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Study on the influence of Internet finance on urban household savings rate: Evidence from China

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  • Xin, Xinyi
  • Zhang, Anquan
  • Liu, Lu

Abstract

This study aims to investigate the impact of Internet finance on the urban household savings rate. We constructed a theoretical model to depict the mechanism of how Internet finance influences urban household savings rates. For empirical analysis, we use the cross-sectional data from the China Household Finance Survey (CHFS) and conduct ERM to attain the extent to which Internet finance affects savings rates. The results show that the behavior of urban households participating in Internet finance has a significantly reduced effect on the urban household savings rate. In addition, the results of heterogeneity analysis show that the effect of Internet finance on the savings rate for urban households with a low level of assets and income is stronger and more significant, which has strong political implications. The results also show that households with older average age are not significantly affected by Internet finance, which reveals the possible limitations. This study provides a theoretical model to reveal the mechanism of how Internet finance reduces household savings rate and uses empirical analysis to measure the marginal influence of Internet finance on urban household savings rate, as well as offers suggestions for better development of Internet finance.

Suggested Citation

  • Xin, Xinyi & Zhang, Anquan & Liu, Lu, 2024. "Study on the influence of Internet finance on urban household savings rate: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 45-61.
  • Handle: RePEc:eee:reveco:v:90:y:2024:i:c:p:45-61
    DOI: 10.1016/j.iref.2023.11.003
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    as
    1. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
    2. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde, 2010. "Are Risk Aversion and Impatience Related to Cognitive Ability?," American Economic Review, American Economic Association, vol. 100(3), pages 1238-1260, June.
    3. Franco Modigliani & Shi Larry Cao, 2004. "The Chinese Saving Puzzle and the Life-Cycle Hypothesis," Journal of Economic Literature, American Economic Association, vol. 42(1), pages 145-170, March.
    4. Renkow, Mitch & Hallstrom, Daniel G. & Karanja, Daniel D., 2004. "Rural infrastructure, transactions costs and market participation in Kenya," Journal of Development Economics, Elsevier, vol. 73(1), pages 349-367, February.
    5. Dean Karlan & Jonathan Zinman, 2010. "Expanding Credit Access: Using Randomized Supply Decisions to Estimate the Impacts," The Review of Financial Studies, Society for Financial Studies, vol. 23(1), pages 433-464, January.
    6. Peterson K. Ozili, 2018. "Impact of digital finance on financial inclusion and stability," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 18(4), pages 329-340, December.
    7. Deaton, Angus, 1991. "Saving and Liquidity Constraints," Econometrica, Econometric Society, vol. 59(5), pages 1221-1248, September.
    8. Du, Qingyuan & Wei, Shang-Jin, 2013. "A theory of the competitive saving motive," Journal of International Economics, Elsevier, vol. 91(2), pages 275-289.
    9. Chadwick C. Curtis & Steven Lugauer & Nelson C. Mark, 2015. "Demographic Patterns and Household Saving in China," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(2), pages 58-94, April.
    10. Carroll, Christopher D. & Weil, David N., 1994. "Saving and growth: a reinterpretation," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 40(1), pages 133-192, June.
    11. Zhong, Weiqiang & Jiang, Tingfeng, 2021. "Can internet finance alleviate the exclusiveness of traditional finance? evidence from Chinese P2P lending markets," Finance Research Letters, Elsevier, vol. 40(C).
    12. Humphrey, David B & Pulley, Lawrence B & Vesala, Jukka M, 1996. "Cash, Paper, and Electronic Payments: A Cross-Country Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(4), pages 914-939, November.
    13. Pierre-Olivier Gourinchas & Jonathan A. Parker, 2002. "Consumption Over the Life Cycle," Econometrica, Econometric Society, vol. 70(1), pages 47-89, January.
    14. V. Bhaskar & Ed Hopkins, 2016. "Marriage as a Rat Race: Noisy Premarital Investments with Assortative Matching," Journal of Political Economy, University of Chicago Press, vol. 124(4), pages 992-1045.
    15. Marcos D. Chamon & Eswar S. Prasad, 2010. "Why Are Saving Rates of Urban Households in China Rising?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 93-130, January.
    16. Olivier Blanchard & Francesco Giavazzi, 2006. "Rebalancing Growth in China: A Three‐Handed Approach," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 14(4), pages 1-20, August.
    17. Jennifer T. Lai & Isabel K. M. Yan & Xingjian Yi & Hao Zhang, 2020. "Digital Financial Inclusion and Consumption Smoothing in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 28(1), pages 64-93, January.
    18. Tsai, Kellee S., 2004. "Imperfect Substitutes: The Local Political Economy of Informal Finance and Microfinance in Rural China and India," World Development, Elsevier, vol. 32(9), pages 1487-1507, September.
    19. Chen, Rongda & Chen, Yikai & Jin, Chenglu & Xu, Guorui & Bao, Weiwei & Guo, Kenan, 2021. "Characteristics and mechanisms of not-fully marketized interest rates: Evidence from Chinese online lending," Research in International Business and Finance, Elsevier, vol. 55(C).
    20. Song, Quanyun & Li, Jie & Wu, Yu & Yin, Zhichao, 2020. "Accessibility of financial services and household consumption in China: Evidence from micro data," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    21. Christopher D. Carroll, 1994. "How does Future Income Affect Current Consumption?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(1), pages 111-147.
    22. Shang-Jin Wei & Xiaobo Zhang, 2011. "The Competitive Saving Motive: Evidence from Rising Sex Ratios and Savings Rates in China," Journal of Political Economy, University of Chicago Press, vol. 119(3), pages 511-564.
    23. Nathan Nunn & Leonard Wantchekon, 2011. "The Slave Trade and the Origins of Mistrust in Africa," American Economic Review, American Economic Association, vol. 101(7), pages 3221-3252, December.
    24. Campbell, John Y & Mankiw, N Gregory, 1990. "Permanent Income, Current Income, and Consumption," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 265-279, July.
    25. Levine, Ross & Renelt, David, 1992. "A Sensitivity Analysis of Cross-Country Growth Regressions," American Economic Review, American Economic Association, vol. 82(4), pages 942-963, September.
    26. Ge, Suqin & Yang, Dennis Tao & Zhang, Junsen, 2018. "Population policies, demographic structural changes, and the Chinese household saving puzzle," European Economic Review, Elsevier, vol. 101(C), pages 181-209.
    27. Chen, Zhenlong & Zheng, Changmei & Hao, Xiaozhen, 2022. "Volatility spillover effect between internet finance and banks," Journal of Business Research, Elsevier, vol. 141(C), pages 512-519.
    28. Martikainen, Emmi & Schmiedel, Heiko & Takalo, Tuomas, 2015. "Convergence of European retail payments," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 81-91.
    29. Hou, Xiaohui & Gao, Zhixian & Wang, Qing, 2016. "Internet finance development and banking market discipline: Evidence from China," Journal of Financial Stability, Elsevier, vol. 22(C), pages 88-100.
    30. Wang, Wangshuai & Ma, Tianjiao & Li, Jie & Zhang, Mo, 2020. "The pauper wears prada? How debt stress promotes luxury consumption," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    31. Gormley, Todd & Liu, Hong & Zhou, Guofu, 2010. "Limited participation and consumption-saving puzzles: A simple explanation and the role of insurance," Journal of Financial Economics, Elsevier, vol. 96(2), pages 331-344, May.
    32. Jin, Ye & Li, Hongbin & Wu, Binzhen, 2011. "Income inequality, consumption, and social-status seeking," Journal of Comparative Economics, Elsevier, vol. 39(2), pages 191-204, June.
    33. Gaoke Liao & Dequan Yao & Zhihao Hu, 2020. "The Spatial Effect of the Efficiency of Regional Financial Resource Allocation from the Perspective of Internet Finance: Evidence from Chinese Provinces," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(6), pages 1211-1223, May.
    34. Hancock, Diana & Humphrey, David B. & Wilcox, James A., 1999. "Cost reductions in electronic payments: The roles of consolidation, economies of scale, and technical change," Journal of Banking & Finance, Elsevier, vol. 23(2-4), pages 391-421, February.
    35. Dong, Jichang & Yin, Lijun & Liu, Xiaoting & Hu, Meiting & Li, Xiuting & Liu, Lei, 2020. "Impact of internet finance on the performance of commercial banks in China," International Review of Financial Analysis, Elsevier, vol. 72(C).
    36. Carroll, Christopher D. & Holm, Martin B. & Kimball, Miles S., 2021. "Liquidity constraints and precautionary saving," Journal of Economic Theory, Elsevier, vol. 195(C).
    37. Hayne E. Leland, 1968. "Saving and Uncertainty: The Precautionary Demand for Saving," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 82(3), pages 465-473.
    38. Dennis Tao Yang, 2012. "Aggregate Savings and External Imbalances in China," Journal of Economic Perspectives, American Economic Association, vol. 26(4), pages 125-146, Fall.
    39. Chen, Rongda & Xu, Guorui & Xu, Feng & Jin, Chenglu & Yu, Jingjing, 2022. "A clientele effect in online lending markets: Evidence from the comovement between investor sentiment and online lending rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    40. İmrohoroğlu, Ayşe & Zhao, Kai, 2018. "The chinese saving rate: Long-term care risks, family insurance, and demographics," Journal of Monetary Economics, Elsevier, vol. 96(C), pages 33-52.
    41. Ozili, Peterson Kitakogelu, 2018. "Impact of Digital Finance on Financial Inclusion and Stability," MPRA Paper 84771, University Library of Munich, Germany.
    42. Qiang Chen & Yabin Zhang & Lian Chen, 2021. "A Study of Internet Development and Enterprise Financing in China," Networks and Spatial Economics, Springer, vol. 21(3), pages 495-511, September.
    43. Sanjay Mohanty & Rajesh Chauhan & Sumit Mazumdar & Akanksha Srivastava, 2014. "Out-of-pocket Expenditure on Health Care Among Elderly and Non-elderly Households in India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 115(3), pages 1137-1157, February.
    44. Li, Jie & Wu, Yu & Xiao, Jing Jian, 2020. "The impact of digital finance on household consumption: Evidence from China," Economic Modelling, Elsevier, vol. 86(C), pages 317-326.
    45. Zhongfei Chen & Kexin Li & Ling-Yun He, 2020. "Has Internet Finance Decreased the Profitability of Commercial Banks?: Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(13), pages 3015-3032, October.
    46. Haishu Qiao & Meilin Chen & Yue Xia, 2018. "The Effects of the Sharing Economy: How Does Internet Finance Influence Commercial Bank Risk Preferences?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(13), pages 3013-3029, October.
    47. Chu, Tianshu & Wen, Qiang, 2017. "Can income inequality explain China’s saving puzzle?," International Review of Economics & Finance, Elsevier, vol. 52(C), pages 222-235.
    48. Sydney Ludvigson, 1999. "Consumption And Credit: A Model Of Time-Varying Liquidity Constraints," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 434-447, August.
    49. Zhao, Chunkai & Wu, Yaqian & Guo, Jianhao, 2022. "Mobile payment and Chinese rural household consumption," China Economic Review, Elsevier, vol. 71(C).
    50. Chiu, Yi-Bin & Sun, Chia-Hung D., 2016. "The role of savings rate in exchange rate and trade imbalance nexus: Cross-countries evidence," Economic Modelling, Elsevier, vol. 52(PB), pages 1017-1025.
    51. Fu, Junhui & Liu, Yufang & Chen, Rongda & Yu, Xiaojian & Tang, Wen, 2020. "Trade openness, internet finance development and banking sector development in China," Economic Modelling, Elsevier, vol. 91(C), pages 670-678.
    52. Taixing Liu & Beixiao Pan & Zhichao Yin, 2020. "Pandemic, Mobile Payment, and Household Consumption: Micro-Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2378-2389, August.
    53. Rongda Chen & Huiwen Chen & Chenglu Jin & Bo Wei & Lean Yu, 2020. "Linkages and Spillovers between Internet Finance and Traditional Finance: Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(6), pages 1196-1210, May.
    54. Liu, Lu, 2023. "Mortgage loan and housing market," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 736-749.
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    More about this item

    Keywords

    Internet finance; Household savings rate; CHFS; Mobile payment; Online lending;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • R29 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other

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