IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v53y2023ics1544612323000454.html
   My bibliography  Save this article

A blessing in disguise—The effect of China’s Covid-19 health code system on older people’s mobile payment usage

Author

Listed:
  • Zhu, Jialiang
  • Liu, Yun
  • Fang, Ying

Abstract

In early 2020, China launched a health code system to combat the spread of Covid-19. The required health code led to a drastic uptake of smartphone usage among older residents. This paper uses rich commercial data from the Zhejiang Province of China to track the change in consumption among the older population. The paper finds that older people significantly increased spending after switching to mobile payment. The paper contributes to the literature by identifying the unexpected windfall from the effect of the health code mandate on the older population and demonstrating that digital payment works well in the older population.

Suggested Citation

  • Zhu, Jialiang & Liu, Yun & Fang, Ying, 2023. "A blessing in disguise—The effect of China’s Covid-19 health code system on older people’s mobile payment usage," Finance Research Letters, Elsevier, vol. 53(C).
  • Handle: RePEc:eee:finlet:v:53:y:2023:i:c:s1544612323000454
    DOI: 10.1016/j.frl.2023.103671
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612323000454
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2023.103671?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fujiki, Hiroshi & Tanaka, Migiwa, 2014. "Currency demand, new technology, and the adoption of electronic money: Micro evidence from Japan," Economics Letters, Elsevier, vol. 125(1), pages 5-8.
    2. Yiping Huang & Xue Wang & Xun Wang, 2020. "Mobile Payment in China: Practice and Its Effects," Asian Economic Papers, MIT Press, vol. 19(3), pages 1-18, Fall.
    3. 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.
    4. 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.
    5. Zhao, Chunkai & Wu, Yaqian & Guo, Jianhao, 2022. "Mobile payment and Chinese rural household consumption," China Economic Review, Elsevier, vol. 71(C).
    6. Anna Makles, 2012. "Stata tip 110: How to get the optimal k-means cluster solution," Stata Journal, StataCorp LP, vol. 12(2), pages 347-351, June.
    7. Li, Changsheng & Lin, Liqiong & Gan, Christopher E.C., 2016. "China credit constraints and rural households’ consumption expenditure," Finance Research Letters, Elsevier, vol. 19(C), pages 158-164.
    Full references (including those not matched with items on IDEAS)

    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 & Wang, Yuhang & Ge, Zhenyu, 2023. "Is digital finance environmentally friendly in China? Evidence from shared-bike trips," Transport Policy, Elsevier, vol. 138(C), pages 129-143.
    2. Zhao, Chunkai & Wu, Yaqian & Guo, Jianhao, 2022. "Mobile payment and Chinese rural household consumption," China Economic Review, Elsevier, vol. 71(C).
    3. Weisong Qiu & Tieqi Wu & Peng Xue, 2022. "Can Mobile Payment Increase Household Income and Mitigate the Lower Income Condition Caused by Health Risks? Evidence from Rural China," IJERPH, MDPI, vol. 19(18), pages 1-15, September.
    4. 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.
    5. Zhou, Xianbo & Sun, Yucheng & Tao, Ying, 2023. "Does Digital Finance Upgrade Trickle-down consumption effect in China?," Economic Modelling, Elsevier, vol. 118(C).
    6. Xiaowen Xie, 2023. "Analyzing the Impact of Digital Inclusive Finance on Poverty Reduction: A Study Based on System GMM in China," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
    7. He, Congxian & Zhou, Can & Wen, Huwei, 2024. "Improving the consumer welfare of rural residents through public support policies: A study on old revolutionary areas in China," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    8. Hongyun Zheng & Wanglin Ma, 2022. "Scan the QR Code of Happiness: Can Mobile Payment Adoption Make People Happier?," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(4), pages 2299-2310, August.
    9. Mohamed, Abdinur Ali, 2023. "The influence of the mobile money payment on the performance of small and medium enterprises in Somalia," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    10. Zhang, Jiaping & Zhang, Huirong & Gong, Xiaomei, 2022. "Mobile payment and rural household consumption: Evidence from China," Telecommunications Policy, Elsevier, vol. 46(3).
    11. Boou Chen & Chunkai Zhao, 2021. "Poverty reduction in rural China: Does the digital finance matter?," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-27, December.
    12. Huang, Hongyun & Mbanyele, William & Fan, Shuangshuang & Zhao, Xin, 2022. "Digital financial inclusion and energy-environment performance: What can learn from China," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 342-366.
    13. Yang, Wei & Vatsa, Puneet & Ma, Wanglin & Zheng, Hongyun, 2023. "Does mobile payment adoption really increase online shopping expenditure in China: A gender-differential analysis," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 99-110.
    14. Lanhua Zhang & Manxiu Ning & Chaoying Yang, 2023. "Evaluation of the Mechanism and Effectiveness of Digital Inclusive Finance to Drive Rural Industry Prosperity," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    15. 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).
    16. Li, Xingguang & Zhang, Jianjun, 2024. "Rural digital credit and residential energy consumption: Evidence from the agricultural production perspective," Energy, Elsevier, vol. 290(C).
    17. Guo, Xiaoxin & Zhong, Shihu, 2023. "Unintended consequences: How does digital inclusive finance affect migrants' urban settlement intentions?," International Review of Financial Analysis, Elsevier, vol. 89(C).
    18. He, Yuan & Li, Ke & Wang, Yipan, 2022. "Crossing the digital divide: The impact of the digital economy on elderly individuals’ consumption upgrade in China," Technology in Society, Elsevier, vol. 71(C).
    19. Zhao, Tianrui & Chen, Kezheng & Wang, Qian & Luo, Chunyang, 2023. "Financial literacy, liquidity constraits and household risk asset allocation," Finance Research Letters, Elsevier, vol. 58(PC).
    20. Yingzi Chen & Wanwan Yang & Yaqi Hu, 2022. "Internet Development, Consumption Upgrading and Carbon Emissions—An Empirical Study from China," IJERPH, MDPI, vol. 20(1), pages 1-23, December.

    More about this item

    Keywords

    Health code; Digital finance; Older people’s consumption behavior;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

    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:eee:finlet:v:53:y:2023:i:c:s1544612323000454. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.