IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v9y2025i15p263-280.html
   My bibliography  Save this article

The Impact of China’s Aging Population on Real Estate Prices – Based on 31 Provinces in China

Author

Listed:
  • Wu Guixian

    (Universiti Kebangsaan Malaysia)

  • Doris Padmini Selvaratnam

    (Universiti Kebangsaan Malaysia)

Abstract

Housing and aging are both major issues that China needs to solve today. China’s real estate market continues to heat up, and the real estate industry has gradually become a pillar industry that affects China’s national economy. The central core of real estate market growth consists of both supply and demand. At present, the elasticity of China’s real estate supply market is low, and the demand market dictates the behavior of the real estate market to a greater degree. The main body of housing demand is people, and population factors are one of the basic core factors affecting housing prices. Aging is an important indicator of population structure. Today, China’s population aging is deepening year by year, and it has become an important trend in social development, which will have a profound impact on the future real estate market. As aging deepens and the number of older persons increases, the need for new housing is likely to wane, while the demand for elderly care real estate, community services and other fields will increase, triggering structural changes in the real estate market. In this regard, based on the social phenomenon of rising house prices and an aging population in China, this article deeply analyzes the internal mechanism of how an aging population affects housing prices in China, which is not only conducive to optimizing the population structure and rationally coping with an aging population, but also helps to promote the sustainability of house prices. After combing through the literature on population aging and housing price fluctuations, this paper adopts a two-way fixed effect model and uses panel data from 31 provinces and cities in China from 2009 to 2019 to organize the analysis of how the aging population will affect the house prices. The empirical results show that as population aging deepens, it has a beneficial effect on the rise of house prices. Finally, the paper makes relevant policy recommendations to deliver the necessary reference and support for optimizing the population structure, rational development of the real estate market, and high-quality economic development.

Suggested Citation

  • Wu Guixian & Doris Padmini Selvaratnam, 2025. "The Impact of China’s Aging Population on Real Estate Prices – Based on 31 Provinces in China," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(15), pages 263-280, February.
  • Handle: RePEc:bcp:journl:v:9:y:2025:i:15:p:263-280
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-9-issue-15/263-280.pdf
    Download Restriction: no

    File URL: https://rsisinternational.org/journals/ijriss/articles/the-impact-of-chinas-aging-population-on-real-estate-prices-based-on-31-provinces-in-china/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shihong Zeng & Xinwei Zhang & Xiaowei Wang & Guowang Zeng, 2019. "Population Aging, Household Savings and Asset Prices: A Study Based on Urban Commercial Housing Prices," Sustainability, MDPI, vol. 11(11), pages 1-21, June.
    2. Yingchao Lin & Zhili Ma & Ke Zhao & Weiyan Hu & Jing Wei, 2018. "The Impact of Population Migration on Urban Housing Prices: Evidence from China’s Major Cities," Sustainability, MDPI, vol. 10(9), pages 1-14, September.
    3. Xinrui Wang & Eddie Chi-Man Hui & Jiuxia Sun, 2018. "Population Aging, Mobility, and Real Estate Price: Evidence from Cities in China," Sustainability, MDPI, vol. 10(9), pages 1-13, September.
    4. Meng Li & Kunrong Shen, 2013. "Population Aging and Housing Consumption: A Nonlinear Relationship in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 21(5), pages 60-77, September.
    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. Yihua Wang & Tomoko Kinugasa, 2022. "The relationship between demographic change and house price: Chinese evidence," International Journal of Economic Policy Studies, Springer, vol. 16(1), pages 43-65, February.
    2. Sheen Low & Fahim Ullah & Sara Shirowzhan & Samad M. E. Sepasgozar & Chyi Lin Lee, 2020. "Smart Digital Marketing Capabilities for Sustainable Property Development: A Case of Malaysia," Sustainability, MDPI, vol. 12(13), pages 1-40, July.
    3. Taoyuan Wei & Qin Zhu & Solveig Glomsrød, 2018. "Ageing Impact on the Economy and Emissions in China: A Global Computable General Equilibrium Analysis," Energies, MDPI, vol. 11(4), pages 1-13, April.
    4. Ding, Yemin & Chin, Lee & Lu, Mengqiu, 2023. "Does market sentiment push up China’s housing prices? - An empirical study based on the data of 45 mainstream cities in China," MPRA Paper 124031, University Library of Munich, Germany.
    5. Wenwen Sun & Daisuke Murakami & Xin Hu & Zhuoran Li & Akari Nakai Kidd & Chunlu Liu, 2023. "Supply–Demand Imbalance in School Land: An Eigenvector Spatial Filtering Approach," Sustainability, MDPI, vol. 15(17), pages 1-14, August.
    6. Kai Li & Zhili Ma & Guozhou Zhang, 2019. "Evaluation of the Supply-Side Efficiency of China’s Real Estate Market: A Data Envelopment Analysis," Sustainability, MDPI, vol. 11(1), pages 1-18, January.
    7. Kai Li & Zhili Ma & Jinjin Liu, 2019. "A New Trend in the Space–Time Distribution of Cultivated Land Occupation for Construction in China and the Impact of Population Urbanization," Sustainability, MDPI, vol. 11(18), pages 1-23, September.
    8. Lee, Chien-Chiang & Yan, Jingyang & Wang, Fuhao, 2024. "Impact of population aging on food security in the context of artificial intelligence: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    9. Sidong Zhao & Kaixu Zhao & Ping Zhang, 2021. "Spatial Inequality in China’s Housing Market and the Driving Mechanism," Land, MDPI, vol. 10(8), pages 1-33, August.
    10. Liangzhen Zang & Yiqing Su, 2019. "Internal Coordinated Development of China’s Urbanization and Its Spatiotemporal Evolution," Sustainability, MDPI, vol. 11(3), pages 1-17, January.
    11. Seunghun Chung & Oudom Hean, 2023. "The Effects of Aging Populations on U.S. Communities," Economies, MDPI, vol. 11(11), pages 1-9, November.
    12. Rong Wang & Li Ye & Liwen Chen, 2019. "The Impact of High-Speed Rail on Housing Prices: Evidence from China’s Prefecture-Level Cities," Sustainability, MDPI, vol. 11(13), pages 1-18, July.
    13. Mr. Adrian Alter & Elizabeth M. Mahoney, 2020. "Household Debt and House Prices-at-risk: A Tale of Two Countries," IMF Working Papers 2020/042, International Monetary Fund.
    14. Marta Sylla & Tadeusz Lasota & Szymon Szewrański, 2019. "Valuing Environmental Amenities in Peri-Urban Areas: Evidence from Poland," Sustainability, MDPI, vol. 11(3), pages 1-15, January.
    15. Fahim Ullah & Samad M. E. Sepasgozar, 2020. "Key Factors Influencing Purchase or Rent Decisions in Smart Real Estate Investments: A System Dynamics Approach Using Online Forum Thread Data," Sustainability, MDPI, vol. 12(11), pages 1-36, May.
    16. Xiaoping Zhou & Tong Lei & Yuyao Wang & Tianzheng Zhang & Yingjie Zhang & Yan Song & Yingxiang Zeng, 2022. "The spillover effect of senior neighbors on housing prices: Evidence from Beijing, China," Growth and Change, Wiley Blackwell, vol. 53(4), pages 1783-1812, December.
    17. Zhou, Qian & Shao, Qinglong & Zhang, Xiaoling & Chen, Jie, 2020. "Do housing prices promote total factor productivity? Evidence from spatial panel data models in explaining the mediating role of population density," Land Use Policy, Elsevier, vol. 91(C).
    18. Xiao Shen & Jingbo Liang & Jiangning Cao & Zhengwen Wang, 2022. "How Population Aging Affects Industrial Structure Upgrading: Evidence from China," IJERPH, MDPI, vol. 19(23), pages 1-23, December.
    19. Cheng-Hong Yang & Borcy Lee & Yu-Da Lin, 2022. "Effect of Money Supply, Population, and Rent on Real Estate: A Clustering Analysis in Taiwan," Mathematics, MDPI, vol. 10(7), pages 1-17, April.
    20. Pablo Garmendia & Gabriela Topa & Teresa Herrador & Montserrat Hernández, 2019. "Does Death Anxiety Moderate the Adequacy of Retirement Savings? Empirical Evidence from 40-Plus Clients of Spanish Financial Advisory Firms," IJFS, MDPI, vol. 7(3), pages 1-13, 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:bcp:journl:v:9:y:2025:i:15:p:263-280. 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: Dr. Pawan Verma (email available below). General contact details of provider: https://rsisinternational.org/journals/ijriss/ .

    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.