| Peer-Reviewed

Population Ageing, Asset Prices and Paying Ability: A Study Based on Urban Private Housing Prices in China

Received: 31 March 2022    Accepted: 19 April 2022    Published: 28 April 2022
Views:       Downloads:
Abstract

Population ageing and asset price issues, especially with regard to housing, exert a major impact on sustainable development. Since China entered the remit of an ageing society in 2001, the proportion of its elderly population has been rising. In the same period, the country’s real estate market experienced a rapid rise in house prices following the monetisation reform. Many large cities have experienced waiting lists for the purchase of private housing, and working-class groups not being able to afford it. This has become a social phenomenon in China. This study takes the social reality of China as the main research object, investigates the influencing mechanism of the ageing population structure on the residential commercial housing market, and locates paying ability, ageing, and private housing prices within the same framework. The study found that paying ability can be regarded as a regulating variable between ageing and private housing prices; consequently, a panel threshold effect model was constructed empirically to analyse the non-linear effects of ageing on private housing prices. The results show that when residents’ payment levels differ, the effect of ageing on the price of private housing also varies. Finally, by combining the 17-year panel data of 30 provinces and cities in China, it was found that all of the eastern regions of China crossed the threshold in 2010, and that all of the central and western regions crossed the threshold in 2011. At present, therefore, ageing can be said to be exerting an active impact on housing prices in China. To effectively curb the excessive rise in housing prices, the corresponding housing supply policy should be formulated from the perspective of improving the supply of housing to meet demand and the intergenerational transfer of the elderly population.

Published in International Journal of Business and Economics Research (Volume 11, Issue 2)
DOI 10.11648/j.ijber.20221102.15
Page(s) 91-101
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Population Ageing, Asset Prices, Paying Ability, Panel Threshold Effect Model, Non-linear Effects

References
[1] Mou X D, Li X T, Dong J G, et al. The impact of population aging on real estate price: An empirical study in China [J]. Systerms Engineering - Theory & Practice, 2019, 39 (4): 1018-1030.
[2] Hiller N, Lerbs O W. Aging and urban house prices [J]. Regional Science & Urban Economics, 2016, 60: 276-291.
[3] Li T P, PENG Bo, Shao H M. Has the Dramatic Rising of Housing Prices Been Driven by Population Aging?- An Empirical Study Based on Dynamic Panel Data in China [J]. Journal of China University of Geoscience (Social Science Edition), 2017, 17 (05): 105-115.
[4] Jung Man Moon. A study on the impact of demographic change on housing price in South Korea [D]. University of Kentucky, 2017.
[5] Yohan Lee, Claire A. Montgomery, Jeffrey D. Kline. The influence of age-specific migration on housing growth in the rural Midwest (USA) [J]. Landscape and Urban Planning, 2016, 148: 68-79.
[6] Edward Glaeser, Joseph Gyourko. The Economic Implications of Housing Supply [J]. Journal of economic perspectives, 2018, 32 (1): 3-30.
[7] Carlos Garriga, Aaron Hedlund, Yang Tang, Ping Wang. Rural-urban migration, structural transformation, and housing markets in China [R]. NBER Program (s), 2017.
[8] MM Li, HJ Brown. Micro-neighborhood externalities and hedonic housing prices [J]. Land economics, 1980, 56 (2): 125-142.
[9] M LeGower, R Walsh. Promise scholarship programs as place-making policy: Evidence from school enrollment and housing prices. Journal of Urban Economics, 2017, 101: 74-89.
[10] GL Wu, Q Feng, P Li. Does local governments' budget deficit push up housing prices in China? [J]. China Economic Review, 2015, 35: 183-196.
[11] KO Lee, JTL Ooi. Property rights restrictions and housing prices [J]. The Journal of Law and Economics, 2018, 61 (2): 335-360.
[12] W Liang, M Lu, H Zhang. Housing prices raise wages: Estimating the unexpected effects of land supply regulation in China. Journal of Housing Economics, 2016, 33: 70-81.
[13] Michael J. Potepan. Explaining intermetropolitan variation in housing prices, rents and land prices [J]. Real Estate Economics, 1996, 24 (2): 219-245.
[14] SI Z W, SHI Y S. The impcats of class 3A comprehensive hospitals on population distribution and housing price – Take children’s hospital of Fudan University for example. Economic Geography, 2013, 33 (10): 74-81.
[15] Burnham O. Campbell. Long swings in residential construction—The postwar experience [J]. American Economic Review, 1963, 53 (2): 508-518.
[16] Richard A. Easterlin. Long swings in US demographic and economic growth: Some findings on the historical pattern [J]. Demography, 1965, 2 (1): 490-507.
[17] Geoffrey Carliner. Income elasticity of housing demand [J]. The Review of Economics and Statistics, 1973, 55 (4): 528-532.
[18] Gong Y. The impact of population structure factors on the development of the real estate industry in the U.S.A. [J]. Population Journal, 2010, (2): 23-27.
[19] Xie C, Yuan J H. Analysis on the influence of age composition on real estate market demand based on gray theory [J]. Mathematics in practice and theory, 2010, 40 (10): 201-209.
[20] Steffen Lauf, Dagmar Haase, Birgit Kleinschmit. The effects of growth, shrinkage, population aging and preference shifts on urban development—A spatial scenario analysis of Berlin, Germany [J]. Land Use Policy, 2016, 52 (3): 240-254.
[21] Norbert Hiller, Oliver W. Lerbs. Aging and urban house prices [J]. Regional Science and Urban Economics, 2016, 60 (9): 276-291.
[22] Xinrui Wang, Eddie Chi-Man Hui, Jiuxia Sun. Population aging, mobility, and real estate price: evidence from cities in China [J]. Sustainability, 2018, 10 (9): 3140-3287.
[23] Hui, Eddie Chi-Man, Xin-Rui Wang, Sheng-Hua Jia. Fertility rate, inter-generation wealth transfer and housing price in China: A theoretical and empirical study based on the overlapping generation model [J]. Habitat international, 2016, 53: 369-378.
[24] Arindam Bandopadhyaya, Xingyuan Fei, Yu Zhang. Demographic changes and housing prices: The case of New England [J]. Journal of Accounting, Fincance and Economics, 2017, 7 (1): 86-102.
[25] Sae Woon Park, Soon-Youn Park. Ageing and house prices: evidence from Korean regional data [D]. Changwon National University, 2016.
[26] Tomoo Inoue, Yongheng Deng, Kiyohiko Nishimura, Chihiro Shimizu. Aging, inflation and property prices [R]. University of Tokyo, 2017.
[27] Philipp Jäger, Torsten Schmidt. Demographic change and house prices: Headwind or tailwind? [J]. Economics Letters, 2017, 160 (11): 82-85.
[28] Yumi Saita, Chihiro Shimizu, Tsutomu Watanabe. Aging and real estate prices: evidence from Japanese and US regional data [J]. International Journal of Housing Markets and Analysis, 2016, 9 (1): 66-87.
[29] Zhangming Wang, Chengzhang Wang, Qian Zhang. Population ageing, urbanization and housing demand [J]. Journal of Service Science and Management, 2015, 8: 516-525.
[30] Előd Takáts. Aging and house prices [J]. Journal of Housing Economics, 2012, 21 (2): 131-141.
[31] CC Carter, Z Lin, MT Allen, WJ Haloupek. Another look at effects of “adults-only” age restrictions on housing prices [J]. The Journal of Real Estate Fiance and Economics, 2013, 46 (1): 115-130.
[32] Yongrui Zheng. The Impact of population age structure on real estates price - Evidence from China provincial panel data [J]. Open Journal of Social Sciences, 2017, 5: 212-222.
[33] James M. Poterba. Demographic structure and asset returns [J]. Review of Economics and Statistics, 2001, 83 (4): 565-584.
[34] Frans Dieleman. Households and housing: Choice and outcomes in the housing market [M], 2017 New York, Routledge.
[35] Yu Chen, Kenneth Gibb, Chris Leishman, Rober Wright. The impact of population ageing on house prices: A micro-simulation approach [J]. Scottish Journal of Political Economy, 2012, 59 (5): 523-542.
[36] Li Y, Gao B. Analysis of the effect of population age structure on the residential market [J]. Reform of Economic System, 2011 (6): 38-42.
[37] Chen Y B. Is the impact of the aging population on the Chinese economy? [N]. Guangming Daily, 2013-03-22 (011).
[38] Yin R Y. Study on the influence of urban development elements agglomeration on housing price [D]. Chongqing University, 2017.
[39] Mankiw N G, Weil D N. The baby room, the baby bust, and the housing market [J]. Regional Science & Urban Economics, 1989, 19 (2): 235-258.
[40] Modigliani F. Life cycle, individual thrift, and the wealth of nations [J]. Science, 1986, 234 (4777): 704-712.
[41] Abramsson M, Andersson E. Changing preferences with aging-Housing choices and housing plans of older people [J]. Housing Theory & Society, 2015 (2): 1-25.
[42] Zou J. Heterogeneity influence of demographic trends on house prices [J]. Economic Survey, 2017 (1): 94-99.
[43] Zhu L L, Li X T, Dong J C. Research on the impact of aging on urban housing demand [J]. Journal of Systems science and Mathematical Sciences, 2016, 36 (1): 61-74.
[44] Guo N. A research on effeciveness of aging to real estate prices fluctuation [J]. Price: Theory & Practice, 2016 (5): 93-96.
Cite This Article
  • APA Style

    Wei Ren, Liwen Chen. (2022). Population Ageing, Asset Prices and Paying Ability: A Study Based on Urban Private Housing Prices in China. International Journal of Business and Economics Research, 11(2), 91-101. https://doi.org/10.11648/j.ijber.20221102.15

    Copy | Download

    ACS Style

    Wei Ren; Liwen Chen. Population Ageing, Asset Prices and Paying Ability: A Study Based on Urban Private Housing Prices in China. Int. J. Bus. Econ. Res. 2022, 11(2), 91-101. doi: 10.11648/j.ijber.20221102.15

    Copy | Download

    AMA Style

    Wei Ren, Liwen Chen. Population Ageing, Asset Prices and Paying Ability: A Study Based on Urban Private Housing Prices in China. Int J Bus Econ Res. 2022;11(2):91-101. doi: 10.11648/j.ijber.20221102.15

    Copy | Download

  • @article{10.11648/j.ijber.20221102.15,
      author = {Wei Ren and Liwen Chen},
      title = {Population Ageing, Asset Prices and Paying Ability: A Study Based on Urban Private Housing Prices in China},
      journal = {International Journal of Business and Economics Research},
      volume = {11},
      number = {2},
      pages = {91-101},
      doi = {10.11648/j.ijber.20221102.15},
      url = {https://doi.org/10.11648/j.ijber.20221102.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20221102.15},
      abstract = {Population ageing and asset price issues, especially with regard to housing, exert a major impact on sustainable development. Since China entered the remit of an ageing society in 2001, the proportion of its elderly population has been rising. In the same period, the country’s real estate market experienced a rapid rise in house prices following the monetisation reform. Many large cities have experienced waiting lists for the purchase of private housing, and working-class groups not being able to afford it. This has become a social phenomenon in China. This study takes the social reality of China as the main research object, investigates the influencing mechanism of the ageing population structure on the residential commercial housing market, and locates paying ability, ageing, and private housing prices within the same framework. The study found that paying ability can be regarded as a regulating variable between ageing and private housing prices; consequently, a panel threshold effect model was constructed empirically to analyse the non-linear effects of ageing on private housing prices. The results show that when residents’ payment levels differ, the effect of ageing on the price of private housing also varies. Finally, by combining the 17-year panel data of 30 provinces and cities in China, it was found that all of the eastern regions of China crossed the threshold in 2010, and that all of the central and western regions crossed the threshold in 2011. At present, therefore, ageing can be said to be exerting an active impact on housing prices in China. To effectively curb the excessive rise in housing prices, the corresponding housing supply policy should be formulated from the perspective of improving the supply of housing to meet demand and the intergenerational transfer of the elderly population.},
     year = {2022}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Population Ageing, Asset Prices and Paying Ability: A Study Based on Urban Private Housing Prices in China
    AU  - Wei Ren
    AU  - Liwen Chen
    Y1  - 2022/04/28
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ijber.20221102.15
    DO  - 10.11648/j.ijber.20221102.15
    T2  - International Journal of Business and Economics Research
    JF  - International Journal of Business and Economics Research
    JO  - International Journal of Business and Economics Research
    SP  - 91
    EP  - 101
    PB  - Science Publishing Group
    SN  - 2328-756X
    UR  - https://doi.org/10.11648/j.ijber.20221102.15
    AB  - Population ageing and asset price issues, especially with regard to housing, exert a major impact on sustainable development. Since China entered the remit of an ageing society in 2001, the proportion of its elderly population has been rising. In the same period, the country’s real estate market experienced a rapid rise in house prices following the monetisation reform. Many large cities have experienced waiting lists for the purchase of private housing, and working-class groups not being able to afford it. This has become a social phenomenon in China. This study takes the social reality of China as the main research object, investigates the influencing mechanism of the ageing population structure on the residential commercial housing market, and locates paying ability, ageing, and private housing prices within the same framework. The study found that paying ability can be regarded as a regulating variable between ageing and private housing prices; consequently, a panel threshold effect model was constructed empirically to analyse the non-linear effects of ageing on private housing prices. The results show that when residents’ payment levels differ, the effect of ageing on the price of private housing also varies. Finally, by combining the 17-year panel data of 30 provinces and cities in China, it was found that all of the eastern regions of China crossed the threshold in 2010, and that all of the central and western regions crossed the threshold in 2011. At present, therefore, ageing can be said to be exerting an active impact on housing prices in China. To effectively curb the excessive rise in housing prices, the corresponding housing supply policy should be formulated from the perspective of improving the supply of housing to meet demand and the intergenerational transfer of the elderly population.
    VL  - 11
    IS  - 2
    ER  - 

    Copy | Download

Author Information
  • School of Economics, North China University of Science and Technology, Tangshan, China

  • School of Economics and Management, Hebei University of Technology, Tianjin, China

  • Sections