IDEAS home Printed from https://ideas.repec.org/a/wly/complx/v2022y2022i1n8240806.html

Digital Financial Inclusion, Spatial Spillover, and Household Consumption: Evidence from China

Author

Listed:
  • Yao Li
  • Haiming Long
  • Jiajun Ouyang

Abstract

Financial development is often considered one of the main drivers promoting household consumption. As a form of financial development, whether digital financial inclusion can promote household consumption has been a concern for researchers and policymakers. Considering geographical connectivity characteristics, we examine the effects of digital financial inclusion on household consumption by applying spatial econometric models and using data from 31 provinces in China from 2013 to 2018. The impact of digital financial inclusion is further disaggregated into direct, indirect, and total impacts. The results show that if digital financial inclusion is improved by 1%, household consumption will correspondingly increase by 0.2207%. The spatial spillover effect on neighboring areas is negative: a 1% increase in the level of digital financial inclusion of nearby provinces leads to a 0.1289% decrease in household consumption in the local province. For policymakers, it is necessary to balance the development of digital financial inclusion and view different areas as a whole when making policies to promote consumption. Further analysis based on subsamples finds that the effect of digital financial inclusion on household consumption is more considerable for rural households than for urban households.

Suggested Citation

  • Yao Li & Haiming Long & Jiajun Ouyang, 2022. "Digital Financial Inclusion, Spatial Spillover, and Household Consumption: Evidence from China," Complexity, John Wiley & Sons, vol. 2022(1).
  • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:8240806
    DOI: 10.1155/2022/8240806
    as

    Download full text from publisher

    File URL: https://doi.org/10.1155/2022/8240806
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/8240806?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Andrei A. Levchenko, 2005. "Financial Liberalization and Consumption Volatility in Developing Countries," IMF Staff Papers, Palgrave Macmillan, vol. 52(2), pages 237-259, September.
    2. Xiaojie Liu & Jiannan Zhu & Jianfeng Guo & Changnan Cui & Huajiao Li, 2021. "Spatial Association and Explanation of China’s Digital Financial Inclusion Development Based on the Network Analysis Method," Complexity, Hindawi, vol. 2021, pages 1-13, May.
    3. J. M. Keynes, 1937. "The General Theory of Employment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 51(2), pages 209-223.
    4. Xiuhua Wang & Jian Guan, 2017. "Financial inclusion: measurement, spatial effects and influencing factors," Applied Economics, Taylor & Francis Journals, vol. 49(18), pages 1751-1762, April.
    5. Attanasio, Orazio P & Weber, Guglielmo, 1995. "Is Consumption Growth Consistent with Intertemporal Optimization? Evidence from the Consumer Expenditure Survey," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1121-1157, December.
    6. Luc Anselin & Julie Le Gallo, 2006. "Interpolation of air quality measures in hedonic house price models : spatial aspects," Post-Print hal-00485017, HAL.
    7. 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.
    8. 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).
    9. Zhao, Weimin, 2019. "Does health insurance promote people's consumption? New evidence from China," China Economic Review, Elsevier, vol. 53(C), pages 65-86.
    10. Funashima, Yoshito & Ohtsuka, Yoshihiro, 2019. "Spatial crowding-out and crowding-in effects of government spending on the private sector in Japan," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 35-48.
    11. Emile Grunberg & Franco Modigliani, 1954. "The Predictability of Social Events," Journal of Political Economy, University of Chicago Press, vol. 62(6), pages 465-465.
    12. Martin Browning & Annamaria Lusardi, 1996. "Household Saving: Micro Theories and Micro Facts," Journal of Economic Literature, American Economic Association, vol. 34(4), pages 1797-1855, December.
    13. Jordi Galí & J. David López-Salido & Javier Vallés, 2007. "Understanding the Effects of Government Spending on Consumption," Journal of the European Economic Association, MIT Press, vol. 5(1), pages 227-270, March.
    14. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2019. "Modelling dynamic impacts of urbanization on disaggregated energy consumption in China: A spatial Durbin modelling and decomposition approach," Energy Policy, Elsevier, vol. 133(C).
    15. 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.
    16. 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.
    17. Liu Yang & Youtang Zhang, 2020. "Digital Financial Inclusion and Sustainable Growth of Small and Micro Enterprises—Evidence Based on China’s New Third Board Market Listed Companies," Sustainability, MDPI, vol. 12(9), pages 1-21, May.
    18. 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.
    19. Yaya Su & Zhenghui Li & Cunyi Yang, 2021. "Spatial Interaction Spillover Effects between Digital Financial Technology and Urban Ecological Efficiency in China: An Empirical Study Based on Spatial Simultaneous Equations," IJERPH, MDPI, vol. 18(16), pages 1-27, August.
    20. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    21. Bao Zhu & Jing He & Shiting Zhai, 2019. "Does Financial Inclusion Create a Spatial Spillover Effect Between Regions? Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(5), pages 980-997, April.
    22. Klapper,Leora & Singer,Dorothe & Ansar,Saniya & Hess,Jake Richard, 2019. "Financial Risk Management in Agriculture : Analyzing Data from a New Module of the Global Findex Database," Policy Research Working Paper Series 9078, The World Bank.
    23. Zeldes, Stephen P, 1989. "Consumption and Liquidity Constraints: An Empirical Investigation," Journal of Political Economy, University of Chicago Press, vol. 97(2), pages 305-346, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhu, Danyang, 2025. "Digital financial development, farmers' digital financial behavior, and relative poverty: An empirical analysis based on data from farmers in Yongzhou City," Economic Analysis and Policy, Elsevier, vol. 86(C), pages 1801-1819.
    2. Shijun Chai & Hao Qi, 2025. "Mobile Payments and Households’ Over-indebtedness: Micro Evidence Based on Subjective and Objective Perspectives," SAGE Open, , vol. 15(4), pages 21582440251, October.
    3. Cheng, Qiongwen & Zhao, Xiaoge & Zhong, Shihu & Xing, Yudan, 2024. "Digital financial inclusion, resident consumption, and urban carbon emissions in China: A transaction cost perspective," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1336-1352.
    4. Mingzhao Xiong & Wenqi Li & Brian Sheng Xian Teo & Jaizah Othman, 2022. "Can China’s Digital Inclusive Finance Alleviate Rural Poverty? An Empirical Analysis from the Perspective of Regional Economic Development and an Income Gap," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    5. Koranteng, Barbara & You, Kefei, 2025. "Does P2P lending promote the traditional bank-based financial inclusion? Spatial evidence from 34 developing economies," Research in International Business and Finance, Elsevier, vol. 77(PB).
    6. Shan, Haiyan & Gu, Mengjie, 2024. "How does digital finance alleviate fiscal stress? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 1202-1221.
    7. Rongrong Liu & Jinbo Jiang, 2025. "The Driving Factors and Improvement Paths of CTI Integration: Based on the Spatial Dubin Model and fsQCA Method," SAGE Open, , vol. 15(1), pages 21582440241, January.
    8. Li, Yao, 2025. "How does digital financial inclusion affect households’ CO2? Micro-evidence from an emerging country," Journal of Economics and Business, Elsevier, vol. 133(C).
    9. Du, Yanan & Wang, Qingxi & Zhou, Jianping, 2023. "How does digital inclusive finance affect economic resilience: Evidence from 285 cities in China," International Review of Financial Analysis, Elsevier, vol. 88(C).
    10. Vaishali Kamboj & Dipasha Sharma, 2025. "Mapping the landscape of digital financial inclusion and proposing integrative framework: trends, influential works, and future directions," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-19, December.
    11. Yi Yang & Shuhe Shi & Jingjing Wu, 2022. "Digital Financial Inclusion to Corporation Value: The Mediating Effect of Ambidextrous Innovation," Sustainability, MDPI, vol. 14(24), pages 1-23, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhao, Chunkai & Wu, Yaqian & Guo, Jianhao, 2022. "Mobile payment and Chinese rural household consumption," China Economic Review, Elsevier, vol. 71(C).
    2. 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.
    3. Reyno Seymore & Margaret Mabugu & Jan van Heerden, 2010. "Border Tax Adjustments to Negate the Economic Impact of an Electricity Generation Tax," Working Papers 201003, University of Pretoria, Department of Economics.
    4. Hugo Benitez-Silva, 2000. "A Joint Model of Labor Supply and Consumption Decisions Under Uncertainty," Econometric Society World Congress 2000 Contributed Papers 0196, Econometric Society.
    5. Pengju Liu & Yitong Zhang & Shengqi Zhou, 2023. "Has Digital Financial Inclusion Narrowed the Urban–Rural Income Gap? A Study of the Spatial Influence Mechanism Based on Data from China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    6. Lugilde, Alba & Bande, Roberto & Riveiro, Dolores, 2017. "Precautionary Saving: a review of the theory and the evidence," MPRA Paper 77511, University Library of Munich, Germany.
    7. Orazio P. Attanasio, 1998. "Consumption Demand," NBER Working Papers 6466, National Bureau of Economic Research, Inc.
    8. Peisong Han & Liang Li & Mengjie Xu & Yujia Tian & Zekun Wang, 2026. "The impact of people’s perception of livelihood risks on household consumption in China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 13(1), pages 1-15, December.
    9. Sodokin, Koffi & Djafon, Joseph Kokouvi & Dandonougbo, Yevessé & Akakpo, Afi & Couchoro, Mawuli K. & Agbodji, Akoété Ega, 2023. "Technological change, completeness of financing microstructures, and impact on well-being and income inequality," Telecommunications Policy, Elsevier, vol. 47(6).
    10. 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.
    11. Hugo Benitez-Silva, 2000. "A Dynamic Model Of Labor Supply, Consumption/Saving, And Annuity Decisions Under Uncertainty," Computing in Economics and Finance 2000 128, Society for Computational Economics.
    12. Kim, Seewon, 2013. "Prudent consumers: New evidence from the Consumer Expenditure Survey," Economic Modelling, Elsevier, vol. 33(C), pages 77-85.
    13. Shin-Yi Chou & Jin-Tan Liu & Cliff J. Huang, 2004. "Health insurance and savings over the life cycle-a semiparametric smooth coefficient estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(3), pages 295-322.
    14. Dongjing Chen & Xiaotong Guo, 2023. "Impact of the Digital Economy and Financial Development on Residents’ Consumption Upgrading: Evidence from Mainland China," Sustainability, MDPI, vol. 15(10), pages 1-25, May.
    15. Qian Zhou & Zhipeng Qi, 2025. "How does digital inclusion finance alleviate air pollution? Spatial evidence from 1318 counties in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(12), pages 29315-29344, December.
    16. Kris Jacobs, 2001. "Estimating Nonseparable Preference Specifications for Asset Market Participants," CIRANO Working Papers 2001s-12, CIRANO.
    17. Meng, Xin, 2003. "Unemployment, consumption smoothing, and precautionary saving in urban China," Journal of Comparative Economics, Elsevier, vol. 31(3), pages 465-485, September.
    18. Ziliak, James P., 1998. "Does the choice of consumption measure matter? An application to the permanent-income hypothesis," Journal of Monetary Economics, Elsevier, vol. 41(1), pages 201-216, February.
    19. Kelley, Clare & Lanot, Gauthier, "undated". "Consumption Patterns Over Pay Periods," Economic Research Papers 269469, University of Warwick - Department of Economics.
    20. Rajat Deb, 2016. "Determinants of Savings in Sukanya Samriddhi Account: Evidence from Tripura," IIM Kozhikode Society & Management Review, , vol. 5(2), pages 120-140, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:8240806. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://onlinelibrary.wiley.com/journal/8503 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.