IDEAS home Printed from https://ideas.repec.org/a/spr/fininn/v11y2025i1d10.1186_s40854-025-00778-9.html
   My bibliography  Save this article

Does the housing provident fund cause housing inequality? The micromechanism and macroeffect in China

Author

Listed:
  • Anquan Zhang

    (Southwestern University of Finance and Economics)

  • Lu Liu

    (Southwestern University of Finance and Economics)

Abstract

This study explores the housing distribution effect of the Housing Provident Fund (HPF) system on households. Utilizing data from the China Household Finance Survey conducted in 2013, 2015, 2017, and 2019, this study empirically investigates this effect from two dimensions: the impact of HPF payments on household income and housing loan behavior, and the impact on the Gini coefficient of housing assets within the group. The results indicate that the HPF payment does not significantly impact household income levels. Instead, it increases their likelihood of obtaining housing loans, particularly for middle-income households. Additionally, for any group of families, the HPF payment decreased the housing Gini coefficient among households by approximately 0.11 units. This study may be the first to provide the most direct empirical evidence on the extent of HPF’s impact on housing inequality within a group. It also questions the inference in the literature that “HPF will aggravate housing inequality within the group.” Based on this study’s findings, we expect that housing inequality will continue to be alleviated with continued HPF implementation. In particular, this effect will be more significant if the credit support for low-income families to purchase houses through the HPF can be further enhanced.

Suggested Citation

  • Anquan Zhang & Lu Liu, 2025. "Does the housing provident fund cause housing inequality? The micromechanism and macroeffect in China," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-28, December.
  • Handle: RePEc:spr:fininn:v:11:y:2025:i:1:d:10.1186_s40854-025-00778-9
    DOI: 10.1186/s40854-025-00778-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s40854-025-00778-9
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1186/s40854-025-00778-9?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
    ---><---

    References listed on IDEAS

    as
    1. Davide Cantoni & Yuyu Chen & David Y. Yang & Noam Yuchtman & Y. Jane Zhang, 2017. "Curriculum and Ideology," Journal of Political Economy, University of Chicago Press, vol. 125(2), pages 338-392.
    2. Raj Chetty & Adam Looney & Kory Kroft, 2009. "Salience and Taxation: Theory and Evidence," American Economic Review, American Economic Association, vol. 99(4), pages 1145-1177, September.
    3. Zhang, Anquan & Ni, Pengfei & Ling, Chen, 2022. "Peer effects in rural housing demand: Evidence from China," China Economic Review, Elsevier, vol. 73(C).
    4. Mengkai Chen & Yidong Wu & Guiwen Liu & Xianzhu Wang, 2020. "The Effect of the Housing Provident Fund on Income Redistribution: The Case of China," Housing Policy Debate, Taylor & Francis Journals, vol. 30(6), pages 879-899, November.
    5. 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.
    6. Xiang Zhang & Yanhuang Zheng & Chuanhao Tian, 2021. "Who Benefits from the Housing Provident Fund System in China? An Analysis of the Internal Rate of Return for Typical Employees with Different Incomes," Sustainability, MDPI, vol. 13(9), pages 1-18, April.
    7. Yilan Xu, 2017. "Mandatory savings, credit access and home ownership: The case of the housing provident fund," Urban Studies, Urban Studies Journal Limited, vol. 54(15), pages 3446-3463, November.
    8. Zhou, Xiaoqing, 2020. "A quantitative evaluation of the Housing Provident Fund program in China," China Economic Review, Elsevier, vol. 61(C).
    9. Lan Deng & Xiang Yan & Jie Chen, 2021. "Housing affordability, subsidized lending and cross-city variation in the performance of China’s housing provident fund program," Housing Studies, Taylor & Francis Journals, vol. 36(4), pages 455-478, June.
    10. Larissa Batrancea, 2021. "Empirical Evidence Regarding the Impact of Economic Growth and Inflation on Economic Sentiment and Household Consumption," JRFM, MDPI, vol. 14(7), pages 1-16, July.
    11. Li, Pei & Lu, Yi & Wang, Jin, 2016. "Does flattening government improve economic performance? Evidence from China," Journal of Development Economics, Elsevier, vol. 123(C), pages 18-37.
    12. Davide Cantoni & Yuyu Chen & David Y. Yang & Noam Yuchtman & Y. Jane Zhang, 2017. "Curriculum and Ideology," Journal of Political Economy, University of Chicago Press, vol. 125(2), pages 338-392.
    13. Liu, Lu, 2023. "Mortgage loan and housing market," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 736-749.
    14. Liu, Lu & Wang, Qiuyun & Zhang, Anquan, 2019. "The impact of housing price on non-housing consumption of the Chinese households: A general equilibrium analysis," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 152-164.
    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. Ran Gu & Zenghua He, 2023. "Can Environmental Regulation Improve Labor Allocation Efficiency? Evidence from China’s New Environmental Protection Law," Sustainability, MDPI, vol. 15(7), pages 1-15, March.
    2. Ji, Xi & Wu, Guowei & Su, Pinyi & Luo, Xuanyuan & Long, Xianling, 2022. "Does legislation improvement alleviate the decoupling between welfare and wealth in China?," Ecological Economics, Elsevier, vol. 201(C).
    3. Chen, Mengkai & Liu, Tong & Wang, Xianzhu, 2024. "The effect of the housing provident fund on housing affordability in Urban China: A quantitative analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 1-11.
    4. Lai, Shaojie & Yang, Laifeng & Wang, Qing & Anderson, Hamish D., 2023. "Judicial independence and corporate innovation: Evidence from the establishment of circuit courts," Journal of Corporate Finance, Elsevier, vol. 80(C).
    5. Mengkai Chen & Zuxing Deng & Lei Chen, 2024. "A New Perspective on the Settlement Intentions of Migrants in China: Financial Support for Housing," SAGE Open, , vol. 14(2), pages 21582440241, April.
    6. Becker, Sascha O. & Mukand, Sharun & Yotzov, Ivan, 2022. "Persecution, pogroms and genocide: A conceptual framework and new evidence," Explorations in Economic History, Elsevier, vol. 86(C).
    7. Ren, Xiaohang & Zeng, Gudian & Dong, Kangyin & Wang, Kun, 2023. "How does high-speed rail affect tourism development? The case of the Sichuan-Chongqing Economic Circle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    8. Zhao, Yucong & Wang, Ting & Ye, Bing, 2025. "Pandemic lockdowns and trust in local government in China," Journal of Comparative Economics, Elsevier, vol. 53(1), pages 96-117.
    9. María Angelica Bautista & Felipe Gonz�lez & Luis R. Mart�nez & Pablo Munoz & Mounu Prem, 2018. "The Geography of Repression and Support for Democracy: Evidence from the Pinochet Dictatorship," Documentos de Trabajo 17007, Universidad del Rosario.
    10. Bühler, Mathias & Madestam, Andreas, 2023. "State Repression, Exit, and Voice: Living in the Shadow of Cambodia's Killing Fields," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277610, Verein für Socialpolitik / German Economic Association.
    11. Tan, Xiujie & Xiao, Ziwei & Liu, Yishuang & Taghizadeh-Hesary, Farhad & Wang, Banban & Dong, Hanmin, 2022. "The effect of green credit policy on energy efficiency: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    12. Yang, Jinghao & Chen, Siyu, 2023. "Corporate financialization, digitalization and green innovation: A panel investigation on Chinese listed firms," Innovation and Green Development, Elsevier, vol. 2(3).
    13. Lu, Shengfeng & Chen, Sixia & Wang, Peigang, 2019. "Language barriers and health status of elderly migrants: Micro-evidence from China," China Economic Review, Elsevier, vol. 54(C), pages 94-112.
    14. Prusa, Thomas J. & Teh, Robert & Zhu, Min, 2022. "PTAs and the incidence of antidumping disputes," Journal of International Economics, Elsevier, vol. 138(C).
    15. Jian Chen & Xiaohui Tian & Jialing Yu, 2024. "How a price‐support policy can hurt the environment: Empirical evidence from Northeast China," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 72(2), pages 131-148, June.
    16. María Angelica Bautista & Felipe González & Luis R. Martínez & Pablo Munoz & Mounu Prem, 2018. "The Geography of Repression and Support for Democracy: Evidence from the Pinochet Dictatorship," Documentos de Trabajo 17007, Universidad del Rosario.
    17. Zhang, Yiren & Ran, Congjing, 2023. "Effect of digital economy on air pollution in China? New evidence from the “National Big Data Comprehensive Pilot Area” policy," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 986-1004.
    18. Wang, Xuhui & Xi, Haonan, 2023. "Carbon mitigation policy and international tourism. Does the European Union Emissions Trading System hit international tourism from member states?," Annals of Tourism Research, Elsevier, vol. 103(C).
    19. Xu, Lan & Yang, Jun & Cheng, Jixin & Dong, Hanghang, 2022. "How has China's low-carbon city pilot policy influenced its CO2 abatement costs? Analysis from the perspective of the shadow price," Energy Economics, Elsevier, vol. 115(C).
    20. Zhao, Yujie & Zhang, Zixuan & Zhang, Boyuan & Sun, Haixia, 2024. "Does administrative monopoly regulation affect cross-regional resource allocation?," Economics Letters, Elsevier, vol. 243(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • P25 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Urban, Rural, and Regional Economics
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth

    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:spr:fininn:v:11:y:2025:i:1:d:10.1186_s40854-025-00778-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.