
[11] |
易行健和周利,2018,《数字普惠金融发展是否显著影响了居民消费——来自中国家庭的微观证据》,《金融研究》第11期,第47~67页。
|
[12] |
尹志超、公雪和郭沛瑶,2019,《移动支付对创业的影响——来自中国家庭金融调查的微观证据》,《中国工业经济》第3期,第119~137页。
|
[13] |
张勋、万广华、张佳佳和何宗樾,2019,《数字经济、普惠金融与包容性增长》,《经济研究》第8期,第71~86页。
|
[14] |
Ambrus, A., Field, E., and Gonzalez, R. 2020. “Loss in the Time of Cholera: Long-run Impact of a Disease Epidemic on the Urban Landscape”, American Economic Review, 110(2):475~525.
|
[15] |
Berg, T., Burg, V., Gombovic', A., and Puri, M. 2020. “On the Rise of FinTechs: Credit Scoring Using Digital Footprints”, Review of Financial Studies, 33(7):2845~2897.
|
[16] |
Björkegren, D., and Grissen, D. 2018. “The Potential of Digital Credit to Bank the Poor”, AEA Papers and Proceedings, 108:68~71.
|
[17] |
Björkegren, D., and Grissen, D. 2020. “Behavior Revealed in Mobile Phone Usage Predicts Credit Repayment”, World Bank Economic Review, 34(3):618~634.
|
[18] |
Brown, J. R., Cookson, J. A., and Heimer, R. Z. 2019. “Growing Up Without Finance”, Journal of Financial Economics, 134(3):591~616.
|
[19] |
Campbell, J. Y. 2016. “Restoring Rational Choice: The Challenge of Consumer Financial Regulation”, American Economic Review, 106(5):1~30.
|
[20] |
Chamon, M. D., and Prasad, E. S. 2010. “Why Are Saving Rates of Urban Households in China Rising?”, American Economic Journal: Macroeconomics, 2(1):93~130.
|
[21] |
DellaVigna, S., and Malmendier, U. 2004. “Contract Design and Self-Control: Theory and Evidence”, Quarterly Journal of Economics, 119(2):353~402.
|
[22] |
Dupas, P., and Robinson, J. 2013. “Why Don't the Poor Save More? Evidence from Health Savings Experiments”, American Economic Review, 103(4):1138~1171.
|
[23] |
European Central Bank. 2013. “The Eurosystem Household Finance and Consumption Survey: Results of the First Wave”, ECB Statistical Paper Series No. 2.
|
[24] |
Ganong, P., and Noel, P. 2019. “Consumer Spending During Unemployment: Positive and Normative Implications”, American Economic Review, 109(7):2383~2424.
|
[25] |
Guerrieri, V., and Lorenzoni, G. 2017. “Credit Crises, Precautionary Savings, and the Liquidity Trap”, Quarterly Journal of Economics, 132(3):1427~1467.
|
[26] |
Hau, H., Huang, Y., Shan, H., and Sheng, Z. 2019. “How FinTech Enters China's Credit Market”, AEA Papers and Proceedings, 109:60~64.
|
[27] |
Heidhues, P., and Köszegi, B. 2010. “Exploiting Naivete About Self-control in the Credit Market”, American Economic Review, 100(5):2279~2303.
|
[28] |
Jack, W., and Suri, T. 2014. “Risk Sharing and Transactions Costs: Evidence from Kenya's Mobile Money Revolution”, American Economic Review, 104(1):183~223.
|
[29] |
Karlan, D., and Zinman, J. 2010. “Expanding Credit Access: Using Randomized Supply Recisions to Estimate the Impacts”, Review of Financial Studies, 23(1):433~464.
|
[30] |
Lee, S., and Persson, P. 2016. “Financing from Family and Friends”, Review of Financial Studies, 29(9):2341~2386.
|
[31] |
Leth-Petersen, S. 2010. “Intertemporal Consumption and Credit Constraints: Does Total Expenditure Respond to an Exogenous Shock to Credit?”, American Economic Review, 100(3):1080~1103.
|
[32] |
Oster, E. 2019. “Unobservable Selection and Coefficient Stability: Theory and Evidence”, Journal of Business & Economic Statistics, 37(2):187~204.
|
[33] |
Tang, H. 2019. “Peer-to-Peer Lenders Versus Banks: Substitutes or Complements?”, Review of Financial Studies, 32(5):1900~1938.
|
[34] |
Zhou, W. 2014. “Brothers, Household Financial Markets and Savings Rate in China”, Journal of Development Economics, 111(10):34~47.
|
|
|
|