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Spatial Misallocation in Chinese Housing and Land Markets

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  • Yongheng Deng
  • Yang Tang
  • Ping Wang
  • Jing Wu

Abstract

Housing and land prices in China have experienced dramatic hikes over the past decade or two. Moreover, housing and land prices have also become more dispersed across Chinese cities. This paper intends to explore how housing and land market frictions may affect not only the aggregate but also the spatial distribution of housing and land prices and hence the extent of spatial misallocation. We first document the spatial variations of housing and land market frictions. In particular, larger tier-1 cities receive less housing and land subsidies, compared to tier-2 and tier-3 cities, whereas land frictions have been mitigated over time. We then embed both types of market frictions into a dynamic competitive spatial equilibrium framework featured with endogenous rural-urban migration. The calibrated model can reasonably mimic the price hikes in the data. Our counterfactual analysis reveals that, in a frictionless economy, the levels of housing and land prices would both be higher; while the housing price hike would slow down, the land price would grow more rapidly. Moreover, the housing price would not be slow down unless housing frictions can be largely mitigated.

Suggested Citation

  • Yongheng Deng & Yang Tang & Ping Wang & Jing Wu, 2020. "Spatial Misallocation in Chinese Housing and Land Markets," NBER Working Papers 27230, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:27230
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    Cited by:

    1. Charles Ka Yui LEUNG, 2022. "Housing and Macroeconomics," ISER Discussion Paper 1197, Institute of Social and Economic Research, Osaka University.
    2. Garriga, Carlos & Hedlund, Aaron & Tang, Yang & Wang, Ping, 2021. "Rural-urban migration and house prices in China," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    3. Charles Ka Yui Leung & (single author only), 2021. "Handbook of Real Estate and Macroeconomics: An Introduction," ISER Discussion Paper 1137, Institute of Social and Economic Research, Osaka University.
    4. Rongsheng Tang & Yang Tang & Rongjie Zhang, 2024. "The Aggregate and Distributional Impacts of Residence Policy Relaxation," The Journal of Real Estate Finance and Economics, Springer, vol. 69(2), pages 343-376, August.
    5. Henderson, J. Vernon & Su, Dongling & Zhang, Qinghua & Zheng, Siqi, 2022. "Political manipulation of urban land markets: Evidence from China," Journal of Public Economics, Elsevier, vol. 214(C).
    6. Yan Song & Jiang Zhou & Yingjie Zhang & Dingxin Wu & Honghai Xu, 2022. "How Much Are Amenities Worth? An Empirical Study on Urban Land and Housing Price Differentials across Chinese Cities," Land, MDPI, vol. 11(6), pages 1-16, June.
    7. Fei, Xuan, 2022. "Trade liberalization and structural changes: Prefecture-level evidence from China," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 103-126.

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    More about this item

    JEL classification:

    • D15 - Microeconomics - - Household Behavior - - - Intertemporal Household Choice; Life Cycle Models and Saving
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General

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