Digital Financial Inclusion and Consumption Smoothing in China

In this paper, we investigate the effect of digital financial inclusion (DFI) on household consumption smoothing in China. We use four waves of the biennial China Family Panel Studies from 2010 to 2016, during which time DFI has significantly developed alongside financial technology across China. We split household income shocks into permanent and transitory components, and evaluate if DFI may help households to buffer against these shocks. We find that households are not able to insure against permanent shocks to income, but they can smooth approximately 70 percent of transitory shocks to income. We also find that DFI has diminished households’ ability to insure against transitory income shocks. This is partly because online purchase may lead to the oversensitivity of consumption to income. In addition, we find that contrary to DFI, traditional financial sector development contributes to better household consumption smoothing against transitory income shocks.

[1]  R. Mckinnon,et al.  Money and Capital in Economic Development , 1974 .

[2]  R. Mckinnon,et al.  Money and Capital in Economic Development. , 1974 .

[3]  Joseph Zeira,et al.  Income Distribution and Macroeconomics , 1988 .

[4]  John H. Cochrane,et al.  A Simple Test of Consumption Insurance , 1991, Journal of Political Economy.

[5]  Barbara J Mace Full Insurance in the Presence of Aggregate Uncertainty , 1991, Journal of Political Economy.

[6]  P. Bolton,et al.  A Theory of Trickle-Down Growth and Development , 1997 .

[7]  Bent E. Sørensen,et al.  International Risk Sharing and European Monetary Unification , 1998 .

[8]  Mario J. Crucini On International and National Dimensions of Risk Sharing , 1999, Review of Economics and Statistics.

[9]  Mario J. Crucini,et al.  International and Intranational Risk Sharing , 1999, SSRN Electronic Journal.

[10]  Costas Meghir,et al.  Income Variance Dynamics and Heterogeneity , 2001 .

[11]  Xin Meng Unemployment, consumption smoothing, and precautionary saving in urban China , 2003 .

[12]  J. Heathcote,et al.  Consumption and labor supply with partial insurance: An analytical framework , 2014 .

[13]  R. Levine,et al.  Finance, Financial Sector Policies, and Long-Run Growth , 2008 .

[14]  Jonathan Morduch,et al.  The Unbanked: Evidence from Indonesia , 2008 .

[15]  R. Blundell,et al.  Decomposing Changes in Income Risk Using Consumption Data , 2008, SSRN Electronic Journal.

[16]  Xinpeng Xu Consumption Risk-Sharing in China , 2008 .

[17]  Oliver M. Rui,et al.  Channels of Interprovincial Risk Sharing in China , 2011 .

[18]  T. Jappelli,et al.  Financial Integration and Consumption Smoothing , 2011 .

[19]  R. Blundell,et al.  Decomposing changes in income risk using consumption data: Decomposing changes in income risk , 2013 .

[20]  Kenneth S. Chan,et al.  Consumption risk sharing and self-insurance across provinces in China: 1952-2008 , 2014 .

[21]  Leora F. Klapper,et al.  The Global Findex Database 2014: Measuring Financial Inclusion Around the World , 2015 .

[22]  Thomas Philippon,et al.  The Fintech Opportunity , 2016, The Disruptive Impact of FinTech on Retirement Systems.

[23]  Yu Zheng,et al.  The Price of Growth: Consumption Insurance in China 1989-2009 , 2016, American Economic Journal: Macroeconomics.