Impact of financial market development on housing prices: Evidence from China
DOI: https://doi.org/10.3846/ijspm.2025.24036Abstract
Housing prices in cities of China had soared by 70% from 2012 to 2021, attracting increasing public concern. Financial market development may suppress housing prices by allowing speculators to channel capital into financial markets rather than merely into the property sector, whereby it plays a critical role in shaping housing prices theoretically. This study aims to investigate the impact of financial market development on housing prices with a sample of 261 cities in China from 2011 to 2021, concluding that financial market development is negatively related to housing prices based on the GMM model. Correspondingly, a potential policy to decrease housing prices is to promote financial market development.
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housing prices, financial market development, Entropy method, GMM model, ChinaHow to Cite
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Copyright (c) 2025 The Author(s). Published by Vilnius Gediminas Technical University.
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References
Aladangady, A. (2017). Housing wealth and consumption: Evidence from geographically linked microdata. American Economic Review, 107(11), 3415–3446. https://doi.org/10.1257/aer.20150491
Anderson, T. W., & Hsiao, C. (1981). Estimation of dynamic models with error components. Journal of the American Statistical Association, 76(375), 598–606. https://doi.org/10.1080/01621459.1981.10477691
Antolin, P., & Bover, O. (1997). Regional migration in Spain: The effect of personal characteristics and of unemployment, wage and house price differentials using pooled cross-sections. Oxford Bulletin of Economics and Statistics, 59(2), 215–235. https://doi.org/10.1111/1468-0084.00061
Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic studies, 58(2), 277–297. https://doi.org/10.2307/2297968
Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29–51. https://doi.org/10.1016/0304-4076(94)01642-D
Baltagi, B. H. (2008). Econometric analysis of panel data (Vol. 4). Wiley.
Beck, T., Levine, R., & Loayza, N. (2000). Finance and the sources of growth. Journal of Financial Economics, 58(1–2), 261–300. https://doi.org/10.1016/S0304-405X(00)00072-6
Benjamin, J. D., Donald Jud, G., & Winkler, D. T. (2001). The value of smoking prohibitions in vacation rental properties. The Journal of Real Estate Finance and Economics, 22, 117–128. https://doi.org/10.1023/A:1007835511752
Bernanke, B. S., & Gertler, M. (1995). Inside the black box: The credit channel of monetary policy transmission. Journal of Economic Perspectives, 9(4), 27–48. https://doi.org/10.1257/jep.9.4.27
Bischoff, O. (2012). Explaining regional variation in equilibrium real estate prices and income. Journal of Housing Economics, 21(1), 1–15. https://doi.org/10.1016/j.jhe.2011.11.002"> https://doi.org/10.1016/j.jhe.2011.11.002
Bleck, A., & Liu, X. (2018). Credit expansion and credit misallocation. Journal of Monetary Economics, 94, 27–40. https://doi.org/10.1016/j.jmoneco.2017.09.012
Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. https://doi.org/10.1016/S0304-4076(98)00009-8
Chen, J., & Gao, B. (2012). Research on credit constraints, housing prices and resident consumption rate based on panel threshold model. Journal of Financial Research, 12(4), 45–57.
Chin, L., & Li, X. (2021). House price and bank credit in China: Analysis of first- and second-tier cities. International Journal of Housing Markets and Analysis, 14(4), 779–795. https://doi.org/10.1108/IJHMA-05-2020-0061
Chow, G. C., & Niu, L. (2015). Housing prices in urban China as determined by demand and supply. Pacific Economic Review, 20(1), 1–16. https://doi.org/10.1111/1468-0106.12080
Clark, D. E., & Hunter, W. J. (1992). The impact of economic opportunity, amenities and fiscal factors on age‐specific migration rates. Journal of Regional Science, 32(3), 349–365. https://doi.org/10.1111/j.1467-9787.1992.tb00191.x
Combes, P. P., Duranton, G., & Gobillon, L. (2019). The costs of agglomeration: House and land price in French cities. The Review of Economic Studies, 86(4), 1556–1589. https://doi.org/10.1093/restud/rdy063
Cristini, A., & Sevilla, A. (2014). Do house price affect consumption? A re-assessment of the wealth hypothesis. Economica, 81(324), 601–625. https://doi.org/10.1111/ecca.12098
Dědeček, R., & Dudzich, V. (2022). Exploring the limitations of GDP per capita as an indicator of economic development: A cross-country perspective. Review of Economic Perspectives, 22(3), 193–217. https://doi.org/10.2478/revecp-2022-0009
Dolde, W., & Tirtiroglu, D. (2002). Housing prices volatility changes and their effects. Real Estate Economics, 30(1), 41–66. https://doi.org/10.1111/1540-6229.00029
Dustmann, C., & Okatenko, A. (2014). Out-migration, wealth constraints, and the quality of local amenities. Journal of Development Economics, 110, 52–63. https://doi.org/10.1016/j.jdeveco.2014.05.008
Fratantoni, M., & Schuh, S. (2003). Monetary policy, housing, and heterogeneous regional markets. Journal of Money, Credit and Banking, 35, 557–589. https://doi.org/10.1353/mcb.2003.0029
Gabriel, S. A., Mattey, J. P., & Wascher, W. L. (1999). House price differentials and dynamics: Evidence from the Los Angeles and San Francisco Metropolitan areas. Economic Review-Federal Reserve Bank of San Francisco, 3–22.
Gallin, J. (2006). The long-run relationship between house price and income: Evidence from local housing markets. Real Estate Economics, 34(3), 417–438. https://doi.org/10.1111/j.1540-6229.2006.00172.x
Gao, Y., Zhao, C., Sun, B., & Zhao, W. (2022). Effects of investor sentiment on stock volatility: New evidences from multi-source data in China’s green stock markets. Financial Innovation, 8(1), Article 77. https://doi.org/10.1186/s40854-022-00381-2
Goodhart, C., & Hofmann, B. (2000). Do asset price help to predict consumer price inflation? The Manchester School, 68, 122–140. https://doi.org/10.1111/1467-9957.68.s1.7
He, F., & Liu, H. X. (2019). Assessment of the performance improvement effect of digital change in physical enterprises under the perspective of digital economy. Reform, (4), 137–148.
Hoehn, J. P., Berger, M. C., & Blomquist, G. C. (1987). A hedonic model of interregional wages, rents, and amenity values. Journal of Regional Science, 27(4), 605–620. https://doi.org/10.1111/j.1467-9787.1987.tb01184.x
Holly, S., Pesaran, M. H., & Yamagata, T. (2010). A spatio-temporal model of house price in the USA. Journal of Econometrics, 158(1), 160–173. https://doi.org/10.1016/j.jeconom.2010.03.040
Ibrahim, M. H., & Law, S. H. (2014). Social capital and CO2 emission–output relations: A panel analysis. Renewable and Sustainable Energy Reviews, 29, 528–534. https://doi.org/10.1016/j.rser.2013.08.076
International Monetary Fund. (2024). IMF data. https://data.imf.org
Islam, S. M., & Clarke, M. (2002). The relationship between economic development and social welfare: A new adjusted GDP measure of welfare. Social Indicators Research, 57, 201–229. https://doi.org/10.1023/A:1014481414637
Jordà, Ò., Schularick, M., & Taylor, A. M. (2015). Betting the house. Journal of International Economics, 96, S2–S18. https://doi.org/10.1016/j.jinteco.2014.12.011
Kenny, G. (1999). Modelling the demand and supply sides of the housing market: Evidence from Ireland. Economic Modelling, 16(3), 389–409. https://doi.org/10.1016/S0264-9993(99)00007-3
Kiel, K. A., & Zabel, J. E. (2008). Location, location, location: The 3L Approach to house price determination. Journal of Housing Economics, 17(2), 175–190. https://doi.org/10.1016/j.jhe.2007.12.002
King, R. G., & Levine, R. (1993). Finance, entrepreneurship, and growth: Theory and evidence. Journal of Monetary Economics, 32(3), 513–542. https://doi.org/10.1016/0304-3932(93)90028-E
Lu, M., & Chen, B. (2014). Rationality or bubble: Empirical research on urbanization, immigration and housing prices. The Journal of World Economy, (1), 30–54.
Mankiw, N. G., & Weil, D. N. (1989). The baby boom, the baby bust, and the housing market. Regional Science and Urban Economics, 19(2), 235–258. https://doi.org/10.1016/0166-0462(89)90005-7
McQuinn, K., & O’Reilly, G. (2008). Assessing the role of income and interest rates in determining house prices. Economic Modelling, 25(3), 377–390. https://doi.org/10.1016/j.econmod.2007.06.010
Numbeo. (2022). Numbeo cost of living. https://www.numbeo.com
Oates, W. E. (1969). The effects of property taxes and local public spending on property values: An empirical study of tax capitalization and the Tiebout hypothesis. Journal of Political Economy, 77(6), 957–971. https://doi.org/10.1086/259584
People’s Bank of China. (2024). China monetary policy report Q4 2023. http://www.pbc.gov.cn/en/3688229/3688353/3688356/4756453/5330013/2024041610102997035.pdf
Reinhart, C. M., & Rogoff, K. S. (2009). This time is different: Eight centuries of financial folly. Princeton University Press. https://doi.org/10.1515/9781400831722
Richter, B., Schularick, M., & Wachtel, P. (2021). When to lean against the wind. Journal of Money, Credit and Banking, 53(1), 5–39. https://doi.org/10.1111/jmcb.12701
Rousseau, P. L., & Wachtel, P. (2011). What is happening to the impact of financial deepening on economic growth? Economics Letters, 110(2), 138–140.
Saita, Y., Shimizu, C., & Watanabe, T. (2016). Aging and real estate price: Evidence from Japanese and US regional data. International Journal of Housing Markets and Analysis, 9(1), 66–87. https://doi.org/10.1108/IJHMA-11-2014-0053
Saiz, A. (2007). Immigration and housing rents in American cities. Journal of Urban Economics, 61(2), 345–371. https://doi.org/10.1016/j.jue.2006.07.004
Skaburskis, A., & Tomalty, R. (2000). The effects of property taxes and development cost charges on urban development: Perspectives of planners, developers and finance officers in Toronto and Ottawa. Canadian Journal of Regional Science, 23(2), 303–328.
Stockhammer, E. (2010). Financial market development and the global economy. Political Economy Research Institute Working Paper, 242(40), 1–17.
Tiebout, C. M. (1956). A pure theory of local expenditures. Journal of Political Economy, 64(5), 416–424. https://doi.org/10.1086/257839
Tsatsaronis, K., & Zhu, H. (2004). What drives housing prices dynamics: Cross-country evidence. BIS Quarterly Review, 65–78.
Windmeijer, F. (2005). A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics, 126(1), 25–51. https://doi.org/10.1016/j.jeconom.2004.02.005
Wong, F. W., Chan, E. H., & Yu, A. T. (2011). Property developers’ major cost concerns arising from planning regulations under a high land-price policy. Journal of Urban Planning and Development, 137(2), 112–120. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000046
Wong, P., & Lin, M. C. Y. (2024). Best-performing cities China 2023–2024: The nation’s most successful economies. https://milkeninstitute.org/sites/default/files/2024-08/BPCC2023-2024%20EN%20Final%20Report%20-%20Digital_0.pdf
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